Neural circuits for programmable analog MOS VLSI implementation

Neural circuits that have the same dynamic properties as gradient continuous-time feedback neural nets are presented. These neural circuits are governed by a set of gradient dynamic equations, and in addition they are implementable via all MOS elements. Consequently, these neural circuits are suitable for analog MOS VLSI implementation.<<ETX>>

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