40 citations · 49 across the 6 of their papers we have counts for
6 papers
Large Language Models with At Most One Spike per Neuron
Zhuoya Zhao, Parsa Omidi, Aref Jafari +1
Leveraging their inherent sparse event-driven computation, spiking neural networks (SNNs) offer a promising path toward energy-efficient large language models (LLMs). Time-to-first…
Connecting levels of analysis in the computational era
Richard Naud, André Longtin
Neuroscience and artificial intelligence are closely intertwined, but so are the physics of dynamical system, philosophy and psychology. Each of these fields try in their own way t…
Silences, Spikes and Bursts: Three-Part Knot of the Neural Code
Richard Naud, Zachary Friedenberger, Katalin Toth
When a neuron breaks silence, it can emit action potentials in a number of patterns. Some responses are so sudden and intense that electrophysiologists felt the need to single them…
Spike timing prediction with active dendrites
Richard Naud, Brice Bathellier, Wulfram Gerstner
A complete single-neuron model must correctly reproduce the firing of spikes and bursts. We present a study of a simplified model of deep pyramidal cells of the cortex with active…
Fluctuations and information filtering in coupled populations of spiking neurons with adaptation
Moritz Deger, Tilo Schwalger, Richard Naud +1
Finite-sized populations of spiking elements are fundamental to brain function, but also used in many areas of physics. Here we present a theory of the dynamics of finite-sized pop…
An Integral Equation Approach to the Dynamics of L2-3 Cortical Neurons
Richard Naud
How do neuronal populations encode time-dependent stimuli in their population firing rate? To address this question, I consider the quasi-renewal equation and the event-based expan…