Multiple topological representation self-organized by spike-timing-dependent synaptic learning rule |
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Authors: | Yutaka Sakai Koji Wada |
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Institution: | (1) Tamagawa University Brain Science Institute, Tamagawa-gakuen 6-1-1, Machida-shi Tokyo, 194-8610, Japan;(2) Department of Electrical Engineering, Kochi National College of Technology, Kochi, Japan |
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Abstract: | Position-and-scale-free representations of shapes are acquired by neurons in the inferior temporal (IT) cortex. So each neuron
receives information from the whole visual field. Familiar shapes are extremely restricted from all the possible shapes on
the whole visual field. So they must be clustered in the shape space to have mixed structure of continuity and discreteness.
We demonstrate that multiple representation can be acquired in a spike-based model for topological maps based on the spike-timing-dependent
synaptic plasticity (STDP), subjected to a set of inputs on multiple rings, which is a simple example of mixed structure.
In this representation, the position on each ring is represented by a center of active neurons and the difference of rings
is represented by a detailed pattern of active neurons. Neurons in the same region exhibit high activities for an input on
the other ring. The result is consistent with the fact observed in IT cortex that neighboring neurons exhibit different preferences
while the region of active neurons is continuously shifted for continuous changes of object. |
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Keywords: | Topological map Inferior temporal cortex Spike-timing-dependent plasticity |
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