Real time on-chip implementation of dynamical systems with spiking neurons
| Autor: | Steve Furber, Francesco Galluppi, Chris Eliasmith, Sergio Davies, Terry Stewart |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
Nervous system
Spiking neural network Theoretical computer science Quantitative Biology::Neurons and Cognition Artificial neural network Dynamical systems theory Basis (linear algebra) Computer science Neurophysiology Variety (cybernetics) medicine.anatomical_structure Network on a chip Encoding (memory) medicine |
| Zdroj: | IJCNN |
| DOI: | 10.1109/ijcnn.2012.6252706 |
| Popis: | Simulation of large-scale networks of spiking neurons has become appealing for understanding the computational principles of the nervous system by producing models based on biological evidence. In particular, networks that can assume a variety of (dynamically) stable states have been proposed as the basis for different behavioural and cognitive functions. |
| Databáze: | OpenAIRE |
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