Thomas Trappenberg
Thomas Trappenberg
Professor of Computer Science, Dalhousie University
Verified email at - Homepage
Cited by
Cited by
Fundamentals of computational neuroscience
T Trappenberg
OUP Oxford, 2009
A model of saccade initiation based on the competitive integration of exogenous and endogenous signals in the superior colliculus
TP Trappenberg, MC Dorris, DP Munoz, RM Klein
Journal of cognitive neuroscience 13 (2), 256-271, 2001
Self-organizing continuous attractor networks and path integration: one-dimensional models of head direction cells
SM Stringer, TP Trappenberg, ET Rolls, IET Araujo
Network: Computation in Neural Systems 13 (2), 217-242, 2002
Overlap versus imbalance
M Denil, T Trappenberg
Advances in Artificial Intelligence: 23rd Canadian Conference on Artificial …, 2010
Using structural MRI to identify bipolar disorders–13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working Group
A Nunes, HG Schnack, CRK Ching, I Agartz, TN Akudjedu, M Alda, ...
Molecular psychiatry 25 (9), 2130-2143, 2020
Self-organizing continuous attractor networks and path integration: two-dimensional models of place cells
SM Stringer, ET Rolls, TP Trappenberg, IET De Araujo
Network: computation in neural systems 13 (4), 429-446, 2002
A unified model of spatial and episodic memory
ET Rolls, SM Stringer, TP Trappenberg
Proceedings of the Royal Society of London. Series B: Biological Sciences …, 2002
Self-organising continuous attractor networks with multiple activity packets, and the representation of space
SM Stringer, ET Rolls, TP Trappenberg
Neural networks 17 (1), 5-27, 2004
Selecting inputs for modeling using normalized higher order statistics and independent component analysis
AD Back, TP Trappenberg
IEEE Transactions on Neural Networks 12 (3), 612-617, 2001
Broken phase of the 4-dimensional Ising model in a finite volume
K Jansen, I Montvay, G Münster, T Trappenberg, U Wolff
Nuclear Physics B 322 (3), 698-720, 1989
Spatial interactions in the superior colliculus predict saccade behavior in a neural field model
RA Marino, TP Trappenberg, M Dorris, DP Munoz
Journal of Cognitive Neuroscience 24 (2), 315-336, 2012
Self-organizing continuous attractor networks and motor function
SM Stringer, ET Rolls, TP Trappenberg, IET de Araújo
Neural Networks 16 (2), 161-182, 2003
Skin cancer detection based on deep learning and entropy to detect outlier samples
AGC Pacheco, AR Ali, T Trappenberg
arXiv preprint arXiv:1909.04525, 2019
Prediction of lithium response using clinical data
A Nunes, R Ardau, A Berghöfer, A Bocchetta, C Chillotti, V Deiana, ...
Acta Psychiatrica Scandinavica 141 (2), 131-141, 2020
Modeling inhibition of return as short-term depression of early sensory input to the superior colliculus
J Satel, Z Wang, TP Trappenberg, RM Klein
Vision research 51 (9), 987-996, 2011
A heuristic for free parameter optimization with support vector machines
M Boardman, T Trappenberg
the 2006 IEEE international joint conference on neural network proceedings …, 2006
Input variable selection: mutual information and linear mixing measures
T Trappenberg, J Ouyang, A Back
IEEE Transactions on Knowledge and Data Engineering 18 (1), 37-46, 2005
Self-organizing continuous attractor network models of hippocampal spatial view cells
SM Stringer, ET Rolls, TP Trappenberg
Neurobiology of learning and memory 83 (1), 79-92, 2005
Vacuum tunneling in the four-dimensional Ising model
K Jansen, J Jersak, I Montvay, G Münster, T Trappenberg, U Wolff
Physics Letters B 213 (2), 203-209, 1988
On out-of-distribution detection algorithms with deep neural skin cancer classifiers
AGC Pacheco, CS Sastry, T Trappenberg, S Oore, RA Krohling
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
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