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Causally investigating cortical dynamics and signal processing by targeting natural system attractors with precisely timed (electrical) stimulation. frontiers in Computational Neuroscience 13, (2019).
fncom-13-00007.pdf (4.65 MB)

Constrained inference in sparse coding reproduces contextual effects and predicts laminar neural dynamics. PLOS Computational Biology (2019). doi:https://doi.org/10.1371/journal.pcbi.1007370
Exact avalance distributions for inhomogenous networks of non-leaky integrate and fire neurons. Bernstein Conference (2019).
The functional role of critical dynamics in neural systems. Springer Series on Bio- and Neurosystems (Springer, 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, (2019).
HardwareX.pdf (135.71 KB)

Thinking around the corner: How to process sharp bends in contour integration. European Conference on Visual Perception (ECVP) (2019). doi:10.1177/0301006619863862
Unexpectedly strong attentional modulation of V1/V2 activity implements a robust, contrastinvariant control mechanism for selective information processing. Bernstein Conference (2019). doi:10.12751/nncn.bc2019.0060
bccn_Schuenemann_2019.pdf (251.85 KB)

Attention selectively gates afferent signal transmission to area V4. The Journal of Neuroscience 38 (14), 3441-3452 (2018).
JournalofNeurosci_2018.pdf (1.89 MB)

Cortical information integration with critical subnetworks: Large capacity, high accuracy, and rapid detection. BMC Neuroscience 2018 (2018).
Cortical information integration with critical subnetworks: Large capacity, high accuracy, and rapid detection. Bernstein Conference 2018 (2018).
Contour integration in dynamic scenes: Impaired detection performance in extended presentations. frontiers in Psychology 8, Article 1501, (2017).
grzymisch_frontierspsych_2017-1.pdf (1.28 MB)

Critical subnetworks for feature integration. Bernstein Conference 2017 (2017).
BCCN_2017_Schuenemann et al.pdf (29.68 KB)

Dissecting gamma phase and amplitude-specific information routing in V4 of macaque during selective attention. BMC Neuroscience 2017 (2017).
Lisitsyn_CNS2017.pdf (131.45 KB)

Generative models of visual cortex with short and long range horizontal interactions. Bernstein Conference 2017 (2017).
BCCN_2017_Capparelli.pdf (48.4 KB)

Integration of orientation and spatial frequency in a model of visual cortex. BMC Neuroscience 2017 (2017).
SchifferGrzymisch_CNS2017.pdf (71.54 KB)

Open hardware for neuro-prosthesis research: A study about a closed-loop multi-channel system for electrical surface stimulations and measurements. ArXiv: http://biorxiv.org/content/early/2017/05/23/141184 (2017). doi:https://doi.org/10.1101/141184
141184.full_.pdf (7.1 MB)

Selective feature integration with critical dynamics in cortical subnetworks. BMC Neuroscience 2017 (2017).
Toemen_CNS2017.pdf (122.15 KB)

Analysis of neural signals for chronically implanted, novel multi-channel floating probes. Bernstein Conference 2016 (2016).
abstract_rothe_BCCN2016.pdf (160.16 KB)

Contextual interactions in grating plaid configurations are explained by natural image statistics and neural modeling. Bernstein Conference 2016 (2016).
abstract_schiffer_BCCN16.pdf (330.1 KB)

Contextual interactions in grating plaid configurations are explained by natural image statistics and neural modeling. Front. Syst. Neurosci. 10:78, (2016).
ernst_frontiers_2016.pdf (2.95 MB)

Model-based inferences into attention and bistability information routing control via precisely-timed perturbations. Bernstein Conference 2016 (2016).
abstract_lisitsyn_BCCN2016.pdf (1017.2 KB)

Modelling transient dynamics and attentional modulation in MT cells in a structurally simple model. Bernstein Conference 2016 (2016).
abstract_bohnenkamp_BCCN2016.pdf (147.25 KB)

Ongoing activity in a spiking network of visual cortical columns representing local optimal inference modules. Bernstein Conference 2016 (BCCN Berlin, 2016).
abstract_capparelli_BCCN2016.pdf (508.3 KB)

Attention selectively gates afferent signal transmission to area V4. bioRxiv (2015). doi:10.1101/019547
Grothe_2015.pdf (1.19 MB)

Attentional effects in contour integration in dynamic scenes. Vision Science Society (VSS) Annual Meeting Poster 26.4077 (2015). doi:10.1167/15.12.326
Attentional spreading over feature attributes and feature dimensions: Distributed top-down modulation or joint neural coding?. Computational Neuroscience Conference (CNS) 2015, BMC Neuroscience (2015).
A model for attentional information routing through coherence predicts biased competition and multistable perception. Journal of Neurophysiology 114, 1593-1605 (2015).
harnack_2015_attentional_information_routing.pdf (1.07 MB)

Optimal feature integration in critical, balanced network. Society for Neuroscience (SfN) Annual Meeting (2015).
Optimal feature integration in critical, balanced networks. Annual Meeting of the German Neuroscience Society 2015 Poster T23-3C (2015).
Optimal feature integration in critical, balanced networks. Computational and Systems Neuroscience (CoSyNe) Poster II-101 (2015).
Probing communicationa through coherence via phase-dependent analysis. Society for Neuroscience (SfN) Annual Meeting (2015).
Probing information routing mechanisms by precisely-timed electrical stimulation pulses: a modelling study. Computational Neuroscience Conference (CNS) 2015, BMC Neuroscience (2015).
A simplified model for oscillatory population dynamics in visual cortex. Annual Meeting of the German Neuroscience Society 2015 Poster T26-2A (2015).
Encyclopedia of Computational Neuroscience (Springer , 2014). doi:10.1007/978-1-4614-7320-6_569-1
Contour integration in dynamic scenes and selective attention. Bernstein Conference 2014, Göttingen (2014). doi:10.12751/nncn.bc2014.0139
Contour integration in dynamic scenes and selective attention. 43rd European Conference on Visual Perception (ECVP) 176 (2014).
AbstractGrzymisch_ECVP2014.pdf (30.72 KB)

Guiding attention: phase-response curve analysis of a communication through coherence model. Bernstein Conference 2014, Frontiers (2014). doi:10.12751/nncn.bc2014.003
BCCN14posterLisitsyn.pdf (1.86 MB)

Marginally subcritical dynamics explain enhanced stimulus discriminability under attention. Front Syst Neurosci. 2014 Aug 25 8, Article 151, (2014).
toemen_frontiers_2014-1.pdf (1.85 MB)

Marginally subcritical dynamics explain enhanced stimulus discriminability under attention. 10th Bernstein Conference 2014, Frontiers (2014). doi:10.12751/nncn.bc2014.0036
Multistable network dynamics through lateral inhibition: an efficient mechanism for selective information routing. BMC Neuroscience 2014 15 (Suppl1), P165 (2014).
Optimal feature integration in critical, balanced networks. 3rd Workshop on the Brain: Criticality, Dynamics, Network and Function (2014).
The role of eye movements in a contour detection task. Journal of Vision 13 no. 14 article 5, (2014).
5.full_.pdf (1.16 MB)

Attention improves information processing. Göttingen Meeting of the German Neuroscience Society 2013 T26-5B (2013).
Attention improves information processing by tuning cortical networks towards critical states. COSYNE II-41 (2013).
Attention improves information processing by tuning cortical networks towards critical states. Göttingen Meeting of the German Neuroscience Society 2013 T26-5B (2013).
A dynamic model for selective visual attention predicts information routing. 10th Göttingen Meeting of the German Neuroscience Society T26-6C (2013).
A dynamic model for selective visual attention predicts information routing. Göttingen Meeting of the German Neuroscience Society 2013 T26-6C (2013).
Dynamics of Dual Prism Adaptation: Relating Novel Experimental Results to a Minimalistic Neural Model. PLOS ONE 8, e76601 (2013).
pone.0076601.pdf (1.59 MB)

Improved information processing under attention is explained by phase transitions in cortical dynamics. Brainmodes 2013 (2013).
A model for selective visual attention predicts information gating and biased competition. Bernstein Conference 2013 (2013). doi:10.12751/nncn.bc2013.0062
A model for selective visual attention predicts information routing. BMC Neuroscience 2013 14(Suppl.1), P310 (2013).
A model of selective visual attention predicts biased competition and information routing. ECVP 2013 152 (2013).
The neuronal input channel switched by attention reflects routing by coherence. COSYNE 2013 III-2 (2013).
Neurosciences - From Molecule to Behavior: A University Textbook 363-407 (Springer-Verlag, 2013). doi:DOI 10.1007/978-3-642-10769-6_18
Selective synchronization explains transfer characteristics of attention-dependent routing for broad-band flicker signals to monkey area V4. ECVP 2013 163 (2013).
Toward high performance, weakly invasive Brain Computer Interfaces using selective visual attention. The Journal of Neuroscience 33(14), 6001-6011 (2013).
JournalOfNeuroscience.pdf (3.25 MB)

Interareal gamma-band synchronization in primate ventral visual pathway underlies signal routing during selective attention. Neuroscience 913.18/CCC65 (2012).
A model for selective visual attention predicts information routing through coherence. Neuroscience New Orleans 724.02 (2012).
Perceptual inference predicts contextual modulations of sensory responses. J. Neurosci. 32(12), 4179-4195 (2012).
lochmann_jneurosci_2012.pdf (2.74 MB)

Gating of visual processing by selective attention as observed in LFP data of monkey area V4. SfN International Neuroscience Meeting 2011 221.05 (2011).
2011_rotermund_sfn.pdf (21.92 KB)

Gating Of Visual Processing By Selective Attention As Observed In LFP Data Of Monkey Area V4. 9th Goettingen Meeting of the German Neuroscience Society / 33nd Goettingen Neurobiology Conference T24-3B (2011).
2011_rotermund_goe.pdf (59.93 KB)

High-performance classification of contour percepts from EEG recordings. 20th Annual Computational Neuroscience Meeting CNS 12(Suppl 1):P94, (2011).
2011_rotermund_bmc.pdf (400.54 KB)

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 40, 210 (2011).
2011_schipper_ecvp.pdf (20.91 KB)

Routing of information flow by selective visual attention in LFPs of monkey area V4. Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting (2011). doi:10.3389/conf.fncom.2011.53.00055
2011_rotermund_bccn.pdf (62.9 KB)

Transient activation of MT neurons to stimulus velocity changes: experiments and modelling. BC11 : Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting 2011 (2011). doi:doi: 10.3389/conf.fncom.2011.53.00054
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 631.3 (2010).
2010_ernst_sfn.pdf (28.76 KB)

Highly selective processing of temporal information from attended stimuli in macaque’s visual area V4. Bernstein Conference on Computational Neuroscience (2010). doi:doi: 10.3389/conf.fncom.2010.51.00103
2010_neitzel_bccn.pdf (73.68 KB)

A Horizontal Bias in Contour Integration: Evidence from Psychophysics and Electrophysiology. Perception, ECVP Conference 39, (2010).
2010_schipper_ecvp.pdf (41.23 KB)

Local contour integration depends on alignment and orientation of global shapes. Front. Comput. Neurosci. (2010). doi:10.3389/conf.fncom.2010.51.00108
2010_schipper_bccn.pdf (63.69 KB)

Predicting the dynamics of dual prism adaptation with a biophysically plausible neural model. Bernstein Conference on Computational Neuroscience (2010). doi:10.3389/conf.fncom.2010.51.00036
2010_arevalo_bccn.pdf (65.33 KB)

Attention Improves Object Representation in Visual Cortical Field Potentials. Journal of Neuroscience 29 (32), 10120–10130 (2009).
2009_rotermund_jneurosci.pdf (1.37 MB)

Can reduced contour detection performance in the periphery be explained by larger integration fields. 18th Annual Computational Neuroscience Meeting (CNS 2009) 10(Suppl 1): P360, (2009).
2009_schinkel_bmc.pdf (197.45 KB)

Computational Neuroscience. 18th Annual Computational Neuroscience Meeting (CNS 2009) 10(Suppl 1): I1, (2009).
2009_johnson_bmc.pdf (173.89 KB)

Enhancing information processing by synchronization. Bernstein Conference on Computational Neuroscience (BCCN2009) (2009). doi:10.3389/conf.neuro.10.2009.14.043
2009_rotermund_bmc_B.pdf (220.31 KB)

Enhancing information processing by synchronization. 18th Annual Computational Neuroscience Meeting (CNS 2009) 10(Suppl 1):P268, (2009).
2009_rotermund_bmc.pdf (220.31 KB)

Enhancing information processing by synchronization. SfN International Neuroscience Meeting 2009 758.24 (2009).
2009_ernst_sfn.pdf (24.84 KB)

Field potentials from macaque area V4 predict attention in single trials with 100%. Bernstein Conference on Computational Neuroscience (BCCN2009) (2009). doi:10.3389/conf.neuro.10.2009.14.068
2009_rotermund_bccn.pdf (65.11 KB)

How do prior expectations shape contour integration?. 8th Göttingen Meeting of the German Neuroscience Society / 32nd Göttingen Neurobiology Conference 2009 T16-7C (2009).
2009_schipper_goe.pdf (13.17 KB)

Influence of prior expectations on contour integration: Psychophysics and modelling. 18th Annual Computational Neuroscience Meeting (CNS 2009) 10 (Suppl 1): P12, (2009).
2009_schipper_bmc.pdf (164.92 KB)

Interactions between top-down and stimulus-driven processes in visual feature integration. Bernstein Conference on Computational Neuroscience (BCCN2009) (2009). doi:10.3389/conf.neuro.10.2009.14.158
2009_schipper_bccn.pdf (65.86 KB)

Learning of Visuomotor Adaptation: Insights from Experiments and Simulations. Bernstein Conference on Computational Neuroscience (BCCN2009) (2009). doi:10.3389/conf.neuro.10.2009.14.001
2009_bornschlegl_bccn.pdf (62.26 KB)

Phase differences in local field potentials from macaque monkey area V4 predict attentional state in single trials with 99.6% accuracy. Berlin Brain Computer Interface (BBCI) 2009 - Advances in Neurotechnology (2009).
Phase differences in local field potentials from macaque monkey area V4, predict attentional state in single trials with 99.6% accuracy. German-Japanese workshop 2009 (2009).
Phase differences in local field potentials from macaque monkey area V4 predict attentional state in single trials with 99.6% accuracy. 8th Goettingen Meeting of the German Neuroscience Society / 32nd Goettingen Neurobiology Conference T26-13A (2009).
2009_rotermund_goe.pdf (23.68 KB)

Phase differences in local field potentials from macaque monkey area V4 predict attentional state in single trials with 99.6% accuracy. 18th Annual Computational Neuroscience Meeting (CNS 2009) 10 (Suppl 1): P230, (2009).
2009_rotermund_bmc_A.pdf (135.56 KB)

Dynamic, context-dependant spike responses of visual neurons reflects inference and learning in natural movies. CoSyne Meeting 2008 306 (2008).
Human contour integration is optimized for natural images. SfN International Neuroscience Meeting 2008 568.25 (2008).
2008_schinkel_sfn.pdf (26.33 KB)

Investigating the interactions between top-down and bottom-up visual processing: The influence of prior expectations on contour integration. Bernstein Symposium 2008 (2008). doi:10.3389/conf.neuro.10.2008.01.108
2008_schipper_bccn.pdf (78.62 KB)

Phase differences in local field potentials from macaque monkey area V4 predict attentional state in single trials with 99.6% accuracy. SfN International Neuroscience Meeting 2008 590.20 (2008).
2008_pawelzik_sfn.pdf (72.85 KB)

Self-organized critical control in human behavior. Proc. DPG spring meeting Berlin 2008 DY 5.3 (2008). at <http://www.dpg-verhandlungen.de/2008/berlin/dy5.pdf>
2008_patzelt_dpg_abstract.pdf (24.97 KB)

Spatial Transfer in Prism Adaptation. Bernstein Symposium 2008 (2008). doi:10.3389/conf.neuro.10.2008.01.026
2008_arevalo_bccn.pdf (49.09 KB)

Attention improves object representation in monkey area V4. Goettingen Neurobiology Conference T32-1A (2007).
2007_rotermund_goe.pdf (10.13 KB)

Attention in monkey area V4 is modulated by task demand. SfN International Neuroscience Meeting 2007 176.1 (2007).
2007_rotermund_sfn.pdf (59.1 KB)

Criticality of Avalanche Dynamics in Adaptive Recurrent Networks. Neurocomputing 70, 1877-1881 (2007).
2006_levina_neucom.pdf (331.07 KB)

Detection of gabor patch arrangements is explained by natural image statistics. Sixteenth Annual Computational Neuroscience Meeting: CNS*2007 8(Suppl 2):P154, (2007).
2007_ernst_bmc.pdf (131.47 KB)

Efficient computation based on stochastic spikes. Neural Computation 19 (5), 243-257 (2007).
2007_ernst_neurcomp.pdf (872.83 KB)

Extra-classical receptive field properties from natural image statistics. SfN International Neuroscience Meeting 2007 768.4 (2007).
2007_ernst_sfn.pdf (19.73 KB)

Finding the underlying causes of the visual input with spiking neurons and shunting inhibition. SfN International Neuroscience Meeting 2007 394.1 (2007).
2007_deneve_sfn.pdf (20.63 KB)

Modeling spatial and temporal aspects of visual backward masking. Advances in Cognitive Psychology 3 (1-2), 93-105 (2007).
2007_hermens_advcogpsy.pdf (504.54 KB)

Self-Organised Critical Noise Amplification in Human Closed Loop Control. Frontiers in Computational Neuroscience 1, 4 (2007). doi:10.3389/neuro.10.004.2007
2007_patzelt_frontiers.pdf (442.21 KB)

Self-organised critical noise amplification in human closed loop control. Noise in Life 2007: Stochastic Dynamics in the Neurosciences - International workshop, MPIPKS Dresden (2007).
2007_patzelt_noise_abstract.pdf (29.77 KB)

Structure of the neuronal interactions underlying human contour integration. Sixteenth Annual Computational Neuroscience Meeting: CNS*2007 8(Suppl 2):P77, (2007).
2007_schinkel_bmc.pdf (133.98 KB)

Temporal factors in figure-ground segregation, object representation, and closed loop eye-hand coordination. Midterm Evaluation of the German National Network for Computational Neuroscience, Berlin 03.-04.12.2007 (2007).
Attention improves object discriminability in monkey area V4. CNS - Computational Neuroscience Conference S2 (2006).
2006_rotermund_cns.pdf (249.37 KB)

FENS 2006 9915010554 (2006).
Contour detection from quasi-ideal contour integration. CNS - Computational Neuroscience Conference (2006).
2006_schinkel_cns.pdf (81.33 KB)

Neuroscience (2006).
Modeling systematic errors of human contour detection reveals new mechanisms of contour integration. SfN International Neuroscience Meeting 2006 604.1 (2006).
On-line adaptation of neuro-prostheses with neuronal evaluation signals. Proceedings ESANN’06 53–62 (d-side, Evere, Belgium, 2006).
2006_pawelzik_esann.pdf (315.99 KB)

Optimal contour integration: When additive algorithms fail. Neurocomputing 69 (16-18), 1297-1300 (2006).
2005_schinkel_neucom.pdf (214.18 KB)

Towards on-line adaptation of neuro-prostheses with neuronal evaluation signals. SfN International Neuroscience Meeting 2006 13.13 (2006).
Towards on-line adaptation of neuro-prosthesis with neuronal evaluation signals. Biological Cybernetics 95 (3), 243–257 (2006).
2006_rotermund_biolcyb.pdf (331.47 KB)

Attention improves object encoding in monkey area V4. SfN International Neuroscience Meeting 2005 591.6 (2005).
Neuronal mechanisms of contour integration investigated by combining psychophysical experiments with probabilistic modeling. Proceedings of the 30th Götingen Neurobiology Conference 434A (2005).
2005_mandon_goe.pdf (16.16 KB)

Processing natural images with single spikes. Proceedings of the 30th Göttingen Neurobiology Conference 445A (2005).
2005_rotermund_goe.pdf (233.62 KB)

Robust integration and detection of noisy contours in a probabilistic neural model. Neurocomputing 65-66, 211–217 (2005).
2004_schinkel_neucom.pdf (116.74 KB)

Systematic errors of contour detection are predicted by computational mechanisms for contour integration: Theory and Experiments. SfN International Neuroscience Meeting 2005 618.12 (2005).
An algorithm for fast pattern recognition with random spikes. 26th DAGM Symposium Pattern Recognition (Lecture Notes in Computer Science 3175), 399–406 (Springer-Verlag Berlin/Heidelberg, 2004).
2004_ernst_lncs.pdf (244.59 KB)

Computing spike-by-spike. Dynamic Perception Workshop 145–150 (IOS Press, 2004).
How ideally do macaque monkeys integrate contours?. Neurocomputing 58-60, 971–977 (2004).
2003_ernst_neucom.pdf (195.72 KB)

Large tuning width can improve contour detection performance in a neural model for robust contour integration. 4th Forum of European Neuroscience (FENS) A 085.2 (2004).
Mechanisms and principles of contour integration revealed by combining psychophysical experiments with probabilistic modeling. Dynamic Perception Workshop 211–216 (IOS Press, 2004).
2004_ernst_dynperc.pdf (169.48 KB)

Mechanisms and principles of contour integration revealed by combining psychophysical experiments with probabilistic modelling. SfN International Neuroscience Meeting 2004 713.8 (2004).
A novel framework for universal adaptive computation in a cortex model with stochastic spikes. 4th Forum of European Neuroscience (FENS) 142.1 (2004).
Building representations spike by spike. Neural Information and Coding Workshop (2003).
2003_pawelzik_snowbird.pdf (44.49 KB)

Building representations spike by spike. Proceedings of the 29th Göttingen Neurobiology Conference 1041 (2003).
2003_pawelzik_goe.pdf (9.83 KB)

Dynamics of neuronal populations modeled by Wilson-Cowan system account for the transient visibility of masked stimuli. Neurocomputing 52–54, 747–753 (2003).
2002_ernst_neucom.pdf (574.99 KB)

Extending the shine-through effect to classical masking paradigms. Vision Research 43, 2659–2667 (2003).
2003_herzog_visres.pdf (148.97 KB)

Local interactions in neural networks explain global effects in the masking of visual stimuli. Neural Computation 15, 2091–2113 (2003).
2003_herzog_neurcomp.pdf (344.02 KB)

Rapid contour integration of macaque monkeys and spiking neural networks. SfN International Neuroscience Meeting 2003 767.10 (2003).
2003_ernst_sfn.pdf (62.84 KB)

Building representations spike by spike. Society of Neuroscience Conference 2002 557.12 (2002).
2002_pawelzik_sfn.pdf (6.83 KB)

Bunsen-Roscoe-Blochś law holds for visibility of stimuli in neural populations whose activity obeys a Wilson-Cowan dynamics. NeuroNord Conference on Cognitive and Emotional Neuroscience, Delmenhorst (2002).
The Handbook of Brain Theory and Neural Networks, 2nd edition 294–300 (MIT Press, Cambridge MA, 2002).
2002_ernst_book.pdf (504.95 KB)

Finite-size effects of avalanche dynamics. Phys. Rev. E 66, 066137 (2002).
2002_eurich_pre.pdf (498.31 KB)

Object representation through transient neural dynamics. Dynamic Perception (Workshop of GI section 1.0.4.) 71–76 (IOS press, 2002).
2002_ernst_dynperc.pdf (153.67 KB)

Objekterkennung: Ein Kamel Ist keine Palme. Gehirn und Geist 1, 11–13 (2002).
2002_herzog_gehirngeist.pdf (5.44 MB)

Spectral and nonspectral analysis of brain state coherency. FENS 2002 074.10 (2002).
2002_haynes_fens.pdf (15.64 KB)

Synchronizing assemblies perform magnitude-invariant pattern detection. Neurocomputing 44-46, 429–433 (2002).
2001_henkel_neucom.pdf (517.35 KB)

Transient activation of neural populations in a cortical model accounts for the transient visibility of masked stimuli. Society for Neuroscience Meeting 2002 161.10 (2002).
2002_ernst_sfn.pdf (18.82 KB)

Transiente Merkmalsbindung und raumzeitliche Aktivitätsdynamik in einem Modell des visuellen Kortex. Frühjahrstagung: Verhandlungen der Deutschen Physikalischen Gesellschaft (DPG) SYPH 1.7 (2002).
2002_ernst_dpg.pdf (39.29 KB)

Analytical approach to avalanches of spike activity in neural networks. 265th WE-Heraeus-Seminar, Synchronization in physics and neurosciences (2001).
Asymmetric surround suppression coincides with structures of orientation preference map. Proceedings of the 28th Göttingen Neurobiology Conference 2001 248 (2001).
2001_ernst_goe.pdf (83.38 KB)

Handbook of Biological Physics 4, 969–1000 (Elsevier, Amsterdam, 2001).
2001_ernst_book.pdf (776.48 KB)

Intracortical origin of visual maps. Nature Neuroscience 4, 431–436 (2001).
2001_ernst_natneusci.pdf (289.73 KB)

Shine-through – dynamical effects. Dynamics and adaptivity of neuronal Systems – integrative approaches to analyzing cognitive functions (Symposium) (2001).
Avalanches of activity in neural networks: finite size effects. International Workshop on Dynamical Neural Networks and Applications, DYNN 2000 ( ) 26–27 (Bielefeld, 2000).
Delay adaptation in the nervous system. Neurocomputing 32-33, 741–748 (2000).
1999_eurich_neucom.pdf (279.88 KB)

Lateral intracortical interactions and random inhomogeneities: A key to the spontaneous emergence of cortical maps in V1 without visual experience. FENS 2000 126 (2000).
2000_ernst_fens.pdf (43.75 KB)

Spontaneous emergence of orientation preference and direction selectivity through lateral intracortical interactions. CNS 2000 215 (2000).
2000_ernst_cns.pdf (271.74 KB)

Avalanches of activity in a network of integrate-and-fire neurons with stochastic input. ICANN 1999 545–550 (University of Edinburgh, 1999).
1999_eurich_icann.pdf (387.73 KB)

Dynamics of self-organized delay adaptation. Physical Review Letters 82 (7), 1594–1597 (1999).
1999_eurich_prl.pdf (160.5 KB)

Intracortical origin of visual cortical maps. SfN International Neuroscience Meeting 1999 531.8 (1999).
Relation between retinotopic and orientation maps in visual cortex. Neural Computation 11, 375–379 (1999).
1999_ernst_neurcomp.pdf (125.98 KB)

Relationships between cortical maps and receptive fields are determined by lateral cortical feedback. Proceedings of the 27th Göttingen Neurobiology Conference 1999 168 (1999).
1999_ernst_goe.pdf (111.51 KB)

Theory of non-classical receptive field phenomena in the visual cortex. Neurocomputing 26–27, 367–374 (1999).
1998_ernst_neucom.pdf (188.81 KB)

Analysing the context dependence of receptive fields in visual cortex. ICANN 1998 Perspectives in Neural Computing 343–348 (Springer, London, 1998).
1998_ernst_icann.pdf (120.61 KB)

Continuous dynamics of neuronal delay adaptation. ICANN 1998 Perspectives in Neural Computing 355–360 (Springer, London, 1998).
1998_eurich_icann.pdf (202.62 KB)

Delay-induced multistable synchronization of biological oscillators. Physical Review E 57, 2150–2162 (1998).
1998_ernst_pre.pdf (338.9 KB)

Irregular synchronous activity in stochastically-coupled networks of integrate-and-fire neurons. Network 9, 333-344 (1998).
1998_lin_network.pdf (742.47 KB)

Orientation contrast enhancement modulated by differential long-range interaction in visual cortex. CNS 1997 361–366 (Plenum Press New York and London, 1998).
1997_ernst_cns.pdf (353.17 KB)

Orientation preference geometry modulates nonclassical receptive field properties. Proceedings of the 26th Göttingen Neurobiology Conference 1998 759 (1998).
1998_pawelzik_goe.pdf (73.97 KB)

Geometry of orientation preference map determines nonclassical receptive field properties. ICANN 1997 Artificial Neural Networks 231–236 (Springer, Berlin/Heidelberg, 1997).
1997_ernst_icann.pdf (271.57 KB)

Identifying oscillatory and stochastic neuronal behavior with high temporal precision in macaque monkey visual cortex. CNS 1996 Proceedings of the Conference on Computational Neuroscience ( ) 293–298 (Kluwer Academic Publishers,f Boston, Dordrecht, London, 1997).
1996_ernst_cns.pdf (197.36 KB)

Orientation contrast sensitivity from long-range interactions in visual cortex. Proceedings of the 25th Göttingen Neurobiology Conference 61 (1997).
1997_pawelzik_goe.pdf (61.26 KB)

Komplexe räumliche Dynamik und Phasenclustering in strukturierten pulsgekoppelten neuronalen Netzen. Frühjahrstagung: Verhandlungen der Deutschen Physikalischen Gesellschaft 1339 (1996).
Orientation contrast sensitivity from long-range interactions in visual cortex. NIPS 1996: Advances in Neural Information Processing Systems 9 90–96 (1996).
1996_pawelzik_nips.pdf (261.71 KB)

Multistable feature binding with noisy integrate-and-fire neurons. ICANN 1995 Proceedings of the International Conference on Articifical Neural Networks 1, 549–554 (EC2 & Cie, Paris, 1995).
1995_ernst_icann.pdf (137.28 KB)

Multistable phase-clustering in networks of spiking neurons. CNS 1994: Proceedings of the Conference on Computational Neuroscience 293–298 (Kluwer Academic Publishers, 1995).
Phasendichtedynamik pulsgekoppelter Oszillatoren mit Delay. Frühjahrstagung DPG: Verhandlungen der Deutschen Physikalischen Gesellschaft 1107 (1995).
Synchronization induced by temporal delays in pulse-coupled oscillators. Physical Review Letters 74 (9), 1570–1573 (1995).
1995_ernst_prl.pdf (127.2 KB)

Using the neuronal time structure for information processing: multistability in pulse coupled neurons with delay. Proceedings of the 23rd Göttingen Neurobiology Conference 1995 500 (1995).
1995_ernst_goe.pdf (212.77 KB)

Multiple phase clustering of globally pulse coupled neurons with delay. ICANN 1994 Proceedings of the International Conference on Articifical Neural Networks 1063–1066 (Springer Verlag Berlin, 1994).
1994_ernst_icann.pdf (171.81 KB)

Synchronisation, Desynchronisation und Gruppenbildung pulsgekoppelter Oszillatoren mit verzögerter Wechselwirkung. Frühjahrstagung DPG: Verhandlungen der Deutschen Physikalischen Gesellschaft 975 (1994).