56 citations · 282 across the 25 of their papers we have counts for
25 papers
Constraints on the design of neuromorphic circuits set by the properties of neural population codes
Stefano Panzeri, Ella Janotte, Alejandro Pequeño-Zurro +2
In the brain, information is encoded, transmitted and used to inform behaviour at the level of timing of action potentials distributed over population of neurons. To implement neur…
Biologically plausible solutions for spiking networks with efficient coding
Veronika Koren, Stefano Panzeri
Understanding how the dynamics of neural networks is shaped by the computations they perform is a fundamental question in neuroscience. Recently, the framework of efficient coding…
Causal learning with sufficient statistics: an information bottleneck approach
Daniel Chicharro, Michel Besserve, Stefano Panzeri
The inference of causal relationships using observational data from partially observed multivariate systems with hidden variables is a fundamental question in many scientific domai…
Conditionally-additive-noise Models for Structure Learning
Daniel Chicharro, Stefano Panzeri, Ilya Shpitser
Constraint-based structure learning algorithms infer the causal structure of multivariate systems from observational data by determining an equivalent class of causal structures co…
Mathematical studies of the dynamics of finite-size binary neural networks: A review of recent progress
Diego Fasoli, Stefano Panzeri
Traditional mathematical approaches to studying analytically the dynamics of neural networks rely on the mean-field approximation, which is rigorously applicable only to networks o…
Stationary-State Statistics of a Binary Neural Network Model with Quenched Disorder
Diego Fasoli, Stefano Panzeri
We study the statistical properties of the stationary firing-rate states of a neural network model with quenched disorder. The model has arbitrary size, discrete-time evolution equ…