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Welcome to the Laboratory for Hierarchical Anticipatory Learning (HAL Lab). We are a lab at Dalhousie University whose research interests are primarily in the fields of Computational Neuroscience and Machine Learning. The lab can be contacted at thehallab@gmail.com
Current Lab Members
Leah Brown [NSERC USRA]
Machine Learning and Robotics
Patrick Connor [Ph.D]
Basal Ganglia, Reinforcement Learning,
Warren Connors [MCS]
Machine Learning
Ian Graven [NSERC USRA]
Machine Learning and Robotics
Paul Hollensen [MCS]
Machine Learning and Computational Neuroscience
Jake Kroeker [RA]
Reinforcement Learning
Michal Lisicki [RA]
Machine Learning and Robotics
Jason Satel [Ph.D]
IOR, EEG, Neural Field Theory
Thomas Trappenberg [Prof]
Machine Learning and Computational Neuroscience
Past Lab Members
Paul Hollensen [BCS Honours, 2010]
Restricted Boltzmann Machines
Misha Denil [BCS Honours, 2010]
Machine Learning
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
