Automated High-Throughput Characterization of Single Neurons by Means of Simplified Spiking Models

Abstract

Single-neuron models are useful not only for studying the emergent properties of neural circuits in large-scale simulations, but also for extracting and summarizing in a principled way the information contained in electrophysiological recordings. Here we demonstrate that, using a convex optimization procedure we previously introduced, a Generalized… (More)
DOI: 10.1371/journal.pcbi.1004275

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