current members
Previous members
Ehsan Ganjidoost, Ph.D. candidate (Computer Science)
Topic: Predictive Estimators and Perceptual Feedback Networks
Nolan Shaw, Ph.D. candidate (Computer Science)
Topic: TBD
Wei Sun, M.Math candidate (Computer Science)
Topic: Predictive Coder Networks and Adversarial Inputs
Tuan Bui, M.Math candidate (Computational Mathematics)
Topic: Computational Finance and Economics
Evangelia Kryoneriti, Ph.D. candidate (Computer Science),
Topic: TBD
Alex van de Kleut, M.Math candidate (Computer Science)
Topic: TBD
Brian Cechmanek, M.Math candidate (Computer Science)
Topic: TBD
Franky Sun, M.Eng. candidate (Univ. of Jinan, School of Information Science and Engineering)
Co-supervised by Prof. Lin Wang, U. Jinan
Topic: Human-Supervised Optimization
Jeremy Zheng, M.Eng. candidate (Univ. of Jinan, School of Information Science and Engineering)
Co-supervised by Prof. Bo Yang and Prof. Lin Wang, U. Jinan
Topic: Neural Learning and Co-Evolution
Nolan Shaw, M.Math (Computer Science), Fall 2019
Topic: The Computational Advantages of Intrinsic Plasticity in Neural Networks
Neil Liu, Undergrad RA (Computer Science)
Topic: Predictive Coder Networks
Mike Bian, Undergrad RA (Computer Science), Fall 2018
Topic: Bidirectional Equilibrium Propagation
Ronak Predeep, Undergrad RA (Computer Science), Fall 2018
Topic: High-Performance Neural Network Implementations
Ahmed Khan, M.Math (Computer Science), 2018
Rey Wiyatno, Undergrad RA (Mechatronics Eng), Fall 2017
Topic: Style Memory in Neural Networks
Louis Castricato, Undergrad RA (Computer Science), Spring 2017
Topic: Combatting Adversarial Inputs using a Predictive-Estimator Network
Paulo Pacheco, Ph.D. candidate (Computer Science)
Topic: Interpretability of Neural Representations
Dong Wang, Visiting Scholar
Assistant Professor, University of Jinan, China
Topic: Nonlinear Neuron Models
Eric Hunsberger, Ph.D. (Systems Design Engineering), 2017
(Co-supervised with Chris Eliasmith, Systems Design Engineering)
Topic: Spiking Deep Neural Networks
Peng Wu, Visiting Scholar, Feb-July 2017
Assistant Professor, University of Jinan, China
Topic: Flexible Neural Trees with Spiking Neurons
Oscar Yeung (Co-op student), May-Aug 2017
Topic: Course Content Developer (CS 370)
David Xu, M.Math (Computer Science), 2016
Andrew Clappison, Summer Research Assistant, April-Aug 2016
Topic: Symmetric Predictive Coding Networks
Lin Wang, Postdoctoral Fellow, March 2015 - Feb 2016
Topic: The Evolution of Neural Learning
Cameron Seth, Co-op Undergrad Research Assistant, May-Aug 2015
Topic: Training Feedback Perception Networks
Shahed Shahir, Ph.D. (Electrical & Computer Engineering), 2015
(Co-supervised with Safieddin Safavi-Naeini, E&CE)
Oliver Trujillo, M.Math (Computer Science), 2014
(Co-supervised with Chris Eliasmith, Systems Design Engineering)
Thesis: A Spiking Neural Model of Episodic Memory Encoding and Replay in Hippocampus
Patrick Ji, M.Math (Computer Science), 2014
Michael Yang, Undergraduate RA (Computer Science), Sept-Dec 2012
Topic: Neural Oscillators
Yanwei Wang, Ph.D. (Applied Math), 2011
Michael Lam, M.Math (Computer Science), 2011
Hwa Young Kim, M.Math (Computer Science), 2009
Maja Omanovic, M.Math (Computer Science), 2006
Alexei Ramotar, M.Math (Computer Science), 2006
We study neural networks and artificial intelligence, with an eye on what we can learn about the brain. Deep neural networks have begun to rival human abilities in perceptual tasks. How do these networks relate to our own perceptual systems, like vision, or audition?
We try to unravel how the brain learns. This pursuit often leads to neural-network learning algorithms that involve feed-back connections and dynamical systems methodologies. The challenge is to train these networks in a deep architecture and investigate how they react to ambiguous stimulus or optical illusions.
(photos)