Terrence C Stewart

Terrence C Stewart

University of Waterloo

H-index: 33

North America-Canada

About Terrence C Stewart

Terrence C Stewart, With an exceptional h-index of 33 and a recent h-index of 22 (since 2020), a distinguished researcher at University of Waterloo, specializes in the field of cognitive science, computational modelling, neural engineering.

His recent articles reflect a diverse array of research interests and contributions to the field:

Editor's Introduction: Best Papers from the 20th International Conference on Cognitive Modeling

Frequency-dependent entanglement advantage in spin-network Quantum Reservoir Computing

Using neuromorphic cameras to track quadcopters

Neurobench: Advancing neuromorphic computing through collaborative, fair and representative benchmarking

Combined Radar and Camera Drone Detection in Urban Environment: A Simulation-Based Approach

Neuromorphic intermediate representation: a unified instruction set for interoperable brain-inspired computing

Methods and systems for learning online to predict time-series data

A Unified Neurocomputational Model of Prospective and Retrospective Timing

Terrence C Stewart Information

University

Position

Centre for Theoretical Neuroscience

Citations(all)

5191

Citations(since 2020)

2560

Cited By

3634

hIndex(all)

33

hIndex(since 2020)

22

i10Index(all)

70

i10Index(since 2020)

52

Email

University Profile Page

University of Waterloo

Google Scholar

View Google Scholar Profile

Terrence C Stewart Skills & Research Interests

cognitive science

computational modelling

neural engineering

Top articles of Terrence C Stewart

Title

Journal

Author(s)

Publication Date

Editor's Introduction: Best Papers from the 20th International Conference on Cognitive Modeling

Terrence C Stewart

2024/1

Frequency-dependent entanglement advantage in spin-network Quantum Reservoir Computing

arXiv preprint arXiv:2403.08998

Youssef Kora

Hadi Zadeh-Haghighi

Terrence C Stewart

Khabat Heshami

Christoph Simon

2024/3/13

Using neuromorphic cameras to track quadcopters

Terrence Stewart

Marc-Antoine Drouin

Michel Picard

Frank Billy Djupkep

Anthony Orth

...

2023/8/1

Neurobench: Advancing neuromorphic computing through collaborative, fair and representative benchmarking

arXiv preprint arXiv:2304.04640

Jason Yik

Soikat Hasan Ahmed

Zergham Ahmed

Brian Anderson

Andreas G Andreou

...

2023/4/10

Combined Radar and Camera Drone Detection in Urban Environment: A Simulation-Based Approach

Marc-Antoine Drouin

Frank Billy Djupkep Dizeu

Terrence C Stewart

Hilda Azimi

Guillaume Gagné

2023/7/18

Neuromorphic intermediate representation: a unified instruction set for interoperable brain-inspired computing

arXiv preprint arXiv:2311.14641

Jens E Pedersen

Steven Abreu

Matthias Jobst

Gregor Lenz

Vittorio Fra

...

2023/11/24

Methods and systems for learning online to predict time-series data

2023/3/9

A Unified Neurocomputational Model of Prospective and Retrospective Timing

Joost de Jong

Aaron R Voelker

Terrence C Stewart

Elkan Akyurek

Chris Eliasmith

...

2023/6/21

Synthetic Dataset for Quadcopter Detection Based on Frequency Propeller Signature

Marc-Antoine Drouin

Marc-André Rainville

Michel Picard

Terrence C Stewart

Frank Billy Djupkep Dizeu

...

2023/9/27

Biologically-Based Computation: How Neural Details and Dynamics Are Suited for Implementing a Variety of Algorithms

Brain Sciences

Nicole Sandra-Yaffa Dumont

Andreas Stöckel

P Michael Furlong

Madeleine Bartlett

Chris Eliasmith

...

2023/1/31

Reservoir based spiking models for univariate Time Series Classification

Frontiers in Computational Neuroscience

Ramashish Gaurav

Terrence C Stewart

Yang Yi

2023/6/8

A whole-task brain model of associative recognition that accounts for human behavior and neuroimaging data

PLOS Computational Biology

Jelmer P Borst

Sean Aubin

Terrence C Stewart

2023/9/8

Improving reinforcement learning with biologically motivated continuous state representations

Proceedings of the 21st International Conference on Cognitive Modeling

Madeleine Bartlett

Kathryn Simone

ND Dumont

M Furlong

Chris Eliasmith

...

2023

Powering the next-generation IoT applications: new tools and emerging technologies for the development of Neuromorphic System of Systems

Gianvito Urgese

Antonio Rios-Navarro

Alejandro Linares-Barranco

Terrence C Stewart

Konstantinos Michmizos

2023/5/4

Event-based stereopsis with wearable stereo vision demonstrator

Simon Roy

François-Michel De Rainville

Marc-Antoine Drouin

Simon Savary

Terrence Stewart

2023/8/1

Human activity recognition: suitability of a neuromorphic approach for on-edge AIoT applications

Neuromorphic Computing and Engineering

Vittorio Fra

Evelina Forno

Riccardo Pignari

Terrence C Stewart

Enrico Macii

...

2022/2/7

Think Fast: Time Control in Varying Paradigms of Spiking Neural Networks

Steven C Nesbit

Andrew O'Brien

Jocelyn Rego

Gavin Parpart

Carlos Gonzalez

...

2022/7/27

Voltage-dependent synaptic plasticity: Unsupervised probabilistic Hebbian plasticity rule based on neurons membrane potential

Frontiers in Neuroscience

Nikhil Garg

Ismael Balafrej

Terrence C Stewart

Jean-Michel Portal

Marc Bocquet

...

2022/10/21

Reinforcement Learning, Social Value Orientation, and Decision Making: Computational

Proceedings of the Annual Meeting of the Cognitive Science Society

Peter Duggins

Terrence C Stewart

Chris Eliasmith

2022

Optimizing Recurrent Spiking Neural Networks with Small Time Constants for Temporal Tasks

Yuan Zeng

Edward Jeffs

Terrence Stewart

Yevgeny Berdichevsky

Xiaochen Guo

2022/7/27

See List of Professors in Terrence C Stewart University(University of Waterloo)