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Periodic Response to External Stimulation of a Chaotic Neural Network with Delayed Feedback
Abstract. We construct a
feedforward neural network so that when the outputs are fed back into
the inputs and the system is iterated it behaves chaotically. We call
this the "rest state". Suppose now that an input stimulus is added
to one or more inputs. Following a biologically inspired model suggested
by Freeman [1991], under these conditions we should want the behavior
of the network to stabilize into an unstable periodic orbit of the original
system. We call this the "retrieval behavior" since it is analogous
to the act of recognition. Standard methods of chaos control, such as
OGY for example, used to elicit the retrieval behavior would be inappropriate,
since such methods involve calculations external to the system being
controlled and can be considered unlikely in a biological neural network.
Using a chaos control method originally suggested by Pyragas [1992]
we show that retrieval behavior can occur as a result of delayed feedback
and examine the variety of the responses that arise under dierent types
of stimuli and under noise. This articial neural system has a strong
dynamical parallel to Freeman's observed biological phenomenon. About the neural system studied | ||||
References
See the full version of the paper
for further information. Alban Tsui, October 12, 1999
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