Difference between revisions of "Main Page"
| Line 28: | Line 28: | ||
'''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 | |
'''Alicia Grosvenor [MEC, 2004]'''<br /> | '''Alicia Grosvenor [MEC, 2004]'''<br /> | ||
Revision as of 01:55, 17 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
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
