Automatic fitting of spiking neuron models to electrophysiological recordings
نویسندگان
چکیده
منابع مشابه
Automatic Fitting of Spiking Neuron Models to Electrophysiological Recordings
Spiking models can accurately predict the spike trains produced by cortical neurons in response to somatically injected currents. Since the specific characteristics of the model depend on the neuron, a computational method is required to fit models to electrophysiological recordings. The fitting procedure can be very time consuming both in terms of computer simulations and in terms of code writ...
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Computational modeling is increasingly used to understand the function of neural circuits in systems neuroscience. These studies require models of individual neurons with realistic input-output properties. Recently, it was found that spiking models can accurately predict the precisely timed spike trains produced by cortical neurons in response to somatically injected currents, if properly fitte...
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A catalogue record of this book is available from the British Library ISBN 0 521 81384 0 hardback ISBN 0 521 89079 9 paperback Contents Preface page xi Acknowledgments xiv 1 Introduction 1 1.1 Elements of neuronal systems 1 1.1.1 The ideal spiking neuron 2 1.1.2 Spike trains 3 1.1.3 Synapses 4 1.2 Elements of neuronal dynamics 4 1.2.1 Postsynaptic potentials 6 1.2.2 Firing threshold and action ...
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ژورنال
عنوان ژورنال: Frontiers in Neuroinformatics
سال: 2010
ISSN: 1662-5196
DOI: 10.3389/neuro.11.002.2010