Mini Cours

NeuroMod

Events

About

The NeuroMod Institute organises seminars and mini-courses at a monthly period. Mini-courses are two successive courses lasting 1h30 each, giving an introduction on a given topic, for Master 2 students or researchers from different fields such as: psychology, linguistic, cognition, neuroscience, pharmacology, computer science, electronics, physics, mathematics, all interested in neuroscience and applications.

Each mini-course will be reccorded and released on the website.

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Next Courses


Archives

24.09.19_"Stochastic modelling and statistics in neuroscience"_Massimiliano Tamborrino

After introducing some key LIF models, we will learn how to face the corresponding FPT problem, deriving quantities of interest such as density, mean and variance.

May 16th 2019 - From whole brain network dynamics to functional connectome. - Joana Cabral

Over the last decade, computer simulations of whole-brain network dynamics have shown that the brain’s complex network structure of long axonal projections connecting brain areas – the so-called structural Connectome - not only mediates long-range communication between brain areas but also shapes brain activity in space and time.

April 5th 2019 - Multi-scale modeling in neuroscience - Claire Guerrier CNRS

Presentation of several tools to address multi-scale modeling in neuroscience.

March 8th 2019 - "Phase response curves in neuroscience: basic concepts and advanced topics" - Boris Gutkin.

Study on various types of oscillation in neuronal systems by Boris Gutkin from the Laboratoire de Neurosciences Cognitives et Computationelles, ENS Ulm

March 6th 2019, 13h30-15h00, "Bases neurales des décisions sous incertitude", Jérémie Naudé

Approches comportementales, physiologiques et computationnelles des prises de décisions basées sur la valeur des options.

March 6th 2019, 10h-11h30, "Modélisation de trajectoires neurales par plasticité synaptique de type STDP dans le cortex cérébral au sein de l'activité asynchrone caractéristique de l'état éveillé." Bruno Delord

Imiter les conditions réelles d’apprentissage de séquences neurales chez le mammifère supérieur, en considérant une procédure « online », au sein de laquelle l’activité du réseau et l’apprentissage synaptique ont lieu de façon simultanée.

Biolinguistic Considerations of the Language Faculty across Phenotypes - Kleanthes K. Grohmann

Universal Grammar (UG) denotes the species-specific faculty of language, presumed to be invariant across individuals. Over the years, it has shrunk from a full-blown set of principles and parameters to a much smaller set of properties, possibly as small as just containing the linguistic structure-building operation Merge, [...]. UG qua human faculty of language is further assumed to constitute the “optimal solution to minimal design specifications"[...]

Linguistic: Five Questions in Biolinguistics - Kleanthes K. Grohmann - University of Cyprus

This component lays out the emerging field of biolinguistics along five ‘foundational questions’

Neurophysiological correlates of music - Daniele Schön - Aix-Marseille University

An introduction to experimental neurosciences applied to the study of music perception

Linguistic: Introduction to Syntax - Kleanthes K. Grohmann - University of Cyprus

This component introduces modern syntactic theory in a long, single lecture starting with the big picture perspective: What is the goal of linguistic theory?

Symposium on Ion channels and Channelopathies @ IPMC, November 20th 2018

IPMC and C@UCA are organizing a symposium on Ion Channels and Channelopathies. Bill Catterall (visiting the UCA thanks to the support of the Academy 4) will be the Keynote Speaker with two presentations (more on pathophysiology in the morning, more on molecular/structural features in the afternoon). There will be external speakers (F. Benfenati, H. Lerche, P. Lory, M. Pusch), speakers of the C@UCA program, and IPMC speakers.

Calcium Channel Regulation, Synaptic Plasticity, and Spatial Learning - Seminar @ IPMC, October 24th, 11h30

William Catterall from the University of Washington, Seattle, USA

A few open mathematical questions in neuroscience - Thibaud Taillefumier - 10h, LJAD, Conference Room

In this course, Thibaud Taillefumier will presents some mathematical open questions relative to neural coding.

Antonio Galves (CEPID NeuroMat, Sao Paulo)

Context tree modeling of scientific data: from language to the brain

Neuromorphic architectures: challenges of electronic integration of artificial neural networks and case study on Kohonen models. Benoît Miramond (Video)

The design of neuromorphic architectures in state of the art technologies faces a number of challenges that we will identify. We will discuss how the solutions explored at the international level respond to them today and study the cas of the Kohonen maps implementation.

Contribution of the environmental enrichment model in mice in understanding the links between the nervous and immune systems. Alice Guyon (Vidéo)

Innovative work highlights complex interactions between the brain and the immune system under physiological and pathological conditions. We will present recent data illustrating the role of T lymphocytes in the effects of Enriched Environment on brain plasticity and discuss possible modes of action of immune cells on the brain.

The stochastic integrative properties of thalamic and cortical neurons _ Thierry Bal et Alain Destexhe (Videos, pdf: slides)

In this joint course, Alain Destexhe and Thierry Bal will overview experimental and theoretical approaches to synaptic noise and oscillation in neurons.

The stochastic integrative properties of thalamic and cortical neurons

An overview of experimental and theoretical approaches to synaptic noise and oscillation in neurons.

Meeting between topology and neuroscience _ Kathryn Hess

Topology is a part of mathematics often call "rubber-sheet geometry". Topologists study the properties of geometrical objects, as connectivity, wich don't change with continuous transformation [...]

Human electrical brain activity: non-invasives mesures _ Maureen Clerc (Slides)

Brain is the source of permanent electric activity resulting from communication between neurons. By measuring this activity, one can gets access to its spatio-temporal dynamics, by determining which brain region is involved in a given task, and when it is the case [...]

Flexible homeostatic control of neuronal signalling _ Timothy O’Leary

Nervous systems face two seemingly contradictory requirements : the need to maintain tight regulation of physiological properties, and the need to alter physiological properties in response to, or anticipation of, external events. [...]

Spoken language processing: from encoding to understanding. A challenge... for life! _ Fanny Meunier

The understanding of spoken language is a daily activity, accessible to the vast majority of us. Yet, under it appearance of extreme simplicity, it covers complex processes.

Basic models and questions in statistical network analysis _ Sébastien Bubeck (link)

Extracting information from large graphs has become an important statistical problem since network data is now common in various fields. In this minicourse we will investigate natural statistical questions in three different contexts : (i) presence of community structure, (ii) presence of geometric structure, and (iii) dynamic networks.

Faith Chiu (UCL) Seminar on the coupling and decoupling neural activity in speech perception

An analysis of coupling and decoupling neural activity in speech perception

The "Random Neural Network" (RNN). _ Erol Gelenbe (Videos)

By showing measures examples on brain neurons where observed sequence of signals show both a brief and discontinuous behavior of near to be constant amplitude and a random behavior in time.

From the molecule to the smell _ Jérôme Golebiowski

The sense of smell is a "chemical" sense. It embodies the strategy developed by our brain to detect and discriminate the thousands of volatile molecules with which we are in daily contact.

Introduction to the functioning of human memory and its models _ Fabien Mathy (Video)

This course describes the cognitive mechanisms of forgetting and exposes several models that reflect its transitory nature.

Theorical and computational modelisation in Neurosciences and in cognitives sciences _ Frédéric Lavigne (pdf: slides in french)

Experimental approach of sémantic treatment process: Interest of behavioral data for the neural modelisation

Probabilistic study of a family of membrane potential models including ion channels. _ Michèle Thieullen (Video)

A probabilistic study of a neuron through a type of model including the opening / closing mechanism of ion channels.

Piecewise-deterministic Markov process_ Benoite de Saporta (Video)

When a phenomenon is too complex to be modeled by a deterministic dynamic system of reasonable size, systems that include multiple regimes can be used. A well-defined theoretical framework is that of Piecewise-deterministic Markov Process (PDMP). In this mini-course, we will give an overview of the essential properties of PDMPs and advanced simulation techniques. This course will be accessible to the greatest number.

Discrete Event Neural Modeling : Toward Linking Biological and Cognitive Levels. _ Bernard P. Ziegler (PDF)

Theory of modeling and simulation, based on systems theory, aims at proposing a coherent framework for studying and implementing dynamic computational systems. After a brief overview of the theory, representation of biological neural net complexity will be discussed in the context of computational systems. After presenting the usual way of describing the behaviors of neurons (through integrate and fire dynamics),

New perspectives for analyzing fMRI signals: simultaneous EEG / fMRI acquisitions and fMRI functional connectivity_ Christophe Grova (Video)

The aim of the conference will be to present the simultaneous acquisition of functional Magnetic Resonance Imaging (fMRI) data with ElectroEncephalography (EEG) data.

Spike trains and chain systems with variable order memory _ Eva Löcherbach (Video)

Introduction and study of a simple model in discrete time for the generation of spikes in a system with an infinity of interacting neurons.

Statistical tests: what it means (informally) and how to use it in neuroscience. _ Patricia Reynaud-Bouret (Videos)

In neuroscience (and in many other fields), scientists are asking fundamental questions that can only be answered yes or no. For example, does the subject do the same thing twice? Do the different neurons that can be recorded during this task behave independently or not?

Stochastic neural field equations. _ Wilhelm Stannat (Video)

Neural field equations are used to describe the spatiotemporal evo- lution of the average activity in a network of synaptically coupled populations of neurons in the continuum limit. This deterministic description is only accu- rate in the infinite population limit and the actual finite size of the populations causes deviations from the mean field behavior.

Functional connectivity rules within neural networks_ Thomas Bessaïh & Régis Lambert (Videos)

The perception of the outside world implies the establishment of a spatial representation of the information of our environment and to follow its evolution over time. The spatial mapping of perceived information is based on a neuronal organization of the cortex in functionally distinct sensory areas.

Neuronal populations recordings: why and how? _ Christophe Pouzat (Video)

The recordings of neuron populations are more and more practiced in physiology laboratories. They are on several animal models and with different recording techniques, each with its strengths and weaknesses. We will present the different techniques currently used by linking them to their origins (often old) and discuss methods of analysis.

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