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Inferring Monosynaptic Connections from Cross-Correlograms of Neuronal Spike Trains

Offered By: Institut Henri Poincaré via YouTube

Tags

Computational Neuroscience Courses Neural Networks Courses Neuroscience Courses Statistical Analysis Courses Synaptic Transmission Courses Electrophysiology Courses

Course Description

Overview

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Explore a 35-minute lecture on inferring monosynaptic connections from cross-correlograms of neuronal spike trains. Delivered by Shigeru Shinomoto from Kyoto University at the Institut Henri Poincaré in Paris, this talk delves into advanced neuroscience techniques. Learn about the methods used to analyze neuronal spike train data and how cross-correlograms can reveal direct synaptic connections between neurons. Gain insights into the challenges and approaches for interpreting these complex datasets to understand neural circuit connectivity. This lecture is suitable for researchers, graduate students, and professionals in neuroscience, computational biology, and related fields interested in cutting-edge methods for mapping brain circuitry.

Syllabus

Inferring monosynaptic connections from a cross-correlogram of neuronal spike trains


Taught by

Institut Henri Poincaré

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