Neural Comput - Finding the event structure of neuronal spike trains.

Tópicos

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Resumo

Neurons in sensory systems convey information about physical stimuli in their spike trains. In vitro, single neurons respond precisely and reliably to the repeated injection of the same fluctuating current, producing regions of elevated firing rate, termed events. Analysis of these spike trains reveals that multiple distinct spike patterns can be identified as trial-to-trial correlations between spike times (Fellous, Tiesinga, Thomas, & Sejnowski, 2004 ). Finding events in data with realistic spiking statistics is challenging because events belonging to different spike patterns may overlap. We propose a method for finding spiking events that uses contextual information to disambiguate which pattern a trial belongs to. The procedure can be applied to spike trains of the same neuron across multiple trials to detect and separate responses obtained during different brain states. The procedure can also be applied to spike trains from multiple simultaneously recorded neurons in order to identify volleys of near-synchronous activity or to distinguish between excitatory and inhibitory neurons. The procedure was tested using artificial data as well as recordings in vitro in response to fluctuating current waveforms.

Resumo Limpo

neuron sensori system convey inform physic stimuli spike train vitro singl neuron respond precis reliabl repeat inject fluctuat current produc region elev fire rate term event analysi spike train reveal multipl distinct spike pattern can identifi trialtotri correl spike time fellous tiesinga thoma sejnowski find event data realist spike statist challeng event belong differ spike pattern may overlap propos method find spike event use contextu inform disambigu pattern trial belong procedur can appli spike train neuron across multipl trial detect separ respons obtain differ brain state procedur can also appli spike train multipl simultan record neuron order identifi volley nearsynchron activ distinguish excitatori inhibitori neuron procedur test use artifici data well record vitro respons fluctuat current waveform

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