Difference between revisions of "Main Page"

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'''Jason Satel [Ph.D]'''<br />
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IOR, EEG, Neural Field Theory
  
 
'''Patrick Connor [Ph.D]'''<br />  
 
'''Patrick Connor [Ph.D]'''<br />  
 
Basal Ganglia, Reinforcement Learning
 
Basal Ganglia, Reinforcement Learning
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 +
'''Farzaneh Sheikhnezhad Fard [Ph.D]''' <br />
 +
Cognitive Robotics
  
 
'''Warren Connors [MCS]'''<br />
 
'''Warren Connors [MCS]'''<br />
Machine Learning
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Neural Fields and Cognitive Robotics
 
 
  
 
'''Paul Hollensen [MCS]'''<br />
 
'''Paul Hollensen [MCS]'''<br />
 
Machine Learning and Computational Neuroscience
 
Machine Learning and Computational Neuroscience
  
'''Jake Kroeker [RA]'''<br />
+
'''Rohan Bhargava [MCS]''' <br />
Reinforcement Learning
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Machine Learning and Robotics
 +
 
 +
'''Michal Lisicki [MCS]'''<br />
 +
Image mining
  
'''Ranga Rankaduwa [RA]'''<br />
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'''Ranga Rankaduwa [MSC]'''<br />
 
Computational Neuroscience and Synaptic Plasticity
 
Computational Neuroscience and Synaptic Plasticity
  
'''Rober Boshra''' <br />
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'''Rober Boshra''' [Honors] <br />
Machine Learning and Robotics
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Brain Computer Interface
  
'''Rohan Bhargava [MCS]''' <br />
+
'''Jake Kroeker [Honors]'''<br />
Machine Learning and Robotics
+
Reinforcement Learning
 
 
'''Michal Lisicki [RA]'''<br />
 
Machine Learning and Robotics
 
  
'''Jason Satel [Ph.D]'''<br />
 
IOR, EEG, Neural Field Theory
 
  
 
== Past Lab Members ==
 
== Past Lab Members ==
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Machine Learning and Robotics
 
Machine Learning and Robotics
  
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'''Michal Lisicki [RA, 2011]'''<br />
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Machine Learning and Robotics
  
 
'''Paul Hollensen [BCS Honours, 2010]'''<br />
 
'''Paul Hollensen [BCS Honours, 2010]'''<br />

Revision as of 21:13, 27 December 2012

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


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

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

Farzaneh Sheikhnezhad Fard [Ph.D]
Cognitive Robotics

Warren Connors [MCS]
Neural Fields and Cognitive Robotics

Paul Hollensen [MCS]
Machine Learning and Computational Neuroscience

Rohan Bhargava [MCS]
Machine Learning and Robotics

Michal Lisicki [MCS]
Image mining

Ranga Rankaduwa [MSC]
Computational Neuroscience and Synaptic Plasticity

Rober Boshra [Honors]
Brain Computer Interface

Jake Kroeker [Honors]
Reinforcement Learning


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

Michal Lisicki [RA, 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