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Tesi di dottorato in scienze matematiche e fisiche >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/2108/761
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| Title: | Networks of spiking neurons and plastic synapses: implementation and control |
| Authors: | Del Giudice, Paolo Salina, Gaetano Indiveri, Giacomo Douglas, Rodney Giulioni, Massimiliano |
| Keywords: | spiking neurons neural networks |
| Issue Date: | 15-Jan-2009 |
| Abstract: | The brain is an incredible system with a computational power that goes further beyond those
of our standard computer. It consists of a network of 1011 neurons connected by about 1014
synapses: a massive parallel architecture that suggests that brain performs computation
according to completely new strategies which we are far from understanding.
To study the nervous system a reasonable starting point is to model its basic units,
neurons and synapses, extract the key features, and try to put them together in simple
controllable networks. The research group I have been working in focuses its attention on
the network dynamics and chooses to model neurons and synapses at a functional level: in
this work I consider network of integrate-and-fire neurons connected through synapses that
are plastic and bistable. A synapses is said to be plastic when, according to some kind of
internal dynamics, it is able to change the “strength”, the efficacy, of the connection between
the pre- and ... |
| Description: | Co-dottorato Italia-Svizzera |
| URI: | http://hdl.handle.net/2108/761 |
| Appears in Collections: | Tesi di dottorato in scienze matematiche e fisiche
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Files in This Item:
| File |
Description |
Size | Format |
| PhD_thesis.pdf | Thesis | 2691Kb | Adobe PDF | View/Open |
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