Prof. Dr. Alexander S. Ecker

Main Affiliation
 
Staff Status
unigoe
 

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  • 2021 Lecture
    ​ ​Künstliche Intelligenz: Was ist das und warum reden alle darüber?​
    Ecker, A. S. ​ (2021)
    Künstliche Intelligenz, Data Science und Gesellschaft; 2021-10-26​, Göttingen.
    Details 
  • 2021 Journal Article | original_ja | 
    ​ ​Learning divisive normalization in primary visual cortex​
    Burg, M. F.; Cadena, S. A.; Denfield, G. H.; Walker, E. Y.; Tolias, A. S.; Bethge, M. & Ecker, A. S. ​ (2021) 
    PLoS Computational Biology17(6) pp. e1009028​.​
    Details  DOI 
  • 2020 Journal Article | original_ja | 
    ​ ​Benchmarking Unsupervised Object Representations for Video Sequences​
    Weis, M. A.; Chitta, K.; Sharma, Y.; Brendel, W.; Bethge, M.; Geiger, A. & Ecker, A. S. ​ (2020) 
    Journal of Machine Learning Research22(183) pp. 1​-61​.​
    Details  WoS  arXiv 
  • 2020 Preprint
    ​ ​Learning Divisive Normalization in Primary Visual Cortex​
    Burg, M. F.; Cadena, S. A.; Denfield, G. H.; Walker, E. Y.; Tolias, A. S.; Bethge, M.& Ecker, A. S. ​ (2020)
    Details  DOI 
  • 2020 Journal Article
    ​ ​The temporal structure of the inner retina at a single glance​
    Zhao, Z.; Klindt, D. A.; Maia Chagas, A.; Szatko, K. P.; Rogerson, L.; Protti, D. A. & Behrens, C. et al.​ (2020) 
    Scientific Reports10(1) art. 4399​.​
    Details  DOI  PMID  PMC 
  • 2019 Journal Article
    ​ ​Comparing Search Strategies of Humans and Machines in Clutter​
    Michaelis, C.; Funke, C.; Ecker, A. S. ; Wallis, T. S. & Bethge, M.​ (2019) 
    Journal of Vision19(10) art. 309c​.​
    Details  DOI 
  • 2019 Preprint
    ​ ​The temporal structure of the inner retina at a single glance​
    Zhao, Z.; Klindt, D.; Chagas, A. M.; Szatko, K. P.; Rogerson, L.; Protti, D. A.& Behrens, C. et al.​ (2019)
    Details  DOI 
  • 2019 Conference Paper
    ​ ​Comparing Humans and Deep Neural Networks on Visual Shape Judgments in Cluttered Images​
    Funke, C.; Wallis, T.; Borowski, J.; Michaelis, C. & Ecker, A. ​ (2019)
    p. 199. ​PERCEPTION​
    SAGE PUBLICATIONS LTD.
    Details 
  • 2019 Preprint
    ​ ​Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming​
    Michaelis, C.; Mitzkus, B.; Geirhos, R.; Rusak, E.; Bringmann, O.; Ecker, A. S.  & Bethge, M. et al.​ (2019)
    Details  arXiv 
  • 2019 Journal Article
    ​ ​Image content is more important than Bouma's Law for scene metamers​
    Wallis, T. S. A.; Funke, C. M.; Ecker, A. S. ; Gatys, L. A.; Wichmann, F. A. & Bethge, M.​ (2019) 
    eLife8.​
    Details  DOI  PMID  PMC 
  • 2019 Journal Article
    ​ ​Deep convolutional models improve predictions of macaque V1 responses to natural images​
    Cadena, S. A.; Denfield, G. H.; Walker, E. Y.; Gatys, L. A.; Tolias, A. S.; Bethge, M. & Ecker, A. S. ​ (2019) 
    PLoS Computational Biology15(4) art. e1006897​.​
    Details  DOI  PMID  PMC 
  • 2019 Conference Paper
    ​ ​Learning Divisive Normalization in Primary Visual Cortex​
    Günthner, M. F.; Cadena, S. A.; Denfield, G. H.; Walker, E. Y.; Gatys, L. A.; Tolias, A. S. & Bethge, M. et al.​ (2019)
    ​Conference on Cognitive Computational Neuroscience 2019​, Berlin, Germany.
    Details  DOI 
  • 2019 Conference Paper
    ​ ​How well do deep neural networks trained on object recognition characterize the mouse visual system?​
    Cadena, S. A.; Sinz, F. H. ; Muhammad, T.; Froudarakis, E.; Cobos, E.; Walker, E. Y. & Reimer, J. et al.​ (2019)
    ​33rd Conference on Neural Information Processing Systems (NeurIPS 2019)​, ), Vancouver, Canada.
    Details 
  • 2019 Journal Article
    ​ ​Inception loops discover what excites neurons most using deep predictive models​
    Walker, E. Y.; Sinz, F. H. ; Cobos, E.; Muhammad, T.; Froudarakis, E.; Fahey, P. G. & Ecker, A. S.  et al.​ (2019) 
    Nature Neuroscience22(12) pp. 2060​-2065​.​
    Details  DOI  PMID  PMC 
  • 2018 Conference Paper
    ​ ​Multi-Task Generalization and Adaptation between Noisy Digit Datasets: An Empirical Study​
    Schneider, S.; Ecker, A. S. ; Macke, J. H. & Bethge, M.​ (2018)
    ​Neural Information Processing Systems (NeurIPS), Workshop on Continual Learning​, Montreal, Canada.
    Details 
  • 2018 Conference Paper
    ​ ​Scaling of information in large sensory populations​
    Cotton, R. J.; Ecker, A. S. ; Froudarakis, E.; Berens, P.; Bethge, M.; Saggau, P. & Tolias, A. S.​ (2018)
    ​AREADNE 2018: Research in Encoding And Decoding of Neural Ensembles​, AREADNE 2018: Research in Encoding And Decoding of Neural Ensembles.
    AREADNE Foundation.
    Details 
  • 2018 Book Chapter
    ​ ​Introduction to NIPS 2017 Competition Track​
    Escalera, S.; Weimer, M.; Burtsev, M.; Malykh, V.; Logacheva, V.; Lowe, R.& Serban, I. V. et al.​ (2018)
    In:​ S. Escalera & N. Weimer​ (Eds.), The NIPS '17 Competition: Building Intelligent Systems pp. 1​-23. ​Cham: ​Springer.
    Details  DOI 
  • 2018 Preprint
    ​ ​A rotation-equivariant convolutional neural network model of primary visual cortex​
    Ecker, A. S. ; Sinz, F. H. ; Froudarakis, E.; Fahey, P. G.; Cadena, S. A.; Walker, E. Y.& Cobos, E. et al.​ (2018)
    Details  arXiv 
  • 2018 Journal Article
    ​ ​Comparing the ability of humans and DNNs to recognise closed contours in cluttered images​
    Funke, C.; Borowski, J.; Wallis, T.; Brendel, W.; Ecker, A.   & Bethge, M.​ (2018) 
    Journal of Vision18(10) pp. 800​.​
    Details  DOI 
  • 2018 Preprint
    ​ ​One-Shot Segmentation in Clutter​
    Michaelis, C.; Bethge, M.& Ecker, A. S. ​ (2018)
    Details  arXiv 
  • 2018 Book Chapter
    ​ ​Diverse Feature Visualizations Reveal Invariances in Early Layers of Deep Neural Networks​
    Cadena, S. A.; Weis, M. A.; Gatys, L. A.; Bethge, M.; Ecker, A. S.  & Weiss, Y.​ (2018)
    In:​ V. Ferrari; M. Hebert & C. Sminchisescu​ (Eds.), Computer Vision – ECCV 2018 pp. 225​-240. (Vol. 11216). ​Cham: ​Springer.
    Details  DOI 
  • 2018 Preprint
    ​ ​Inception in visual cortex: in vivo-silico loops reveal most exciting images​
    Walker, E. Y.; Sinz, F. H. ; Froudarakis, E.; Fahey, P. G.; Muhammad, T.; Ecker, A. S.  & Cobos, E. et al.​ (2018)
    Details  DOI 
  • 2018 Preprint
    ​ ​Stimulus domain transfer in recurrent models for large scale cortical population prediction on video​
    Sinz, F. H. ; Ecker, A. S. ; Fahey, P. G.; Walker, E. Y.; Cobos, E.; Froudarakis, E.& Yatsenko, D. et al.​ (2018)
    Details  DOI 
  • 2018 Journal Article
    ​ ​Faster processing of moving compared with flashed bars in awake macaque V1 provides a neural correlate of the flash lag illusion​
    Subramaniyan, M.; Ecker, A. S. ; Patel, S. S.; Cotton, R. J.; Bethge, M.; Pitkow, X. & Berens, P. et al.​ (2018) 
    Journal of Neurophysiology120(5) pp. 2430​-2452​.​
    Details  DOI  PMID  PMC 
  • 2018 Preprint
    ​ ​Image content is more important than Bouma’s Law for scene metamers​
    Wallis, T. S. A.; Funke, C. M.; Ecker, A. S. ; Gatys, L. A.; Wichmann, F. A.& Bethge, M.​ (2018)
    Details  DOI 
  • 2018 Preprint
    ​ ​Attentional fluctuations induce shared variability in macaque primary visual cortex​
    Denfield, G. H.; Ecker, A. S. ; Shinn, T. J.; Bethge, M.& Tolias, A. S.​ (2018)
    Details  DOI 
  • 2018 Journal Article
    ​ ​Attentional fluctuations induce shared variability in macaque primary visual cortex​
    Denfield, G. H.; Ecker, A. S. ; Shinn, T. J.; Bethge, M. & Tolias, A. S.​ (2018) 
    Nature Communications9(1) art. 2654​.​
    Details  DOI 
  • 2018 Preprint
    ​ ​One-Shot Instance Segmentation​
    Michaelis, C.; Ustyuzhaninov, I.; Bethge, M.& Ecker, A. S. ​ (2018)
    Details  arXiv 
  • 2018 Conference Paper
    ​ ​SALAD: A Toolbox for Semi-supervised Adaptive Learning Across Domains​
    Schneider, S.; Ecker, A. S. ; Macke, J. H. & Bethge, M.​ (2018)
    ​32nd Conference on Neural Information Processing Systems (NIPS 2018)​, Montréal, Canada.
    Details 
  • 2017 Conference Paper
    ​ ​Mixed latent variable model of attention in V1​
    Vinogradov, O. & Ecker, A. S. ​ (2017)
    pp. 242​-243. , Göttingen.
    Details 
  • 2017 Journal Article
    ​ ​A parametric texture model based on deep convolutional features closely matches texture appearance for humans​
    Funke, C.; Wallis, T.; Ecker, A. S. ; Gatys, L.; Wichmann, F. & Bethge, M.​ (2017) 
    Journal of Vision17(10) art. 1081​.​
    Details  DOI 
  • 2017 Journal Article
    ​ ​Towards matching peripheral appearance for arbitrary natural images using deep features​
    Wallis, T.; Funke, C.; Ecker, A. ; Gatys, L.; Wichmann, F. & Bethge, M.​ (2017) 
    Journal of Vision17(10) art. 786​.​
    Details  DOI 
  • 2017 Preprint
    ​ ​Neural system identification for large populations separating "what" and "where"​
    Klindt, D. A.; Ecker, A. S. ; Euler, T.& Bethge, M.​ (2017)
    Details  arXiv 
  • 2017 Preprint
    ​ ​Synthesising Dynamic Textures using Convolutional Neural Networks​
    Funke, C. M.; Gatys, L. A.; Ecker, A. S.  & Bethge, M.​ (2017)
    Details  arXiv 
  • 2017 Preprint
    ​ ​A parametric texture model based on deep convolutional features closely matches texture appearance for humans​
    Wallis, T. S. A.; Funke, C. M.; Ecker, A. S. ; Gatys, L. A.; Wichmann, F. A.& Bethge, M.​ (2017)
    Details  DOI 
  • 2017 Conference Paper
    ​ ​Controlling Perceptual Factors in Neural Style Transfer​
    Gatys, L. A.; Ecker, A. S. ; Bethge, M.; Hertzmann, A. & Shechtman, E.​ (2017)
    ​2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) pp. 3730​-3738. ​2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)​, Honolulu, HI, USA.
    Details  DOI 
  • 2017 Journal Article
    ​ ​Texture and art with deep neural networks​
    Gatys, L. A.; Ecker, A. S.   & Bethge, M.​ (2017) 
    Current Opinion in Neurobiology46 pp. 178​-186​.​
    Details  DOI  PMID  PMC 
  • 2017 Journal Article
    ​ ​A parametric texture model based on deep convolutional features closely matches texture appearance for humans​
    Wallis, T. S. A.; Funke, C. M.; Ecker, A. S. ; Gatys, L. A.; Wichmann, F. A. & Bethge, M.​ (2017) 
    Journal of Vision17(12) art. 5​.​
    Details  DOI  PMID  PMC 
  • 2016 Conference Paper
    ​ ​What's the Signal in the Noise?​
    Ecker, A. S. ​ (2016)
    , Santorini, Greece.
    Details 
  • 2016 Journal Article
    ​ ​Seeking summary statistics that match peripheral visual appearance using naturalistic textures generated by Deep Neural Networks​
    Wallis, T.; Ecker, A. ; Gatys, L.; Funke, C.; Wichmann, F. & Bethge, M.​ (2016) 
    Journal of Vision16(12) art. 230​.​
    Details  DOI 
  • 2016 Journal Article
    ​ ​Spike sorting for large, dense electrode arrays​
    Rossant, C.; Kadir, S. N.; Goodman, D. F. M.; Schulman, J.; Hunter, M. L. D.; Saleem, A. B. & Grosmark, A. et al.​ (2016) 
    Nature Neuroscience19(4) pp. 634​-641​.​
    Details  DOI  PMID  PMC 
  • 2016 Conference Paper
    ​ ​Cell Lineage Directs teh Precise Assembly of Excitatory Neocortical Circuits​
    Cadwell, C. R.; Jiang, X.; Sinz, F. H. ; Berens, P.; Fahey, P. G.; Yatsenko, D. & Froudarakis, E. et al.​ (2016)
    ​AREADNE 2016: Research in Encoding And Decoding of Neural Ensembles​, Santorini, Greece.
    Details 
  • 2016 Conference Paper
    ​ ​Towards matching the peripheral visual appearance of arbitrary scenes using deep convolutional neural networks​
    Wallis, T. S.; Funke, C. M.; Ecker, A. S. ; Gatys, L. A.; Wichmann, F. A. & Bethge, M.​ (2016)
    Perception45 pp. 175​-176. 
    Details 
  • 2016 Preprint
    ​ ​Texture Modelling Using Convolutional Neural Networks​
    Gatys, L. A.; Ecker, A. S.  & Bethge, M.​ (2016)
    Details 
  • 2016 Journal Article
    ​ ​On the Structure of Neuronal Population Activity under Fluctuations in Attentional State​
    Ecker, A. S. ; Denfield, G. H.; Bethge, M. & Tolias, A. S.​ (2016) 
    The Journal of Neuroscience36(5) pp. 1775​-1789​.​
    Details  DOI  PMID  PMC 
  • 2016 Journal Article
    ​ ​A Neural Algorithm of Artistic Style​
    Gatys, L.; Ecker, A.   & Bethge, M.​ (2016) 
    Journal of Vision16(12) art. 326​.​
    Details  DOI 
  • 2016 Conference Paper
    ​ ​A goal-driven deep learning approach for V1 system identification​
    Cadena, S.; Ecker, A. ; Denfield, G.; Walker, E.; Tolia, A. & Bethge, M.​ (2016)
    ​Proceedings of the Bernstein Conference 2016. ​Bernstein Conference 2016​, Göttingen.
    Details 
  • 2016 Journal Article
    ​ ​Response to Comment on "Principles of connectivity among morphologically defined cell types in adult neocortex"​
    Jiang, X.; Shen, S.; Sinz, F. ; Reimer, J.; Cadwell, C. R.; Berens, P. & Ecker, A. S.  et al.​ (2016) 
    Science353(6304) art. 1108​.​
    Details  DOI  PMID  PMC 
  • 2015 Conference Paper
    ​ ​Sibling rivalry and cooperation among excitatory neurons in the neocortex​
    Cadwell, C. R.; Jiang, X.; Berens, P.; Fahey, P. G.; Yatsenko, D.; Froundarakis, E. & Ecker, A. S.  et al.​ (2015)
    ​45th Annual Meeting of the Society for Neuroscience (Neuroscience 2015)​, Chicago.
    Details 
  • 2015 Conference Paper
    ​ ​A statistical characterization of neural population responses in V1​
    Bassetto, G.; Sandhaeger, F.; Ecker, A.   & Macke, J. H.​ (2015)
    pp. 146​-147. ​Bernstein Conference 2015​, Heidelberg/Mannheim.
    Details 
  • 2015 Preprint
    ​ ​The Role of Internal Signals in Structuring V1 Population Activity​
    Denfield, G. H.; Ecker, A. S.  & Tolias, A. S.​ (2015)
    Details 
  • 2015 Journal Article
    ​ ​Principles of connectivity among morphologically defined cell types in adult neocortex​
    Jiang, X.; Shen, S.; Cadwell, C. R.; Berens, P.; Sinz, F. ; Ecker, A. S.   & Patel, S. et al.​ (2015) 
    Science350(6264) art. aac9462​.​
    Details  DOI  PMID  PMC 
  • 2015 Journal Article
    ​ ​Improved Estimation and Interpretation of Correlations in Neural Circuits​
    Yatsenko, D.; Josić, K.; Ecker, A. S. ; Froudarakis, E.; Cotton, R. J. & Tolias, A. S.​ (2015) 
    PLoS Computational Biology11(3) art. e1004083​.​
    Details  DOI  PMID  PMC 
  • 2015 Journal Article
    ​ ​Synaptic unreliability facilitates information transmission in balanced cortical populations​
    Gatys, L. A.; Ecker, A. S. ; Tchumatchenko, T.   & Bethge, M.​ (2015) 
    Physical Review. E91(6) art. 062707​.​
    Details  DOI  PMID  PMC 
  • 2015 Preprint
    ​ ​DataJoint: managing big scientific data using MATLAB or Python​
    Yatsenko, D.; Reimer, J.; Ecker, A. S. ; Walker, E. Y.; Sinz, F. ; Berens, P.& Hoenselaar, A. et al.​ (2015)
    Details  DOI 
  • 2014 Preprint
    ​ ​How much signal is there in the noise?​
    Gatys, L. A.; Ecker, A. S. ; Tchumatchenko, T.  & Bethge, M.​ (2014)
    Details 
  • 2014 Journal Article
    ​ ​State Dependence of Noise Correlations in Macaque Primary Visual Cortex​
    Ecker, A. S. ; Berens, P.; Cotton, R. J.; Subramaniyan, M.; Denfield, G. H.; Cadwell, C. R. & Smirnakis, S. M. et al.​ (2014) 
    Neuron82(1) pp. 235​-248​.​
    Details  DOI  PMID  PMC 
  • 2014 Preprint
    ​ ​Origins and implications of correlated neuronal variability​
    Ecker, A. S. ​ (2014)
    Details 
  • 2014 Journal Article
    ​ ​Is there signal in the noise?​
    Ecker, A. S.   & Tolias, A. S.​ (2014) 
    Nature Neuroscience17(6) pp. 750​-751​.​
    Details  DOI  PMID  PMC 
  • 2014 Journal Article
    ​ ​Population code in mouse V1 facilitates readout of natural scenes through increased sparseness​
    Froudarakis, E.; Berens, P.; Ecker, A. S. ; Cotton, R. J.; Sinz, F. H. ; Yatsenko, D. & Saggau, P. et al.​ (2014) 
    Nature Neuroscience17(6) pp. 851​-857​.​
    Details  DOI  PMID  PMC 
  • 2013 Conference Paper
    ​ ​Encoding of natural scene statistics in the primary visual cortex of the mouse​
    Froudarakis, E.; Berens, P.; Cotton, J. R.; Ecker, A. S. ; Saggau, P.; Bethge, M. & Tolias, A. S.​ (2013)
    ​Computational and Systems Neuroscience Meeting (COSYNE 2013)​, Salt Lake City.
    Details 
  • 2013 Journal Article
    ​ ​Macaque Monkeys Perceive the Flash Lag Illusion​
    Subramaniyan, M.; Ecker, A. S. ; Berens, P. & Tolias, A. S.​ (2013) 
    PLoS One8(3) art. e58788​.​
    Details  DOI  PMID  PMC 
  • 2013 Conference Paper
    ​ ​Information Coding in the Variance of Neural Activity​
    Gatys, L.; Ecker, A. S. ; Tchumatchenko, T.   & Bethge, M.​ (2013)
    p. 44. ​Bernstein Conference 2013​, Tübingen.
    Details 
  • 2012 Journal Article
    ​ ​A Fast and Simple Population Code for Orientation in Primate V1​
    Berens, P.; Ecker, A. S. ; Cotton, R. J.; Ma, W. J.; Bethge, M. & Tolias, A. S.​ (2012) 
    The Journal of Neuroscience32(31) pp. 10618​-10626​.​
    Details  DOI  PMID  PMC 
  • 2011 Journal Article
    ​ ​Optimal Population Coding, Revisited​
    Berens, P.; Ecker, A. ; Gerwinn, S.; Tolias, A. & Bethge, M.​ (2011) 
    Nature Precedings,.​
    Details  DOI 
  • 2011 Journal Article
    ​ ​The Effect of Noise Correlations in Populations of Diversely Tuned Neurons​
    Ecker, A. S. ; Berens, P.; Tolias, A. S. & Bethge, M.​ (2011) 
    The Journal of Neuroscience31(40) pp. 14272​-14283​.​
    Details  DOI  PMID  PMC 
  • 2011 Journal Article
    ​ ​Reassessing optimal neural population codes with neurometric functions​
    Berens, P.; Ecker, A. S. ; Gerwinn, S.; Tolias, A. S. & Bethge, M.​ (2011) 
    Proceedings of the National Academy of Sciences of the United States of America108(11) pp. 4423​-4428​.​
    Details  DOI  PMID  PMC 
  • 2010 Journal Article
    ​ ​Decorrelated Neuronal Firing in Cortical Microcircuits​
    Ecker, A. S. ; Berens, P.; Keliris, G. A.; Bethge, M.; Logothetis, N. K. & Tolias, A. S.​ (2010) 
    Science327(5965) pp. 584-7​-587​.​
    Details  DOI  PMID  PMC 
  • 2009 Conference Paper
    ​ ​Neurometric function analysis of population codes​
    Berens, P.; Gerwinn, S.; Ecker, A. S.   & Bethge, M.​ (2009)
    ​Proceedings of the Annual Conference on Neural Information Processing Systems 2009. Advances in Neural Information Processing Systems22 (Vol. 22). ​23rd Annual Conference on Neural Information Processing Systems, NIPS 2009​, Vancouver, BC; Canada.
    Details 
  • 2009 Conference Abstract
    ​ ​Sensory input statistics and network mechanisms in primate primary visual cortex​
    Andreas, T. & Ecker, A. S. ​ (2009)
    Frontiers in Systems Neuroscience3 ​Computational and systems neuroscience 2009​, Salt Lake City, UT, United States.
    Details  DOI 
  • 2009 Journal Article
    ​ ​Neurometric function analysis of short-term population codes​
    Berens, P.; Gerwinn, S.; Ecker, A. S.   & Bethge, M.​ (2009) 
    Frontiers in Computational Neuroscience3.​
    Details  DOI 
  • 2009 Journal Article
    ​ ​Generating Spike Trains with Specified Correlation Coefficients​
    Macke, J. H.; Berens, P.; Ecker, A. S. ; Tolias, A. S. & Bethge, M.​ (2009) 
    Neural Computation21(2) pp. 397​-423​.​
    Details  DOI  PMID  PMC 
  • 2008 Conference Paper
    ​ ​Modeling populations of spiking neurons with the Dichotomized Gaussian distribution​
    Macke, J. H.; Berens, P.; Ecker, A. S. ; Opper, M.; Tolias, A. S. & Bethge, M.​ (2008)
    ​Annual Meeting 2008 of Sloan-Swartz Centers for Theoretical Neurobiology​, Princeton University,.
    Details 
  • 2008 Conference Paper
    ​ ​Flexible Models for Population Spike Trains​
    Bethge, M.; Macke, J. H.; Berens, P.; Ecker, A. S.   & Tolias, A. S.​ (2008)
    ​AREADNE 2008: Research in Encoding and Decoding of Neural Ensembles​, Santorini, Greece.
    Details 
  • 2008 Conference Paper
    ​ ​Towards the neural basis of the flash-lag effect​
    Ecker, A. ; Berens, P.; Hoenselaar, A.; Subramaniyan, M.; Tolias, A. & Bethge, M.​ (2008)
    ​Proceedings of the International Workshop on Aspects of Adaptive Cortex Dynamics. ​International Workshop on Aspects of Adaptive Cortex Dynamics​
    Details 
  • 2008 Preprint
    ​ ​Predictive Coding and Spike Timing Dependent Plasticity in Primary Visual Cortex​
    Ecker, A. S. ​ (2008)
    Details 
  • 2008 Journal Article
    ​ ​Comparing the feature selectivity of the gamma-band of the local field potential and the underlying spiking activity in primate visual cortex​
    Berens, P.; Keliris, G. A.; Ecker, A. S. ; Logothetis, N. K. & Tolias, A. S.​ (2008) 
    Frontiers in Systems Neuroscience2 art. 2​.​
    Details  DOI  PMID  PMC 
  • 2008 Journal Article
    ​ ​Feature selectivity of the gamma-band of the local field potential in primate primary visual cortex​
    Berens, P.; Keliris, G. A.; Ecker, A. S. ; Logothetis, N. K. & Tolias, A. S.​ (2008) 
    Frontiers in Neuroscience2(2) pp. 199​-207​.​
    Details  DOI  PMID  PMC 
  • 2008 Conference Paper
    ​ ​Pairwise Correlations and Multineuronal Firing Patterns in the Primary Visual Cortex of the Awake, Behaving Macaque​
    Berens, P.; Ecker, A. S. ; Subramaniyan, M.; Macke, J. H.; Hauck, P.; Bethge, M. & Tolias, A. S.​ (2008)
    ​AREADNE 2008: Research in Encoding and Decoding of Neural Ensembles​, Santorini, Greece.
    Details 
  • 2007 Conference Paper
    ​ ​Orientation tuning of the local field potential and multi-unit activity in the primary visual cortex of the macaque​
    Berens, P.; Keliris, G. A.; Ecker, A. S. ; Logothetis, N. K. & Tolias, A. S.​ (2007)
    ​7th Meeting of the German Neuroscience Society, 31st Göttingen Neurobiology Conference​, Göttingen.
    Details 
  • 2007 Conference Paper
    ​ ​Population codes, correlations and coding uncertainty​
    Tolias, A. S.; Ecker, A. ; Keliris, G. A.; Panagiotaropoulos, F.; Panzeri, S. & Logothetis, N. K.​ (2007)
    ​Neural Coding, Computation and Dynamics (NCCD 07)​, Capbreton (France).
    Details 
  • 2007 Conference Paper
    ​ ​On the spatial scale of the local field potential-orientation and ocularity tuning of the local field potential in the primary visual cortex of the macaque​
    Berens, P.; Ecker, A. S. ; Keliris, G. A.; Logothetis, N. K. & Tolias, A. S.​ (2007)
    ​37th Annual Meeting of the Society for Neuroscience (Neuroscience 2007)​, San Diego.
    Details 
  • 2007 Journal Article
    ​ ​Recording Chronically From the Same Neurons in Awake, Behaving Primates​
    Tolias, A. S.; Ecker, A. S. ; Siapas, A. G.; Hoenselaar, A.; Keliris, G. A. & Logothetis, N. K.​ (2007) 
    Journal of Neurophysiology98(6) pp. 3780​-3790​.​
    Details  DOI  PMID  PMC 
  • 2006 Conference Paper
    ​ ​Structure of interneuronal correlations in the primary visual cortex of the rhesus macaque​
    Tolias, A. S.; Ecker, A. ; Keliris, G. A.; Siapas, T. G.; Smirnakis, S. M. & Logothetis, N. K.​ (2006)
    ​Computational and Systems Neuroscience Meeting (COSYNE 2006)​, Salt Lake City, Utah.
    Details 

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