CaltechTHESIS
  A Caltech Library Service

Synaptic learning rules for local synaptic interactions : theory and application to direction selectivity

Citation

Mo, Chunhui (2003) Synaptic learning rules for local synaptic interactions : theory and application to direction selectivity. Dissertation (Ph.D.), California Institute of Technology. http://resolver.caltech.edu/CaltechETD:etd-05222003-170638

Abstract

This thesis is organized in two parts, both concerned with local synaptic interactions within the dendritic tree. The first part is focused on how specific synaptic arrangements that can be used to compute direct ion selectivity can be learned in an unsupervised manner. The second part consists of a double synaptic veto model that can account for the observed reverse-phi selectivity of direction-selective cells. We propose an activity-based, local learning model that may account for the direction selectivity in neurons in the visual cortex based on the local veto operation among excitation and inhibition. We implement the learning rule with local calcium concentration changes and a BCM type learning curve (Bienenstock, Cooper and Munro, 1982). Our biophysical simulations suggest that a model cell implementing our learning algorithm develops direction selectivity organically after unsupervised training. The learning rule is also applicable to cells with multiple direction-selective subunits on dendrites and is stable under a number of starting conditions.

Reverse-phi motion is the illusory reversal of perceived direction of movement when the stimulus contrast is reversed in successive frames. Livingstone (2000) showed that direction-selective cells in striate cortex of the alert macaque monkey showed reversed excitatory and inhibitory regions when two different contrast bars were flashed sequentially during a two-bar interaction analysis. We carry out detailed biophysical simulations of a direction-selective cell model implementing a synaptic shunting scheme. Our results suggest that a simple synaptic-veto mechanism with strong direction selectivity for normal motion cannot account for the observed reverse phi-motion effect. A direct interaction between the ON and OFF pathway, missing in the original shunting-inhibition model, is essential to account for the reversal of response. We propose a double synaptic-veto mechanism in which ON excitatory synapses are gated by both delayed ON inhibition at their null side and by delayed OFF inhibition at their preferred side. The converse applies to OFF excitatory synapses. Mapping this scheme onto the dendrites of a direction-selective neuron permits the model to respond best to normal motion in its preferred direction and to reverse-phi motion in its null direction.

Item Type:Thesis (Dissertation (Ph.D.))
Subject Keywords:direction selective; learning; modeling; motion; reverse-phi
Degree Grantor:California Institute of Technology
Division:Chemistry and Chemical Engineering
Major Option:Biochemistry and Molecular Biophysics
Thesis Availability:Restricted to Caltech community only
Research Advisor(s):
  • Koch, Christof
Thesis Committee:
  • Fraser, Scott E. (chair)
  • Koch, Christof
  • Schuman, Erin Margaret
  • Laurent, Gilles J.
  • Quartz, Steven R.
Defense Date:20 May 2003
Record Number:CaltechETD:etd-05222003-170638
Persistent URL:http://resolver.caltech.edu/CaltechETD:etd-05222003-170638
Default Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:1942
Collection:CaltechTHESIS
Deposited By: Imported from ETD-db
Deposited On:23 May 2003
Last Modified:16 Sep 2013 22:56

Thesis Files

[img] PDF (mo-thesis-final.pdf) - Final Version
Restricted to Caltech community only
See Usage Policy.

8Mb

Repository Staff Only: item control page