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University of Plymouth | Centre for Theoret. and Comput. Neuroscience | Home   

 

Publications

  1. Rumbell, T.; Barnden, J.; Denham, S. and Wennekers, T.
    A Generic Framework for the Analysis of Emotion Mechanisms in Autonomous Agents.
    Under review.

  2. Adams, S.V.; Culverhouse, P.F; Wennekers, T.; Bugmann, S. and Denham, S.
    A Sensori-Motor Model of Arachnid Prey Localisation
    Accepted at TAROS 2010.
    PDF File (330kBytes)

  3. Mill, R.; Coath, M.; Wennekers, T. and Denham, S.
    Abstract Stimulus-Specific Adaptation Models
    Neural Computation, in press.

  4. 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.
    PDF File (4.2MBytes)

  5. 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.
    PDF File (272kBytes)

  6. 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.
    PDF File (3.6MBytes)

  7. 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.
    PDF File (384kBytes)

  8. 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.
    PDF File (680kBytes)

  9. Wennekers, T.; Palm, G.
    Syntactic Sequencing in Hebbian Cell Assmblies
    Journal of Cognitive Neurodynamics, in press, DOI 10.1007/s11571-009-9095-z.
    PDF File (200kBytes)

  10. 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; doi:10.1016/j.neunet.2009.07.006.

  11. Cutsuridis, V.; Wennekers, T.
    Hippocampus, Microcircuits and Associative Memory
    Neural Networks 22, 1120-1128, 2009; doi:10.1016/j.neunet.2009.07.009.

  12. Garagnani, M.; Wennekers, T.; Pulvermuller, F:
    Recruitment and consolidation of cell assemblies for words by way of Hebbian learning and competition in a multi-layer neural network.
    Journal of Cognitive Computation 1, 160-176, 2009; DOI 10.1007/s12559-009-9011-1.
    PDF File (1.4MBytes)

  13. 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; DOI 10.1007/s12559-008-9004-5.
    PDF File (320kBytes)

  14. Symes, A. and Wennekers, T.:
    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 2, 1079--1092, 2009; doi:10.1016/j.neunet.2009.07.017.
    PDF File (1.6MBytes)

  15. Wennekers, T.:
    Tuned solutions in dynamic neural fields as building blocks for extended EEG models.
    Journal of Cognitive Neurodynamics, 2, 137-146, 2008.
    PDF File (302kBytes)

  16. Garagnani, M.; Wennekers, T.; Pulvermuller, F:
    A neuroanatomically grounded Hebbian-learning model of attention-language interactions in the human brain.
    European Journal of Neuroscience 27, 492-513, 2008.
    PDF File (1.1MB)

  17. 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.
    PDF File (489kBytes)

  18. Garagnani, M.; Wennekers, T.; Pulvermuller, F.:
    A neuronal model of the language cortex.
    Neurocomputing 70, 1914-1919, 2007.
    PDF File (332kBytes)

  19. Wennekers, T.:
    A cell assembly model for complex behaviour.
    Neurocomputing 70, 1988-1992, 2007.
    PDF File (513kBytes)

  20. Olbrich, E.; Wennekers, T.:
    Dynamics of parameters of neurophysiological models from phenomenological EEG modelling.
    Neurocomputing 70, 1848-1852, 2007.
    PDF File (923kBytes)

  21. Wennekers, T.; Ay, N. and Andras, P.:
    High-resolution multiple-unit EEG in cat neocortex reveals large spatio-temporal stochastic interactions.
    BioSystems 89, 190--197, 2007
    PDF File (163kBytes)

  22. Andras, P.; Wennekers, T.:
    Cortical Activity Pattern Computation.
    BioSystems 87, 179-185, 2007.
    PDF File (83kBytes)

  23. Wennekers, T.; Garagnani, M. and Pulvermuller, F.:
    Language Models based on Hebbian Cell Assemblies.
    Journal of Neuroscience (Paris) 100, 16-30, 2006.
    PDF File (356kBytes)

  24. Wennekers, T.:
    Operational cell assemblies as a paradigm for brain-inspired future computing architectures
    Neural Information Processing - Letters and Reviews 10, 135-145, 2006.
    PDF File (536kBytes)

  25. Garagnani, M.; Wennekers, T. and Pulvermuller, F. :
    A Neuronal Model of the Language Cortex.
    In "Cognitive Neuroscience Society - 2006 Annual Meeting - supplement of the Journal of Cognitive Neuroscience", page 98, copyrights by the Cogn. Neurosc. Society (Serial number: ISSN 1096-8857).

  26. Wennekers, T.; Ay N.:
    A temporal learning rule in recurrent systems supports high spatio-temporal stochastic interactions.
    Neurocomputing 69, 1199-1202, 2006.
    PDF File (165kBytes)

  27. Andras, P.; Wennekers, T.:
    Cortical Activity Pattern Computation.
    Proceedings of the 6th International Workshop on Information Processing in Cells and Tissues, IPCAT 2005, August 30 - September 1, St Williams College, York, United Kingdom.

  28. Wennekers, T.; Ay, N.:
    Finite state automata resulting from temporal information maximization and a temporal learning rule.
    Neural Computation 17, 2258-2290, 2005.
    PDF File (290kBytes)

  29. Wennekers, T.; Ay N.:
    Stochastic interaction in associative nets.
    Neurocomputing 65-66, 387-392, 2005
    PDF File (140kBytes)

  30. Sommer, F.; Wennekers, T.:
    Synfire chains with conductance-based neurons: internal timing and coordination with timed input.
    Neurocomputing 65-66, 449-454, 2005.
    PDF File (372kBytes)

  31. Wennekers, T.; Palm, G.:
    Kognitive Modellierung mit kunstlichen neuronalen Netzen. (In German)
    To appear in: T.Goschke, M.Eimer (eds.) Enzyklopadie der Psychologie. Band C/II/8 - Kognitive Neurowissenschaft. Hogrefe-Verlag, Gottingen, Bern, Toronto, Seattle.
    Gnuzipped PostScript File (182kBytes)
    PDF File (388kBytes)

  32. Wennekers.T; Suder, K.:
    Fitting of spatio-temporal receptive fields by sums of Gaussian components.
    Neurocomputing 58-60, 929-934, 2004.
    Gnuzipped PostScript File (134kBytes)

  33. Wennekers, T.; Ay N.:
    Finite State Automata Resulting from Temporal Information Maximization.
    Santa Fe Institute Working Paper 04-01-001, 2004.
    PDF File (400kBytes)

  34. Wennekers. T.:
    Separation of spatio-temporal receptives fields into sums of Gaussians components.
    Journal of Computational Neuroscience 16, 27-38, 2004.
    PDF File (207kBytes)

  35. Ay, N.; Wennekers, T.:
    Komplexitat kognitiver Systeme. (In German)
    In: Jahrbuch der Max-Planck Gesellschaft 2003.
    HTML Text.

  36. Ay, N.; Wennekers, T.:
    Dynamical Properties of Strongly Interacting Markov Chains.
    Neural Networks 16, 1483-1497, 2003.
    PDF File (343kBytes)

  37. Hutt, A.; Bestehorn, M.; Wennekers, T.:
    Pattern Formation in Intracortical Neuronal Fields.
    Network: Computation in Neural Systems 14, 351-368, 2003.
    PDF File (519kBytes)

  38. Wennekers,T.;  Sommer, F.;  and Aertsen, A. (editors):
    Neuronal Assemblies.
    Special Issue of Theory in Biosciences 122, 1-104, 2003.

  39. Wennekers, T.; Ay, N.:
    Spatial and Temporal Stochastic Interaction in Neuronal Assemblies.
    Theory in Biosciences 122, 5-18, 2003.
    Gnuzipped PostScript File (113kBytes)

  40. Sommer, F.; T.Wennekers, T.:
    Models of distributed associative memory networks in the brain.
    Theory in Biosciences 122, 55-69, 2003.
    Gnuzipped PostScript File (94kBytes)

  41. Wennekers, T.; Ay, N.:
    Temporal Infomax on Markov Chains with Input Leads to Finite State Automata.
    Neurocomputing 52--54, 431-436, 2003.
    PDF File (259kBytes)

  42. Ay, N.; Wennekers, T.:
    Temporal Infomax Leads to Almost Deterministic Dynamical Systems.
    Neurocomputing 52-54, 461--466,2003.
    PDF File (272kBytes)

  43. Wennekers, T.:
    Dynamic approximation of spatio-temporal receptive fields in nonlinear neural field models.
    Neural Computation 14 (8): 1801-1825, 2002.
    PDF File (571kBytes)

  44. Suder, K.; Funke, K.; Zhao, Y.; Kerscher, N.; Wennekers, T.; Worgotter, F.:
    Spatial dynamics of receptive fields in cat primary visual cortex related to the temporal structure of thalamo-cortical feedforward activity - experiments and models.
    Experimental Brain Research 144 (4): 430-444, 2002.
    PDF File (175kBytes)

  45. Wennekers, T.:
    Nonlinear Analysis of Spatio-temporal Receptive Fields: I.Dynamic Approximation Method.
    Computational Neuroscience Conference,  CNS 2001, Monterey, CA.
    Neurocomputing 44-46, 201-206, 2002.
    PDF File (92kBytes)

  46. Wennekers, T.:
    Nonlinear Analysis of Spatio-temporal Receptive Fields: II.Dynamic Properties of V1 Simple Cells.
    Computational Neuroscience Conference, CNS 2001, Monterey, CA.
    Neurocomputing 44-46, 207-212, 2002.
    PDF File (147kBytes)

  47. Wennekers, Th.:
    Nonlinear Analysis of Spatio-temporal Receptive Fields: III. RF-Reconstruction from Meanfield Approximations.
    Computational Neuroscience Conference,; CNS 2001, Monterey, CA.
    Neurocomputing 44-46, 213--218, 2002.
    PDF File (132kBytes)

  48. Wennekers, T.:
    Nonlinear Analysis of Spatio-temporal Receptive Fields: IV. Generic Tuning Properties for Rectifying Rate Functions.
    Computational Neuroscience Conference, CNS 2001, Monterey, CA.
    Neurocomputing 44-46, 219-223, 2002.
    PDF File (77kBytes)

  49. Knoblauch,A.;  Wennekers, T.; Sommer, F.T.:
    Is Voltage Dependent Synaptic Transmission in NMDA Receptors a Robust Mechanism for Working Memory?
    Computational Neuroscience Conference,  CNS 2001, Monterey, CA.
    Neurocomputing 44-46, 19-24, 2002.
    PDF File (271kBytes)

  50. Sommer, F.T. and Wennekers, T.:
    Associative Memory in networks of spiking neurons.
    Neural Networks 14 (6-7), 825-834, 2001.
    Gnuzipped PostScript File (183kBytes)

  51. Wennekers, T.:
    On generic steady and dynamic tuning properties in neural field models with rectifying rate functions.
    MPI-MIS preprint No. 32, 2001.

  52. Wennekers, T.:
    Orientation tuning properties of simple cells in Area V1 derived from an approximate analysis of nonlinear neural field models.
    Neural Computation 13 (8), 1721-1747, 2001.
    PDF File (286kBytes)

  53. Sommer, F.T. and Wennekers, T.:
    Associative memory in a pair of cortical cell groups with reciprocal connections.
    Computational Neuroscience Meeting CNS 2000 , Brugge, Belgium, July 2000.
    Neurocomputing 38, 1575-1580, 2001.
    Gnuzipped PostScript File (preprint, 55kBytes)

  54. Wennekers, T.:
    Nonlinear analysis of orientation tuning: stationary properties of simple cells in V1.
    Computational Neuroscience Meeting CNS 2000 , Brugge, Belgium, July 2000.
    Neurocomputing 38, 439-444, 2001.
    Gnuzipped PostScript File (207kBytes)

  55. Wennekers, T.; Pasemann, F.:
    Generalized Types of Synchronization in Networks of Spiking Neurons.
    Computational Neuroscience Meeting CNS 2000, Brugge, Belgium, July 2000.
    Neurocomputing 38, 1037-1042, 2001.
    Gnuzipped PostScript File (275kBytes)

  56. Suder, K.; Worgotter, F.; Wennekers, T.:
    Neural field model of receptive field restructuring in primary visual cortex.
    Neural Computation 13, 139-159, 2001.
    PDF File (402kBytes)

  57. Sommer, F.T. and Wennekers, T.:
    Modeling studies on the computational function of fast temporal structure in cortical circuit activity.
    Journal of Physiology (Paris) 94, 473-488, 2000.
    Gnuzipped PostScript File (275kBytes)

  58. Pasemann, F.; Wennekers, T.:
    Generalized and Partial Synchronization of Coupled Neural Networks.
    Network: Computation in Neural Systems 11, 41-61, 2000.
    Gnuzipped PostScript File (394kBytes)

  59. Wennekers, Th.; Palm, G.:
    Cell Assemblies, Associative Memory and Temporal Structure in Brain Signals.
    In: Miller, R. (ed.) Time and the Brain. Series: CABR: Conceptual Advances in Brain Research, vol. 3, pp. 251-273, Harwood Academic Publishers, 2000.
    PDF File (281kBytes) | Gnuzipped PostScript File (132kBytes)

  60. Suder, K.; Worgotter, F.; Wennekers, T.:
    Neural Field Description of State-Dependent Visual Receptive Field Changes.
    Proc. of the 8th Computational Neuroscience Meeting CNS 99, Pittsburgh, July 1999.
    Neurocomputing 32, 545-551, 2000.
    PDF File (214kBytes)

  61. Wennekers, T.:
    Dynamics of spatio-temporal patterns in associative networks of spiking neurons.
    (Proc. of the 8th Computational Neuroscience Meeting CNS 99, Pittsburgh, July 1999.)
    Neurocomputing 32, 597-602, 2000.
    PDF File (113kBytes)

  62. Pasemann, F.; Wennekers, T.:
    Complete Synchronization in Coupled Neuromodules of Different Types.
    Theory in Biosciences, 118:267-283, 1999.
    Gnuzipped PostScript File (preprint, 132kBytes)

  63. Suder, K.; Worgotter, F.; Funke, K.; Wennekers, T.:
    Neural Field Description of State-Dependent Receptive Field Restructuring in the Visual Cortex.
    International Neuroscience Conference, Miami, 1999.
    Gnuzipped PostScript File (abstract, 14kBytes)

  64. Suder, K.; Worgotter, F.; Wennekers, T.:
    Neural Field Description Suggests Feedforward Mechanism of State-Dependent Visual Receptive Field Changes.
    Proceedings of the Ninth International Conference on Artificial Neural Networks ICANN 99, Edinburgh, 7-10 Sept. 1999. IEE Conference Publication No.470, pp 67--72.
    Gnuzipped PostScript File (preprint, 131kBytes)

  65. Wennekers, T.:
    Analysis of spatio-temporal patterns in associative networks of spiking neurons.
    Proceedings of the Ninth International Conference on Artificial Neural Networks ICANN 99, Edinburgh, 7-10 Sept. 1999. IEE Conference Publication No.470, pp 245-250.
    Gnuzipped PostScript File (preprint, 71kBytes)

  66. Suder, K.; Worgotter, F.; Wennekers, T.:
    Neural Field Description of State-Dependent Receptive Field Changes in the Visual Cortex.
    In: M.Verleysen (ed.): Proc. of the 7th European Symposium in Artifical Neural Networks, ESANN'99. D-Facto, Brussels, 1999, pp. 171-176.
    Gnuzipped PostScript File (preprint, 87kBytes)

  67. Wennekers, T.:
    Synchronisation und Assoziation in Neuronalen Netzen.
    PhD-Thesis in Computer Science (in German) at the Department of Neural Information Processing, University of Ulm, Germany.
    Shaker-Verlag, Aachen, 1999.
    PDF file (preprint, 1.5MBytes)

  68. Wennekers, T. and Sommer, F.T.:
    Gamma-oscillations support optimal retrieval in associative memories of two-compartment neurons.
    Neurocomputing 26-7, 573-578, 1999.
    (Proceedings of the Computational Neuroscience Meeting, CNS98, Santa Barbara, CA, July 25-30, 1998.)
    PDF File (119 kBytes)

  69. Wennekers, T. and Palm G.:
    How Imprecise is Neuronal Synchronization?
    Neurocomputing 26-7, 579-585, 1999.
    (Proceedings of the Computational Neuroscience Meeting, CNS98, Santa Barbara, CA, July 25-30, 1998.)
    PDF File (240kBytes)

  70. Wennekers, T.
    Synfire Graphs: From Spike Patterns to Automata of Spiking Neurons.
    Ulmer Informatik Berichte Nr. 98-8, Fakultat fur Informatik, Universitat Ulm, 1998.

  71. Sommer, F.T.; Wennekers, Th.; Palm, G.:
    Bidirectional completion of cell assemblies in the cortex.
    In: J.M.Bower (ed) Computational Neuroscience: Trends in Research. Plenum Press, New York, 1998.
    (Proceedings of the Computational Neuroscience Conf., CNS97, Big Sky, MT.)
    Gnuzipped PostScript File (77kBytes)

  72. Palm, G.; Wennekers, T.:
    Synchronicity and its use in the brain.
    Behavioral and Brain Sciences 20:695-696, 1997.

  73. Wennekers, T.:
    Asymptotik rekurrenter neuronaler Netze mit zufalligen Kopplungen.
    Ulmer Informatik Berichte Nr. 97-15, Fakultat fur Informatik, Universitat Ulm, 1997.

  74. Wennekers, T. and Palm G.:
    On the relation between neural modelling and experimental neuroscience.
    Theory in Biosciences 116:267-283,1997.
    Gnuzipped PostScript File (67kBytes)

  75. Wennekers, T. and Palm, G.:
    Controlling the speed of synfire chains.
    In: C. von der Malsburg et al. (eds.) Artificial Neural Networks - ICANN 96. International Conference, Bochum, Germany, July 1996, Proceedings. Lecture Notes in Computer Science, Vol.1112, Springer, Berlin, 1996, pages 451-56.
    Gnuzipped PostScript File (51kBytes)

  76. Bibbig, A. and Wennekers, Th.:
    Hippocampal two-stage Learning and Memory Consolidation.
    In: Proceedings of the 13th European Meeting on Cybernetics and Systems Research, Vienna, 1996.
    Gnuzipped PostScript File (132kBytes)

  77. Wennekers, Th. and Pasemann, F.:
    Synchronous Chaos in Highdimensional Modular Neural Networks.
    International Journal of Bifurcation and Chaos 6:2055-2067, 1996.
    Gnuzipped PostScript File (150kBytes)

  78. Bibbig, A., Wennekers, Th., Palm, G.:
    A Neural Network Model of the Cortico-Hippocampal Interplay: Contexts and Generalization.
    In 'Proceedings of the First International IEEE Symposium on Intelligence in Neural and Biological Systems', 1995.
    Gnuzipped PostScript File (67kBytes)

  79. Bibbig, A., Wennekers, Th., Palm, G.:
    A Neural Network Model of the Cortico-Hippocampal Interplay: Contexts and Generalization.
    Engineering Applications of Artificial Intelligence, 9 (2), 145-151, 1996.
    Gnuzipped PostScript File

  80. Bibbig, A., Wennekers, Th., Palm, G.:
    Neural Network Model of the Cortico-Hippocampal Interplay and the Representation of Contexts.
    Behavioral and Brain Research 66, 169-175, 1995.
    PDF File (423kBytes)

  81. Wennekers, Th., Sommer, F.T., Palm, G.
    Iterative Retrieval in Associative Memories by Threshold Control of Different Neural Models.
    In: Herrmann, H.J.; Wolf, D.E.; Poppel, E (eds.)  'Supercomputing in Brain Research', World Scientific Publishing, 1995, pp. 301-319.
    Gnuzipped PostScript File (92kBytes)

  82. Wennekers, Th. and Giersch, Ch.:
    Sensitivity analysis of a simple model food chain.
    Ecological Modelling, 54:265-276, 1991.
 
   

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