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Models

Sequence rule generation in Raven's Progressive Matrices

Peer Reviewed: Yes

Daniel Rasmussen, Chris Eliasmith

Raven's Progressive Matrices, HRRs, VSAs, spiking neural model
Spaun

Peer Reviewed: Yes

Chris Eliasmith, Terry Stewart, Feng-Xuan Choo, Trevor Bekolay, Travis DeWolf, Charlie Tang, Daniel Rasmussen

spaun, vision, basal ganglia, learning, reinforcement learning, inference, neural coding
Bandit task

Peer Reviewed: Yes

Trevor Bekolay, Terrence C. Stewart

reinforcement learning, plasticity, basal ganglia
Neural representations of compositional structures

Peer Reviewed: Yes

Terrence C. Stewart, Trevor Bekolay, Chris Eliasmith

neural engineering, vector symbolic architectures, representation, cognition
RBM Deep Belief Network for Visual Digit Recognition

Peer Reviewed: No

Yichuan Tang, Terrence C. Stewart, Chris Eliasmith

RBM, DBN, vision
Cognitive Control

Peer Reviewed: No

Terrence C. Stewart

basal ganglia, neural control
Wason Selection Task

Peer Reviewed: Yes

Chris Eliasmith, Terrence C. Stewart

wason, learning, context
Neural Path Integrator

Peer Reviewed: Yes

Yan Wu, Chris Eliasmith

path integration, attractor network, neural control, hippocampus, subiculum
Tic tac toe

Peer Reviewed: No

Ravi Shekhar

cognitive model, large scale, game
Fine-tuning and the stability of recurrent neural

Peer Reviewed: Yes

David MacNeil, Chris Eliasmith

neural integrator, learning, neural dynamics, stability, attractor network
Population models of temporal differentiation

Peer Reviewed: Yes

Bryan Tripp, Chris Eliasmith

differentiation, neural coding, neural dynamics, spiking differentiator
Normalization for probabilistic inference with neurons

Peer Reviewed: Yes

Chris Eliasmith, James Martens

statistical inference, inference, neural model, probability theory, normalization
Neural populations can induce reliable postsynaptic currents without observable spike rate changes or precise spike timing

Peer Reviewed: Yes

Bryan Tripp, Chris Eliasmith

neural coding, NEF, data analysis, spike timing, neural representation
Sparse coding in real-time

Peer Reviewed: No

Sam Shapero, Siddharth Joshi

Nengo, sparse coding, vision, artificial retina
Lamprey locomotion and turning

Peer Reviewed: No

Ashley Liddard, Terrence C. Stewart

lamprey, oscillators, locomotion, attractor network
Magic squares

Peer Reviewed: No

Fabio Stefanini

cognitive model, magic squares
Working memory for multidimensional functions

Peer Reviewed: No

Dane Corneil, Tim Gevaert

working memory, function representation, attractor network
Spatiotemporal processing and coincidence detection

Peer Reviewed: No

Siddharth Joshi, Shih-Chii Liu

UDP, artificial retina, spatial processing, audition
3-link arm model

Peer Reviewed: No

Travis DeWolf

3-link arm model, motor control
6-muscle 3-link arm model

Peer Reviewed: No

Travis DeWolf

arm model, motor control
Somatosensory working memory

Peer Reviewed: Yes

Ray Singh, Chris Eliasmith

working memory, somatosensory, romo, memory dynamics
9-muscle 3-link arm model

Peer Reviewed: No

Travis DeWolf

arm model, motor control