A Neural Network Model of Inhibitory Information Processing in Aplysia

1993 ◽  
Vol 5 (2) ◽  
pp. 213-227 ◽  
Author(s):  
Diana E. J. Blazis ◽  
Thomas M. Fischer ◽  
Thomas J. Carew

Recent cellular studies have revealed a novel form of inhibitory information processing in the siphon withdrawal reflex of the marine mollusc Aplysia: Motorneuronal output is significantly reduced by activity-dependent potentiation of recurrent inhibition within the siphon withdrawal network (Fischer and Carew 1991, 1993). This inhibitory modulation is mediated by two types of identified interneurons, L29s and L30s. In an effort to describe and analyze this and other forms of inhibitory information processing in Aplysia, and to compare it with similar processing in other nervous systems, we have constructed a neural network model that incorporates many empirically observed features of these interneurons. The model generates important aspects of the interactions of cells L29 and L30, and with no further modification, exhibits many network level phenomena that were not explicitly incorporated into the model.

2000 ◽  
Vol 55 (3-4) ◽  
pp. 282-291
Author(s):  
Christoph Bauer ◽  
Thomas Burger ◽  
Martin Stetter ◽  
Elmar W. Lang

Abstract A neural network model with incremental Hebbian learning of afferent and lateral synaptic couplings is proposed,which simulates the activity-dependent self-organization of grating cells in upper layers of striate cortex. These cells, found in areas V1 and V2 of the visual cortex of monkeys, respond vigorously and exclusively to bar gratings of a preferred orientation and periodicity. Response behavior to varying contrast and to an increasing number of bars in the grating show threshold and saturation effects. Their location with respect to the underlying orientation map and their nonlinear response behavior are investigated. The number of emerging grating cells is controlled in the model by the range and strength of the lateral coupling structure.


Sign in / Sign up

Export Citation Format

Share Document