Tuesday, December 2, 2008, 3:30 pm — Large Seminar Room, Bldg. 510
Large, strongly coupled neural networks tend to produce chaotic spontaneous activity. This might appear to make them unsuitable for generating reliable sensory responses or repeatable motor patterns. However, this is not the case. Inputs can induce a phase transition, leading to responses uncontaminated by chaotic "noise". Likewise, appropriately trained feedback units can control the chaos, resulting in a wide variety of repeatable output patterns. These issues will be discussed accompanied by examples and demonstrations.
Hosted by: Robert Pisarski
4835 | INT/EXT | Events Calendar
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