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Thomas WennekersThomas Wennekers
Role Reader in Computational Neuroscience at the Centre for Theoretical and Computational Neuroscience (CTCN) Supervision of PhD students (3 as DoS, 5 as 2cd, 1 external) System Administrator of COLAMN Computer Cluster (http://helen.pion.ac.uk/colamn) CTCN Postgraduate Research Coordinator Faculty IT Committee member for CTCN
Qualifications & background Research Experience
11/03 - now Reader in Computational Neuroscience, Centre for Theoretical and Computational Neuroscience, University of Plymouth, UK
04/03 - 11/03 Juniorprofessor in Theoretical Neuroscience, Institute for Neuroinformatics, Ruhr-University Bochum, Germany
01/99 - 03/03 Research Assistant, Max Planck Institute for Mathematics in the Sciences, Leipzig, Germany
1991 - 12/98 PhD-Student, then Postdoc, Department for Neural Information Processing, University of Ulm, Germany
1990 - 1991 Operating System Programmer, Vogt-Institute for Brain Research, Heinrich-Heine-University, Dusseldorf, Germany
Education
July 7, 1998 PhD in Computer Science (Dr.rer-nat.) Faculty of Computer Science, University of Ulm, Germany Topic:Synchronization and Association in Neural Networks
Supervisor: Prof Gunther Palm
1992 - 98 Education in Neuroscience as PhD-Student in a DFG-funded research initiative "Physiology and Theory of Neural Networks"
1991 - 93 Studies of Computer Science, University of Ulm, Germany Jan. 1, 1991 Diploma in Physics (Dipl.Phys.) Faculty of Physics, Heinrich-Heine-University, Dusseldorf, Germany Topic: Stability in Neural Networks
Supervisor: Prof Gunther Palm
1983 - 91 Studies of Physics, Heinrich-Heine-University, Dusseldorf, Germany
1982 - 83 Military Service
June 22, 1982 Abitur, Kooperative Gesamtschule Altenkirchen/Westerwald, Germany
Teaching interests Computational and Theoretical Neuroscience; Dynamical Systems Approach to Neural and Cognitive Systems.
I am module leader of: CTCN 3311 - Brain-Inspired Cognitive Systems (with Chris Harris and Sue Denham) CTCN 5104 - Neural Computation CTCN 5205 - Computational Models of Cognitive Functions Research interests Computational neuroscience
* Gamma-oscillations and spike synchronization * Dynamics of spatio-temporal receptive fields * Spatio-temporal spike patterns, synfire chains
Mathematical neuroscience
* Biophysical, dynamical and computational properties of spiking neuron models * Neural field equations * Dimension reduction in neural networks
Brain theory
* Hebbian cell assemblies and associative memories * Concept and similarity structure in cortical representations * General principles of high level information processing
Grants & contracts 09/08 SCANDLE - Acoustic Scene Analysis for Detecting Living Entities. EU ICT STREP, 2.4MEuro. PI: Dr Sue Denham (CTCN Plymouth). 03/08 Royal Society Incoming Visitors Grant for a visit of UoP and the CTCN by Prof Guenther Palm (Ulm, Germany) 11/07 Workshop and Seminar Grant ``Complex Dynamics in Large-Scale Interacting Brain Systems'', Dresden, 2009, by the Max Planck Institute for the Physics of Complex Systems, Dresden, Germany. Together with Peter Achermann (Z{\"u}rich) and Eckehard Olbrich (MPI-MIS, Leipzig). More info at http://helen.pion.ac.uk/dresden09 01/07 Workshop Grant (Spike Train Metrics, Plymouth Jan 2007) by The University of Newcastle, UK. 06/06 UK-Spiketrain Workshop participation grant; University of Newcastle, UK 11/05 Guest Lecturership granted by the University of Havana, Cuba 06/05-05/10 EPSRC grant EP/C010841/1. 2004 Travel award by the Royal Society Publications
# T. Wennekers. Hebbian Cell Assemblies. Invited Review for the Inaugural Issue of the new Journal of Cognitive Computation, 2009. # T. Wennekers. Tuned solutions in dynamic neural fields as building blocks for extended EEG models. Journal of Cognitive Neurodynamics 2, 137-146, 2008. # Garagnani, M; Wennekers, T.; Pulvermuller, F: Neuroanatomically grounded Hebbian-learning of attention-language interactions in the human brain. European Journal of Neuroscience 27, 492-513, 2008. # 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. # Garagnani, M.; Wennekers, T.; Pulvermuller, F.: A neuronal model of the language cortex. Neurocomputing 70, 1914-1919, 2007. # Wennekers, T.: A cell assembly model for complex behaviour. Neurocomputing 70, 1988-1992, 2007. # Olbrich, E.; Wennekers, T.: Dynamics of parameters of neurophysiological models from phenomenological EEG modelling. Neurocomputing 70, 1848-1852, 2007. # 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 # Andras, P., Wennekers, T.: BioSystems 87, 179-185, 2007. # Wennekers, T.: Operational cell assemblies as a paradigm for brain-inspired future computing architectures Neural Information Processing - Letters and Reviews 10, 135-145, 2006. # Wennekers, T.; Ay N.: A temporal learning rule in recurrent systems supports high spatio-temporal stochastic interactions. Neurocomputing 69, 1199-1202, 2006. # Wennekers, T.; Garagnani, M; Pulvermueller, F.: Language Models based on Hebbian Cell Assmblies Journal of Neurophysiology (Paris) 100, 16--30, 2006. # Wennekers, T.; Operational cell assemblies as a paradigm for brain-inspired future computing architectures. Neural Information processing Systems - Letters and Reviews 10, 135-145, 2006. # Wennekers, T.; Ay, N.:
Finite state automata resulting from temporal information maximization and a temporal learning rule. Neural Computation 17, 2258--2290, 2005
Separation of spatio-temporal receptives fields into sums of Gaussians component. Journal of Computational Neuroscience 16, 27-38, 2004.
Dynamical Properties of Strongly Interacting Markov Chains. Neural Networks 16, 1483-1497, 2003.
Pattern Formation in Intracortical Neuronal Fields. Network: Computation in Neural Systems 14, 351-368, 2003.
Dynamic approximation of spatio-temporal receptive fields in nonlinear neural field models. Neural Computation 14 (8): 1801-1825, 2002.
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.
Associative Memory in networks of spiking neurons. Neural Networks 14 (6-7), 825-834, 2001.
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.
Neural field model of receptive field restructuring in primary visual cortex. Neural Computation 13, 139-159, 2001.
Modeling studies on the computational function of fast temporal structure in cortical circuit activity. Journal of Physiology (Paris) 94, 473-488, 2000.
Generalized and Partial Synchronization of Coupled Neural Networks. Network: Computation in Neural Systems 11, 41-61, 2000.
Reports & invited lectures Conferences organised # 06/09 Scientific Organiser of a Workshop and Seminar on "Complex dynamics in large-scale interacting brain networks: Towards physical models of sleep and consciousness" (Organisers: Peter Achermann, Eckehard Olbrich, Thomas Wennekers): 8-25.06.2009, Max Planck Institute for the Physics of Complex Systems, Dresden, Germany. # 09/08 1st COLAMN Workshop on Cortical Microcircuits. Wolfson Institute, UCL, London. # 07/07 Program Committee of the International Workshop on "What it means to communicate": September 13, 2007, Ipanema Park Hotel, Porto, Portugal. Held in conjunction with ICANN 2007. http://www.his.sunderland.ac.uk/nestcom/workshop/porto/index.html # 01/07 Workshop on "Spike Train Metrics" (organiser, with L.Smith, Stirling), University of Plymouth, UK.
Links
Centre for Theoretical and Computational Neuroscience website:
Private homepage: |
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