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

 

Publications

  1. Salvador Dura-Bernal, Thomas Wennekers, and Susan Denham
    A model of object perception in cortex based on Bayesian networks and belief propagation.
    Submitted.

  2. Gleb Basalyga, Marcelo Montemurro, Thomas Wennekers
    Information Coding in the Laminar Computational Model of Cat Primary Visual Cortex.
    Submitted.

  3. Gleb Basalyga, Marcelo Montemurro, Thomas Wennekers
    Phase-of-firing information coding in laminar cortical architecture.
    BMC Neuroscience 2011, 12(Suppl 1):P369 (Abstract, CNS2011)
    PDF File (245kBytes)

  4. Lucy Anne Davies, Jose A Garcia-Lazaro, Jan Schnupp, Thomas Wennekers, and Susan L Denham
    Tell me something interesting: Context dependent adaptation in somatosensory cortex.
    Journal of Neuroscience Methods, in press.

  5. Salvador Dura-Bernal, Guillaume Garreau, Charalambos Andreou, Andreas Andreou, Julius Georgiou, Thomas Wennekers, and Susan Denham
    Human action categorization using ultrasound micro-Doppler signatures.
    Submitted.
    PDF File (2.3MBytes)

  6. Susan Denham, Alexandra Bendixen, Robert Mill, Denes Toth, Thomas Wennekers, Martin Coath, Tamas Bohm, Orsolya Szalardy, Istvan Winkler
    Characterising Switching Behaviour in Perceptual Multistability
    Submitted to Journal of Neuroscience Methods.

  7. Guillaume Garreau, Charalambos M. Andreou, Andreas G. Andreou, Julius Georgiou, Salvador Dura-Bernal, Thomas Wennekers and Sue Denham
    Gait-based Person And Gender Recognition Using Micro-Doppler Signatures
    Accepted at BioCAS 2011, San Diego.
    PDF File (1.8MBytes)

  8. Martin Coath, Sadique Sheik, Elizabetta Chicca, Giacomo Indiveri, Susan L. Denham, and Thomas Wennekers
    The classification of auditory stimuli in a recurrently connected network of spiking neurons.
    Submitted.
    PDF File (195kBytes)

  9. Eckehard Olbrich, Peter Achermann, and Thomas Wennekers
    The sleeping brain as a complex system.
    Philosophical Transactions of the Royal Society A, in press.
    PDF File (195kBytes)

  10. Julius Georgiou, Philippe Pouliquen, Andrew Cassidy, Guillaume Garreau, Charalambos Andreou, Guillermo Stuarts, Cyrille d’Urbal, Andreas G. Andreou, Susan Denham, Thomas Wennekers, Robert Mill, Istvan Winkler, Tamas Bohm, Orsolya Szalardy, Georg M. Klump, Simon Jones, Alexandra Bendixen
    A Multimodal-Corpus Data Collection System for Cognitive Acoustic Scene Analysis
    Submitted.

  11. Mill, R., Coath, M., Wennekers, T., and Denham, S.L.
    Characterising Stimulus-Specific Adaptation Using a Multi-Layer Field Model.
    Brain Research, in press.
    PDF File (1.3MBytes)

  12. Coath, M., Mill, R., Denham, S., and Wennekers, T.
    Is Cortical Modulation of Thalamus Responsible for the Emergence of Stimulus Feature Sensitivity? A Computational Study of Plasticity in the Auditory Thalamocortical Network.
    Submitted.
    PDF File (560kBytes)

  13. Dura-Bernal, S.; Wennekers, T. and Denham, S.L.
    Modelling object perception in cortex: hierarchical Bayesian networks and belief propagation.
    Accepted at Conference on Information Sciences and Systems, CISS2011, Baltimore, 23-25 March 2011.
    PDF File (655kBytes)

  14. Adams, S.V.; Wennekers, T.; Bugmann, S.; Denham, S.; Culverhouse, P.F.
    A Sensori-Motor Model of Arachnid Prey Localisation
    Neurocomputing, in press.
    PDF File (670kBytes)

  15. Mill, R.; Coath, M.; Wennekers, T. and Denham, S.
    A Neurocomputational Model of Stimulus-Specific Adaptation to Oddball and Markov Sequences.
    PLoS Computational Biology, in press.
    PDF File (412kBytes)

  16. Rumbell, T.; Barnden, J.; Denham, S. and Wennekers, T.
    Emotions in Autonomous Agents - Comparative Analysis of Mechanisms and Functions.
    Autonomous Agents and Multi-Agent Systems, in press, 2011
    PDF File (1.2MBytes)

  17. 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)

  18. Mill, R.; Coath, M.; Wennekers, T. and Denham, S.
    Abstract Stimulus-Specific Adaptation Models
    NeuralComputation. 23, 435-76, 2010.
    PDF File (582kBytes)

  19. 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)

  20. 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)

  21. 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)

  22. 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)

  23. 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 (712kBytes)

  24. Wennekers, T.; Palm, G.
    Syntactic Sequencing in Hebbian Cell Assmblies
    Journal of Cognitive Neurodynamics, 3, 429-441, 2009; DOI 10.1007/s11571-009-9095-z.
    PDF File (200kBytes)

  25. 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.

  26. Cutsuridis, V.; Wennekers, T.
    Hippocampus, Microcircuits and Associative Memory
    Neural Networks 22, 1120-1128, 2009; doi:10.1016/j.neunet.2009.07.009.
    PDF File (2.6MBytes)

  27. 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)

  28. 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)

  29. 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 (2.5MBytes)

  30. 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)

  31. 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)

  32. 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)

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

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

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

  36. 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)

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

  38. 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)

  39. 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)

  40. 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).

  41. 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)

  42. 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.

  43. 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)

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

  45. 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)

  46. 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)

  47. 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)

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

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

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

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

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

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

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

  55. 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)

  56. 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)

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

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

  59. 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)

  60. 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)

  61. 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)

  62. 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)

  63. 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)

  64. 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)

  65. Sommer, F.T. and Wennekers, T.:
    Associative Memory in networks of spiking neurons.
    Neural Networks 14 (6-7), 825-834, 2001.
    Gnuzipped PostScript File (175kBytes)

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

  67. 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)

  68. 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)

  69. 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)

  70. 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)

  71. 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)

  72. 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)

  73. 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)

  74. 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)

  75. 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)

  76. 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)

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

  78. 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)

  79. 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)

  80. 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)

  81. 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)

  82. 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)

  83. 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)

  84. 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)

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

  86. 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)

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

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

  89. 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)

  90. 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)

  91. 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)

  92. 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)

  93. 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)

  94. 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

  95. 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)

  96. 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)

  97. Wennekers, Th. and Giersch, Ch.:
    Sensitivity analysis of a simple model food chain.
    Ecological Modelling, 54:265-276, 1991.
    PDF File (2.5MBytes)

 
   

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