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'''Jake Kroeker [RA]'''<br />
'''Jake Kroeker [RA]'''<br />
Reinforcement Learning
Reinforcement Learning


'''Michal Lisicki [RA]'''<br />
'''Michal Lisicki [RA]'''<br />
Machine Learning and Robotics
Machine Learning and Robotics


'''Jason Satel [Ph.D]'''<br />  
'''Jason Satel [Ph.D]'''<br />  
IOR, EEG, Neural Field Theory
IOR, EEG, Neural Field Theory


== Past Lab Members ==
== Past Lab Members ==
'''Paul Hollensen [BCS Honours, 2010]'''<br />
'''Paul Hollensen [BCS Honours, 2010]'''<br />
Restricted Boltzmann Machines
Restricted Boltzmann Machines


'''Misha Denil [BCS Honours, 2010]'''<br />
'''Misha Denil [BCS Honours, 2010]'''<br />
Machine Learning
Machine Learning


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


'''Bijan Farhoudi [BCS Honours, 2007]'''<br />
'''Bijan Farhoudi [BCS Honours, 2007]'''<br />
Point attractor networks with resetricted weights
Point attractor networks with resetricted weights


'''Sajiya Jail [Guest Researcher, 2005-2006]'''<br />
'''Sajiya Jail [Guest Researcher, 2005-2006]'''<br />
Spike-timimg dependent plasticity
Spike-timimg dependent plasticity


'''Matthew Boardman [MCS, 2006]'''<br />
'''Matthew Boardman [MCS, 2006]'''<br />
Extrinsic regularization in parameter optimization for support vector machines
Extrinsic regularization in parameter optimization for support vector machines


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


'''Jason Satel [MCS, 2005]'''<br />
'''Jason Satel [MCS, 2005]'''<br />
Motivationally-based learning mechanisms and the dynamics of saccade initiation
Motivationally-based learning mechanisms and the dynamics of saccade initiation


'''Kan Yang [MCS, 2005]'''<br />
'''Kan Yang [MCS, 2005]'''<br />
An internet-based electronic voting system with balanced complexity and security
An internet-based electronic voting system with balanced complexity and security


'''Jie Ouyang [MCS, 2004]'''<br />
'''Jie Ouyang [MCS, 2004]'''<br />
Improved ICAIVS algorithm with mutual information
Improved ICAIVS algorithm with mutual information


'''Patrick Mahaux [MEC, 2004]'''<br />
'''Patrick Mahaux [MEC, 2004]'''<br />
Client Profile Model: How to Identify Training Candidates with the least chance of Employment
Client Profile Model: How to Identify Training Candidates with the least chance of Employment
   
   
'''Daniel Rogers [Honours, 2004]'''<br />
'''Daniel Rogers [Honours, 2004]'''<br />
Exploration of the Techniques, Tools, and Requirements of Electronic Voting Systems
Exploration of the Techniques, Tools, and Requirements of Electronic Voting Systems


'''Alicia Grosvenor [MEC, 2004]'''<br />
'''Alicia Grosvenor [MEC, 2004]'''<br />

Revision as of 20:55, 16 June 2011

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
Machine Learning and Computational Neuroscience


Leah Brown [NSERC USRA]
lbrown@cs.dal.ca
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

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

Patrick Mahaux [MEC, 2004]

Client Profile Model: How to Identify Training Candidates with the least chance of Employment

Daniel Rogers [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 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