Neuron Learning to Network Organization.
BROWN UNIV PROVIDENCE RI CENTER FOR NEURAL SCIENCE
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Progress has been recently made in constructing neural networks that can organize themselves to produce distributed memories. These networks, as well as the proposed procedures by which they modify themselves with experience, are consistent with known neurophysiology as well as with what information may be available at synaptic junctions. The modification assumptions on which these ideas are based have consequences that may be testable in visual cortex. Applied to visual cortex, we assume that between lateral-geniculate and visual cortical cells there exist labile synapses that modify themselves in a fashion consistent with the assumptions above. Giving the environment an appropriate form, we obtain orientation tuning curves and ocular dominance comparable to what is observed in normally reared adult cats or monkeys. Simulations with binocular input and various types of normal or altered environments show good agreement with the relevant experimental data. Experiments are suggested that could test our theory further. Author
- Anatomy and Physiology