Thomas Wennekers

According to our database1, Thomas Wennekers authored at least 67 papers between 1996 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


Online presence:



On the Importance of the Newborn Stage When Learning Patterns with the Spatial Pooler.
SN Comput. Sci., 2022

Data-driven emotional body language generation for social robotics.
CoRR, 2022

Improved HTM Spatial Pooler with Homeostatic Plasticity Control.
Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods, 2021

On the Relationship Between Input Sparsity and Noise Robustness in Hierarchical Temporal Memory Spatial Pooler.
Proceedings of the ESSE 2020: 2020 European Symposium on Software Engineering, 2020

Behavioral Learning in a Cognitive Neuromorphic Robot: An Integrative Approach.
IEEE Trans. Neural Networks Learn. Syst., 2018

Visual attention and object naming in humanoid robots using a bio-inspired spiking neural network.
Robotics Auton. Syst., 2018

From Structure to Activity: Using Centrality Measures to Predict Neuronal Activity.
Int. J. Neural Syst., 2018

A Neurobiologically Constrained Cortex Model of Semantic Grounding With Spiking Neurons and Brain-Like Connectivity.
Frontiers Comput. Neurosci., 2018

A natural approach to studying schema processing.
CoRR, 2017

A Spiking Neurocomputational Model of High-Frequency Oscillatory Brain Responses to Words and Pseudowords.
Frontiers Comput. Neurosci., 2016

Towards a Cognitively Realistic Representation of Word Associations.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Neural Network Model of Semantic Processing in the Remote Associates Test.
Proceedings of the NIPS Workshop on Cognitive Computation: Integrating Neural and Symbolic Approaches co-located with the 29th Annual Conference on Neural Information Processing Systems (NIPS 2015), 2015

Thinking in circuits: toward neurobiological explanation in cognitive neuroscience.
Biol. Cybern., 2014

Towards Real-World Neurorobotics: Integrated Neuromorphic Visual Attention.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

Adaptive training of cortical feature maps for a robot sensorimotor controller.
Neural Networks, 2013

Information coding in a laminar computational model of cat primary visual cortex.
J. Comput. Neurosci., 2013

Multimodal Integration of Micro-Doppler Sonar and auditory signals for Behavior Classification with convolutional Networks.
Int. J. Neural Syst., 2013

Spatio-temporal pattern recognizers using spiking neurons and spike-timing-dependent plasticity.
Frontiers Comput. Neurosci., 2012

Emotions in autonomous agents: comparative analysis of mechanisms and functions.
Auton. Agents Multi Agent Syst., 2012

A Neurocomputational Model of Stimulus-Specific Adaptation to Oddball and Markov Sequences.
PLoS Comput. Biol., 2011

Abstract Stimulus-Specific Adaptation Models.
Neural Comput., 2011

Application of arachnid prey localisation theory for a robot sensorimotor controller.
Neurocomputing, 2011

Human Action Categorization Using Ultrasound Micro-Doppler Signatures.
Proceedings of the Human Behavior Unterstanding - Second International Workshop, 2011

A multimodal-corpus data collection system for cognitive acoustic scene analysis.
Proceedings of the 45st Annual Conference on Information Sciences and Systems, 2011

Modelling object perception in cortex: Hierarchical Bayesian networks and belief propagation.
Proceedings of the 45st Annual Conference on Information Sciences and Systems, 2011

Spatiotemporal dynamics in the cortical microcircuit: A modelling study of primary visual cortex layer 2/3.
Neural Networks, 2009

Microcircuits - Their structure, dynamics and role for brain function.
Neural Networks, 2009

Hippocampus, microcircuits and associative memory.
Neural Networks, 2009

On the Natural Hierarchical Composition of Cliques in Cell Assemblies.
Cogn. Comput., 2009

Recruitment and Consolidation of Cell Assemblies for Words by Way of Hebbian Learning and Competition in a Multi-Layer Neural Network.
Cogn. Comput., 2009

A cell assembly model for complex behaviour.
Neurocomputing, 2007

Dynamics of parameters of neurophysiological models from phenomenological EEG modeling.
Neurocomputing, 2007

A neuronal model of the language cortex.
Neurocomputing, 2007

High-resolution multiple-unit EEG in cat auditory cortex reveals large spatio-temporal stochastic interactions.
Biosyst., 2007

Cortical activity pattern computation.
Biosyst., 2007

A temporal learning rule in recurrent systems supports high spatio-temporal stochastic interactions.
Neurocomputing, 2006

Finite State Automata Resulting from Temporal Information Maximization and a Temporal Learning Rule.
Neural Comput., 2005

Stochastic interaction in associative nets.
Neurocomputing, 2005

Synfire chains with conductance-based neurons: internal timing and coordination with timed input.
Neurocomputing, 2005

Separation of Spatio-Temporal Receptive Fields into Sums of Gaussian Components.
J. Comput. Neurosci., 2004

Fitting of spatio-temporal receptive fields by sums of Gaussian components.
Neurocomputing, 2004

Editorial: Cell assemblies.
Theory Biosci., 2003

Spatial and temporal stochastic interaction in neuronal assemblies.
Theory Biosci., 2003

Models of distributed associative memory networks in the brain.
Theory Biosci., 2003

Dynamical properties of strongly interacting Markov chains.
Neural Networks, 2003

Temporal Infomax on Markov chains with input leads to finite state automata.
Neurocomputing, 2003

Temporal infomax leads to almost deterministic dynamical systems.
Neurocomputing, 2003

Dynamic Approximation of Spatiotemporal Receptive Fields in Nonlinear Neural Field Models.
Neural Comput., 2002

Nonlinear analysis of spatio-temporal receptive fields: IV. Generic tuning properties for rectifying rate-functions.
Neurocomputing, 2002

Nonlinear analysis of spatio-temporal receptive fields: III. RF-reconstruction from mean-field approximations.
Neurocomputing, 2002

Nonlinear analysis of spatio-temporal receptive fields: II. Dynamic properties of V1 simple cells.
Neurocomputing, 2002

Nonlinear analysis of spatio-temporal receptive fields: I. Dynamic approximation method.
Neurocomputing, 2002

Is voltage-dependent synaptic transmission in NMDA receptors a robust mechanism for working memory?
Neurocomputing, 2002

Nonlinear Analysis of Simple Cell Tuning in Visual Cortex.
Proceedings of the Artificial Neural Networks, 2002

Associative memory in networks of spiking neurons.
Neural Networks, 2001

Orientation Tuning Properties of Simple Cells in Area V1 Derived from an Approximate Analysis of Nonlinear Neural Field Models.
Neural Comput., 2001

Neural Field Model of Receptive Field Restructuring in Primary Visual Cortex.
Neural Comput., 2001

Generalized types of synchronization in networks of spiking neurons.
Neurocomputing, 2001

Nonlinear analysis of orientation tuning: Stationary properties of simple cells in V1.
Neurocomputing, 2001

Associative memory in a pair of cortical cell groups with reciprocal projections.
Neurocomputing, 2001

Dynamics of spatio-temporal patterns in associative networks of spiking neurons.
Neurocomputing, 2000

Neural field description of state-dependent visual receptive field changes.
Neurocomputing, 2000

Synchronisation und Assoziation in neuronalen Netzen.
PhD thesis, 1999

Gamma-oscillations support optimal retrieval in associative memories of two-compartment neurons.
Neurocomputing, 1999

How imprecise is neuronal synchronization?
Neurocomputing, 1999

Neural field description of state-dependent receptive field changes in the visual cortex.
Proceedings of the 7th European Symposium on Artificial Neural Networks, 1999

Controlling the Speed of Synfire Chains.
Proceedings of the Artificial Neural Networks, 1996