User profiles for Jean-Pierre Nadal
Jean-Pierre NadalCNRS & EHESS - LPENS, ENS, and CAMS, EHESS, Paris, France Verified email at phys.ens.fr Cited by 8919 |
Meet, discuss, and segregate!
We present a model of opinion dynamics in which agents adjust continuous opinions as a
result of random binary encounters whenever their difference in opinion is below a given …
result of random binary encounters whenever their difference in opinion is below a given …
Mutual information, Fisher information, and population coding
In the context of parameter estimation and model selection, it is only quite recently that a
direct link between the Fisher information and information-theoretic quantities has been …
direct link between the Fisher information and information-theoretic quantities has been …
Nonlinear neurons in the low-noise limit: a factorial code maximizes information transfer
JP Nadal, N Parga - Network: Computation in neural systems, 1994 - Taylor & Francis
We investigate the consequences of maximizing information transfer in a simple neural
network (one input layer, one output layer), focusing on the case of nonlinear transfer functions. …
network (one input layer, one output layer), focusing on the case of nonlinear transfer functions. …
[HTML][HTML] Optimal information storage and the distribution of synaptic weights: perceptron versus Purkinje cell
It is widely believed that synaptic modifications underlie learning and memory. However,
few studies have examined what can be deduced about the learning process from the …
few studies have examined what can be deduced about the learning process from the …
Neural networks that learn temporal sequences by selection.
…, JP Changeux, JP Nadal - Proceedings of the …, 1987 - National Acad Sciences
A model for formal neural networks that learn temporal sequences by selection is proposed
on the basis of observations on the acquisition of song by birds, on sequence-detecting …
on the basis of observations on the acquisition of song by birds, on sequence-detecting …
What can we learn from synaptic weight distributions?
Much research effort into synaptic plasticity has been motivated by the idea that modifications
of synaptic weights (or strengths or efficacies) underlie learning and memory. Here, we …
of synaptic weights (or strengths or efficacies) underlie learning and memory. Here, we …
The acquisition of allophonic rules: Statistical learning with linguistic constraints
Phonological rules relate surface phonetic word forms to abstract underlying forms that are
stored in the lexicon. Infants must thus acquire these rules in order to infer the abstract …
stored in the lexicon. Infants must thus acquire these rules in order to infer the abstract …
[HTML][HTML] Epidemiological modelling of the 2005 French riots: a spreading wave and the role of contagion
As a large-scale instance of dramatic collective behaviour, the 2005 French riots started in a
poor suburb of Paris, then spread in all of France, lasting about three weeks. Remarkably, …
poor suburb of Paris, then spread in all of France, lasting about three weeks. Remarkably, …
Heterogeneity and feedback in an agent-based market model
We propose an agent-based model of a single-asset financial market, described in terms of
a small number of parameters, which generates price returns with statistical properties …
a small number of parameters, which generates price returns with statistical properties …
Cerebellar learning using perturbations
10.7554/eLife.31599.001 The cerebellum aids the learning of fast, coordinated movements.
According to current consensus, erroneously active parallel fibre synapses are depressed …
According to current consensus, erroneously active parallel fibre synapses are depressed …