Recent & Upcoming Events
2025
Welcome to the Institut de Neurosciences de la Timone! We are thrilled to introduce you to our groundbreaking research that bridges experimental and theoretical neuroscience.
Our visit today is organized by members of the Center for Computational Neuroscience (CONECT). You can explore our ongoing projects and initiatives at https://conect-int.github.io/.
Welcome to the Institut de Neurosciences de la Timone! We are thrilled to introduce you to our groundbreaking research that bridges experimental and theoretical neuroscience.
Our visit today is organized by members of the Center for Computational Neuroscience (CONECT). You can explore our ongoing projects and initiatives at https://conect-int.github.io/.
2024
2023
Title: Neural computation through population dynamics
Question
Detecting precise spiking motifs in neurobiological data
This meet-up was focused on discussing recent developments in Spiking Neural Networks, with plenty of time for discussion.
- We met at INT, Laurent Vinay meeting room.
program
10:00
- Laurent Perrinet
- Title: A short intro on Precise Spiking Motifs in Neurobiological and Neuromorphic Data
- Slides: https://conect-int.github.io/slides/2023-03-28-conect-seminar-day-on-snns/
10:30
2022
TL;DR This project aims to develop a method for the automated detection of repeating spiking motifs, possibly noisy, in ongoing activity. Results are available on the shared repo: https://github.com/SpikeAI/2022-11_brainhack_DetecSpikMotifs
Description
Leaders
- Matthieu Gilson - https://github.com/MatthieuGilson
- Laurent Perrinet - https://github.com/LaurentPerrinet
Collaborators
- Hugo Ladret
- George Abitbol
Brainhack Global 2022 Event
- Brainhack Marseille
- supported by the Polychronies grant
Project Description
The study of spatio-temporal correlated activity patterns is very active in several fields related to neuroscience, like machine learning in vision (Muller Nat Rev Neurosci 2018) and neuronal representations and processing (Shahidi Nat Neurosci 2019). This project aims to develop a method for the automated detection of repeating spiking motifs, possibly noisy, in ongoing activity. A diversity of formalizations and detection methods have been proposed and we will focus on several example measures for event/spike trains, to be compared on both synthetic and real data.
Title: Neural computation through population dynamics
Question
How does neural population dynamics relate to behaviorally-relevant computations?
