Difference between revisions of "Pathways to the 2023 IHP thematic program Random Processes in the Brain/Materials"

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<big>'''An interview with Markus Diesmann'''</big>
 
<big>'''An interview with Markus Diesmann'''</big>
 
[[File:An interview with - Markus Diesmann-0BOdv4MbRCw.webm|250px]]
 
[[File:An interview with - Markus Diesmann-0BOdv4MbRCw.webm|250px]]
NeuroMat PI Antonio Carlos Roque da Silva Filha interviews Markus Diesmann.
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NeuroMat PI Antonio Carlos Roque da Silva Filho interviews Markus Diesmann.
 
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Latest revision as of 20:35, 3 October 2022

HOMEPARTICIPANTSWEBINARSDISCUSSIONFURTHER CONTENT
Banner 2 NeuroMat pathways to the 2023 IHP thematic program - Random Processes in the Brain.jpg
Logo - Neuromat - Horizontal - EN v2.svg

Videos

Approximate Bayesian Computation

Massimiliano Tamborrino, from the University of Warwick, briefly presents the Approximate Bayesian Computation method.



Spike sorting

NeuroMat investigator Christophe Pouzat presents on a strategy to monitor neural activity.



Structural learning by the brain

A video on the statistician-brain conjecture, a central line of research at the RIDC NeuroMat.



An interview with Markus Diesmann

NeuroMat PI Antonio Carlos Roque da Silva Filho interviews Markus Diesmann.



Reading

On stochastic neural modeling
  1. Probabilistic spiking neuronal nets - Neuromathematics for the computer era, Galves et al, 2022



On the statistician-brain conjecture
  1. Retrieving the structure of probabilistic sequences of auditory stimuli from EEG data, Hernández et al, 2021
  2. Retrieving a Context Tree from EEG Data, Duarte et al, 2019