Lab Members

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.

Jeff Orchard

Associate Professor

Lab Director

jorchard@uwaterloo.ca

Ehsan Ganjidoost

PhD Candidate

Predictive coding networks

eganjido@uwaterloo.ca

webpage

Evangelia Kryoneriti

PhD Student

Vision, neural netowrks

ekryoner@uwaterloo.ca

Nolan Shaw

PhD Student
Lab-Meeting Manager

Neural learning in competitive environments

nolan.shaw@uwaterloo.ca

Alex van de Kleut

MMath Student

Neural reinforcement learning

avandekleut@uwaterloo.ca

github

Mallory Snow

MMath Student

m5snow@uwaterloo.ca

Brian Cechmanek

MMath Student

Regression Predictive-Coding

bcechmanek@uwaterloo.ca

Franky Sun

MEng Student (Univ. of Jinan, China)

Co-supervised with Prof. Lin Wang

Jeremy Zheng

MEng Student (Univ. of Jinan, China)

Co-supervised with Prof. Bo Yang and Prof. Lin Wang

Lin Wang

Associate Professor (Univ. of Jinan, China)

Collaborator, and past postdoctoral fellow at Waterloo

Past Members

• 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