|Mittagsseminar Talk Information|
Date and Time: Tuesday, April 19, 2011, 12:15 pm
Duration: This information is not available in the database
Location: CAB G51
Speaker: Christoph Krautz
Firing-Rate Analysis in Feedforward-Inhibition Networks
Substantial scientific efforts are directed towards answering questions that try to elucidate the secrets of cortical computations. These investigations are done on many different levels, from detailed anatomical studies up to theoretical considerations in networks of simplified neuronal nodes.
Physiological studies have shown that a very basic connectivity pattern in our brain, known as 'feedforward inhibition', can substantially increase the dynamic range of a population of neurons, i.e., in comparison with a single neuron the whole population can process a much larger range of input strengths. In this talk I will show how existing mathematical models of the firing-rate of isolated neurons can be extended to predict the firing rates of entire feedforward-inhibition networks.
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