12 citations · 13 across the 6 of their papers we have counts for
7 papers
Circular Belief Propagation for Approximate Probabilistic Inference
Vincent Bouttier, Renaud Jardri, Sophie Deneve
Belief Propagation (BP) is a simple probabilistic inference algorithm, consisting of passing messages between nodes of a graph representing a probability distribution. Its analogy…
A normative approach to radicalization in social networks
Vincent Bouttier, Salomé Leclercq, Renaud Jardri +1
In recent decades, the massification of online social connections has made information globally accessible in a matter of seconds. Unfortunately, this has been accompanied by a dra…
Learning temporal structure of the input with a network of integrate-and-fire neurons
Lyudmila Kushnir, Sophie Denève
The task of the brain is to look for structure in the external input. We study a network of integrate-and-fire neurons with several types of recurrent connections that learns the s…
The brain as an efficient and robust adaptive learner
Sophie Denève, Alireza Alemi, Ralph Bourdoukan
Understanding how the brain learns to compute functions reliably, efficiently and robustly with noisy spiking activity is a fundamental challenge in neuroscience. Most sensory and…
Learning arbitrary dynamics in efficient, balanced spiking networks using local plasticity rules
Alireza Alemi, Christian Machens, Sophie Denève +1
Understanding how recurrent neural circuits can learn to implement dynamical systems is a fundamental challenge in neuroscience. The credit assignment problem, i.e. determining the…
Learning to represent signals spike by spike
Wieland Brendel, Ralph Bourdoukan, Pietro Vertechi +2
A key question in neuroscience is at which level functional meaning emerges from biophysical phenomena. In most vertebrate systems, precise functions are assigned at the level of n…
Constructing precisely computing networks with biophysical spiking neurons
Michael A. Schwemmer, Adrienne L. Fairhall, Sophie Denéve +1
While spike timing has been shown to carry detailed stimulus information at the sensory periphery, its possible role in network computation is less clear. Most models of computatio…