Chris Eliasmith

143 papers A* 5A 2B 43C 4Misc 2Journal 69Unranked 17

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	A Cognitively Plausible Visual Working Memory Model. CogSci Anna Penzkofer, P. Michael Furlong, Chris Eliasmith, Andreas Bulling
2025	—	`conf`	Biologically-Inspired Representations for Adaptive Control with Spatial Semantic Pointers. NICE Graeme Damberger, Kathryn Simone, Chandan Datta, Ram Eshwar Kaundinya, Juan Escareño, Chris Eliasmith
2025	A*	`conf`	Improving Rule-based Reasoning in LLMs using Neurosymbolic Representations. EMNLP Varun Dhanraj, Chris Eliasmith
2025	J	`jnl`	Improving Rule-based Reasoning in LLMs via Neurosymbolic Representations. CoRR Varun Dhanraj, Chris Eliasmith
2025	C	`conf`	Model Predictive Control in the Legendre Domain. ACC Graeme Damberger, Chris Eliasmith
2025	J	`jnl`	Vector Symbolic Algebras for the Abstraction and Reasoning Corpus. CoRR Isaac Joffe, Chris Eliasmith
2024	—	`conf`	Biologically-Plausible Markov Chain Monte Carlo Sampling from Vector Symbolic Algebra-Encoded Distributions. ICANN (4) P. Michael Furlong, Kathryn Simone, Nicole Sandra-Yaffa Dumont, Madeleine Bartlett, Terrence C. Stewart, Jeff Orchard, Chris Eliasmith
2023	J	`jnl`	Neuromorphic control of a simulated 7-DOF arm using Loihi. Neuromorph. Comput. Eng. Travis DeWolf, Kinjal Patel, Pawel Jaworski, Roxana Leontie, Joe Hays, Chris Eliasmith
2022	B	`conf`	A model of path integration that connects neural and symbolic representation. CogSci Nicole Sandra-Yaffa Dumont, Jeff Orchard, Chris Eliasmith
2022	J	`jnl`	Computational properties of multi-compartment LIF neurons with passive dendrites. Neuromorph. Comput. Eng. Andreas Stöckel, Chris Eliasmith
2022	J	`jnl`	Constructing functional models from biophysically-detailed neurons. PLoS Comput. Biol. Peter Duggins, Chris Eliasmith
2022	J	`jnl`	Debugging using Orthogonal Gradient Descent. CoRR Narsimha Chilkuri, Chris Eliasmith
2022	B	`conf`	Fractional Binding in Vector Symbolic Architectures as Quasi-Probability Statements. CogSci P. Michael Furlong, Chris Eliasmith
2022	B	`conf`	Reinforcement Learning, Social Value Orientation, and Decision Making: Computational Models and Empirical Validation. CogSci Peter Duggins, Terrence C. Stewart, Chris Eliasmith
2021	B	`conf`	A Neurocomputational Model of Prospective and Retrospective Timing. CogSci Joost de Jong, Aaron R. Voelker, Terrence C. Stewart, Chris Eliasmith, Elkan G. Akyürek, Hedderik van Rijn
2021	J	`jnl`	A Spiking Neural Network for Image Segmentation. CoRR Kinjal Patel, Eric Hunsberger, Sean Batir, Chris Eliasmith
2021	J	`jnl`	Comparing Loihi with a SpiNNaker 2 prototype on low-latency keyword spotting and adaptive robotic control. Neuromorph. Comput. Eng. Yexin Yan, Terrence C. Stewart, Xuan Choo, Bernhard Vogginger, Johannes Partzsch, Sebastian Höppner, Florian Kelber, Chris Eliasmith, Steve B. Furber, Christian Mayr
2021	J	`jnl`	Connecting Biological Detail With Neural Computation: Application to the Cerebellar Granule-Golgi Microcircuit. Top. Cogn. Sci. Andreas Stöckel, Terrence C. Stewart, Chris Eliasmith
2021	Misc	`conf`	Continuous then discrete: A recommendation for building robotic brains. CoRL Chris Eliasmith, P. Michael Furlong
2021	J	`jnl`	Language Modeling using LMUs: 10x Better Data Efficiency or Improved Scaling Compared to Transformers. CoRR Narsimha Chilkuri, Eric Hunsberger, Aaron Voelker, Gurshaant Malik, Chris Eliasmith
2021	A*	`conf`	Parallelizing Legendre Memory Unit Training. ICML Narsimha Reddy Chilkuri, Chris Eliasmith
2021	J	`jnl`	Parallelizing Legendre Memory Unit Training. CoRR Narsimha Chilkuri, Chris Eliasmith
2021	J	`jnl`	Passive Nonlinear Dendritic Interactions as a Computational Resource in Spiking Neural Networks. Neural Comput. Andreas Stöckel, Chris Eliasmith
2021	J	`jnl`	Simulating and Predicting Dynamical Systems With Spatial Semantic Pointers. Neural Comput. Aaron R. Voelker, Peter Blouw, Xuan Choo, Nicole Sandra-Yaffa Dumont, Terrence C. Stewart, Chris Eliasmith
2020	B	`conf`	A Biologically Plausible Spiking Neural Model of Eyeblink Conditioning in the Cerebellum. CogSci Andreas Stöckel, Terrence C. Stewart, Chris Eliasmith
2020	J	`jnl`	A Spike in Performance: Training Hybrid-Spiking Neural Networks with Quantized Activation Functions. CoRR Aaron R. Voelker, Daniel Rasmussen, Chris Eliasmith
2020	B	`conf`	A spiking neural architecture for conscious chaining of mental operations. CogSci Hugo Chateau-Laurent, Chris Eliasmith, Serge Thill
2020	B	`conf`	Accurate representation for spatial cognition using grid cells. CogSci Nicole Dumont, Chris Eliasmith
2020	B	`conf`	Efficient navigation using a scalable, biologically inspired spatial representation. CogSci Brent Komer, Chris Eliasmith
2020	Misc	`conf`	Event-Driven Signal Processing with Neuromorphic Computing Systems. ICASSP Peter Blouw, Chris Eliasmith
2020	J	`jnl`	Hardware Aware Training for Efficient Keyword Spotting on General Purpose and Specialized Hardware. CoRR Peter Blouw, Gurshaant Malik, Benjamin Morcos, Aaron R. Voelker, Chris Eliasmith
2020	J	`jnl`	Low-Power Low-Latency Keyword Spotting and Adaptive Control with a SpiNNaker 2 Prototype and Comparison with Loihi. CoRR Yexin Yan, Terrence C. Stewart, Xuan Choo, Bernhard Vogginger, Johannes Partzsch, Sebastian Höppner, Florian Kelber, Chris Eliasmith, Steve B. Furber, Christian Mayr
2020	J	`jnl`	Nengo and Low-Power AI Hardware for Robust, Embedded Neurorobotics. Frontiers Neurorobotics Travis DeWolf, Pawel Jaworski, Chris Eliasmith
2020	J	`jnl`	Nengo and low-power AI hardware for robust, embedded neurorobotics. CoRR Travis DeWolf, Pawel Jaworski, Chris Eliasmith
2019	B	`conf`	A Geometric Interpretation of Feedback Alignment. CogSci Andreas Stöckel, Terrence C. Stewart, Chris Eliasmith
2019	—	`conf`	A Mixture-of-Experts Model for Vehicle Prediction Using an Online Learning Approach. ICANN (3) Florian Mirus, Terrence C. Stewart, Chris Eliasmith, Jörg Conradt
2019	B	`conf`	A neural representation of continuous space using fractional binding. CogSci Brent Komer, Terrence C. Stewart, Aaron Voelker, Chris Eliasmith
2019	J	`jnl`	Braindrop: A Mixed-Signal Neuromorphic Architecture With a Dynamical Systems-Based Programming Model. Proc. IEEE Alexander Neckar, Sam Fok, Ben Varkey Benjamin, Terrence C. Stewart, Nick N. Oza, Aaron R. Voelker, Chris Eliasmith, Rajit Manohar, Kwabena Boahen
2019	—	`ch.`	Hyperopt-Sklearn. Automated Machine Learning Brent Komer, James Bergstra, Chris Eliasmith
2019	A*	`conf`	Legendre Memory Units: Continuous-Time Representation in Recurrent Neural Networks. NeurIPS Aaron Voelker, Ivana Kajic, Chris Eliasmith
2019	J	`jnl`	Passive nonlinear dendritic interactions as a general computational resource in functional spiking neural networks. CoRR Andreas Stöckel, Chris Eliasmith
2019	B	`conf`	Representing spatial relations with fractional binding. CogSci Thomas Lu, Aaron Voelker, Brent Komer, Chris Eliasmith
2019	J	`jnl`	Vector-Derived Transformation Binding: An Improved Binding Operation for Deep Symbol-Like Processing in Neural Networks. Neural Comput. Jan Gosmann, Chris Eliasmith
2018	J	`jnl`	Benchmarking Keyword Spotting Efficiency on Neuromorphic Hardware. CoRR Peter Blouw, Xuan Choo, Eric Hunsberger, Chris Eliasmith
2018	—	`conf`	Implementing NEF Neural Networks on Embedded FPGAs. FPT Benjamin Morcos, Terrence C. Stewart, Chris Eliasmith, Nachiket Kapre
2018	J	`jnl`	Improving Spiking Dynamical Networks: Accurate Delays, Higher-Order Synapses, and Time Cells. Neural Comput. Aaron R. Voelker, Chris Eliasmith
2018	J	`jnl`	Inhibiting Basal Ganglia Regions Reduces Syllable Sequencing Errors in Parkinson's Disease: A Computer Simulation Study. Frontiers Comput. Neurosci. Valentin Senft, Terrence C. Stewart, Trevor Bekolay, Chris Eliasmith, Bernd J. Kröger
2018	B	`conf`	Supervised Learning of Action Selection in Cognitive Spiking Neuron Models. CogSci Terrence C. Stewart, Sverrir Thorgeirsson, Chris Eliasmith
2017	B	`conf`	A Biologically Constrained Model of Semantic Memory Search. CogSci Ivana Kajic, Jan Gosmann, Brent Komer, Ryan W. Orr, Terrence C. Stewart, Chris Eliasmith
2017	B	`conf`	A Spiking Independent Accumulator Model for Winner-Take-All Computation. CogSci Jan Gosmann, Aaron Voelker, Chris Eliasmith
2017	B	`conf`	A Spiking Neural Bayesian Model of Life Span Inference. CogSci Sugandha Sharma, Aaron Voelker, Chris Eliasmith
2017	—	`conf`	An adaptive spiking neural controller for flapping insect-scale robots. SSCI Taylor S. Clawson, Terrence C. Stewart, Chris Eliasmith, Silvia Ferrari
2017	J	`jnl`	Automatic Optimization of the Computation Graph in the Nengo Neural Network Simulator. Frontiers Neuroinformatics Jan Gosmann, Chris Eliasmith
2017	—	`conf`	Continuous and Parallel: Challenges for a Standard Model of the Mind. AAAI Fall Symposia Terrence C. Stewart, Chris Eliasmith
2017	C	`conf`	Extending the neural engineering framework for nonideal silicon synapses. ISCAS Aaron R. Voelker, Ben Varkey Benjamin, Terrence C. Stewart, Kwabena Boahen, Chris Eliasmith
2017	J	`jnl`	Improving With Practice: A Neural Model of Mathematical Development. Top. Cogn. Sci. Sean Aubin, Aaron R. Voelker, Chris Eliasmith
2017	B	`conf`	Inferential Role Semantics for Natural Language. CogSci Peter Blouw, Chris Eliasmith
2017	J	`jnl`	Methods for applying the Neural Engineering Framework to neuromorphic hardware. CoRR Aaron R. Voelker, Chris Eliasmith
2017	J	`jnl`	Point Neurons with Conductance-Based Synapses in the Neural Engineering Framework. CoRR Andreas Stöckel, Aaron R. Voelker, Chris Eliasmith
2017	J	`jnl`	The Effects of Guanfacine and Phenylephrine on a Spiking Neuron Model of Working Memory. Top. Cogn. Sci. Peter Duggins, Terrence C. Stewart, Xuan Choo, Chris Eliasmith
2016	B	`conf`	A Neural Model of Context Dependent Decision Making in the Prefrontal Cortex. CogSci Sugandha Sharma, Brent Komer, Terrence C. Stewart, Chris Eliasmith
2016	B	`conf`	A scaleable spiking neural model of action planning. CogSci Peter Blouw, Chris Eliasmith, Bryan P. Tripp
2016	J	`jnl`	BioSpaun: A large-scale behaving brain model with complex neurons. CoRR Chris Eliasmith, Jan Gosmann, Xuan Choo
2016	J	`jnl`	Biologically Plausible, Human-Scale Knowledge Representation. Cogn. Sci. Eric Crawford, Matthew Gingerich, Chris Eliasmith
2016	J	`jnl`	Concepts as Semantic Pointers: A Framework and Computational Model. Cogn. Sci. Peter Blouw, Eugene Solodkin, Paul Thagard, Chris Eliasmith
2016	B	`conf`	Efficient SpiNNaker simulation of a heteroassociative memory using the Neural Engineering Framework. IJCNN James C. Knight, Aaron R. Voelker, Andrew Mundy, Chris Eliasmith, Steve B. Furber
2016	J	`jnl`	Function approximation in inhibitory networks. Neural Networks Bryan P. Tripp, Chris Eliasmith
2016	J	`jnl`	Human-Inspired Neurorobotic System for Classifying Surface Textures by Touch. IEEE Robotics Autom. Lett. Ken E. Friedl, Aaron R. Voelker, Angelika Peer, Chris Eliasmith
2016	B	`conf`	Improving with Practice: A Neural Model of Mathematical Development. CogSci Sean Aubin, Aaron Voelker, Chris Eliasmith
2016	J	`jnl`	Modeling Interactions between Speech Production and Perception: Speech Error Detection at Semantic and Phonological Levels and the Inner Speech Loop. Frontiers Comput. Neurosci. Bernd J. Kröger, Eric Crawford, Trevor Bekolay, Chris Eliasmith
2016	—	`conf`	Real-Time FPGA Simulation of Surrogate Models of Large Spiking Networks. ICANN (1) Murphy Berzish, Chris Eliasmith, Bryan P. Tripp
2016	B	`conf`	Towards a Cognitively Realistic Representation of Word Associations. CogSci Ivana Kajic, Jan Gosmann, Terrence C. Stewart, Thomas Wennekers, Chris Eliasmith
2016	J	`jnl`	Training Spiking Deep Networks for Neuromorphic Hardware. CoRR Eric Hunsberger, Chris Eliasmith
2015	B	`conf`	A Spiking Neural Model of the n-Back Task. CogSci Jan Gosmann, Chris Eliasmith
2015	B	`conf`	Constraint-Based Parsing with Distributed Representations. CogSci Peter Blouw, Chris Eliasmith
2015	J	`jnl`	Marr's Attacks: On Reductionism and Vagueness. Top. Cogn. Sci. Chris Eliasmith, Carter Kolbeck
2015	J	`jnl`	Spiking Deep Networks with LIF Neurons. CoRR Eric Hunsberger, Chris Eliasmith
2014	J	`jnl`	A Unifying Mechanistic Model of Selective Attention in Spiking Neurons. PLoS Comput. Biol. Bruce Bobier, Terrence C. Stewart, Chris Eliasmith
2014	B	`conf`	A neural model of hierarchical reinforcement learning. CogSci Daniel Rasmussen, Chris Eliasmith
2014	A*	`conf`	Event-based neural computing on an autonomous mobile platform. ICRA Francesco Galluppi, Christian Denk, Matthias C. Meiner, Terrence C. Stewart, Luis A. Plana, Chris Eliasmith, Stephen B. Furber, Jörg Conradt
2014	—	`conf`	Hyperopt-Sklearn: Automatic Hyperparameter Configuration for Scikit-Learn. SciPy Brent Komer, James Bergstra, Chris Eliasmith
2014	J	`jnl`	Large-Scale Synthesis of Functional Spiking Neural Circuits. Proc. IEEE Terrence C. Stewart, Chris Eliasmith
2014	C	`conf`	Mapping arbitrary mathematical functions and dynamical systems to neuromorphic VLSI circuits for spike-based neural computation. ISCAS Federico Corradi, Chris Eliasmith, Giacomo Indiveri
2014	—	`conf`	Modeling speech production using the Neural Engineering Framework. CogInfoCom Bernd J. Kröger, Trevor Bekolay, Chris Eliasmith
2014	B	`conf`	Neural Field Coding of Short Term Memory. CogSci Dimitris A. Pinotsis, Chris Eliasmith
2014	B	`conf`	Sentence processing in spiking neurons: A biologically plausible left-corner parser. CogSci Terrence C. Stewart, Feng-Xuan Choo, Chris Eliasmith
2014	J	`jnl`	The Competing Benefits of Noise and Heterogeneity in Neural Coding. Neural Comput. Eric Hunsberger, Matthew Scott, Chris Eliasmith
2013	B	`conf`	A General Purpose Architecture for Building Spiking Neuron Models of Biological Cognition. CogSci Chris Eliasmith, Terrence C. Stewart
2013	B	`conf`	A Neural Model of Human Image Categorization. CogSci Eric Hunsberger, Peter Blouw, James Bergstra, Chris Eliasmith
2013	B	`conf`	A Neurally Plausible Encoding of Word Order Information into a Semantic Vector Space. CogSci Peter Blouw, Chris Eliasmith
2013	B	`conf`	A neural reinforcement learning model for tasks with unknown time delays. CogSci Daniel Rasmussen, Chris Eliasmith
2013	B	`conf`	Biologically Plausible, Human-scale Knowledge Representation. CogSci Eric Crawford, Matthew Gingerich, Chris Eliasmith
2013	B	`conf`	General Instruction Following in a Large-Scale Biologically Plausible Brain Model. CogSci Feng-Xuan Choo, Chris Eliasmith
2013	J	`jnl`	Nengo: a Python tool for building large-scale functional brain models. Frontiers Neuroinformatics Trevor Bekolay, James Bergstra, Eric Hunsberger, Travis DeWolf, Terrence C. Stewart, Daniel Rasmussen, Feng-Xuan Choo, Aaron Voelker, Chris Eliasmith
2013	B	`conf`	Parsing Sequentially Presented Commands in a Large-Scale Biologically Realistic Brain Model. CogSci Terrence C. Stewart, Chris Eliasmith
2013	B	`conf`	Simultaneous unsupervised and supervised learning of cognitive functions in biologically plausible spiking neural networks. CogSci Trevor Bekolay, Carter Kolbeck, Chris Eliasmith
2013	B	`conf`	Spike-based learning of transfer functions with the SpiNNaker neuromimetic simulator. IJCNN Sergio Davies, Terry C. Stewart, Chris Eliasmith, Steve B. Furber
2013	B	`conf`	Visual motion processing and perceptual decision making. CogSci Aziz Hurzook, Oliver Trujillo, Chris Eliasmith
2012	—	`conf`	Live Demo: Spiking ratSLAM: Rat hippocampus cells in spiking neural hardware. BioCAS Francesco Galluppi, Jörg Conradt, Terrence C. Stewart, Chris Eliasmith, Timothy K. Horiuchi, Jonathan Tapson, Bryan P. Tripp, Steve B. Furber, Ralph Etienne-Cummings
2012	B	`conf`	Nengo and the Neural Engineering Framework: From Spikes to Cognition. CogSci Chris Eliasmith, Terrence C. Stewart
2012	B	`conf`	Real time on-chip implementation of dynamical systems with spiking neurons. IJCNN Francesco Galluppi, Sergio Davies, Steve B. Furber, Terry C. Stewart, Chris Eliasmith
2012	—	`conf`	Silicon Neurons That Compute. ICANN (1) Swadesh Choudhary, Steven Sloan, Sam Fok, Alexander Neckar, Eric Trautmann, Peiran Gao, Terry C. Stewart, Chris Eliasmith, Kwabena Boahen
2012	B	`conf`	Spaun: A Perception-Cognition-Action Model Using Spiking Neurons. CogSci Terrence C. Stewart, Feng-Xuan Choo, Chris Eliasmith
2012	J	`jnl`	The Complex Systems Approach: Rhetoric or Revolution. Top. Cogn. Sci. Chris Eliasmith
2012	B	`conf`	Thirty years of Marr's Vision: Levels of Analysis in Cognitive Science. CogSci Chris Eliasmith, Thomas L. Griffiths, Valerie Gray Hardcastle, Bradley C. Love, William Bechtel, Richard P. Cooper, David Peebles
2011	—	`conf`	A Brain-Machine Interface Operating with a Real-Time Spiking Neural Network Control Algorithm. NIPS Julie Dethier, Paul Nuyujukian, Chris Eliasmith, Terrence C. Stewart, Shauki A. Elasaad, Krishna V. Shenoy, Kwabena Boahen
2011	J	`jnl`	A Neural Model of Rule Generation in Inductive Reasoning. Top. Cogn. Sci. Daniel Rasmussen, Chris Eliasmith
2011	J	`jnl`	A biologically realistic cleanup memory: Autoassociation in spiking neurons. Cogn. Syst. Res. Terrence C. Stewart, Yichuan Tang, Chris Eliasmith
2011	B	`conf`	Nengo and the Neural Engineering Framework: Connecting Cognitive Theory to Neuroscience. CogSci Chris Eliasmith, Terrence C. Stewart
2011	B	`conf`	Neural Cognitive Modelling: A Biologically Constrained Spiking Neuron Model of the Tower of Hanoi Task. CogSci Terrence C. Stewart, Chris Eliasmith
2011	—	`conf`	Neural Planning and Reasoning Using the Synaptic Connections of the Basal Ganglia and Thalamus. BICA Terrence C. Stewart, Chris Eliasmith
2011	J	`jnl`	Neural representations of compositional structures: representing and manipulating vector spaces with spiking neurons. Connect. Sci. Terrence C. Stewart, Trevor Bekolay, Chris Eliasmith
2011	J	`jnl`	Normalization for probabilistic inference with neurons. Biol. Cybern. Chris Eliasmith, James Martens
2010	—	`conf`	Concept Based Representations for Ranking in Geographic Information Retrieval. IceTAL Maya Carrillo, Esaú Villatoro-Tello, Aurelio López-López, Chris Eliasmith, Luis Villaseñor-Pineda, Manuel Montes-y-Gómez
2010	A*	`conf`	Deep networks for robust visual recognition. ICML Yichuan Tang, Chris Eliasmith
2010	—	`conf`	Neural Symbolic Decision Making: A Scalable and Realistic Foundation for Cognitive Architectures. BICA Terrence C. Stewart, Chris Eliasmith
2010	J	`jnl`	Population Models of Temporal Differentiation. Neural Comput. Bryan P. Tripp, Chris Eliasmith
2009	—	`conf`	Combining Text Vector Representations for Information Retrieval. TSD Maya Carrillo, Chris Eliasmith, Aurelio López-López
2009	J	`jnl`	Python scripting in the Nengo simulator. Frontiers Neuroinformatics Terrence C. Stewart, Bryan P. Tripp, Chris Eliasmith
2009	C	`conf`	Representing Context Information for Document Retrieval. FQAS Maya Carrillo, Esaú Villatoro-Tello, Aurelio López-López, Chris Eliasmith, Manuel Montes-y-Gómez, Luis Villaseñor-Pineda
2008	A	`conf`	Integrating Structure and Meaning: A New Method for Encoding Structure for Text Classification. ECIR Jonathan M. Fishbein, Chris Eliasmith
2008	A	`conf`	Methods for Augmenting Semantic Models with Structural Information for Text Classification. ECIR Jonathan M. Fishbein, Chris Eliasmith
2008	J	`jnl`	Neural affective decision theory: Choices, brains, and emotions. Cogn. Syst. Res. Abninder Litt, Chris Eliasmith, Paul Thagard
2008	J	`jnl`	Solving the Problem of Negative Synaptic Weights in Cortical Models. Neural Comput. Christopher Parisien, Charles H. Anderson, Chris Eliasmith
2007	J	`jnl`	Attractor network. Scholarpedia Chris Eliasmith
2007	J	`jnl`	How to build a brain: from function to implementation. Synth. Chris Eliasmith
2006	J	`jnl`	Is the Brain a Quantum Computer? Cogn. Sci. Abninder Litt, Chris Eliasmith, Frederick W. Kroon, Steven Weinstein, Paul Thagard
2005	J	`jnl`	A Controlled Attractor Network Model of Path Integration in the Rat. J. Comput. Neurosci. John Conklin, Chris Eliasmith
2005	J	`jnl`	A Unified Approach to Building and Controlling Spiking Attractor Networks. Neural Comput. Chris Eliasmith
2005	J	`jnl`	Integrating behavioral and neural data in a model of zebrafish network interaction. Biol. Cybern. P. Dwight Kuo, Chris Eliasmith
2005	J	`jnl`	Reports on the 2004 AAAI Fall Symposia. AI Mag. Nicholas L. Cassimatis, Sean Luke, Simon D. Levy, Ross W. Gayler, Pentti Kanerva, Chris Eliasmith, Timothy W. Bickmore, Alan C. Schultz, Randall Davis, James A. Landay, Robert C. Miller, Eric Saund, Thomas F. Stahovich, Michael L. Littman, Satinder Singh, Shlomo Argamon, Shlomo Dubnov
2004	—	`conf`	Learning Context Sensitive Logical Inference in a Neurobiolobical Simulation. AAAI Technical Report (3) Chris Eliasmith
2004	J	`jnl`	Understanding interactions between networks controlling distinct behaviours: Escape and swimming in larval zebrafish. Neurocomputing P. Dwight Kuo, Chris Eliasmith
2002	J	`jnl`	A general framework for neurobiological modeling: an application to the vestibular system. Neurocomputing Chris Eliasmith, M. Brandon Westover, Charles H. Anderson
2002	J	`jnl`	Discreteness and Relevance: A Reply to Roman Poznanski. Minds Mach. Chris Eliasmith
2002	J	`jnl`	Linearly decodable functions from neural population codes. Neurocomputing M. Brandon Westover, Chris Eliasmith, Charles H. Anderson
2002	J	`jnl`	The myth of the Turing machine: the failings of functionalism and related theses. J. Exp. Theor. Artif. Intell. Chris Eliasmith
2001	J	`jnl`	Attractive and In-discrete. Minds Mach. Chris Eliasmith
2001	J	`jnl`	Beyond bumps: Spiking networks that store sets of functions. Neurocomputing Chris Eliasmith, Charles H. Anderson
2001	J	`jnl`	Integrating structure and meaning: a distributed model of analogical mapping. Cogn. Sci. Chris Eliasmith, Paul Thagard
2000	J	`jnl`	Rethinking central pattern generators: A general approach. Neurocomputing Chris Eliasmith, Charles H. Anderson
1999	J	`jnl`	Developing and applying a toolkit from a general neurocomputational framework. Neurocomputing Chris Eliasmith, Charles H. Anderson
1997	J	`jnl`	Computation and Dynamical Models of Mind. Minds Mach. Chris Eliasmith