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A method for analysing neural computation using receptive fields in state space

✍ Scribed by Michael G. Paulin

Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
166 KB
Volume
11
Category
Article
ISSN
0893-6080

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✦ Synopsis

The behaviour of spiking neurons which are involved in a control task can be quantified by mapping receptive fields in the state space of the control problem. These receptive fields link spikes, the operands of neural computation, to state variables, the operands of conventional control theory. They allow neural computation underlying control tasks to be quantitatively analysed, and meaningfully discussed in ordinary language, by providing a rigorous way to interpret single spikes as assertions about dynamical state.

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