3 papers
q-bio.NC2019
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…
q-bio.NC2017
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…
q-bio.NC2017
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…