Members

Postdocs — PhDs — Masters — Undergrads — Others — Previous

Director

Postdoctoral Fellows

PhD Students

Master’s Students

Undergraduate Researchers

Other Affiliates

Past Members

• Dr. Nicole Dumont, PhD graduate, Winter 2025
  Thesis: Symbols, Dynamics, and Maps: A Neurosymbolic Approach to Spatial Cognition

• Nicolas Martalog, CS Undergraduate Research Assistant (part-time), Winter 2025
  Topic: Linear Decoding for Adapting Neuron Models

• Nicholas Jiang, CS Undergraduate Research Assistant (part-time), Fall 2024
  Topic: Nengo implementation of spiking phasors

• William Pugsley, MMath (Computational Mathematics), Spring 2024
  Co-supervised by Roxane Itier
  Research Report: Face Perception using a Predictive-Coding Neural Network

• Alicia Bremer, CS Undergraduate Research Assistant, Spring 2024
  Decoding and clean-up of Spatial Semantic Pointers

• Michael Karras, MMath (Computer Science), Spring 2023
  Research report: A Review on the Methodology for Creating Language Models and Their Applications in Coding and Question Answering

• Mallory Snow, MMath (Computer Science), Fall 2022
  Thesis: Biological Plausibility in Modern Hopfield Networks

• Prof. Shi-Yuan “Hank” Han, Visiting Scholar, Dec 2021 - July 2022
  Professor, University of Jinan, China
  Intelligent control, flow forecasting, scheduling

• Alex van de Kleut, MMath (Computer Science), Winter 2021
  Thesis: Learning-Free Methods for Goal Conditioned Reinforcement Learning from Images

• 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, CS Undergraduate Research Assistant (part-time), Spring 2019
  Predictive Coding Networks

• Mike Bian, CS Undergraduate Research Assistant (part-time), Fall 2018
  Bidirectional Equilibrium Propagation

• Ronak Predeep, CS Undergraduate Research Assistant (part-time), 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, Mechatronics Eng Undergraduate Research Assistant (part-time), Fall 2017
  Style Memory in Neural Networks

• Louis Castricato, CS Undergraduate Research Assistant (part-time), 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, Undergraduate Research Assistant (full-time), April-Aug 2016
  Symmetric Predictive Coding Networks

• Lin Wang, Postdoctoral Fellow, March 2015-Feb 2016
  The Evolution of Neural Learning

• Cameron Seth, CS Undergrad Research Assistant (full-time), 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, CS Undergraduate Research Assistent (part-time), 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