Chris Eliasmith

ORCID

Publication Activity (10 Years)

Years Active: 1997-2023
Publications (10 Years): 65

Top Venues

Publications

Travis DeWolf, Kinjal Patel, Pawel Jaworski, Roxana Leontie, Joe Hays, Chris Eliasmith
Neuromorphic control of a simulated 7-DOF arm using Loihi. Neuromorph. Comput. Eng. 3 (1) (2023)
Peter Duggins, Terrence C. Stewart, Chris Eliasmith
Reinforcement Learning, Social Value Orientation, and Decision Making: Computational Models and Empirical Validation. CogSci (2022)
Peter Duggins, Chris Eliasmith
Constructing functional models from biophysically-detailed neurons. PLoS Comput. Biol. 18 (9) (2022)
Nicole Sandra-Yaffa Dumont, Jeff Orchard, Chris Eliasmith
A model of path integration that connects neural and symbolic representation. CogSci (2022)
P. Michael Furlong, Chris Eliasmith
Fractional Binding in Vector Symbolic Architectures as Quasi-Probability Statements. CogSci (2022)
Narsimha Chilkuri, Chris Eliasmith
Debugging using Orthogonal Gradient Descent. CoRR (2022)
Andreas Stöckel, Chris Eliasmith
Computational properties of multi-compartment LIF neurons with passive dendrites. Neuromorph. Comput. Eng. 2 (2) (2022)
Narsimha Reddy Chilkuri, Chris Eliasmith
Parallelizing Legendre Memory Unit Training. ICML (2021)
Andreas Stöckel, Terrence C. Stewart, Chris Eliasmith
Connecting Biological Detail With Neural Computation: Application to the Cerebellar Granule-Golgi Microcircuit. Top. Cogn. Sci. 13 (3) (2021)
Aaron R. Voelker, Peter Blouw, Xuan Choo, Nicole Sandra-Yaffa Dumont, Terrence C. Stewart, Chris Eliasmith
Simulating and Predicting Dynamical Systems With Spatial Semantic Pointers. Neural Comput. 33 (8) (2021)
Andreas Stöckel, Chris Eliasmith
Passive Nonlinear Dendritic Interactions as a Computational Resource in Spiking Neural Networks. Neural Comput. 33 (1) (2021)
Narsimha Chilkuri, Eric Hunsberger, Aaron Voelker, Gurshaant Malik, Chris Eliasmith
Language Modeling using LMUs: 10x Better Data Efficiency or Improved Scaling Compared to Transformers. CoRR (2021)
Yexin Yan, Terrence C. Stewart, Xuan Choo, Bernhard Vogginger, Johannes Partzsch, Sebastian Höppner, Florian Kelber, Chris Eliasmith, Steve B. Furber, Christian Mayr
Comparing Loihi with a SpiNNaker 2 prototype on low-latency keyword spotting and adaptive robotic control. Neuromorph. Comput. Eng. 1 (1) (2021)
Chris Eliasmith, P. Michael Furlong
Continuous then discrete: A recommendation for building robotic brains. CoRL (2021)
Kinjal Patel, Eric Hunsberger, Sean Batir, Chris Eliasmith
A Spiking Neural Network for Image Segmentation. CoRR (2021)
Joost de Jong, Aaron R. Voelker, Terrence C. Stewart, Chris Eliasmith, Elkan G. Akyürek, Hedderik van Rijn
A Neurocomputational Model of Prospective and Retrospective Timing. CogSci (2021)
Narsimha Chilkuri, Chris Eliasmith
Parallelizing Legendre Memory Unit Training. CoRR (2021)
Peter Blouw, Gurshaant Malik, Benjamin Morcos, Aaron R. Voelker, Chris Eliasmith
Hardware Aware Training for Efficient Keyword Spotting on General Purpose and Specialized Hardware. CoRR (2020)
Travis DeWolf, Pawel Jaworski, Chris Eliasmith
Nengo and low-power AI hardware for robust, embedded neurorobotics. CoRR (2020)
Yexin Yan, Terrence C. Stewart, Xuan Choo, Bernhard Vogginger, Johannes Partzsch, Sebastian Höppner, Florian Kelber, Chris Eliasmith, Steve B. Furber, Christian Mayr
Low-Power Low-Latency Keyword Spotting and Adaptive Control with a SpiNNaker 2 Prototype and Comparison with Loihi. CoRR (2020)
Andreas Stöckel, Terrence C. Stewart, Chris Eliasmith
A Biologically Plausible Spiking Neural Model of Eyeblink Conditioning in the Cerebellum. CogSci (2020)
Nicole Dumont, Chris Eliasmith
Accurate representation for spatial cognition using grid cells. CogSci (2020)
Brent Komer, Chris Eliasmith
Efficient navigation using a scalable, biologically inspired spatial representation. CogSci (2020)
Hugo Chateau-Laurent, Chris Eliasmith, Serge Thill
A spiking neural architecture for conscious chaining of mental operations. CogSci (2020)
Travis DeWolf, Pawel Jaworski, Chris Eliasmith
Nengo and Low-Power AI Hardware for Robust, Embedded Neurorobotics. Frontiers Neurorobotics 14 (2020)
Aaron R. Voelker, Daniel Rasmussen, Chris Eliasmith
A Spike in Performance: Training Hybrid-Spiking Neural Networks with Quantized Activation Functions. CoRR (2020)
Peter Blouw, Chris Eliasmith
Event-Driven Signal Processing with Neuromorphic Computing Systems. ICASSP (2020)
Florian Mirus, Terrence C. Stewart, Chris Eliasmith, Jörg Conradt
A Mixture-of-Experts Model for Vehicle Prediction Using an Online Learning Approach. ICANN (3) (2019)
Aaron Voelker, Ivana Kajic, Chris Eliasmith
Legendre Memory Units: Continuous-Time Representation in Recurrent Neural Networks. NeurIPS (2019)
Andreas Stöckel, Chris Eliasmith
Passive nonlinear dendritic interactions as a general computational resource in functional spiking neural networks. CoRR (2019)
Thomas Lu, Aaron Voelker, Brent Komer, Chris Eliasmith
Representing spatial relations with fractional binding. CogSci (2019)
Alexander Neckar, Sam Fok, Ben Varkey Benjamin, Terrence C. Stewart, Nick N. Oza, Aaron R. Voelker, Chris Eliasmith, Rajit Manohar, Kwabena Boahen
Braindrop: A Mixed-Signal Neuromorphic Architecture With a Dynamical Systems-Based Programming Model. Proc. IEEE 107 (1) (2019)
Andreas Stöckel, Terrence C. Stewart, Chris Eliasmith
A Geometric Interpretation of Feedback Alignment. CogSci (2019)
Brent Komer, Terrence C. Stewart, Aaron Voelker, Chris Eliasmith
A neural representation of continuous space using fractional binding. CogSci (2019)
Jan Gosmann, Chris Eliasmith
Vector-Derived Transformation Binding: An Improved Binding Operation for Deep Symbol-Like Processing in Neural Networks. Neural Comput. 31 (5) (2019)
Benjamin Morcos, Terrence C. Stewart, Chris Eliasmith, Nachiket Kapre
Implementing NEF Neural Networks on Embedded FPGAs. FPT (2018)
Valentin Senft, Terrence C. Stewart, Trevor Bekolay, Chris Eliasmith, Bernd J. Kröger
Inhibiting Basal Ganglia Regions Reduces Syllable Sequencing Errors in Parkinson's Disease: A Computer Simulation Study. Frontiers Comput. Neurosci. 12 (2018)
Aaron R. Voelker, Chris Eliasmith
Improving Spiking Dynamical Networks: Accurate Delays, Higher-Order Synapses, and Time Cells. Neural Comput. 30 (3) (2018)
Terrence C. Stewart, Sverrir Thorgeirsson, Chris Eliasmith
Supervised Learning of Action Selection in Cognitive Spiking Neuron Models. CogSci (2018)
Peter Blouw, Xuan Choo, Eric Hunsberger, Chris Eliasmith
Benchmarking Keyword Spotting Efficiency on Neuromorphic Hardware. CoRR (2018)
Jan Gosmann, Aaron Voelker, Chris Eliasmith
A Spiking Independent Accumulator Model for Winner-Take-All Computation. CogSci (2017)
Jan Gosmann, Chris Eliasmith
Automatic Optimization of the Computation Graph in the Nengo Neural Network Simulator. Frontiers Neuroinformatics 11 (2017)
Taylor S. Clawson, Terrence C. Stewart, Chris Eliasmith, Silvia Ferrari
An adaptive spiking neural controller for flapping insect-scale robots. SSCI (2017)
Aaron R. Voelker, Ben Varkey Benjamin, Terrence C. Stewart, Kwabena Boahen, Chris Eliasmith
Extending the neural engineering framework for nonideal silicon synapses. ISCAS (2017)
Ivana Kajic, Jan Gosmann, Brent Komer, Ryan W. Orr, Terrence C. Stewart, Chris Eliasmith
A Biologically Constrained Model of Semantic Memory Search. CogSci (2017)
Sugandha Sharma, Aaron Voelker, Chris Eliasmith
A Spiking Neural Bayesian Model of Life Span Inference. CogSci (2017)
Andreas Stöckel, Aaron R. Voelker, Chris Eliasmith
Point Neurons with Conductance-Based Synapses in the Neural Engineering Framework. CoRR (2017)
Sean Aubin, Aaron R. Voelker, Chris Eliasmith
Improving With Practice: A Neural Model of Mathematical Development. Top. Cogn. Sci. 9 (1) (2017)
Aaron R. Voelker, Chris Eliasmith
Methods for applying the Neural Engineering Framework to neuromorphic hardware. CoRR (2017)
Peter Blouw, Chris Eliasmith
Inferential Role Semantics for Natural Language. CogSci (2017)
Peter Duggins, Terrence C. Stewart, Xuan Choo, Chris Eliasmith
The Effects of Guanfacine and Phenylephrine on a Spiking Neuron Model of Working Memory. Top. Cogn. Sci. 9 (1) (2017)
Terrence C. Stewart, Chris Eliasmith
Continuous and Parallel: Challenges for a Standard Model of the Mind. AAAI Fall Symposia (2017)
Sugandha Sharma, Brent Komer, Terrence C. Stewart, Chris Eliasmith
A Neural Model of Context Dependent Decision Making in the Prefrontal Cortex. CogSci (2016)
Bernd J. Kröger, Eric Crawford, Trevor Bekolay, Chris Eliasmith
Modeling Interactions between Speech Production and Perception: Speech Error Detection at Semantic and Phonological Levels and the Inner Speech Loop. Frontiers Comput. Neurosci. 10 (2016)
Peter Blouw, Chris Eliasmith, Bryan P. Tripp
A scaleable spiking neural model of action planning. CogSci (2016)
Eric Hunsberger, Chris Eliasmith
Training Spiking Deep Networks for Neuromorphic Hardware. CoRR (2016)
Eric Crawford, Matthew Gingerich, Chris Eliasmith
Biologically Plausible, Human-Scale Knowledge Representation. Cogn. Sci. 40 (4) (2016)
Bryan P. Tripp, Chris Eliasmith
Function approximation in inhibitory networks. Neural Networks 77 (2016)
Chris Eliasmith, Jan Gosmann, Xuan Choo
BioSpaun: A large-scale behaving brain model with complex neurons. CoRR (2016)
Murphy Berzish, Chris Eliasmith, Bryan P. Tripp
Real-Time FPGA Simulation of Surrogate Models of Large Spiking Networks. ICANN (1) (2016)
Sean Aubin, Aaron Voelker, Chris Eliasmith
Improving with Practice: A Neural Model of Mathematical Development. CogSci (2016)
Ivana Kajic, Jan Gosmann, Terrence C. Stewart, Thomas Wennekers, Chris Eliasmith
Towards a Cognitively Realistic Representation of Word Associations. CogSci (2016)
Peter Blouw, Eugene Solodkin, Paul Thagard, Chris Eliasmith
Concepts as Semantic Pointers: A Framework and Computational Model. Cogn. Sci. 40 (5) (2016)
James C. Knight, Aaron R. Voelker, Andrew Mundy, Chris Eliasmith, Steve B. Furber
Efficient SpiNNaker simulation of a heteroassociative memory using the Neural Engineering Framework. IJCNN (2016)
Ken E. Friedl, Aaron R. Voelker, Angelika Peer, Chris Eliasmith
Human-Inspired Neurorobotic System for Classifying Surface Textures by Touch. IEEE Robotics Autom. Lett. 1 (1) (2016)
Peter Blouw, Chris Eliasmith
Constraint-Based Parsing with Distributed Representations. CogSci (2015)
Jan Gosmann, Chris Eliasmith
A Spiking Neural Model of the n-Back Task. CogSci (2015)
Chris Eliasmith, Carter Kolbeck
Marr's Attacks: On Reductionism and Vagueness. Top. Cogn. Sci. 7 (2) (2015)
Eric Hunsberger, Chris Eliasmith
Spiking Deep Networks with LIF Neurons. CoRR (2015)
Bernd J. Kröger, Trevor Bekolay, Chris Eliasmith
Modeling speech production using the Neural Engineering Framework. CogInfoCom (2014)
Brent Komer, James Bergstra, Chris Eliasmith
Hyperopt-Sklearn: Automatic Hyperparameter Configuration for Scikit-Learn. SciPy (2014)
Terrence C. Stewart, Chris Eliasmith
Large-Scale Synthesis of Functional Spiking Neural Circuits. Proc. IEEE 102 (5) (2014)
Daniel Rasmussen, Chris Eliasmith
A neural model of hierarchical reinforcement learning. CogSci (2014)
Eric Hunsberger, Matthew Scott, Chris Eliasmith
The Competing Benefits of Noise and Heterogeneity in Neural Coding. Neural Comput. 26 (8) (2014)
Federico Corradi, Chris Eliasmith, Giacomo Indiveri
Mapping arbitrary mathematical functions and dynamical systems to neuromorphic VLSI circuits for spike-based neural computation. ISCAS (2014)
Terrence C. Stewart, Feng-Xuan Choo, Chris Eliasmith
Sentence processing in spiking neurons: A biologically plausible left-corner parser. CogSci (2014)
Francesco Galluppi, Christian Denk, Matthias C. Meiner, Terrence C. Stewart, Luis A. Plana, Chris Eliasmith, Stephen B. Furber, Jörg Conradt
Event-based neural computing on an autonomous mobile platform. ICRA (2014)
Dimitris A. Pinotsis, Chris Eliasmith
Neural Field Coding of Short Term Memory. CogSci (2014)
Bruce Bobier, Terrence C. Stewart, Chris Eliasmith
A Unifying Mechanistic Model of Selective Attention in Spiking Neurons. PLoS Comput. Biol. 10 (6) (2014)
Trevor Bekolay, James Bergstra, Eric Hunsberger, Travis DeWolf, Terrence C. Stewart, Daniel Rasmussen, Feng-Xuan Choo, Aaron Voelker, Chris Eliasmith
Nengo: a Python tool for building large-scale functional brain models. Frontiers Neuroinformatics 7 (2013)
Eric Hunsberger, Peter Blouw, James Bergstra, Chris Eliasmith
A Neural Model of Human Image Categorization. CogSci (2013)
Feng-Xuan Choo, Chris Eliasmith
General Instruction Following in a Large-Scale Biologically Plausible Brain Model. CogSci (2013)
Eric Crawford, Matthew Gingerich, Chris Eliasmith
Biologically Plausible, Human-scale Knowledge Representation. CogSci (2013)
Daniel Rasmussen, Chris Eliasmith
A neural reinforcement learning model for tasks with unknown time delays. CogSci (2013)
Peter Blouw, Chris Eliasmith
A Neurally Plausible Encoding of Word Order Information into a Semantic Vector Space. CogSci (2013)
Sergio Davies, Terry C. Stewart, Chris Eliasmith, Steve B. Furber
Spike-based learning of transfer functions with the SpiNNaker neuromimetic simulator. IJCNN (2013)
Chris Eliasmith, Terrence C. Stewart
A General Purpose Architecture for Building Spiking Neuron Models of Biological Cognition. CogSci (2013)
Terrence C. Stewart, Chris Eliasmith
Parsing Sequentially Presented Commands in a Large-Scale Biologically Realistic Brain Model. CogSci (2013)
Aziz Hurzook, Oliver Trujillo, Chris Eliasmith
Visual motion processing and perceptual decision making. CogSci (2013)
Trevor Bekolay, Carter Kolbeck, Chris Eliasmith
Simultaneous unsupervised and supervised learning of cognitive functions in biologically plausible spiking neural networks. CogSci (2013)
Francesco Galluppi, Jörg Conradt, Terrence C. Stewart, Chris Eliasmith, Timothy K. Horiuchi, Jonathan Tapson, Bryan P. Tripp, Steve B. Furber, Ralph Etienne-Cummings
Live Demo: Spiking ratSLAM: Rat hippocampus cells in spiking neural hardware. BioCAS (2012)
Francesco Galluppi, Sergio Davies, Steve B. Furber, Terry C. Stewart, Chris Eliasmith
Real time on-chip implementation of dynamical systems with spiking neurons. IJCNN (2012)
Terrence C. Stewart, Feng-Xuan Choo, Chris Eliasmith
Spaun: A Perception-Cognition-Action Model Using Spiking Neurons. CogSci (2012)
Chris Eliasmith, Thomas L. Griffiths, Valerie Gray Hardcastle, Bradley C. Love, William Bechtel, Richard P. Cooper, David Peebles
Thirty years of Marr's Vision: Levels of Analysis in Cognitive Science. CogSci (2012)
Chris Eliasmith, Terrence C. Stewart
Nengo and the Neural Engineering Framework: From Spikes to Cognition. CogSci (2012)
Swadesh Choudhary, Steven Sloan, Sam Fok, Alexander Neckar, Eric Trautmann, Peiran Gao, Terry C. Stewart, Chris Eliasmith, Kwabena Boahen
Silicon Neurons That Compute. ICANN (1) (2012)
Chris Eliasmith
The Complex Systems Approach: Rhetoric or Revolution. Top. Cogn. Sci. 4 (1) (2012)
Chris Eliasmith, James Martens
Normalization for probabilistic inference with neurons. Biol. Cybern. 104 (4-5) (2011)
Chris Eliasmith, Terrence C. Stewart
Nengo and the Neural Engineering Framework: Connecting Cognitive Theory to Neuroscience. CogSci (2011)
Daniel Rasmussen, Chris Eliasmith
A Neural Model of Rule Generation in Inductive Reasoning. Top. Cogn. Sci. 3 (1) (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Chris Eliasmith