Slides | CONECT | Computational Neuroscience Center @ INT

Computational Neuroscience projet

Mon, 19 Jun 2023 14:00:00 +0000

Neural computation through population dynamics

Computational Neuroscience project

CENTURI Summer school

https://conect-int.github.io/talk/2023-06-20-conect-at-the-centuri-summer-school/

Who are we?


Nicolas Meirhaeghe	Laurent Perrinet

Challenge: brain decoding

Objectives

Learn computational methods to interpret and interrogate neural data
Learn to reduce the complexity of high-dimensional neural data
Learn statistical approaches to perform hypothesis-testing on neural data
Learn the principles of decoding analyses to relate neural data to behavioral data

Datasets

Dataset 1: reaching task (Hatsopoulos et al., J. Neurophysiol., 2004)

Dataset 2: time interval task (Meirhaeghe et al., Neuron, 2021)

Dataset 1: reaching task

Hatsopoulos, Joshi, and O’Leary (2004) doi:10.1152/jn.01245.2003

Goal: decode intended arm movements from motor cortical activity

Dataset 2: time interval task

Meirhaeghe, Sohn, and Jazayeri (2021) doi:10.1016/j.neuron.2021.08.025

Goal: relating neural dynamics to animals’ behavioral performance

Dataset 2: time interval task

Malvache, Reichinnek, Vilette, Haimerl & Cossart (2016) doi:10.1126/science.aaf3319

Goal: use precise spike times to improve decoding

Questions?

home page: https://conect-int.github.io/talk/2022-06-20-conect-at-the-centuri-summer-school/
Contact us @ nicolas.meirhaeghe@univ-amu.fr, laurent.perrinet@univ-amu.fr
GitHub repository: https://github.com/CONECT-INT/2023_CENTURI-SummerSchool

Questions?

CONECT thematic day on Spiking Neural Networks

Tue, 28 Mar 2023 10:00:00 +0000

Spiking Neural Networks

CONECT thematic day

CONECT: Computational Neuroscience Center @ INT

Challenge: Visual latencies

Thorpe & Fabre-Thorpe, 2001

Challenge: Visual latencies

Review on Precise Spiking Motifs

Key: Spiking Neural Networks

Mainen Sejnowski, 1995

Key: Spiking Neural Networks

Diesmann et al. 1999

Hypothesis: Spiking motifs

Review on Precise Spiking Motifs

Hypothesis: Spiking motifs

Review on Precise Spiking Motifs

Today’s program…


Sander Bohte	Antoine Grimaldi	Benoit Miramond	Andrea Castagnetti	Yann Cherdo

Program & more

Computational Neuroscience projet

Mon, 20 Jun 2022 14:00:00 +0000

Computational Neuroscience projet

CENTURI Summer school

https://conect-int.github.io/talk/2022-06-20-conect-at-the-centuri-summer-school/

Who are we?


Nicolas Meirhaeghe	Laurent Perrinet

Challenge: brain decoding

Objectives

Learn computational methods to interpret and interrogate neural data
Learn to reduce the complexity of high-dimensional neural data
Learn statistical approaches to perform hypothesis-testing on neural data
Learn the principles of decoding analyses to relate neural data to behavioral data

Datasets

Dataset 1: reaching task (Hatsopoulos et al., J. Neurophysiol., 2004)
Dataset 2: grasping task (Brochier et al., Sci. Data, 2018)
Dataset 3: time interval task (Meirhaeghe et al., Neuron, 2021)

Dataset 1: reaching task

Goal: decode intended arm movements from motor cortical activity

Hatsopoulos, Joshi, and O’Leary (2004) doi:10.1152/jn.01245.2003

Dataset 2: grasping task

Goal: predicting animals’ reaction times from neural preparatory activity

Brochier, Zehl, Hao, Duret, Sprenger, Denker, Grün, & Riehle (2018) Scientific Data 5 : 180055. doi:10.1038/sdata.2018.55

Dataset 3: time interval task

Goal: relating neural dynamics to animals’ behavioral performance

Meirhaeghe, Sohn, and Jazayeri (2021) doi:10.1016/j.neuron.2021.08.025

Questions?

home page: https://conect-int.github.io/talk/2022-06-20-conect-at-the-centuri-summer-school/
Contact us @ nicolas.meirhaeghe@univ-amu.fr, laurent.perrinet@univ-amu.fr
GitHub repository: https://github.com/CONECT-INT/2022_CENTURI-SummerSchool

Slides

Tue, 05 Feb 2019 00:00:00 +0000

CoNeCt

the Computational Neuroscience Center @ INT

https://conect-int.github.io

Tremendous technological advances

two photon imaging
large population recording-array technologies
optogenetic circuit control tools
transgenic manipulations
large volume circuit reconstructions

A transdisciplinary revolution

across several disciplines (physics, genetics, biology, robotics, psychiatry, ..)
and multiple scales (from micro to macro, from short to long-term, from theory to biology)
new frontiers … and new challenges

CoNeCt: Computational Neuroscience Center

close collaboration between experimentalists and theoreticians
share state-of-the-art (experimentalists well aware of theoretical approaches, experimental techniques for theoreticians)
complementary in its purpose from neuroinformatics… but distinct

We are convinced that close collaboration between experimentalists and theoreticians in neuroscience is essential to develop mechanistic as well as quantitative understandings of how the brain performs its functions. This is in fact a primary motivating force in establishing this center.
However, for such collaborations to be effective, experimentalists must be well aware of the approaches and challenges in modeling while theoreticians must be well acquainted with the experimental techniques, their power and the challenges they present.
CoNeCt has also the ambition to contribute to the training of a new generation of neuroscientists who will have all these qualities.

This approach is therefore complementary but distinct in its purpose from neuroinformatics (creation of tools for analyzing neuroscientific data) or artificial intelligence (creation of algorithms inspired by the functioning of the brain). The field of computational neuroscience is still young but its community is now structured in an autonomous community with strong interaction with the other branches of neuroscience. It is this autonomy that we want to foster at INT.

Objectives of CoNeCt

to create a space for scientific discussion and animation
train students and staff and attract young researchers:
structuring the network of computational neurosciences at INT, on Timone, on AMU and in France & International

Actions of CoNeCt

Questions?

https://conect-int.github.io

Let’s discuss on Mattermost

Slides

Tue, 05 Feb 2019 00:00:00 +0000

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