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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. Details can be found at the project pages that will be updated frequently.

Current Lab Members

Our newest lab member.

Thomas Trappenberg [Prof]
tt@cs.dal.ca http://cs.dal.ca/~tt
Machine Learning and Computational Neuroscience

Patrick Connor [Ph.D]
Basal Ganglia, Reinforcement Learning

Warren Connors [MCS]
Machine Learning

Paul Hollensen [MCS]
Machine Learning and Computational Neuroscience

Jake Kroeker [RA]
Reinforcement Learning

Rober Boshra
Machine Learning and Robotics

Rohan Bhargava [MCS]
Machine Learning and Robotics

Michal Lisicki [RA]
Machine Learning and Robotics

Jason Satel [Ph.D]
IOR, EEG, Neural Field Theory

Past Lab Members

Leah Brown [NSERC USRA, 2011]
lbrown@cs.dal.ca
Machine Learning and Robotics

Ian Graven [NSERC USRA, 2011]
Machine Learning and Robotics

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

Patrick Mahaux [MEC, 2004]
Client Profile Model: How to Identify Training Candidates with the least chance of Employment

Daniel Rogers [BCS Honours, 2004]
Exploration of the Techniques, Tools, and Requirements of Electronic Voting Systems

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 national 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