Chris Eliasmith

Orcid: 0000-0003-2933-0209

According to our database1, Chris Eliasmith authored at least 133 papers between 1997 and 2024.

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Bibliography

2024
Biologically-Plausible Markov Chain Monte Carlo Sampling from Vector Symbolic Algebra-Encoded Distributions.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

2023
Neuromorphic control of a simulated 7-DOF arm using Loihi.
Neuromorph. Comput. Eng., March, 2023

2022
Constructing functional models from biophysically-detailed neurons.
PLoS Comput. Biol., September, 2022

Computational properties of multi-compartment LIF neurons with passive dendrites.
Neuromorph. Comput. Eng., 2022

Debugging using Orthogonal Gradient Descent.
CoRR, 2022

Fractional Binding in Vector Symbolic Architectures as Quasi-Probability Statements.
Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

A model of path integration that connects neural and symbolic representation.
Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Reinforcement Learning, Social Value Orientation, and Decision Making: Computational Models and Empirical Validation.
Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

2021
Connecting Biological Detail With Neural Computation: Application to the Cerebellar Granule-Golgi Microcircuit.
Top. Cogn. Sci., 2021

Comparing Loihi with a SpiNNaker 2 prototype on low-latency keyword spotting and adaptive robotic control.
Neuromorph. Comput. Eng., 2021

Simulating and Predicting Dynamical Systems With Spatial Semantic Pointers.
Neural Comput., 2021

Passive Nonlinear Dendritic Interactions as a Computational Resource in Spiking Neural Networks.
Neural Comput., 2021

Language Modeling using LMUs: 10x Better Data Efficiency or Improved Scaling Compared to Transformers.
CoRR, 2021

A Spiking Neural Network for Image Segmentation.
CoRR, 2021

Parallelizing Legendre Memory Unit Training.
Proceedings of the 38th International Conference on Machine Learning, 2021

Continuous then discrete: A recommendation for building robotic brains.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

A Neurocomputational Model of Prospective and Retrospective Timing.
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

2020
Nengo and Low-Power AI Hardware for Robust, Embedded Neurorobotics.
Frontiers Neurorobotics, 2020

Low-Power Low-Latency Keyword Spotting and Adaptive Control with a SpiNNaker 2 Prototype and Comparison with Loihi.
CoRR, 2020

Hardware Aware Training for Efficient Keyword Spotting on General Purpose and Specialized Hardware.
CoRR, 2020

A Spike in Performance: Training Hybrid-Spiking Neural Networks with Quantized Activation Functions.
CoRR, 2020

Event-Driven Signal Processing with Neuromorphic Computing Systems.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

A Biologically Plausible Spiking Neural Model of Eyeblink Conditioning in the Cerebellum.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Efficient navigation using a scalable, biologically inspired spatial representation.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Accurate representation for spatial cognition using grid cells.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

A spiking neural architecture for conscious chaining of mental operations.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

2019
Braindrop: A Mixed-Signal Neuromorphic Architecture With a Dynamical Systems-Based Programming Model.
Proc. IEEE, 2019

Vector-Derived Transformation Binding: An Improved Binding Operation for Deep Symbol-Like Processing in Neural Networks.
Neural Comput., 2019

Passive nonlinear dendritic interactions as a general computational resource in functional spiking neural networks.
CoRR, 2019

Legendre Memory Units: Continuous-Time Representation in Recurrent Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A Mixture-of-Experts Model for Vehicle Prediction Using an Online Learning Approach.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019

A Geometric Interpretation of Feedback Alignment.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Representing spatial relations with fractional binding.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

A neural representation of continuous space using fractional binding.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Hyperopt-Sklearn.
Proceedings of the Automated Machine Learning - Methods, Systems, Challenges, 2019

2018
Improving Spiking Dynamical Networks: Accurate Delays, Higher-Order Synapses, and Time Cells.
Neural Comput., 2018

Inhibiting Basal Ganglia Regions Reduces Syllable Sequencing Errors in Parkinson's Disease: A Computer Simulation Study.
Frontiers Comput. Neurosci., 2018

Benchmarking Keyword Spotting Efficiency on Neuromorphic Hardware.
CoRR, 2018

Implementing NEF Neural Networks on Embedded FPGAs.
Proceedings of the International Conference on Field-Programmable Technology, 2018

Supervised Learning of Action Selection in Cognitive Spiking Neuron Models.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2017
The Effects of Guanfacine and Phenylephrine on a Spiking Neuron Model of Working Memory.
Top. Cogn. Sci., 2017

Improving With Practice: A Neural Model of Mathematical Development.
Top. Cogn. Sci., 2017

Automatic Optimization of the Computation Graph in the Nengo Neural Network Simulator.
Frontiers Neuroinformatics, 2017

Point Neurons with Conductance-Based Synapses in the Neural Engineering Framework.
CoRR, 2017

Methods for applying the Neural Engineering Framework to neuromorphic hardware.
CoRR, 2017

An adaptive spiking neural controller for flapping insect-scale robots.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Extending the neural engineering framework for nonideal silicon synapses.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

A Spiking Neural Bayesian Model of Life Span Inference.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

A Biologically Constrained Model of Semantic Memory Search.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

A Spiking Independent Accumulator Model for Winner-Take-All Computation.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Inferential Role Semantics for Natural Language.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Continuous and Parallel: Challenges for a Standard Model of the Mind.
Proceedings of the 2017 AAAI Fall Symposia, Arlington, Virginia, USA, November 9-11, 2017, 2017

2016
Human-Inspired Neurorobotic System for Classifying Surface Textures by Touch.
IEEE Robotics Autom. Lett., 2016

Function approximation in inhibitory networks.
Neural Networks, 2016

Modeling Interactions between Speech Production and Perception: Speech Error Detection at Semantic and Phonological Levels and the Inner Speech Loop.
Frontiers Comput. Neurosci., 2016

Training Spiking Deep Networks for Neuromorphic Hardware.
CoRR, 2016

BioSpaun: A large-scale behaving brain model with complex neurons.
CoRR, 2016

Biologically Plausible, Human-Scale Knowledge Representation.
Cogn. Sci., 2016

Concepts as Semantic Pointers: A Framework and Computational Model.
Cogn. Sci., 2016

Efficient SpiNNaker simulation of a heteroassociative memory using the Neural Engineering Framework.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Real-Time FPGA Simulation of Surrogate Models of Large Spiking Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

A Neural Model of Context Dependent Decision Making in the Prefrontal Cortex.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Towards a Cognitively Realistic Representation of Word Associations.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

A scaleable spiking neural model of action planning.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

2015
Marr's Attacks: On Reductionism and Vagueness.
Top. Cogn. Sci., 2015

Spiking Deep Networks with LIF Neurons.
CoRR, 2015

A Spiking Neural Model of the n-Back Task.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Constraint-Based Parsing with Distributed Representations.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

2014
A Unifying Mechanistic Model of Selective Attention in Spiking Neurons.
PLoS Comput. Biol., 2014

Large-Scale Synthesis of Functional Spiking Neural Circuits.
Proc. IEEE, 2014

The Competing Benefits of Noise and Heterogeneity in Neural Coding.
Neural Comput., 2014

Hyperopt-Sklearn: Automatic Hyperparameter Configuration for Scikit-Learn.
Proceedings of the 13th Python in Science Conference, 2014

Mapping arbitrary mathematical functions and dynamical systems to neuromorphic VLSI circuits for spike-based neural computation.
Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014

Event-based neural computing on an autonomous mobile platform.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Sentence processing in spiking neurons: A biologically plausible left-corner parser.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

A neural model of hierarchical reinforcement learning.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Neural Field Coding of Short Term Memory.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Modeling speech production using the Neural Engineering Framework.
Proceedings of the 5th IEEE Conference on Cognitive Infocommunications, 2014

2013
Nengo: a Python tool for building large-scale functional brain models.
Frontiers Neuroinformatics, 2013

Spike-based learning of transfer functions with the SpiNNaker neuromimetic simulator.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Parsing Sequentially Presented Commands in a Large-Scale Biologically Realistic Brain Model.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

A neural reinforcement learning model for tasks with unknown time delays.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Visual motion processing and perceptual decision making.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

A Neural Model of Human Image Categorization.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

A General Purpose Architecture for Building Spiking Neuron Models of Biological Cognition.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

General Instruction Following in a Large-Scale Biologically Plausible Brain Model.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

A Neurally Plausible Encoding of Word Order Information into a Semantic Vector Space.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Simultaneous unsupervised and supervised learning of cognitive functions in biologically plausible spiking neural networks.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

2012
The Complex Systems Approach: Rhetoric or Revolution.
Top. Cogn. Sci., 2012

Real time on-chip implementation of dynamical systems with spiking neurons.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Silicon Neurons That Compute.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Spaun: A Perception-Cognition-Action Model Using Spiking Neurons.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Nengo and the Neural Engineering Framework: From Spikes to Cognition.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Thirty years of Marr's Vision: Levels of Analysis in Cognitive Science.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Live Demo: Spiking ratSLAM: Rat hippocampus cells in spiking neural hardware.
Proceedings of the 2012 IEEE Biomedical Circuits and Systems Conference, 2012

2011
A Neural Model of Rule Generation in Inductive Reasoning.
Top. Cogn. Sci., 2011

Neural representations of compositional structures: representing and manipulating vector spaces with spiking neurons.
Connect. Sci., 2011

A biologically realistic cleanup memory: Autoassociation in spiking neurons.
Cogn. Syst. Res., 2011

Normalization for probabilistic inference with neurons.
Biol. Cybern., 2011

A Brain-Machine Interface Operating with a Real-Time Spiking Neural Network Control Algorithm.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Neural Cognitive Modelling: A Biologically Constrained Spiking Neuron Model of the Tower of Hanoi Task.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Nengo and the Neural Engineering Framework: Connecting Cognitive Theory to Neuroscience.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Neural Planning and Reasoning Using the Synaptic Connections of the Basal Ganglia and Thalamus.
Proceedings of the Biologically Inspired Cognitive Architectures 2011, 2011

2010
Population Models of Temporal Differentiation.
Neural Comput., 2010

Concept Based Representations for Ranking in Geographic Information Retrieval.
Proceedings of the Advances in Natural Language Processing, 2010

Deep networks for robust visual recognition.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Neural Symbolic Decision Making: A Scalable and Realistic Foundation for Cognitive Architectures.
Proceedings of the Biologically Inspired Cognitive Architectures 2010, 2010

2009
Python scripting in the Nengo simulator.
Frontiers Neuroinformatics, 2009

Combining Text Vector Representations for Information Retrieval.
Proceedings of the Text, Speech and Dialogue, 12th International Conference, 2009

Representing Context Information for Document Retrieval.
Proceedings of the Flexible Query Answering Systems, 8th International Conference, 2009

2008
Solving the Problem of Negative Synaptic Weights in Cortical Models.
Neural Comput., 2008

Neural affective decision theory: Choices, brains, and emotions.
Cogn. Syst. Res., 2008

Methods for Augmenting Semantic Models with Structural Information for Text Classification.
Proceedings of the Advances in Information Retrieval , 2008

Integrating Structure and Meaning: A New Method for Encoding Structure for Text Classification.
Proceedings of the Advances in Information Retrieval , 2008

2007
How to build a brain: from function to implementation.
Synth., 2007

Attractor network.
Scholarpedia, 2007

2006
Is the Brain a Quantum Computer?
Cogn. Sci., 2006

2005
A Unified Approach to Building and Controlling Spiking Attractor Networks.
Neural Comput., 2005

A Controlled Attractor Network Model of Path Integration in the Rat.
J. Comput. Neurosci., 2005

Integrating behavioral and neural data in a model of zebrafish network interaction.
Biol. Cybern., 2005

Reports on the 2004 AAAI Fall Symposia.
AI Mag., 2005

2004
Understanding interactions between networks controlling distinct behaviours: Escape and swimming in larval zebrafish.
Neurocomputing, 2004

Learning Context Sensitive Logical Inference in a Neurobiolobical Simulation.
Proceedings of the Compositional Connectionism in Cognitive Science, 2004

2002
Discreteness and Relevance: A Reply to Roman Poznanski.
Minds Mach., 2002

The myth of the Turing machine: the failings of functionalism and related theses.
J. Exp. Theor. Artif. Intell., 2002

Linearly decodable functions from neural population codes.
Neurocomputing, 2002

A general framework for neurobiological modeling: an application to the vestibular system.
Neurocomputing, 2002

2001
Attractive and In-discrete.
Minds Mach., 2001

Beyond bumps: Spiking networks that store sets of functions.
Neurocomputing, 2001

Integrating structure and meaning: a distributed model of analogical mapping.
Cogn. Sci., 2001

2000
Rethinking central pattern generators: A general approach.
Neurocomputing, 2000

1999
Developing and applying a toolkit from a general neurocomputational framework.
Neurocomputing, 1999

1997
Computation and Dynamical Models of Mind.
Minds Mach., 1997


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