Content-type: text/html Downes.ca ~ Stephen's Web ~ When Nerve Cells Detect Patterns for Acquired Knowledge

Stephen Downes

Knowledge, Learning, Community

Researchers are coming closer to describing exactly how knowledge is stored as patterns of connectivity in a neural network. They create from a framework "by implementing Markov chain Monte Carlo (MCMC) sampling in spiking networks of abstract model neurons." This shows how a neuron can draw an inference from a subset of the data available - a 'partial representation' - selecting from various possible interpretations. It's like: we see stripes in the jungle, is it shadows or a tiger, should we run? and we make a snap decision using this method by sampling the data. The full paper is very heavy in mathematics and neural network theory. The press release is a useful summary. Via Matthias Melcher.

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Stephen Downes Stephen Downes, Casselman, Canada
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Last Updated: Nov 07, 2024 10:21 a.m.

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