Journal Publications

• G. Basalyga, M. A. Montemurro and T. Wennekers. Information coding in a laminar computational model of cat primary visual cortex. Journal of Computational Neuroscience, 34(2), pp. 273-283, 2013. doi: 10.1007/s10827-012-0420-x.
  
• J.H. Wijekoon and P. Dudek. VLSI circuits implementing computational models of neocortical circuits. Journal of Neuroscience Methods, 210(1):93-109, 2012. doi: 10.1016/j.jneumeth.2012.01.019.
  
• J. M. Cortes, D. Marinazzo, P. Series, M.W. Oram, T.J. Sejnowski and M.C.W. van Rossum. The effect of neural adaptation on population coding accuracy. Journal of Computational Neuroscience, 32(3):387-402, 2012. doi: 10.1007/s10827-011-0358-4.
• Mill, R.; Coath, M.; Wennekers, T. and Denham, S., Abstract Stimulus-Specific Adaptation Models. Neural Computation, 23(2):435-476, 2011. doi: 10.1162/NECO_a_00077.
  
• J. K. Bizley, K. M. M. Walker, A. J. King, and J. W. H. Schnup. Neural Ensemble Codes for Stimulus Periodicity in Auditory Cortex.The Journal of Neuroscience, 30(14):5078-5091, 2010.
• B. S. Bhattacharya and S. B. Furber. Biologically Inspired Means for Rank-Order Encoding Images: A Quantitative Analyis, IEEE Transactions on Neural Networks 21 (1087--1099), 2010.
• J.M. Cortes, A. Greve, A. Barrett and M.C.W. van Rossum. Dynamics and Robustness of Familiarity Memory. Neural Computation 22: 448-466, 2010.
• A.M. Thomson. Neocortical layer 6, a review. Frontiers in Neuroscience 4, 13, 2010.
• Samengo I. and Montemurro M.A. Conversion of Phase Information into a Spike-Count Code by Bursting Neurons. PLos One, 5(3), 2010.
• J.M. Cortes, A. Greve, A.B. Barrett and M. van Rossum. Dynamics and robustness of familiarity memory. Neural Computation 22, 2, pp 448-466, 2010.
• A. Symes and T. Wennekers. A Large-Scale Model of Spatiotemporal Patterns of Excitation and Inhibition Evoked by the Horizontal Network in Layer 2/3 of Ferret Visual Cortex. Neural Networks 22, 1079--1092, 2009.
• Cutsuridis, V.; Wennekers, T.; Graham, B.P.; Vida, I.; Taylor, J.G., Microcircuits -- their structure, dynamics and role in brain function. Neural Networks 22, 1037-1038, 2009.
• Cutsuridis, V.; Wennekers, T., Hippocampus, Microcircuits and Associative Memory. Neural Networks 22, 1120-1128, 2009.
• Wennekers, T., On the Natural Hierarchical Composition of Cliques in Cell Assemblies. Invited key-note paper for the inaugural issue of the Journal of Cognitive Computation 1, 128--138, 2009.
• J. K. Bizley, K. M. M. Walker, B. W. Silverman, A. J. King, and J. W. H. Schnupp, Interdependent Encoding of Pitch, Timbre, and Spatial Location in Auditory Cortex. Journal of Neuroscience, 29(7):2064-–2075, 2009.
• F. D. Szymanski, J. A. Garcia-Lazaro and J. W. H. Schnupp. Current Source Density Profiles of Stimulus-Specific Adaptation in Rat Auditory Cortex. Journal Neurophysiology 102: 1483-1490, 2009.
  
• J. W. H. Schnupp and C. E. Carr, On hearing with more than one ear: lessons from evolution. Nature Neuroscience 12, pp 692 - 697, 2009.
  
• Balaguer-Ballester E., Clark N.R., Coath M., Krumbholz K., Denham S.L.,  Understanding Pitch Perception as a Hierarchical Process with Top-Down Modulation. PLoS Comput. Biol. 5(3), 2009.
  
• C. Kayser, M.A. Montemurro, N. K. Logothetis, and S. Panzeri. Spike-Phase Coding Boosts and Stabilizes Information Carried by Spatial and Temporal Spike Patterns. Neuron, 61, 597-608, 2009.
• M. van Rossum, M.A.A. van der Meer, D. Xiao and M.W. Oram. Adaptive integration in the visual cortex by depressing recurrent cortical circuits, Neural Computation 20 (7), 2008.
• M. Garagnani, T. Wennekers and F. Pulvermueller. A neuroanatomically grounded Hebbian learning model of attention-language interactions in the human brain. Europan Journal of Neuroscience, 27(2): 492–513, 2008.
• M.A. Montemurro, M.J. Rasch, Y. Murayama, N.K. Logothetis and S. Panzeri. Phase-of-firing coding of natural visual stimuli in primary visual cortex. Current Biology,  18, 375-380, 2008.
  
• J. Marro, J.J. Torres and J.M. Cortes. Complex behavior in a network with time-dependent connections and silent nodes. Journal of Statistical Mechanics P02017, 2008.
  
• J. Marro, J.J. Torres, J.M. Cortes and B. Wemmenhove. Sensitivity, Itininerancy and Chaos in Partly-Synchronized Weighted Networks (cond-mat/0604662).
• J.J. Torres, J.M. Cortes, J. Marro and H.J. Kappen. Competition between synaptic depression and facilitation in attractor neural networks. Neural Computation 19: 2739-2755, 2007.
• J. Marro, J.J. Torres and J.M. Cortes. Networks with Heterogeneously Weighted Connections and Partial Synchronization of Nodes. Computer Physics Communications 177: 180-183, 2007.
• J.J. Torres, J. M. Cortes, J. Marro and H.J. Kappen. Attractor Neural Networks with Activity-Dependent Synapses: The Role of Synaptic Facilitation. Neurocomputing 70: 2022-2025, 2007.
• J.M.A.M. Kusters, J.M. Cortes, W.P.M. van Meerwijk, D.L. Ypey, A.P.R. Theuvenet and C.C.A.M. Gielen. Hysteresis and bi-stability by an interplay of calcium oscillations and action potential firing. Physical Review Letters 98: 098107, 2007.
  
• K. Guo, R. G. Robertson, M. Pulgarin, A. Nevado, S. Panzeri, A Thiele and M. P. Young. Spatio-temporal prediction and inference by V1 neurons. European Journal of Neuroscience 26, 1045--1054, 2007.
  
• S. Panzeri, R. Senatore, M. Montemurro and R. S. Petersen. Correcting for the Sampling Bias Problem in Spike Train Information Measures. Journal of Neurophysiology 98, 1064--1072, 2007.
  
• M. van Rossum, M.A.A. van der Meer, D. Xiao and M.W. Oram. Adaptive integration in the visual cortex by depressing recurrent cortical circuits, Neural Computation 20 (7), 2008.
  
• A.M. Thomson and C. Lamy. Functional Maps of Neocortical Circuitry. Frontiers in Neuroscience 1, 19-42, 2007.
• A. Bremaud, C. West and A.M. Thomson. Binomial parameters differ across neocortical layers and with different classes of connections in adult rat and cat neocortex. Proceedings of the National Academy of Sciences (U.S.A.) 104, 14134--14139, 2007.
• D. C. West, A. Mercer, S. Kirchhecker, O. T. Morris, and A. M. Thomson. Layer 6 Cortico-thalamic Pyramidal Cells Preferentially Innervate Interneurons and Generate Facilitating EPSPs, Cerebral Cortex 16 (200--211), 2006.
  
• Wennekers, T.; Garagnani, M. and Pulvermuller, F.: Language Models based on Hebbian Cell Assemblies. Journal of Neuroscience (Paris) 100, 16-30, 2006.
• Wennekers, T.: Operational cell assemblies as a paradigm for brain-inspired future computing architectures. Neural Information Processing - Letters and Reviews 10, 135-145, 2006.

Proceedings

• Coath, M.; Mill, R.; Denham, S. and Wennekers, T., The emergence of feature sensitivity in a recurrent model of auditory cortex with spike timing dependant plasticity. Proceedings of BICS 2010 - Brain Inspired Cognitive Systems 14-16 July 2010, Madrid, Spain.
  
• Basalyga, G.; Gleiser, P.M. and Wennekers, T., Emergence of small-world structure in networks of spiking neurons through STDP learning. Proceedings of BICS 2010 - Brain Inspired Cognitive Systems 14-16 July 2010, Madrid, Spain.
  
• Dura-Bernal, S.; Wennekers, T. and Denham, S., The role of feedback in a hierarchical model of object perception. Proceedings of BICS 2010 - Brain Inspired Cognitive Systems 14-16 July 2010, Madrid, Spain.
  
• Humble, J., Furber, S.; Denham, S. and Wennekers, T., STDP pattern onset learning depends on background activity. Proceedings of BICS 2010 - Brain Inspired Cognitive Systems 14-16 July 2010, Madrid, Spain.
• Rumbell, T.; Barnden, J.; Denham, S. and Wennekers, T., A Generic Framework for the Analysis of Emotion Mechanisms in Autonomous Agents. Proceedings of BICS 2010 - Brain Inspired Cognitive Systems 14-16 July 2010, Madrid, Spain. 
  
• J.H.B.Wijekoon and P.Dudek, Spiking and Bursting Firing Patterns of a Compact VLSI Cortical Neuron Circuit, International Joint Conference on Neural Networks, IJCNN 2007, Orlando, Florida, August 2007
• J.H.B.Wijekoon and P.Dudek, A simple analogue VLSI circuit of a cortical neuron, IEEE International Conference on Electronics, Circuits and Systems, ICECS 2006, pp.1344-1347, December 2006
• Wennekers, T.: A cell assembly model for complex behaviour. Neurocomputing 70, 1988-1992, 2007.

Book Chapters

• G. Basalyga, P. M. Gleiser and T. Wennekers: Emergence of small-world structure in networks of spiking neurons through STDP plasticity. In: From Brains to Systems: Brain-Inspired Cognitive Systems 2010. Hernandez C. et al.(editors). Advances in Experimental Medicine and Biology, volume 718, chapter 4. Springer New York, pp. 33-39, 2011.
  
• Emili Balaguer-Ballester, Nicholas R. Clark, Martin Coath, Katrin Krumbholz and Susan L. Denham: Understanding Pitch Perception as a Hierarchical Process with Top-Down Modulation. In: The Neurophysiological Bases of Auditory Perception. Springer New York, pp 201-209, 2010.
  
• Wennekers, T. and Palm, G.: Modelling generic cognitive functions with operational Hebbian cell assemblies. In: Neural Network Research Horizons. M.L. Weiss (ed.). Nova Science Publishers. pp 225-294, 2007.

Posters

• G. Basalyga, M. A. Montemurro and T. Wennekers. Phase-of-firing information coding in laminar cortical architecture. BMC Neuroscience, 12, Suppl 1: P369, 2011.
• G. Basalyga and T. Wennekers. Large-Scale Computational Model of Cat Primary Visual Cortex, BMC Neuroscience, 10, Suppl 1, P358, 2009.
• T. Wennekers. Formal concepts expressed by compositional hierarchical Hebbian cell assemblies. CNS 2009.
  
• J.M. Cortes, T.J. Sejnowski and M.C.W. van Rossum. Reverse Engineering: weight dynamics consistent with weight distributions. Society for Neuroscience Meeting 2007.
• D. Marinazzo, J.M. Cortes, M. Postlethwaite and W.H. Henning. Multiple time scales in synaptic depression. Society for Neuroscience Meeting 2007.