Neural Comput - Spiking neurons and the first passage problem.

Tópicos

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{ research(1218) medic(880) student(794) }
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{ age(1611) year(1155) adult(843) }
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{ group(2977) signific(1463) compar(1072) }
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Resumo

We derive a model of a neuron's interspike interval probability density through analysis of the first passage problem. The fit of our expression to retinal ganglion cell laboratory data extracts three physiologically relevant parameters, with which our model yields input-output features that conform to laboratory results. Preliminary analysis suggests that under common circumstances, local circuitry readjusts these parameters with changes in firing rate and so endeavors to faithfully replicate an input signal. Further results suggest that the so-called principle of sloppy workmanship also plays a role in evolution's choice of these parameters.

Resumo Limpo

deriv model neuron interspik interv probabl densiti analysi first passag problem fit express retin ganglion cell laboratori data extract three physiolog relev paramet model yield inputoutput featur conform laboratori result preliminari analysi suggest common circumst local circuitri readjust paramet chang fire rate endeavor faith replic input signal result suggest socal principl sloppi workmanship also play role evolut choic paramet

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