The Neurcognitive Computing Lab has the lofty goal of reverse-engineering the brain. We want to explain behaviour and cognition in mechanistic terms. Here is the team that is making it happen.
Associate Professor
Lab Director
jorchard@uwaterloo.ca
PhD Student
Vision, neural netowrks
ekryoner@uwaterloo.ca
PhD Student
Lab-Meeting Manager
Neural learning in competitive environments
nolan.shaw@uwaterloo.ca
MMath Student
m5snow@uwaterloo.ca
MMath Student
Regression Predictive-Coding
bcechmanek@uwaterloo.ca
MEng Student (Univ. of Jinan, China)
Co-supervised with Prof. Lin Wang
MEng Student (Univ. of Jinan, China)
Co-supervised with Prof. Bo Yang and Prof. Lin Wang
Associate Professor (Univ. of Jinan, China)
Collaborator, and past postdoctoral fellow at Waterloo
Wei Sun, MMath (Computer Science), Spring 2020
Thesis: Decay Makes Supervised Predictive Coding Generative
Haris Zahid, Undergrad RA (Computer Science), Winter 2020
Generative Predictive Coding networks
Nolan Shaw, MMath (Computer Science), Fall 2019
Thesis: The Computational Advantages of Intrinsic Plasticity in Neural Networks
Neil Liu, Undergrad RA (Computer Science), Spring 2019
Predictive Coding Networks
Mike Bian, Undergrad RA (Computer Science), Fall 2018
Bidirectional Equilibrium Propagation
Ronak Predeep, Undergrad RA (Computer Science), Fall 2018
High-Performance Neural Network Implementations
Ahmed Khan, MMath (Computer Science), 2018
Thesis: Bidirectional Learning in Recurrent Neural Networks Using Equilibrium Propagation
Rey Wiyatno, Undergrad RA (Mechatronics Eng), Fall 2017
Style Memory in Neural Networks
Louis Castricato, Undergrad RA (Computer Science), Spring 2017
Combatting Adversarial Inputs using a Predictive-Estimator Network
Paulo Pacheco, PhD candidate (Computer Science)
Interpretability of Neural Representations
Dong Wang, Visiting Scholar
Assistant Professor, University of Jinan, China
Nonlinear Neuron Models
Eric Hunsberger, PhD (Systems Design Engineering), 2017
(Co-supervised with Chris Eliasmith, Systems Design Engineering)
Thesis: Spiking Deep Neural Networks
Peng Wu, Visiting Scholar, Feb-July 2017
Assistant Professor, University of Jinan, China
Using Flexible Neural Trees to Seed Backpropagation
Oscar Yeung (Co-op student), May-Aug 2017
Course Content Developer (CS 370, “Numerical Computation”)
David Xu, MMath (Computer Science), 2016
Thesis: Biologically Plausible Neural Learning using Symmetric Predictive Estimators
Andrew Clappison, Summer Research Assistant, April-Aug 2016
Symmetric Predictive Coding Networks
Lin Wang, Postdoctoral Fellow, March 2015-Feb 2016
The Evolution of Neural Learning
Cameron Seth, Co-op Undergrad Research Assistant, May-Aug 2015
Training Feedback Perception Networks
Shahed Shahir, PhD (Electrical & Computer Engineering), 2015
(Co-supervised with Safieddin Safavi-Naeini, E&CE)
Thesis: Near-Field Scattering Tomography System for Object Imaging and Material Characterization
Oliver Trujillo, MMath (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, MMath (Computer Science), 2014
Thesis: Generalized Strategies for Path Integration using Neural Oscillators
Michael Yang, Undergraduate RA (Computer Science), Sept-Dec 2012
Topic: Neural Oscillators
Yanwei Wang, PhD (Applied Math), 2011
Thesis: Efficient Stockwell Transform with Applications to Image Processing
Michael Lam, MMath (Computer Science), 2011
Thesis: Retinotopic Preservation in Deep Belief Network Visual Learning
Hwa Young Kim, MMath (Computer Science), 2009
Thesis: Registering a Non-Rigid Multi-Sensor Ensemble of Images
Maja Omanovic, MMath (Computer Science), 2006
Thesis: Matching of Dental X-rays for Human Forensic Identification
Alexei Ramotar, MMath (Computer Science), 2006
Thesis: General Geometry Computed Tomography Reconstruction