Trevor Bekolay
Trevor Bekolay
Applied Brain Research
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Cited by
Cited by
A large-scale model of the functioning brain
C Eliasmith, TC Stewart, X Choo, T Bekolay, T DeWolf, C Tang, ...
Science 338 (6111), 1202-1205, 2012
Nengo: a Python tool for building large-scale functional brain models
T Bekolay, J Bergstra, E Hunsberger, T DeWolf, TC Stewart, ...
Frontiers in neuroinformatics 7, 48, 2014
Learning to select actions with spiking neurons in the basal ganglia
TC Stewart, T Bekolay, C Eliasmith
Frontiers in Neuroscience 6, 2012
Neural representations of compositional structures: Representing and manipulating vector spaces with spiking neurons
TC Stewart, T Bekolay, C Eliasmith
Connection Science 23 (2), 145-153, 2011
Simultaneous unsupervised and supervised learning of cognitive functions in biologically plausible spiking neural networks
T Bekolay, C Kolbeck, C Eliasmith
35th Annual Conference of the Cognitive Science Society, 169-174, 2013
A spiking neural integrator model of the adaptive control of action by the medial prefrontal cortex
T Bekolay, M Laubach, C Eliasmith
The Journal of Neuroscience 34 (5), 1892-1902, 2014
Methods and systems for artificial cognition
CD Eliasmith, TC Stewart, F Choo, TW Bekolay, T Crncich-dewolf, Y Tang, ...
US Patent 20,140,156,577, 2014
Reduction of dopamine in basal ganglia and its effects on syllable sequencing in speech: a computer simulation study
V Senft, TC Stewart, T Bekolay, C Eliasmith, BJ Kröger
Basal Ganglia 6 (1), 7-17, 2016
Modeling interactions between speech production and perception: speech error detection at semantic and phonological levels and the inner speech loop
BJ Kröger, E Crawford, T Bekolay, C Eliasmith
Frontiers in Computational Neuroscience 10, 51, 2016
Learning in large-scale spiking neural networks
T Bekolay
University of Waterloo, 2011
Modeling the mental lexicon as part of long-term and working memory and simulating lexical access in a naming task including semantic and phonological cues
CM Stille, T Bekolay, P Blouw, BJ Kröger
Frontiers in Psychology 11, 527667, 2020
Modeling speech production using the Neural Engineering Framework
BJ Kröger, T Bekolay, C Eliasmith
2014 5th IEEE Conference on Cognitive Infocommunications (CogInfoCom), 203-208, 2014
Hierarchical sequencing and feedforward and feedback control mechanisms in speech production: a preliminary approach for modeling normal and disordered speech
BJ Kröger, CM Stille, P Blouw, T Bekolay, TC Stewart
Frontiers in Computational Neuroscience 14, 573554, 2020
Neural modeling of speech processing and speech learning
BJ Kröger, T Bekolay
Springer International Publishing, 2019
Inhibiting basal ganglia regions reduces syllable sequencing errors in Parkinson's disease: a computer simulation study
V Senft, TC Stewart, T Bekolay, C Eliasmith, BJ Kröger
Frontiers in computational neuroscience 12, 41, 2018
Biologically inspired methods in speech recognition and synthesis: closing the loop
T Bekolay
University of Waterloo, 2016
Modeling motor planning in speech production using the Neural Engineering Framework
BJ Kröger, T Bekolay, P Blouw
Electronic Speech Signal Processing (ESSV), 2016
On the Emergence of Phonological Knowledge and on Motor Planning and Motor Programming in a Developmental Model of Speech Production
BJ Kröger, T Bekolay, M Cao
Frontiers in Human Neuroscience 16, 844529, 2022
A general error-modulated STDP learning rule applied to reinforcement learning in the basal ganglia
T Bekolay, C Eliasmith
Learning nonlinear functions on vectors: examples and predictions
T Bekolay
CTN Technical Report, 2010
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