Physics-style Theory Can be Used to Discover a Universal Principle Governing the Design of Neural Network
(11/3/2010) 65 minutes
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For evolution to work, neural circuits must have a scalable architecture, designed in a way that permits them to process more information by simply increasing the circuit size. Retinal ganglion cells (RGCs) sample information about the visual scene and encode this information for transmission to the brain. Because RGCs tile the retina, each RGC constitutes a "pixel". How large should this pixel be? Using a theoretical approach, I give an answer to this question. These same ideas can be extended to a give general design principle (supported by experimental evidence) that applies to circuits throughout the vertebrate brain.

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