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2020 – today
- 2025
[i16]Varun Dhanraj, Chris Eliasmith:
Improving Rule-based Reasoning in LLMs via Neurosymbolic Representations. CoRR abs/2502.01657 (2025)- 2024
- [c69]P. Michael Furlong, Kathryn Simone, Nicole Sandra-Yaffa Dumont, Madeleine Bartlett, Terrence C. Stewart, Jeff Orchard, Chris Eliasmith:
Biologically-Plausible Markov Chain Monte Carlo Sampling from Vector Symbolic Algebra-Encoded Distributions. ICANN (4) 2024: 94-108 - 2023
- [j52]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): 14007 (2023) - 2022
- [j51]Andreas Stöckel, Chris Eliasmith:
Computational properties of multi-compartment LIF neurons with passive dendrites. Neuromorph. Comput. Eng. 2(2): 24011 (2022) - [j50]Peter Duggins, Chris Eliasmith:
Constructing functional models from biophysically-detailed neurons. PLoS Comput. Biol. 18(9): 1010461 (2022) - [c68]Peter Duggins, Terrence C. Stewart, Chris Eliasmith:
Reinforcement Learning, Social Value Orientation, and Decision Making: Computational Models and Empirical Validation. CogSci 2022 - [c67]Nicole Sandra-Yaffa Dumont, Jeff Orchard, Chris Eliasmith:
A model of path integration that connects neural and symbolic representation. CogSci 2022 - [c66]P. Michael Furlong, Chris Eliasmith:
Fractional Binding in Vector Symbolic Architectures as Quasi-Probability Statements. CogSci 2022 - [i15]Narsimha Chilkuri, Chris Eliasmith:
Debugging using Orthogonal Gradient Descent. CoRR abs/2206.08489 (2022) - 2021
- [j49]Andreas Stöckel, Chris Eliasmith:
Passive Nonlinear Dendritic Interactions as a Computational Resource in Spiking Neural Networks. Neural Comput. 33(1): 96-128 (2021) - [j48]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): 2033-2067 (2021) - [j47]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): 14002 (2021) - [j46]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): 515-533 (2021) - [c65]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 - [c64]Chris Eliasmith, P. Michael Furlong:
Continuous then discrete: A recommendation for building robotic brains. CoRL 2021: 1758-1763 - [c63]Narsimha Reddy Chilkuri, Chris Eliasmith:
Parallelizing Legendre Memory Unit Training. ICML 2021: 1898-1907 - [i14]Narsimha Chilkuri, Chris Eliasmith:
Parallelizing Legendre Memory Unit Training. CoRR abs/2102.11417 (2021) - [i13]Kinjal Patel, Eric Hunsberger, Sean Batir, Chris Eliasmith:
A Spiking Neural Network for Image Segmentation. CoRR abs/2106.08921 (2021) - [i12]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 abs/2110.02402 (2021) - 2020
- [j45]Travis DeWolf, Pawel Jaworski, Chris Eliasmith:
Nengo and Low-Power AI Hardware for Robust, Embedded Neurorobotics. Frontiers Neurorobotics 14: 568359 (2020) - [c62]Hugo Chateau-Laurent, Chris Eliasmith, Serge Thill:
A spiking neural architecture for conscious chaining of mental operations. CogSci 2020 - [c61]Nicole Dumont, Chris Eliasmith:
Accurate representation for spatial cognition using grid cells. CogSci 2020 - [c60]Brent Komer, Chris Eliasmith:
Efficient navigation using a scalable, biologically inspired spatial representation. CogSci 2020 - [c59]Andreas Stöckel, Terrence C. Stewart, Chris Eliasmith:
A Biologically Plausible Spiking Neural Model of Eyeblink Conditioning in the Cerebellum. CogSci 2020 - [c58]Peter Blouw, Chris Eliasmith:
Event-Driven Signal Processing with Neuromorphic Computing Systems. ICASSP 2020: 8534-8538 - [i11]Aaron R. Voelker, Daniel Rasmussen, Chris Eliasmith:
A Spike in Performance: Training Hybrid-Spiking Neural Networks with Quantized Activation Functions. CoRR abs/2002.03553 (2020) - [i10]Travis DeWolf, Pawel Jaworski, Chris Eliasmith:
Nengo and low-power AI hardware for robust, embedded neurorobotics. CoRR abs/2007.10227 (2020) - [i9]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 abs/2009.04465 (2020) - [i8]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 abs/2009.08921 (2020)
2010 – 2019
- 2019
- [j44]Jan Gosmann, Chris Eliasmith:
Vector-Derived Transformation Binding: An Improved Binding Operation for Deep Symbol-Like Processing in Neural Networks. Neural Comput. 31(5): 849-869 (2019) - [j43]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): 144-164 (2019) - [c57]Brent Komer, Terrence C. Stewart, Aaron Voelker, Chris Eliasmith:
A neural representation of continuous space using fractional binding. CogSci 2019: 2038-2043 - [c56]Thomas Lu, Aaron Voelker, Brent Komer, Chris Eliasmith:
Representing spatial relations with fractional binding. CogSci 2019: 2214-2220 - [c55]Andreas Stöckel, Terrence C. Stewart, Chris Eliasmith:
A Geometric Interpretation of Feedback Alignment. CogSci 2019: 3366 - [c54]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: 456-471 - [c53]Aaron Voelker, Ivana Kajic, Chris Eliasmith:
Legendre Memory Units: Continuous-Time Representation in Recurrent Neural Networks. NeurIPS 2019: 15544-15553 - [p1]Brent Komer, James Bergstra, Chris Eliasmith:
Hyperopt-Sklearn. Automated Machine Learning 2019: 97-111 - [i7]Andreas Stöckel, Chris Eliasmith:
Passive nonlinear dendritic interactions as a general computational resource in functional spiking neural networks. CoRR abs/1904.11713 (2019) - 2018
- [j42]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: 41 (2018) - [j41]Aaron R. Voelker, Chris Eliasmith:
Improving Spiking Dynamical Networks: Accurate Delays, Higher-Order Synapses, and Time Cells. Neural Comput. 30(3) (2018) - [c52]Terrence C. Stewart, Sverrir Thorgeirsson, Chris Eliasmith:
Supervised Learning of Action Selection in Cognitive Spiking Neuron Models. CogSci 2018 - [c51]Benjamin Morcos, Terrence C. Stewart, Chris Eliasmith, Nachiket Kapre:
Implementing NEF Neural Networks on Embedded FPGAs. FPT 2018: 22-29 - [i6]Peter Blouw, Xuan Choo, Eric Hunsberger, Chris Eliasmith:
Benchmarking Keyword Spotting Efficiency on Neuromorphic Hardware. CoRR abs/1812.01739 (2018) - 2017
- [j40]Jan Gosmann, Chris Eliasmith:
Automatic Optimization of the Computation Graph in the Nengo Neural Network Simulator. Frontiers Neuroinformatics 11: 33 (2017) - [j39]Sean Aubin, Aaron R. Voelker, Chris Eliasmith:
Improving With Practice: A Neural Model of Mathematical Development. Top. Cogn. Sci. 9(1): 6-20 (2017) - [j38]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): 117-134 (2017) - [c50]Terrence C. Stewart, Chris Eliasmith:
Continuous and Parallel: Challenges for a Standard Model of the Mind. AAAI Fall Symposia 2017: 466-469 - [c49]Peter Blouw, Chris Eliasmith:
Inferential Role Semantics for Natural Language. CogSci 2017 - [c48]Jan Gosmann, Aaron Voelker, Chris Eliasmith:
A Spiking Independent Accumulator Model for Winner-Take-All Computation. CogSci 2017 - [c47]Ivana Kajic, Jan Gosmann, Brent Komer, Ryan W. Orr, Terrence C. Stewart, Chris Eliasmith:
A Biologically Constrained Model of Semantic Memory Search. CogSci 2017 - [c46]Sugandha Sharma, Aaron Voelker, Chris Eliasmith:
A Spiking Neural Bayesian Model of Life Span Inference. CogSci 2017 - [c45]Aaron R. Voelker, Ben Varkey Benjamin, Terrence C. Stewart, Kwabena Boahen, Chris Eliasmith:
Extending the neural engineering framework for nonideal silicon synapses. ISCAS 2017: 1-4 - [c44]Taylor S. Clawson, Terrence C. Stewart, Chris Eliasmith, Silvia Ferrari:
An adaptive spiking neural controller for flapping insect-scale robots. SSCI 2017: 1-7 - [i5]Aaron R. Voelker, Chris Eliasmith:
Methods for applying the Neural Engineering Framework to neuromorphic hardware. CoRR abs/1708.08133 (2017) - [i4]Andreas Stöckel, Aaron R. Voelker, Chris Eliasmith:
Point Neurons with Conductance-Based Synapses in the Neural Engineering Framework. CoRR abs/1710.07659 (2017) - 2016
- [j37]Eric Crawford, Matthew Gingerich, Chris Eliasmith:
Biologically Plausible, Human-Scale Knowledge Representation. Cogn. Sci. 40(4): 782-821 (2016) - [j36]Peter Blouw, Eugene Solodkin, Paul Thagard, Chris Eliasmith:
Concepts as Semantic Pointers: A Framework and Computational Model. Cogn. Sci. 40(5): 1128-1162 (2016) - [j35]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: 51 (2016) - [j34]Bryan P. Tripp, Chris Eliasmith:
Function approximation in inhibitory networks. Neural Networks 77: 95-106 (2016) - [j33]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): 516-523 (2016) - [c43]Sean Aubin, Aaron Voelker, Chris Eliasmith:
Improving with Practice: A Neural Model of Mathematical Development. CogSci 2016 - [c42]Peter Blouw, Chris Eliasmith, Bryan P. Tripp:
A scaleable spiking neural model of action planning. CogSci 2016 - [c41]Ivana Kajic, Jan Gosmann, Terrence C. Stewart, Thomas Wennekers, Chris Eliasmith:
Towards a Cognitively Realistic Representation of Word Associations. CogSci 2016 - [c40]Sugandha Sharma, Brent Komer, Terrence C. Stewart, Chris Eliasmith:
A Neural Model of Context Dependent Decision Making in the Prefrontal Cortex. CogSci 2016 - [c39]Murphy Berzish, Chris Eliasmith, Bryan P. Tripp:
Real-Time FPGA Simulation of Surrogate Models of Large Spiking Networks. ICANN (1) 2016: 349-356 - [c38]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: 5210-5217 - [i3]Chris Eliasmith, Jan Gosmann, Xuan Choo:
BioSpaun: A large-scale behaving brain model with complex neurons. CoRR abs/1602.05220 (2016) - [i2]Eric Hunsberger, Chris Eliasmith:
Training Spiking Deep Networks for Neuromorphic Hardware. CoRR abs/1611.05141 (2016) - 2015
- [j32]Chris Eliasmith, Carter Kolbeck:
Marr's Attacks: On Reductionism and Vagueness. Top. Cogn. Sci. 7(2): 323-335 (2015) - [c37]Peter Blouw, Chris Eliasmith:
Constraint-Based Parsing with Distributed Representations. CogSci 2015 - [c36]Jan Gosmann, Chris Eliasmith:
A Spiking Neural Model of the n-Back Task. CogSci 2015 - [i1]Eric Hunsberger, Chris Eliasmith:
Spiking Deep Networks with LIF Neurons. CoRR abs/1510.08829 (2015) - 2014
- [j31]Eric Hunsberger, Matthew Scott, Chris Eliasmith:
The Competing Benefits of Noise and Heterogeneity in Neural Coding. Neural Comput. 26(8): 1600-1623 (2014) - [j30]Terrence C. Stewart, Chris Eliasmith:
Large-Scale Synthesis of Functional Spiking Neural Circuits. Proc. IEEE 102(5): 881-898 (2014) - [j29]Bruce Bobier, Terrence C. Stewart, Chris Eliasmith:
A Unifying Mechanistic Model of Selective Attention in Spiking Neurons. PLoS Comput. Biol. 10(6) (2014) - [c35]Bernd J. Kröger, Trevor Bekolay, Chris Eliasmith:
Modeling speech production using the Neural Engineering Framework. CogInfoCom 2014: 203-208 - [c34]Dimitris A. Pinotsis, Chris Eliasmith:
Neural Field Coding of Short Term Memory. CogSci 2014 - [c33]Daniel Rasmussen, Chris Eliasmith:
A neural model of hierarchical reinforcement learning. CogSci 2014 - [c32]Terrence C. Stewart, Feng-Xuan Choo, Chris Eliasmith:
Sentence processing in spiking neurons: A biologically plausible left-corner parser. CogSci 2014 - [c31]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: 2862-2867 - [c30]Federico Corradi, Chris Eliasmith, Giacomo Indiveri:
Mapping arbitrary mathematical functions and dynamical systems to neuromorphic VLSI circuits for spike-based neural computation. ISCAS 2014: 269-272 - [c29]Brent Komer, James Bergstra, Chris Eliasmith:
Hyperopt-Sklearn: Automatic Hyperparameter Configuration for Scikit-Learn. SciPy 2014: 32-37 - 2013
- [j28]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: 48 (2013) - [c28]Trevor Bekolay, Carter Kolbeck, Chris Eliasmith:
Simultaneous unsupervised and supervised learning of cognitive functions in biologically plausible spiking neural networks. CogSci 2013 - [c27]Peter Blouw, Chris Eliasmith:
A Neurally Plausible Encoding of Word Order Information into a Semantic Vector Space. CogSci 2013 - [c26]Feng-Xuan Choo, Chris Eliasmith:
General Instruction Following in a Large-Scale Biologically Plausible Brain Model. CogSci 2013 - [c25]Eric Crawford, Matthew Gingerich, Chris Eliasmith:
Biologically Plausible, Human-scale Knowledge Representation. CogSci 2013 - [c24]Chris Eliasmith, Terrence C. Stewart:
A General Purpose Architecture for Building Spiking Neuron Models of Biological Cognition. CogSci 2013 - [c23]Eric Hunsberger, Peter Blouw, James Bergstra, Chris Eliasmith:
A Neural Model of Human Image Categorization. CogSci 2013 - [c22]Aziz Hurzook, Oliver Trujillo, Chris Eliasmith:
Visual motion processing and perceptual decision making. CogSci 2013 - [c21]Daniel Rasmussen, Chris Eliasmith:
A neural reinforcement learning model for tasks with unknown time delays. CogSci 2013 - [c20]Terrence C. Stewart, Chris Eliasmith:
Parsing Sequentially Presented Commands in a Large-Scale Biologically Realistic Brain Model. CogSci 2013 - [c19]Sergio Davies, Terry C. Stewart, Chris Eliasmith, Steve B. Furber:
Spike-based learning of transfer functions with the SpiNNaker neuromimetic simulator. IJCNN 2013: 1-8 - 2012
- [j27]Chris Eliasmith:
The Complex Systems Approach: Rhetoric or Revolution. Top. Cogn. Sci. 4(1): 72-77 (2012) - [c18]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: 91 - [c17]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 - [c16]Chris Eliasmith, Terrence C. Stewart:
Nengo and the Neural Engineering Framework: From Spikes to Cognition. CogSci 2012 - [c15]Terrence C. Stewart, Feng-Xuan Choo, Chris Eliasmith:
Spaun: A Perception-Cognition-Action Model Using Spiking Neurons. CogSci 2012 - [c14]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: 121-128 - [c13]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: 1-8 - 2011
- [j26]Chris Eliasmith, James Martens:
Normalization for probabilistic inference with neurons. Biol. Cybern. 104(4-5): 251-262 (2011) - [j25]Terrence C. Stewart, Yichuan Tang, Chris Eliasmith:
A biologically realistic cleanup memory: Autoassociation in spiking neurons. Cogn. Syst. Res. 12(2): 84-92 (2011) - [j24]Terrence C. Stewart, Trevor Bekolay, Chris Eliasmith:
Neural representations of compositional structures: representing and manipulating vector spaces with spiking neurons. Connect. Sci. 23(2): 145-153 (2011) - [j23]Daniel Rasmussen, Chris Eliasmith:
A Neural Model of Rule Generation in Inductive Reasoning. Top. Cogn. Sci. 3(1): 140-153 (2011) - [c12]Terrence C. Stewart, Chris Eliasmith:
Neural Planning and Reasoning Using the Synaptic Connections of the Basal Ganglia and Thalamus. BICA 2011: 358-363 - [c11]Chris Eliasmith, Terrence C. Stewart:
Nengo and the Neural Engineering Framework: Connecting Cognitive Theory to Neuroscience. CogSci 2011 - [c10]Terrence C. Stewart, Chris Eliasmith:
Neural Cognitive Modelling: A Biologically Constrained Spiking Neuron Model of the Tower of Hanoi Task. CogSci 2011 - [c9]Julie Dethier, Paul Nuyujukian, Chris Eliasmith, Terrence C. Stewart, Shauki A. Elasaad, Krishna V. Shenoy, Kwabena Boahen:
A Brain-Machine Interface Operating with a Real-Time Spiking Neural Network Control Algorithm. NIPS 2011: 2213-2221 - 2010
- [j22]Bryan P. Tripp, Chris Eliasmith:
Population Models of Temporal Differentiation. Neural Comput. 22(3): 621-659 (2010) - [c8]Terrence C. Stewart, Chris Eliasmith:
Neural Symbolic Decision Making: A Scalable and Realistic Foundation for Cognitive Architectures. BICA 2010: 147-152 - [c7]Yichuan Tang, Chris Eliasmith:
Deep networks for robust visual recognition. ICML 2010: 1055-1062 - [c6]Maya Carrillo, Esaú Villatoro-Tello, Aurelio López-López, Chris Eliasmith, Luis Villaseñor Pineda, Manuel Montes-y-Gómez:
Concept Based Representations for Ranking in Geographic Information Retrieval. IceTAL 2010: 85-96
2000 – 2009
- 2009
- [j21]Terrence C. Stewart, Bryan P. Tripp, Chris Eliasmith:
Python scripting in the Nengo simulator. Frontiers Neuroinformatics 3: 7 (2009) - [c5]Maya Carrillo, Esaú Villatoro-Tello, Aurelio López-López, Chris Eliasmith, Manuel Montes-y-Gómez, Luis Villaseñor Pineda:
Representing Context Information for Document Retrieval. FQAS 2009: 239-250 - [c4]Maya Carrillo, Chris Eliasmith, Aurelio López-López:
Combining Text Vector Representations for Information Retrieval. TSD 2009: 24-31 - 2008
- [j20]Abninder Litt, Chris Eliasmith, Paul Thagard:
Neural affective decision theory: Choices, brains, and emotions. Cogn. Syst. Res. 9(4): 252-273 (2008) - [j19]Christopher Parisien, Charles H. Anderson, Chris Eliasmith:
Solving the Problem of Negative Synaptic Weights in Cortical Models. Neural Comput. 20(6): 1473-1494 (2008) - [c3]Jonathan M. Fishbein, Chris Eliasmith:
Integrating Structure and Meaning: A New Method for Encoding Structure for Text Classification. ECIR 2008: 514-521 - [c2]Jonathan M. Fishbein, Chris Eliasmith:
Methods for Augmenting Semantic Models with Structural Information for Text Classification. ECIR 2008: 575-579 - 2007
- [j18]Chris Eliasmith:
Attractor network. Scholarpedia 2(10): 1380 (2007) - [j17]Chris Eliasmith:
How to build a brain: from function to implementation. Synth. 159(3): 373-388 (2007) - 2006
- [j16]Abninder Litt, Chris Eliasmith, Frederick W. Kroon, Steven Weinstein, Paul Thagard:
Is the Brain a Quantum Computer? Cogn. Sci. 30(3): 593-603 (2006) - 2005
- [j15]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:
Reports on the 2004 AAAI Fall Symposia. AI Mag. 26(1): 98-102 (2005) - [j14]P. Dwight Kuo, Chris Eliasmith:
Integrating behavioral and neural data in a model of zebrafish network interaction. Biol. Cybern. 93(3): 178-187 (2005) - [j13]John Conklin, Chris Eliasmith:
A Controlled Attractor Network Model of Path Integration in the Rat. J. Comput. Neurosci. 18(2): 183-203 (2005) - [j12]Chris Eliasmith:
A Unified Approach to Building and Controlling Spiking Attractor Networks. Neural Comput. 17(6): 1276-1314 (2005) - 2004
- [j11]P. Dwight Kuo, Chris Eliasmith:
Understanding interactions between networks controlling distinct behaviours: Escape and swimming in larval zebrafish. Neurocomputing 58-60: 541-547 (2004) - [c1]Chris Eliasmith:
Learning Context Sensitive Logical Inference in a Neurobiolobical Simulation. AAAI Technical Report (3) 2004: 17-19 - 2002
- [j10]M. Brandon Westover, Chris Eliasmith, Charles H. Anderson:
Linearly decodable functions from neural population codes. Neurocomputing 44-46: 691-696 (2002) - [j9]Chris Eliasmith, M. Brandon Westover, Charles H. Anderson:
A general framework for neurobiological modeling: an application to the vestibular system. Neurocomputing 44-46: 1071-1076 (2002) - [j8]Chris Eliasmith:
The myth of the Turing machine: the failings of functionalism and related theses. J. Exp. Theor. Artif. Intell. 14(1): 1-8 (2002) - [j7]Chris Eliasmith:
Discreteness and Relevance: A Reply to Roman Poznanski. Minds Mach. 12(3): 437-438 (2002) - 2001
- [j6]Chris Eliasmith, Paul Thagard:
Integrating structure and meaning: a distributed model of analogical mapping. Cogn. Sci. 25(2): 245-286 (2001) - [j5]Chris Eliasmith, Charles H. Anderson:
Beyond bumps: Spiking networks that store sets of functions. Neurocomputing 38-40: 581-586 (2001) - [j4]Chris Eliasmith:
Attractive and In-discrete. Minds Mach. 11(3): 417-426 (2001) - 2000
- [j3]Chris Eliasmith, Charles H. Anderson:
Rethinking central pattern generators: A general approach. Neurocomputing 32-33: 735-740 (2000)
1990 – 1999
- 1999
- [j2]Chris Eliasmith, Charles H. Anderson:
Developing and applying a toolkit from a general neurocomputational framework. Neurocomputing 26-27: 1013-1018 (1999) - 1997
- [j1]Chris Eliasmith:
Computation and Dynamical Models of Mind. Minds Mach. 7(4): 531-541 (1997)
Coauthor Index
Terrence C. Stewart
aka: Terry C. Stewart
aka: Terry C. Stewart
Aaron Voelker
aka: Aaron R. Voelker
aka: Aaron R. Voelker
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