Trevor Bekolay
Trevor Bekolay
Applied Brain Research
Verified email at appliedbrainresearch.com - Homepage
Title
Cited by
Cited by
Year
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
7462012
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
2112014
Learning to select actions with spiking neurons in the basal ganglia
TC Stewart, T Bekolay, C Eliasmith
Frontiers in Neuroscience 6, 2012
862012
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
662011
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
402013
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
292014
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
18*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
152016
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
142016
Learning in large-scale spiking neural networks
T Bekolay
University of Waterloo, 2011
122011
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
92014
A general error-modulated STDP learning rule applied to reinforcement learning in the basal ganglia
T Bekolay, C Eliasmith
82011
Modeling motor planning in speech production using the Neural Engineering Framework
BJ Kröger, T Bekolay, P Blouw
Electronic Speech Signal Processing (ESSV), 2016
72016
Biologically inspired methods in speech recognition and synthesis: closing the loop
T Bekolay
University of Waterloo, 2016
52016
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
22018
A biologically plausible spiking neuron model of fear conditioning
C Kolbeck, T Bekolay, C Eliasmith
12th International Conference on Cognitive Modelling, 53-58, 2013
22013
Spaun: A large-scale model of the functioning brain
T Bekolay, TC Stewart, X Choo, T DeWolf, Y Tang, D Rasmussen, ...
Cheriton Symposium, 2013
22013
Learning nonlinear functions on vectors: examples and predictions
T Bekolay
CTN Technical Report, 2010
22010
Speech Acquisition
BJ Kröger, T Bekolay
Neural Modeling of Speech Processing and Speech Learning, 71-84, 2019
12019
Natural language processing in large-scale neural models for medical screenings
CM Stille, T Bekolay, P Blouw, BJ Kröger
Frontiers in Robotics and AI 6, 62, 2019
12019
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