Concentration of measure in "low-rank" biological neural networks

Recurrent neural networks with low-rank connectivity matrices are general and tractable models of collective dynamics in large networks. This class of models dates back to the seminal works of J. Hopfield (1982) and S. Amari (1972), and it still plays an instrumental role in computational neuroscience today. To highlight the analytical tractability of these models, I will first review some recent theoretical results concerning the case where the low-rank connectivity is random, the rank is kept fixed, and the number of neurons tends to infinity.

Behavioral Optimization for Homeostasis and Its Implications

Homeostasis of internal bodily states is essential for animal survival. Numerous neuroscientific studies suggest that processes such as water regulation, energy balance, and even social interactions can be interpreted as forms of homeostatic control over the body’s physical and chemical states. In computational neuroscience, reinforcement learning (RL) theory is widely recognized as a framework for modeling decision-making. However, the concept of reward in RL typically remains a free parameter.

A novel neuronal circuit embedded in the amygdala-accumbens pathway for fear expression

Fear is an evolutionarily conserved emotional response that is essential for protecting individuals against potentially harmful situations. When a threat occurs within a particular place, an associative fear memory is formed in the brain enabling individuals to adapt their future behaviour. Early work indicates that the basal amygdala (BA) plays a central role in fear processing.

Social Cognition, Emotions and Fiction: Theatre as an experimental ground for Cognitive Science

Jury :

  • Jonna Vuoskoski (University of Oslo), reviewer
  • Gabriele Sofia (Università di Roma Tre), reviewer 
  • Antonia Hamilton (University College London), examiner 
  • Louis Dieuzayde (Aix-Marseille University), examiner 
  • Marion Chénetier-Alex (Ecole Normale Supérieure-PSL), PhD co-supervisor 
  • Julie Grèzes (Ecole Normale Supérieure-PSL), PhD supervisor 

Summary :

L’aphantasie et l’imagerie tactile

Cette présentation examine l’impact de l’aphantasie sur l’expérience esthétique multisensorielle, en mettant l’accent sur la modalité tactile. Bien que l’imagerie soit le plus souvent étudiée dans le domaine visuel, l’imagerie tactile joue un rôle crucial lorsque l’exploration directe n’est pas possible. À partir d’une étude comparant un groupe d’aphantasiques à un groupe contrôle, j’exposerai comment l’aphantasie affecte non seulement l’imagerie visuelle, mais également  l’imagerie tactile.