Local adaptations of two naturally occurring neuronal conductances, gK + (A) and gK + (Ca), allow for associative conditioning and contiguity judgements in artificial neural networks.
Features of two potassium conductances implicated in the acquisition of conditioned reflexes, the slow calcium dependent conductance (gK + (Ca] and the fast transient conductance (gK + (A], were incorporated into a 6 x 6 element artificial neural network. Adaptive algorithms derived from observations of cortical neurons during associative learning changed gK + (A) in proportion to the product of this current and an EPSP-induced second messenger concentration, and changed gK + (Ca) as a function of a spike-induced second messenger concentration. This network concurrently acquired two distinct representations in response to presentation of stimuli: one resembled associative conditioning (defined in terms of its sensitivity to forward pairing vs. simultaneous or backward pairing); the other reflected contiguous pairings of stimuli. The acquisition of one representation did not markedly interfere with acquisition of the other. This network may accordingly serve as an example of a self-organizing system which minimizes the postulated inherent cross talk between functionally dissiminar representations (Minsky and Papert 1988).
Berner
J
J
Department of Anatomy, UCLA Medical Center 90024.
Woody
C D
CD
D000064:Acclimatization; D000465:Algorithms; D000818:Animals; D001245:Association Learning / Q000502:physiology; D007858:Learning / Q000502:physiology*; D008433:Mathematics; D008959:Models, Neurological; D008960:Models, Psychological; D009415:Nerve Net / Q000502:physiology*; D009474:Neurons / Q000502:physiology*; D015221:Potassium Channels / Q000502:physiology*
D015221:Potassium Channels