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5
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The Emergence of Rules in Cell–Assemblies of FLIF Neurons
– Roman V. Belavkin, Christian R. Huyck
|
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1
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A Neuropsychological Framework for Advancing Artificial Intelligence
– Christian R. Huyck, Hina Ghalib
|
|
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Questions Arising from a Proto-Neural Cognitive Architecture
– Christian Huyck, Emma Byrne
|
|
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Do Neural Models Scale up to a Human Brain?
– Roman V Belavkin
|
|
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Processing with Cell Assemblies
– Emma Byrne A, Christian Huyck A
|
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4
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A Psycholinguistic Model of Natural Language Parsing Implemented in Simulated Neurons
– Christian R. Huyck
|
|
1
|
Variable Binding by Synaptic Strength Change
– Christian R. Huyck
|
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7
|
CABot1: a videogame agent implemented in fLIF neurons, in
– Christian Huyck
|
|
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Vision in an Agent based on Fatiguing Leaky Integrate and Fire Neurons
– Christian Huyck, Dan Diaper, Roman Belavkin, Ian Kenny
|
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2
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The Knowledge-Learning-Instruction (KLI) Framework: Toward Bridging the Science-Practice Chasm to Enhance Robust Student Learning
– Kenneth R. Koedinger, Albert T. Corbett, Charles Perfetti
- 2010
|
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3
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FPGA Implementation of Very Large Associative Memories -- Scaling Issues
– Dan Hammerstrom, Changjian Gao, Shaojuan Zhu, Mike Butts
|
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3
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A cell assembly model of sequential memory
– Hina Ghalib, Christian Huyck
- 2007
|
|
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Integrated Learning in Multi-net Systems
– Matthew Charles Casey
- 2004
|
|
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Extensions of Linear Independent Component Analysis: Neural and Information-Theoretic Methods
– Petteri Pajunen
|
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7
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Failures to learn and their remediation: A Hebbian account
– James L. Mcclelland, L. Mcclell, R. S. Siegler (eds
- 2001
|
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17
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Low Entropy Coding with Unsupervised Neural Networks
– George Francis Harpur
|
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57
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Face Image Analysis by Unsupervised Learning and Redundancy Reduction
– Marian Stewart Bartlett
- 1998
|
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15
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What can robots tell us about brains? A synthetic approach towards the study of learning and problem solving.
– Thomas Voegtlin, Paul F. M. J. Verschure
- 1999
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31
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Learning Processes in Neural Networks
– Tom Heskes
- 1991
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