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.
Inferring Monosynaptic Connections from Cross-Correlograms of Neuronal Spike Trains
Institut Henri Poincaré via YouTube
Overview
Syllabus
Inferring monosynaptic connections from a cross-correlogram of neuronal spike trains
Taught by
Institut Henri Poincaré
Related Courses
-
System of Interacting Neurons with Short-Term Synaptic Facilitation
-
A New Synaptic Rule to Unify Experimental Heterogeneity
-
Inferring and Characterizing Neuronal Connectivity with Deep Geometry and Topology
-
Theoretical Study of the Emergence of Periodic Solutions for the Inhibitory NNLIF Neuron Model with Synaptic Delay
-
Self-Organized Criticality in Hierarchical Modular Networks of Galves-Löcherbach Neurons
-
Neural Decoding of Spike Trains and Local Field Potentials with Machine Learning in Python
