Energy and computation in natural neural networks
Title: Energy and computation in natural neural networks
Speaker: Rémi Monasson (ENS, Paris)
Abstract: Despite the unsustainable growth in energy consumption by artificial intelligence models and the recognition of the major role played by metabolic constraints in brain evolution, the relationship between computation and energy remains insufficiently studied and understood. In this presentation, I will show two recent experiments that shed light on this relationship. More specifically, I will show how models of these circuits, inspired from statistical physics, can predict energy consumption under normal conditions and help explain resilience in the event of prolonged resource scarcity.

