Spaun (Semantic Pointer Architecture Unified Network)
Spaun ("Semantic Pointer Architecture Unified Network") is a cognitive architecture pioneered by Chris Eliasmith of the University of Waterloo Centre for Theoretical Neuroscience. It consists of 2.5 million simulated neurons organized into subsystems that resemble specific brain regions, such as the prefrontal cortex, basal ganglia, and thalamus. It can recognize numbers, remember them, figure out numeric sequences, and even write them down with a robotic arm. It is implemented using Nengo. Provided by Wikipedia-
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Optimizing Semantic Pointer Representations for Symbol-Like Processing in Spiking Neural Networks.
Published 2016-01-01Get full text
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Using Neural Networks to Generate Inferential Roles for Natural Language
Published 2018-01-01Get full text
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Constructing functional models from biophysically-detailed neurons.
Published 2022-09-01Get full text
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Automatic Optimization of the Computation Graph in the Nengo Neural Network Simulator
Published 2017-05-01Get full text
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Fine-tuning and the stability of recurrent neural networks.
Published 2011-01-01Get full text
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Exploiting semantic information in a spiking neural SLAM system
Published 2023-07-01Get full text
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Neuromorphic control of a simulated 7-DOF arm using Loihi
Published 2023-01-01Get full text
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