Selected Publications

2020
Ernst, U. A., Chen, X., Bohnenkamp, L., Galashan, F. O., & Wegener, D. (2020). A simple canonical circuitry for non-stationary normalization by inhibition to explain and predict change detection in monkey area MT. Biorxiv. http://doi.org/https://doi.org/10.1101/2020.06.19.161414
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Lisitsyn, D., Grothe, I., Kreiter, A. K., & Ernst, U. A. (2020). Visual stimulus content in V4 is conveyed by gamma-rhythmic information packages. The Journal Of Neuroscience, 40, 9650-9662. http://doi.org/https://doi.org/10.1523/JNEUROSCI.0689-20.2020 (Original work published 12/2020AD)
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2019
Lisitsyn, D., & Ernst, U. A. (2019). Causally investigating cortical dynamics and signal processing by targeting natural system attractors with precisely timed (electrical) stimulation. Frontiers In Computational Neuroscience, 13. http://doi.org/10.3389/fncom.2019.00007 (Original work published February 2019)
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Capparelli, F., Pawelzik, K. R., & Ernst, U. A. (2019). Constrained inference in sparse coding reproduces contextual effects and predicts laminar neural dynamics. Plos Computational Biology. http://doi.org/https://doi.org/10.1371/journal.pcbi.1007370 (Original work published 10/2019AD)
Schünemann, M., Keßeböhmer, M., & Ernst, U. A. (2019). Exact avalance distributions for inhomogenous networks of non-leaky integrate and fire neurons. Berlin.
Tömen, N., Herrmann, M., & Ernst, U. A. (2019). The functional role of critical dynamics in neural systems (N. Tomen, J.M. Herrmann, and U. Ernst). Springer.
Rotermund, D., Ernst, U. A., & Pawelzik, K. R. (2019). Open Hardware for neuro-prosthesis research: A study about a closed-loop multi-channel system for electrical surface stimulations and measurements. Hardwarex, 6 (2019) e00078. http://doi.org/https://doi.org/10.1016/j.ohx.2019.e00078
Tömen, N., & Ernst, U. A. (2019). The role of criticality in flexible visual information processing. Springer Series On Bio- And Neurosystems. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/tomen_bookchapter_2019.pdf
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Chen, X., Bohnenkamp, L., Wegener, D., & Ernst, U. A. (2019). A structurally simple model explains MT transients under variable stimulus and behavioral conditions. Leuven, Belgium. http://doi.org/10.1177/0301006619863862
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Chen, X., Bohnenkamp, L., Wegener, D., & Ernst, U. A. (2019). A structurally simple model explains MT transients under variable stimulus and behavioral conditions. Berlin. http://doi.org/10.12751/nncn.bc2019.0047
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Schiffer, A., Ernst, U. A., & Persike, M. (2019). Thinking around the corner: How to process sharp bends in contour integration. Leuven, Belgium. http://doi.org/10.1177/0301006619863862
Schünemann, M., Rausch, L. -P., Drebitz, E., Harnack, D., Ernst, U. A., & Kreiter, A. K. (2019). Unexpectedly strong attentional modulation of V1/V2 activity implements a robust, contrastinvariant control mechanism for selective information processing. Bernstein Conference. Berlin. http://doi.org/10.12751/nncn.bc2019.0060
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2018
Capparelli, F., Pawelzik, K. R., Rotermund, D., & Ernst, U. A. (2018). Generative model of visual cortex with short- and long-range recurrent interactions. Seattle.
Capparelli, F., Pawelzik, K. R., Rotermund, D., & Ernst, U. A. (2018). Generative model of visual cortex with short- and long-range recurrent interactions. Berlin.
Grothe, I., Rotermund, D., Neitzel, S. D., Mandon, S., Ernst, U. A., Kreiter, A. K., & Pawelzik, K. R. (2018). Attention selectively gates afferent signal transmission to area V4. The Journal Of Neuroscience, 38 (14), 3441-3452. http://doi.org/10.1523/JNEUROSCI.2221-17.2018 (Original work published April 4, 2018)
Schünemann, M., Tömen, N., & Ernst, U. A. (2018). Cortical information integration with critical subnetworks: Large capacity, high accuracy, and rapid detection. Seattle.
Schünemann, M., Tömen, N., & Ernst, U. A. (2018). Cortical information integration with critical subnetworks: Large capacity, high accuracy, and rapid detection. Berlin.
2017
Grzymisch, A., Grimsen, C., & Ernst, U. A. (2017). Contour integration in dynamic scenes: Impaired detection performance in extended presentations. Frontiers In Psychology, 8, Article 1501. http://doi.org/10.3389/fpsyg.2017.01501
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Schünemann, M., Tömen, N., & Ernst, U. A. (2017). Critical subnetworks for feature integration. Bernstein Conference 2017. Göttingen. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/BCCN_2017_Schuenemann et al.pdf
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Lisitsyn, D., Drebitz, E., Grothe, I., Kreiter, A. K., & Ernst, U. A. (2017). Dissecting gamma phase and amplitude-specific information routing in V4 of macaque during selective attention. BMC Neuroscience 2017. Antwerp. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/Lisitsyn_CNS2017.pdf
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Capparelli, F., Rotermund, D., Pawelzik, K. R., & Ernst, U. A. (2017). Generative models of visual cortex with short and long range horizontal interactions. Bernstein Conference 2017. Göttingen. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/BCCN_2017_Capparelli.pdf
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Schiffer, A., Grzymisch, A., Persike, M., & Ernst, U. A. (2017). Integration of orientation and spatial frequency in a model of visual cortex. Antwerp. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/SchifferGrzymisch_CNS2017.pdf
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Grzymisch, A., Schiffer, A., Persike, M., & Ernst, U. A. (2017). Integration of orientation and spatial frequency in a model of visual cortex. Göttingen. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/BCCN_2017_Schiffer.pdf
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Rotermund, D., Ernst, U. A., & Pawelzik, K. R. (2017). Open hardware for neuro-prosthesis research: A study about a closed-loop multi-channel system for electrical surface stimulations and measurements. Hardwarex. http://doi.org/https://doi.org/10.1101/141184
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Harnack, D., & Ernst, U. A. (2017). Performance-optimization guided distribution of attentional resources. BMC Neuroscience 2017. Antwerp. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/HarnackErnst_CNS2017.pdf
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Tömen, N., & Ernst, U. A. (2017). Selective feature integration with critical dynamics in cortical subnetworks. BMC Neuroscience 2017. Antwerp. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/Toemen_CNS2017.pdf
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2016
Capparelli, F., Rotermund, D., Ernst, U. A., & Pawelzik, K. R. (2016). Ongoing activity in a spiking network of visual cortical columns representing local optimal inference modules. In Bernstein Conference 2016. Berlin: BCCN Berlin. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/abstract_capparelli_BCCN2016.pdf
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Harnack, D., & Ernst, U. A. (2016). Self-organization and control of flexible information routing in cortical networks. Bernstein Conference 2016. Berlin: BCCN Berlin. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/abstract_harnack_BCCN2016.pdf
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Rothe, H., Stemmann, H., Schander, A., Lisitsyn, D., Kreiter, A. K., Lang, W., & Ernst, U. A. (2016). Analysis of neural signals for chronically implanted, novel multi-channel floating probes. Bernstein Conference 2016. Berlin: BCCN Berlin. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/abstract_rothe_BCCN2016.pdf
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Ernst, U. A., Schiffer, A., Persike, M., & Meinhardt, G. (2016). Contextual interactions in grating plaid configurations are explained by natural image statistics and neural modeling. Berlin: BCCN Berlin.
Ernst, U. A., Schiffer, A., Persike, M., & Meinhardt, G. (2016). Contextual interactions in grating plaid configurations are explained by natural image statistics and neural modeling. Front. Syst. Neurosci., 10:78. http://doi.org/10.3389/fnsys.2016.00078
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Lisitsyn, D., & Ernst, U. A. (2016). Model-based inferences into attention and bistability information routing control via precisely-timed perturbations. Bernstein Conference 2016. Berlin: BCCN Berlin. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/abstract_lisitsyn_BCCN2016.pdf
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Bohnenkamp, L., Wegener, D., & Ernst, U. A. (2016). Modelling transient dynamics and attentional modulation in MT cells in a structurally simple model. Bernstein Conference 2016. Berlin: BCCN Berlin. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/abstract_bohnenkamp_BCCN2016.pdf
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2015
Grothe, I., Rotermund, D., Neitzel, S. D., Mandon, S., Ernst, U. A., Kreiter, A. K., & Pawelzik, K. R. (2015). Attention selectively gates afferent signal transmission to area V4. The Journal Of Neuroscience. http://doi.org/10.1101/019547
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Grzymisch, A., Grimsen, C., & Ernst, U. A. (2015). Attentional effects in contour integration in dynamic scenes. St. Petersburg, FL, USA. http://doi.org/10.1167/15.12.326
Bohnenkamp, L., Wegener, D., & Ernst, U. A. (2015). Attentional spreading over feature attributes and feature dimensions: Distributed top-down modulation or joint neural coding?. Prague, Czech Republic.
Harnack, D., Ernst, U. A., & Pawelzik, K. R. (2015). A model for attentional information routing through coherence predicts biased competition and multistable perception. Journal Of Neurophysiology, 114, 1593-1605. http://doi.org/10.1152/jn.01038.2014
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Tömen, N., & Ernst, U. A. (2015). Optimal feature integration in critical, balanced network. Chicago, IL, USA.
Tömen, N., & Ernst, U. A. (2015). Optimal feature integration in critical, balanced networks. Göttingen.
Ernst, U. A., & Tömen, N. (2015). Optimal feature integration in critical, balanced networks. Salt Lake City, UT, USA.
Lisitsyn, D., Harnack, D., & Ernst, U. A. (2015). Probing communicationa through coherence via phase-dependent analysis. Chicago, IL, USA.
Lisitsyn, D., Harnack, D., & Ernst, U. A. (2015). Probing information routing mechanisms by precisely-timed electrical stimulation pulses: a modelling study. Prague, Czech Republic.
Harnack, D., Pawelzik, K. R., & Ernst, U. A. (2015). A simplified model for oscillatory population dynamics in visual cortex. Göttingen.
2014
Tömen, N., Rotermund, D., & Ernst, U. A. (2014). Marginally subcritical dynamics explain enhanced stimulus discriminability under attention. Front Syst Neurosci. 2014 Aug 25, 8, Article 151. http://doi.org/10.3389/fnsys.2014.00151
Tömen, N., Rotermund, D., & Ernst, U. A. (2014). Marginally subcritical dynamics explain enhanced stimulus discriminability under attention. Front Syst Neurosci. 2014 Aug 25. Göttingen. http://doi.org/10.12751/nncn.bc2014.0036
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Harnack, D., Pawelzik, K. R., & Ernst, U. A. (2014). Multistable network dynamics through lateral inhibition: an efficient mechanism for selective information routing. Quebec City, Canada.
Ernst, U. A., & Tömen, N. (2014). Optimal feature integration in critical, balanced networks. Malibu, CA, USA.
van Humbeeck, N., Schmitt, N., Hermens, F., Wagemans, J., & Ernst, U. A. (2014). The role of eye movements in a contour detection task. Journal Of Vision, 13 no. 14 article 5. http://doi.org/10.1167/13.14.5
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Ernst, U. A. (2014). Computational role of center-surround processing. In (Jaeger D and Jung R). New York, USA: Springer. http://doi.org/10.1007/978-1-4614-7320-6_569-1
Grzymisch, A., Grimsen, C., & Ernst, U. A. (2014). Contour integration in dynamic scenes and selective attention. Belgrad, Serbia: Pion. (Original work published 08/2014AD)
Grzymisch, A., Grimsen, C., & Ernst, U. A. (2014). Contour integration in dynamic scenes and selective attention. http://doi.org/10.12751/nncn.bc2014.0139
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Lisitsyn, D., Harnack, D., & Ernst, U. A. (2014). Guiding attention: phase-response curve analysis of a communication through coherence model. Bernstein Conference 2014, Frontiers. Göttingen. http://doi.org/10.12751/nncn.bc2014.003
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2013
Kretzberg, J., & Ernst, U. A. (2013). Neurosciences - From Molecule to Behavior: A University Textbook. In (pp. 363-407). Berlin Heidelberg: Springer-Verlag. http://doi.org/DOI 10.1007/978-3-642-10769-6_18
Grothe, I., Rotermund, D., Neitzel, S. D., Mandon, S., Ernst, U. A., Kreiter, A. K., & Pawelzik, K. R. (2013). Selective synchronization explains transfer characteristics of attention-dependent routing for broad-band flicker signals to monkey area V4. Bremen: Pion Ltd.
Rotermund, D., Ernst, U. A., Mandon, S., Taylor, K., Smiyukha, Y., Kreiter, A. K., & Pawelzik, K. R. (2013). Toward high performance, weakly invasive Brain Computer Interfaces using selective visual attention. The Journal Of Neuroscience, 33(14), 6001-6011. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/JournalOfNeuroscience.pdf (Original work published 2013)
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Tömen, N., Rotermund, D., & Ernst, U. A. (2013). Attention improves information processing. Göttingen. (Original work published 2013)
Tömen, N., & Ernst, U. A. (2013). Attention improves information processing by tuning cortical networks towards critical states. Salt Lake City. (Original work published 2013)
Tömen, N., Rotermund, D., & Ernst, U. A. (2013). Attention improves information processing by tuning cortical networks towards critical states. Göttingen.
Harnack, D., Ernst, U. A., & Pawelzik, K. R. (2013). A dynamic model for selective visual attention predicts information routing. Göttingen. (Original work published 2013)
Harnack, D., Ernst, U. A., & Pawelzik, K. R. (2013). A dynamic model for selective visual attention predicts information routing.
Arevalo, O., Bornschlegl, M., Eberhardt, S., Ernst, U. A., Pawelzik, K. R., & Fahle, M. (2013). Dynamics of Dual Prism Adaptation: Relating Novel Experimental Results to a Minimalistic Neural Model. Plos One, 8, e76601. http://doi.org/10.1371/journal.pone.0076601
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Tömen, N., Rotermund, D., & Ernst, U. A. (2013). Improved information processing under attention is explained by phase transitions in cortical dynamics. Amsterdam.
Harnack, D., Pawelzik, K. R., & Ernst, U. A. (2013). A model for selective visual attention predicts information gating and biased competition. Tübingen. http://doi.org/10.12751/nncn.bc2013.0062
Harnack, D., Ernst, U. A., & Pawelzik, K. R. (2013). A model for selective visual attention predicts information routing. http://doi.org/10.1186/1471-2202-14-S1-P310
Harnack, D., Pawelzik, K. R., & Ernst, U. A. (2013). A model of selective visual attention predicts biased competition and information routing. Bremen.
Grothe, I., Rotermund, D., Neitzel, S. D., Mandon, S., Ernst, U. A., Kreiter, A. K., & Pawelzik, K. R. (2013). The neuronal input channel switched by attention reflects routing by coherence. Salt Lake City. (Original work published 2013)
2012
Grothe, I., Neitzel, S. D., Rotermund, D., Mandon, S., Linke, M., Ernst, U. A., et al. (2012). Interareal gamma-band synchronization in primate ventral visual pathway underlies signal routing during selective attention. New Orleans: Society for Neuroscience. (Original work published 2013)
Harnack, D., Ernst, U. A., & Pawelzik, K. R. (2012). A model for selective visual attention predicts information routing through coherence. New Orleans. (Original work published 2013)
Ernst, U. A., Mandon, S., Schinkel-Bielefeld, N., Neitzel, S. D., Kreiter, A. K., & Pawelzik, K. R. (2012). Optimality of human contour integration. Plos Computational Biology, 8 (5), e1002520.
Lochmann, T., Ernst, U. A., & Deneve, S. (2012). Perceptual inference predicts contextual modulations of sensory responses. J. Neurosci., 32(12), 4179-4195. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/lochmann_jneurosci_2012.pdf
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2011
Rotermund, D., Grothe, I., Ernst, U. A., Pawelzik, K. R., Neitzel, S. D., Mandon, S., & Kreiter, A. K. (2011). Gating of visual processing by selective attention as observed in LFP data of monkey area V4. Washington. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/2011_rotermund_sfn.pdf
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Rotermund, D., Ernst, U. A., Pawelzik, K. R., Neitzel, S. D., Mandon, S., & Kreiter, A. K. (2011). Gating Of Visual Processing By Selective Attention As Observed In LFP Data Of Monkey Area V4. Göttingen. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/2011_rotermund_goe.pdf
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Rotermund, D., Schipper, M., Fahle, M., & Ernst, U. A. (2011). High-performance classification of contour percepts from EEG recordings. 20th Annual Computational Neuroscience Meeting CNS. Stockholm: BMC Neuroscience. http://doi.org/10.1186/1471-2202-12-S1-P94
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Schipper, M., Fahle, M., Stecher, H., & Ernst, U. A. (2011). Human contour integration is independently biased by global stimulus shape and behavioural task: Evidence from Psychophysics and Electrophysiology. 34th European Conference on Visual Perception ECVP. Toulouse. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/2011_schipper_ecvp.pdf
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Rotermund, D., Linke, M., Ernst, U. A., Grothe, I., Neitzel, S. D., Mandon, S., et al. (2011). Routing of information flow by selective visual attention in LFPs of monkey area V4. Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting. Freiburg: Front. Comput. Neurosci. Conference Abstract: BC11:. http://doi.org/10.3389/conf.fncom.2011.53.00055
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Ernst, U. A., & Pawelzik, K. R. (2011). Sensible Balance. Science, 334, 1507-1508. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/2011_ernst_science.pdf
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Heyken, P., Traschütz, A., Harnack, D., Habekost, B., Kreiter, A. K., Pawelzik, K. R., et al. (2011). Transient activation of MT neurons to stimulus velocity changes: experiments and modelling. Freiburg: Front. Comput. Neurosci. http://doi.org/doi: 10.3389/conf.fncom.2011.53.00054
2010
Schipper, M., Ernst, U. A., Pawelzik, K. R., & Fahle, M. (2010). A Horizontal Bias in Contour Integration: Evidence from Psychophysics and Electrophysiology. Perception, ECVP Conference. Lausanne. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/2010_schipper_ecvp.pdf
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Schipper, M., Teiwes, V., Fahle, M., & Ernst, U. A. (2010). Local contour integration depends on alignment and orientation of global shapes. Front. Comput. Neurosci.. Berlin: Bernstein Conference on Computational Neuroscience. http://doi.org/10.3389/conf.fncom.2010.51.00108
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Arevalo, O., Bornschlegl, M., Ernst, U. A., Pawelzik, K. R., & Fahle, M. (2010). Predicting the dynamics of dual prism adaptation with a biophysically plausible neural model. Bernstein Conference on Computational Neuroscience. Berlin: Front. Comput. Neurosci. http://doi.org/10.3389/conf.fncom.2010.51.00036
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Ernst, U. A., Rotermund, D., Taylor, K., Smiyukha, Y., Neitzel, S. D., Kreiter, A. K., & Pawelzik, K. R. (2010). Discriminability of direction of attention with and without stimuli based on V4 epidural recordings: A perspective for high-performance brain-computer interfaces. SfN International Neuroscience Meeting 2010. San Diego: Neuroscience Meeting Planner 2010. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/2010_ernst_sfn.pdf
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Neitzel, S. D., Rotermund, D., Mandon, S., Ernst, U. A., Kreiter, A. K., & Pawelzik, K. R. (2010). Highly selective processing of temporal information from attended stimuli in macaque\textquoterights visual area V4. Berlin: Front. Comput. Neurosci. http://doi.org/doi: 10.3389/conf.fncom.2010.51.00103
2009
Rotermund, D., Neitzel, S. D., Taylor, K., Ernst, U. A., Mandon, S., Pawelzik, K. R., & Kreiter, A. K. (2009). Phase differences in local field potentials from macaque monkey area V4 predict attentional state in single trials with 99.6\% accuracy.
Rotermund, D., Neitzel, S. D., Ernst, U. A., Mandon, S., Taylor, K., Pawelzik, K. R., & Kreiter, A. K. (2009). Phase differences in local field potentials from macaque monkey area V4 predict attentional state in single trials with 99.6\% accuracy. Berlin: BMC Neuroscience 2009. http://doi.org/10.1186/1471-2202-10S1-P230
Rotermund, D., Ernst, U. A., Taylor, K., Pawelzik, K. R., & Kreiter, A. K. (2009). Attention Improves Object Representation in Visual Cortical Field Potentials. Journal Of Neuroscience, 29 (32), 10120\textendash10130. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/2009_rotermund_jneurosci.pdf
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Schinkel-Bielefeld, N., Ernst, U. A., Pawelzik, K. R., Neitzel, S. D., Mandon, S., Kreiter, A. K., & Rosenholtz, R. (2009). Can reduced contour detection performance in the periphery be explained by larger integration fields. 18th Annual Computational Neuroscience Meeting (CNS 2009). Berlin: BMC Neuroscience. http://doi.org/10.1186/1471-2202-10-S1-P360
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Johnson, D. H., Jung, R., & Ernst, U. A. (2009). Computational Neuroscience. 18th Annual Computational Neuroscience Meeting (CNS 2009). http://doi.org/10.1186/1471-2202-10-S1-I1
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Ernst, U. A., & Rotermund, D. (2009). Enhancing information processing by synchronization. Frankfurt/Main: Front. Comput. Neurosci. http://doi.org/10.3389/conf.neuro.10.2009.14.043
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Rotermund, D., & Ernst, U. A. (2009). Enhancing information processing by synchronization. Berlin: BMC Neuroscience. http://doi.org/10.1186/1471-2202-10-S1-P268
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Ernst, U. A., & Rotermund, D. (2009). Enhancing information processing by synchronization. Chicago. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/2009_ernst_sfn.pdf
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Rotermund, D., Neitzel, S. D., Ernst, U. A., Mandon, S., Taylor, K., Smiyukha, Y., & Pawelzik, K. R. (2009). Field potentials from macaque area V4 predict attention in single trials with ~100\%. Frankfurt/Main: Frontiers in Computational Neuroscience. http://doi.org/10.3389/conf.neuro.10.2009.14.068
Schipper, M., Ernst, U. A., & Fahle, M. (2009). How do prior expectations shape contour integration?. 8th Göttingen Meeting of the German Neuroscience Society / 32nd Göttingen Neurobiology Conference 2009. Göttingen. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/2009_schipper_goe.pdf
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Schipper, M., Ernst, U. A., Pawelzik, K. R., & Fahle, M. (2009). Influence of prior expectations on contour integration: Psychophysics and modelling. 18th Annual Computational Neuroscience Meeting (CNS 2009). Berlin: BMC Neuroscience 2009. http://doi.org/10.1186/1471-2202-10-S1-P12
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Schipper, M., Ernst, U. A., Pawelzik, K. R., & Fahle, M. (2009). Interactions between top-down and stimulus-driven processes in visual feature integration. Bernstein Conference on Computational Neuroscience (BCCN2009). Frankfurt/Main: Frontiers in Computational Neuroscience. http://doi.org/10.3389/conf.neuro.10.2009.14.158
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Bornschlegl, M., Acosta, O. A., Ernst, U. A., Pawelzik, K. R., & Fahle, M. (2009). Learning of Visuomotor Adaptation: Insights from Experiments and Simulations. Bernstein Conference on Computational Neuroscience (BCCN2009). Frankfurt/Main: Frontiers in Computational Neuroscience. http://doi.org/10.3389/conf.neuro.10.2009.14.001
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Rotermund, D., Neitzel, S. D., Taylor, K., Ernst, U. A., Mandon, S., Pawelzik, K. R., & Kreiter, A. K. (2009). Phase differences in local field potentials from macaque monkey area V4 predict attentional state in single trials with 99.6\% accuracy. In .
Rotermund, D., Neitzel, S. D., Taylor, K., Ernst, U. A., Mandon, S., Pawelzik, K. R., & Kreiter, A. K. (2009). Phase differences in local field potentials from macaque monkey area V4, predict attentional state in single trials with 99.6\% accuracy.
2008
Deneve, S., Lochmann, T., & Ernst, U. A. (2008). Dynamic, context-dependant spike responses of visual neurons reflects inference and learning in natural movies. Salt Lake City.
Schinkel-Bielefeld, N., Ernst, U. A., Pawelzik, K. R., Neitzel, S. D., Mandon, S., Kreiter, A. K., & Rosenholtz, R. (2008). Human contour integration is optimized for natural images. SfN International Neuroscience Meeting 2008. Washington. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/2008_schinkel_sfn.pdf
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Schipper, M., Ernst, U. A., & Fahle, M. (2008). Investigating the interactions between top-down and bottom-up visual processing: The influence of prior expectations on contour integration. Bernstein Symposium 2008. München: Frontiers in Computational Neuroscience. http://doi.org/10.3389/conf.neuro.10.2008.01.108
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Pawelzik, K. R., Taylor, K., Rotermund, D., Neitzel, S. D., Mandon, S., Ernst, U. A., & Kreiter, A. K. (2008). Phase differences in local field potentials from macaque monkey area V4 predict attentional state in single trials with 99.6\% accuracy. Washington.
Patzelt, F., Riegel, M., Ernst, U. A., & Pawelzik, K. R. (2008). Self-organized critical control in human behavior. Proc. DPG spring meeting Berlin 2008 DY 5.3. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/2008_patzelt_dpg_abstract.pdf
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Acosta, O. A., Hochstein, L., Bornschlegl, M., Ernst, U. A., Pawelzik, K. R., & Fahle, M. (2008). Spatial Transfer in Prism Adaptation. Bernstein Symposium 2008. München: Frontiers in Computational Neuroscience. http://doi.org/10.3389/conf.neuro.10.2008.01.026
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2007
Patzelt, F., Riegel, M., Ernst, U. A., & Pawelzik, K. R. (2007). Self-organised critical noise amplification in human closed loop control.
Patzelt, F., Riegel, M., Ernst, U. A., & Pawelzik, K. R. (2007). Self-Organised Critical Noise Amplification in Human Closed Loop Control. Noise In Life 2007: Stochastic Dynamics In The Neurosciences - International Workshop, Mpipks Dresden, 1, 4. http://doi.org/10.3389/neuro.10.004.2007
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Schinkel-Bielefeld, N., Ernst, U. A., Mandon, S., Neitzel, S. D., Kreiter, A. K., & Pawelzik, K. R. (2007). Structure of the neuronal interactions underlying human contour integration. Sixteenth Annual Computational Neuroscience Meeting: CNS*2007. Toronto, Canada: BMC Neuroscience 2007P77. http://doi.org/10.1186/1471-2202-8-S2-P77
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Patzelt, F., Schaumloeffel, M., Riegel, M., Ernst, U. A., Pawelzik, K. R., & Fahle, M. (2007). Temporal factors in figure-ground segregation, object representation, and closed loop eye-hand coordination.
Rotermund, D., Taylor, K., Ernst, U. A., Kreiter, A. K., & Pawelzik, K. R. (2007). Attention improves object representation in monkey area V4. Goettingen Neurobiology Conference. Göttingen. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/2007_rotermund_goe.pdf
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Rotermund, D., Ernst, U. A., Taylor, K., Pawelzik, K. R., & Kreiter, A. K. (2007). Attention in monkey area V4 is modulated by task demand. SfN International Neuroscience Meeting 2007. San Diego. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/2007_rotermund_sfn.pdf
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Levina, A., Ernst, U. A., & Herrmann, M. (2007). Criticality of Avalanche Dynamics in Adaptive Recurrent Networks. Neurocomputing, 70, 1877-1881. http://doi.org/doi:10.1016/j.neucom.2006.10.056
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Ernst, U. A., Deneve, S., & Meinhardt, G. (2007). Detection of gabor patch arrangements is explained by natural image statistics. Sixteenth Annual Computational Neuroscience Meeting: CNS*2007. Toronto, Canada: BMC Neuroscience. http://doi.org/10.1186/1471-2202-8-S2-P154
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Ernst, U. A., Rotermund, D., & Pawelzik, K. R. (2007). Efficient computation based on stochastic spikes. Neural Computation, 19 (5), 243-257. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/2007_ernst_neurcomp.pdf
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Ernst, U. A., & Deneve, S. (2007). Extra-classical receptive field properties from natural image statistics. SfN International Neuroscience Meeting 2007. San Diego. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/2007_ernst_sfn.pdf
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Deneve, S., & Ernst, U. A. (2007). Finding the underlying causes of the visual input with spiking neurons and shunting inhibition. SfN International Neuroscience Meeting 2007. San Diego. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/2007_deneve_sfn.pdf
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Hermens, F., & Ernst, U. A. (2007). Modeling spatial and temporal aspects of visual backward masking. Advances In Cognitive Psychology, 3 (1-2), 93-105. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/2007_hermens_advcogpsy.pdf
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2006
Rotermund, D., Taylor, K., Ernst, U. A., Pawelzik, K. R., & Kreiter, A. K. (2006). Attention improves object discriminability in monkey area V4. CNS - Computational Neuroscience Conference. Edinburgh. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/2006_rotermund_cns.pdf
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Pawelzik, K. R., Rotermund, D., Taylor, K., Ernst, U. A., & Kreiter, A. K. (2006). Attention improves object encoding in monkey area V4. In (p. 9915010554).
Ernst, U. A., Schinkel-Bielefeld, N., Pawelzik, K. R., Mandon, S., Neitzel, S. D., & Kreiter, A. K. (2006). Contour detection from quasi-ideal contour integration. CNS - Computational Neuroscience Conference. Edinburgh. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/2006_schinkel_cns.pdf
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Ernst, U. A., Neitzel, S. D., Schinkel-Bielefeld, N., Mandon, S., Kreiter, A. K., & Pawelzik, K. R. (2006). Modeling systematic errors of human contour detection reveals new mechanisms of contour integration. Atlanta.
Ernst, U. A., Neitzel, S. D., Schinkel-Bielefeld, N., Mandon, S., Kreiter, A. K., & Pawelzik, K. R. (2006). Modeling systematic errors of human contour detection reveals new mechanisms of contour integration. In .
Pawelzik, K. R., Ernst, U. A., & Rotermund, D. (2006). On-line adaptation of neuro-prostheses with neuronal evaluation signals. In Proceedings ESANN’06 (p. 53\textendash62). Bruges/Belgium: d-side, Evere, Belgium. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/2006_pawelzik_esann.pdf
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Schinkel-Bielefeld, N., Ernst, U. A., & Pawelzik, K. R. (2006). Optimal contour integration: When additive algorithms fail. Neurocomputing, 69 (16-18), 1297-1300. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/2005_schinkel_neucom.pdf
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Pawelzik, K. R., Ernst, U. A., & Rotermund, D. (2006). Towards on-line adaptation of neuro-prostheses with neuronal evaluation signals. Atlanta.
Rotermund, D., Ernst, U. A., & Pawelzik, K. R. (2006). Towards on-line adaptation of neuro-prosthesis with neuronal evaluation signals. Biological Cybernetics, 95 (3), 243\textendash257. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/2006_rotermund_biolcyb.pdf
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2005
Schinkel-Bielefeld, N., Pawelzik, K. R., & Ernst, U. A. (2005). Robust integration and detection of noisy contours in a probabilistic neural model. In Neurocomputing (Vol. 65-66, p. 211\textendash217). Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/2004_schinkel_neucom.pdf
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Schinkel-Bielefeld, N., Ernst, U. A., Pawelzik, K. R., Mandon, S., Neitzel, S. D., & Kreiter, A. K. (2005). Systematic errors of contour detection are predicted by computational mechanisms for contour integration: Theory and Experiments. Washington.
Rotermund, D., Taylor, K., Ernst, U. A., Pawelzik, K. R., & Kreiter, A. K. (2005). Attention improves object encoding in monkey area V4.
Mandon, S., Ernst, U. A., Neitzel, S. D., Schinkel-Bielefeld, N., Pawelzik, K. R., & Kreiter, A. K. (2005). Neuronal mechanisms of contour integration investigated by combining psychophysical experiments with probabilistic modeling. Proceedings of the 30th Götingen Neurobiology Conference. Göttingen: Georg Thieme Verlag, Stuttgart. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/2005_mandon_goe.pdf
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Rotermund, D., Ernst, U. A., & Pawelzik, K. R. (2005). Processing natural images with single spikes. Proceedings of the 30th Göttingen Neurobiology Conference. Göttingen: Georg Thieme Verlag, Stuttgart. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/2005_rotermund_goe.pdf
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2004
Ernst, U. A., Rotermund, D., & Pawelzik, K. R. (2004). An algorithm for fast pattern recognition with random spikes. In 26th DAGM Symposium (Rasmussen et al., Vol. Pattern Recognition (Lecture Notes in Computer Science 3175), p. 399\textendash406). Springer-Verlag Berlin/Heidelberg. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/2004_ernst_lncs.pdf
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Pawelzik, K. R., Ernst, U. A., & Rotermund, D. (2004). Computing spike-by-spike. In (U.J. Ilg, H.H. Bülthoff and H.A. Mallot, p. 145\textendash150). IOS Press.
Ernst, U. A., Mandon, S., Pawelzik, K. R., & Kreiter, A. K. (2004). How ideally do macaque monkeys integrate contours?. In Neurocomputing (Vol. 58-60, p. 971\textendash977). Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/2003_ernst_neucom.pdf
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Ernst, U. A., Schinkel-Bielefeld, N., & Pawelzik, K. R. (2004). Large tuning width can improve contour detection performance in a neural model for robust contour integration. Lisbon, Portugal.
Ernst, U. A., Mandon, S., Schinkel-Bielefeld, N., Pawelzik, K. R., & Kreiter, A. K. (2004). Mechanisms and principles of contour integration revealed by combining psychophysical experiments with probabilistic modeling. In Dynamic Perception Workshop (U.J. Ilg, H.H. Bülthoff and H.A. Mallot, p. 211\textendash216). IOS Press. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/2004_ernst_dynperc.pdf
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Pawelzik, K. R., Ernst, U. A., Mandon, S., Schinkel-Bielefeld, N., & Kreiter, A. K. (2004). Mechanisms and principles of contour integration revealed by combining psychophysical experiments with probabilistic modelling. San Diego.
Pawelzik, K. R., Rotermund, D., & Ernst, U. A. (2004). A novel framework for universal adaptive computation in a cortex model with stochastic spikes. Lisbon, Portugal.
2003
Pawelzik, K. R., Rotermund, D., & Ernst, U. A. (2003). Building representations spike by spike. Snowbird/Utah. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/2003_pawelzik_snowbird.pdf
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Pawelzik, K. R., Rotermund, D., & Ernst, U. A. (2003). Building representations spike by spike. Göttingen: Georg Thieme Verlag, Stuttgart. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/2003_pawelzik_goe.pdf
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Ernst, U. A., Etzold, A., Herzog, M. H., & Eurich, C. W. (2003). Dynamics of neuronal populations modeled by Wilson-Cowan system account for the transient visibility of masked stimuli. In Neurocomputing (Vol. 52\textendash54, p. 747\textendash753). Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/2002_ernst_neucom.pdf
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Herzog, M. H., Harms, M., Ernst, U. A., Eurich, C. W., Mahmud, S. H., & Fahle, M. (2003). Extending the shine-through effect to classical masking paradigms. Vision Research, 43, 2659\textendash2667. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/2003_herzog_visres.pdf
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Herzog, M. H., Ernst, U. A., & Eurich, C. W. (2003). Getting the picture. Scientific American Mind, 12\textendash13. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/2003_herzog_sciam.pdf
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Herzog, M. H., Ernst, U. A., Etzold, A., & Eurich, C. W. (2003). Local interactions in neural networks explain global effects in the masking of visual stimuli. Neural Computation, 15, 2091\textendash2113. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/2003_herzog_neurcomp.pdf
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Ernst, U. A., Mandon, S., Schinkel-Bielefeld, N., Kreiter, A. K., & Pawelzik, K. R. (2003). Rapid contour integration of macaque monkeys and spiking neural networks. SfN International Neuroscience Meeting 2003. New Orleans. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/2003_ernst_sfn.pdf
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2002
Pawelzik, K. R., Ernst, U. A., Trenner, D., & Rotermund, D. (2002). Building representations spike by spike. Orlando, Florida. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/2002_pawelzik_sfn.pdf
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Etzold, A., Ernst, U. A., Herzog, M. H., & Eurich, C. W. (2002). Bunsen-Roscoe-Bloch\ s law holds for visibility of stimuli in neural populations whose activity obeys a Wilson-Cowan dynamics.
Ernst, U. A., & Eurich, C. W. (2002). Cortical population dynamics and psychophysics. In The Handbook of Brain Theory and Neural Networks, 2nd edition (M.A. Arbib, p. 294\textendash300). MIT Press, Cambridge MA. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/2002_ernst_book.pdf
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Eurich, C. W., Herrmann, M., & Ernst, U. A. (2002). Finite-size effects of avalanche dynamics. Phys. Rev. E, 66, 066137. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/2002_eurich_pre.pdf
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Ernst, U. A., Etzold, A., Herzog, M. H., & Eurich, C. W. (2002). Object representation through transient neural dynamics. In Dynamic Perception (Workshop of GI section 1.0.4.) (R.P. Würtz and M. Lappe, p. 71\textendash76). Bochum: IOS press. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/2002_ernst_dynperc.pdf
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Herzog, M. H., Ernst, U. A., & Eurich, C. W. (2002). Objekterkennung: Ein Kamel Ist keine Palme. Gehirn Und Geist, 1, 11\textendash13. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/2002_herzog_gehirngeist.pdf
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Haynes, J. D., Ernst, U. A., Heinze, H. -J., & Pawelzik, K. R. (2002). Spectral and nonspectral analysis of brain state coherency. FENS 2002. Paris. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/2002_haynes_fens.pdf
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Henkel, R., Ernst, U. A., & Pawelzik, K. R. (2002). Synchronizing assemblies perform magnitude-invariant pattern detection. In Neurocomputing (Vol. 44-46, p. 429\textendash433). Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/2001_henkel_neucom.pdf
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Ernst, U. A., Etzold, A., Herzog, M. H., & Eurich, C. W. (2002). Transient activation of neural populations in a cortical model accounts for the transient visibility of masked stimuli. Society for Neuroscience Meeting 2002. Orlando, Florida. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/2002_ernst_sfn.pdf
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Ernst, U. A., Etzold, A., Eurich, C. W., & Herzog, M. H. (2002). Transiente Merkmalsbindung und raumzeitliche Aktivitätsdynamik in einem Modell des visuellen Kortex. Frühjahrstagung: Verhandlungen der Deutschen Physikalischen Gesellschaft (DPG). Regensburg. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/2002_ernst_dpg.pdf
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2001
Eurich, C. W., & Ernst, U. A. (2001). Analytical approach to avalanches of spike activity in neural networks.
Ernst, U. A., & Pawelzik, K. R. (2001). Asymmetric surround suppression coincides with structures of orientation preference map. Proceedings of the 28th Göttingen Neurobiology Conference 2001. Georg Thieme Verlag, Stuttgart. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/2001_ernst_goe.pdf
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Ernst, U. A., Pawelzik, K. R., & Tsodyks, M. (2001). Emergence of feature selectivity from lateral interactions in the visual cortex. In Handbook of Biological Physics (F. Moss and S. Gielen, Vol. 4, p. 969\textendash1000). Elsevier, Amsterdam. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/2001_ernst_book.pdf
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Ernst, U. A., Pawelzik, K. R., Sahar-Pikielny, C., & Tsodyks, M. (2001). Intracortical origin of visual maps. Nature Neuroscience, 4, 431\textendash436. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/2001_ernst_natneusci.pdf
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Etzold, A., Eurich, C. W., Herzog, M. H., & Ernst, U. A. (2001). Shine-through \textendash dynamical effects. (K. R. Pawelzik & Kreiter, A. K., Eds.). VolkswagenStiftung.
2000
Eurich, C. W., Pawelzik, K. R., Ernst, U. A., Thiel, A., Cowan, J. D., & Milton, J. G. (2000). Delay adaptation in the nervous system. In Neurocomputing (Vol. 32-33, p. 741\textendash748). Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/1999_eurich_neucom.pdf
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Ernst, U. A., Pawelzik, K. R., Tsodyks, M., & Sahar-Pikielny, C. (2000). Lateral intracortical interactions and random inhomogeneities: A key to the spontaneous emergence of cortical maps in V1 without visual experience. FENS 2000. Brighton, UK. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/2000_ernst_fens.pdf
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Ernst, U. A., Pawelzik, K. R., Tsodyks, M., & Sahar-Pikielny, C. (2000). Spontaneous emergence of orientation preference and direction selectivity through lateral intracortical interactions. In CNS 2000 (p. 215). Bruges/Belgium. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/2000_ernst_cns.pdf
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Eurich, C. W., Herrmann, M., & Ernst, U. A. (2000). Avalanches of activity in neural networks: finite size effects. In M. Samuelides (Ed.) (p. 26\textendash27). Bielefeld.
1999
Eurich, C. W., & Ernst, U. A. (1999). Avalanches of activity in a network of integrate-and-fire neurons with stochastic input. In ICANN 1999 (p. 545\textendash550). University of Edinburgh. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/1999_eurich_icann.pdf
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Eurich, C. W., Pawelzik, K. R., Ernst, U. A., Cowan, J. D., & Milton, J. G. (1999). Dynamics of self-organized delay adaptation. Physical Review Letters, 82 (7), 1594\textendash1597. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/1999_eurich_prl.pdf
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Tsodyks, M., Ernst, U. A., Pawelzik, K. R., & Sahar-Pikielny, C. (1999). Intracortical origin of visual cortical maps. Miami, Florida.
Ernst, U. A., Pawelzik, K. R., Tsodyks, M., & Sejnowski, T. (1999). Relation between retinotopic and orientation maps in visual cortex. Neural Computation, 11, 375\textendash379. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/1999_ernst_neurcomp.pdf
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Ernst, U. A., Pawelzik, K. R., Tsodyks, M., Sejnowski, T., & Geisel, T. (1999). Relationships between cortical maps and receptive fields are determined by lateral cortical feedback. Proceedings of the 27th Göttingen Neurobiology Conference 1999. Göttingen: Georg Thieme Verlag, Stuttgart/New York. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/1999_ernst_goe.pdf
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Ernst, U. A., Pawelzik, K. R., Wolf, F., & Geisel, T. (1999). Theory of non-classical receptive field phenomena in the visual cortex. In Neurocomputing (Vol. 26\textendash27, p. 367\textendash374). Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/1998_ernst_neucom.pdf
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1998
Ernst, U. A., Pawelzik, K. R., & Geisel, T. (1998). Analysing the context dependence of receptive fields in visual cortex. In ICANN 1998 Perspectives in Neural Computing (L. Niklasson and M. Bod\ en and T. Ziemke, p. 343\textendash348). Springer, London. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/1998_ernst_icann.pdf
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Eurich, C. W., Ernst, U. A., & Pawelzik, K. R. (1998). Continuous dynamics of neuronal delay adaptation. In ICANN 1998 Perspectives in Neural Computing (L. Niklasson and M. Bod\ en and T. Ziemke, p. 355\textendash360). Springer, London. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/1998_eurich_icann.pdf
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Ernst, U. A., Pawelzik, K. R., & Geisel, T. (1998). Delay-induced multistable synchronization of biological oscillators. Physical Review E, 57, 2150\textendash2162. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/1998_ernst_pre.pdf
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Lin, J., Pawelzik, K. R., Ernst, U. A., & Sejnowski, T. (1998). Irregular synchronous activity in stochastically-coupled networks of integrate-and-fire neurons. Network, 9, 333-344. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/1998_lin_network.pdf
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Ernst, U. A., Pawelzik, K. R., Wolf, F., & Geisel, T. (1998). Orientation contrast enhancement modulated by differential long-range interaction in visual cortex. In CNS 1997 (p. 361\textendash366). Plenum Press New York and London. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/1997_ernst_cns.pdf
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Pawelzik, K. R., Ernst, U. A., Wolf, F., & Geisel, T. (1998). Orientation preference geometry modulates nonclassical receptive field properties. Proceedings of the 26th Göttingen Neurobiology Conference 1998. Göttingen: Georg Thieme Verlag, Stuttgart/New York. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/1998_pawelzik_goe.pdf
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1997
Ernst, U. A., Kreiter, A. K., & Pawelzik, K. R. (1997). Identifying oscillatory and stochastic neuronal behavior with high temporal precision in macaque monkey visual cortex. In T. Geisel (Ed.), CNS 1996 Proceedings of the Conference on Computational Neuroscience (p. 293\textendash298). Kluwer Academic Publishers,f Boston, Dordrecht, London. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/1996_ernst_cns.pdf
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Pawelzik, K. R., Ernst, U. A., Wolf, F., & Geisel, T. (1997). Orientation contrast sensitivity from long-range interactions in visual cortex. Göttingen: Georg Thieme Verlag Stuttgart/New York.
Ernst, U. A., Pawelzik, K. R., Wolf, F., & Geisel, T. (1997). Geometry of orientation preference map determines nonclassical receptive field properties. In ICANN 1997 Artificial Neural Networks (W. Gerstner and A. Germond and M. Hasler and J.-D. Nicoud, p. 231\textendash236). Springer, Berlin/Heidelberg. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/1997_ernst_icann.pdf
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1996
Ernst, U. A., Pawelzik, K. R., & Geisel, T. (1996). Komplexe räumliche Dynamik und Phasenclustering in strukturierten pulsgekoppelten neuronalen Netzen. Regensburg.
Pawelzik, K. R., Ernst, U. A., Wolf, F., & Geisel, T. (1996). Orientation contrast sensitivity from long-range interactions in visual cortex. Proceedings Of The 25Th Göttingen Neurobiology Conference, 90\textendash96. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/1997_pawelzik_goe.pdf
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1995
Ernst, U. A., Pawelzik, K. R., & Geisel, T. (1995). Multistable feature binding with noisy integrate-and-fire neurons. In ICANN 1995 Proceedings of the International Conference on Articifical Neural Networks (Vol. 1, p. 549\textendash554). EC2 \& Cie, Paris. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/1995_ernst_icann.pdf
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Pawelzik, K. R., Ernst, U. A., & Geisel, T. (1995). Multistable phase-clustering in networks of spiking neurons. In (p. 293\textendash298). Kluwer Academic Publishers.
Ernst, U. A., Pawelzik, K. R., & Geisel, T. (1995). Phasendichtedynamik pulsgekoppelter Oszillatoren mit Delay. Berlin.
Ernst, U. A., Pawelzik, K. R., & Geisel, T. (1995). Synchronization induced by temporal delays in pulse-coupled oscillators. Physical Review Letters, 74 (9), 1570\textendash1573. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/1995_ernst_prl.pdf
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Ernst, U. A., Pawelzik, K. R., & Geisel, T. (1995). Using the neuronal time structure for information processing: multistability in pulse coupled neurons with delay. Proceedings of the 23rd Göttingen Neurobiology Conference 1995. Göttingen: Georg Thieme Verlag Stuttgart/New York. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/1995_ernst_goe.pdf
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1994
Ernst, U. A., Pawelzik, K. R., & Geisel, T. (1994). Multiple phase clustering of globally pulse coupled neurons with delay. In ICANN 1994 Proceedings of the International Conference on Articifical Neural Networks (p. 1063\textendash1066). Springer Verlag Berlin. Retrieved from https://www.neuro.uni-bremen.de/drupal/sites/default/files/1994_ernst_icann.pdf
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Ernst, U. A., Pawelzik, K. R., & Geisel, T. (1994). Synchronisation, Desynchronisation und Gruppenbildung pulsgekoppelter Oszillatoren mit verzögerter Wechselwirkung.

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