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Welcome to the Laboratory for Hierarchical Anticipatory Learning (HAL Lab). The lab can be contacted at thehallab@gmail.com

Current Lab Members

Patrick Connor [Ph.D]
Basal Ganglia

Warren Connors [MCS]
Machine Learning

Misha Denil [BCS Honors]
Machine Learning

Paul Hollensen [BCS Honors]
Machine Learning and Computational Neuroscience

Ian Graven [NSERC USRA]
Machine Learning and Robotics

Leah Brown [NSERC USRA]
Machine Learning and Robotics

Past Lab Members

Dr. Dominic Standage [Ph.D., 2007]
Mechanisms of short term and long term memory in cortex: neural fields and synaptic plasticity

Bijan Farhoudi [BCS Honours, 2007]
Point attractor networks with resetricted weights

Sajiya Jail [Guest Researcher, 2005-2006]
Spike-timimg dependent plasticity

Matthew Boardman [MCS, 2006]
Extrinsic regularization in parameter optimization for support vector machines

Jesse Rusak [BCS Honours, 2006]
Setup and analysis of a brain-computer interface using support vector machines for single-trial classification

Jason Satel [MCS, 2005]
Motivationally-based learning mechanisms and the dynamics of saccade initiation

Kan Yang [MCS, 2005]
An internet-based electronic voting system with balanced complexity and security

Jie Ouyang [MCS, 2004]
Improved ICAIVS algorithm with mutual information

Alicia Grosvenor [MEC, 2004]
Elliptic Curve cryptography: A viable alternative for maintaining security in low precessing and low memory computing environments

Shelagh Gregory [EMEC, 2003]
Should Canada use biometric identifiers if implementing a natuional identification system?

Dr. Carrie Gates [MSC, 1995]
The application of neural networks to predicating the conductivity of water

George MacLennan [MSC, 1994]
Evolutionary Design of neural networks