Thomas Wennekers
Thomas Wennekers
Reader in Computational Neuroscience, The University of Plymouth
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A neuroanatomically grounded Hebbian‐learning model of attention–language interactions in the human brain
M Garagnani, T Wennekers, F Pulvermüller
European Journal of Neuroscience 27 (2), 492-513, 2008
Pattern formation in intracortical neuronal fields
A Hutt, M Bestehorn, T Wennekers
Network: Computation in Neural Systems 14 (2), 351, 2003
Language models based on Hebbian cell assemblies
T Wennekers, M Garagnani, F Pulvermüller
Journal of Physiology-Paris 100 (1-3), 16-30, 2006
Associative memory in networks of spiking neurons
FT Sommer, T Wennekers
Neural networks 14 (6-7), 825-834, 2001
Thinking in circuits: toward neurobiological explanation in cognitive neuroscience
F Pulvermüller, M Garagnani, T Wennekers
Biological cybernetics 108 (5), 573-593, 2014
Brain connections of words, perceptions and actions: a neurobiological model of spatio-temporal semantic activation in the human cortex
R Tomasello, M Garagnani, T Wennekers, F Pulvermüller
Neuropsychologia 98, 111-129, 2017
Hippocampus, microcircuits and associative memory
V Cutsuridis, T Wennekers
Neural Networks 22 (8), 1120-1128, 2009
A neurocomputational model of stimulus-specific adaptation to oddball and Markov sequences
R Mill, M Coath, T Wennekers, SL Denham
PLoS computational biology 7 (8), e1002117, 2011
Cell assemblies, associative memory and temporal structure in brain signals
T Wennekers, G Palm
Time and the Brain, 309-335, 2000
Recruitment and consolidation of cell assemblies for words by way of Hebbian learning and competition in a multi-layer neural network
M Garagnani, T Wennekers, F Pulvermüller
Cognitive Computation 1 (2), 160-176, 2009
From structure to activity: Using centrality measures to predict neuronal activity
JMK Fletcher, T Wennekers
International journal of neural systems 28 (02), 1750013, 2018
A neuronal model of the language cortex
M Garagnani, T Wennekers, F Pulvermüller
Neurocomputing 70 (10-12), 1914-1919, 2007
Dynamical properties of strongly interacting Markov chains
N Ay, T Wennekers
Neural networks 16 (10), 1483-1497, 2003
Emotions in autonomous agents: comparative analysis of mechanisms and functions
T Rumbell, J Barnden, S Denham, T Wennekers
Autonomous Agents and Multi-Agent Systems 25 (1), 1-45, 2012
A neural network model of the cortico-hippocampal interplay and the representation of contexts
A Bibbig, T Wennekers, G Palm
Behavioural brain research 66 (1-2), 169-175, 1995
A spiking self-organizing map combining stdp, oscillations, and continuous learning
T Rumbell, SL Denham, T Wennekers
IEEE transactions on neural networks and learning systems 25 (5), 894-907, 2013
Syntactic sequencing in Hebbian cell assemblies
T Wennekers, G Palm
Cognitive Neurodynamics 3 (4), 429-441, 2009
Controlling the speed of synfire chains
T Wennekers, G Palm
International Conference on Artificial Neural Networks, 451-456, 1996
Top-down feedback in an HMAX-like cortical model of object perception based on hierarchical Bayesian networks and belief propagation
S Dura-Bernal, T Wennekers, SL Denham
PloS one 7 (11), e48216, 2012
Finite state automata resulting from temporal information maximization and a temporal learning rule
T Wennekers, N Ay
Neural computation 17 (10), 2258-2290, 2005
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