Bruno Cessac

Orcid: 0000-0003-1523-4187

According to our database1, Bruno Cessac authored at least 18 papers between 1992 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Retinal Processing: Insights from Mathematical Modelling.
J. Imaging, 2022

2021
Linear Response of General Observables in Spiking Neuronal Network Models.
Entropy, 2021

2020
Thermodynamic Formalism in Neuronal Dynamics and Spike Train Statistics.
Entropy, 2020

2017
On the Mathematical Consequences of Binning Spike Trains.
Neural Comput., 2017

PRANAS: A New Platform for Retinal Analysis and Simulation.
Frontiers Neuroinformatics, 2017

2014
Parameter Estimation for Spatio-Temporal Maximum Entropy Distributions: Application to Neural Spike Trains.
Entropy, 2014

2012
Using event-based metric for event-based neural network weight adjustment.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2010
A View of Neural Networks as Dynamical Systems.
Int. J. Bifurc. Chaos, 2010

2009
A constructive mean-field analysis of multi population neural networks with random synaptic weights and stochastic inputs.
Frontiers Comput. Neurosci., 2009

2008
A Mathematical Analysis of the Effects of Hebbian Learning Rules on the Dynamics and Structure of Discrete-Time Random Recurrent Neural Networks.
Neural Comput., 2008

On dynamics of integrate-and-fire neural networks with conductance based synapses.
Frontiers Comput. Neurosci., 2008

Introducing numerical bounds to improve event-based neural network simulation
CoRR, 2008

To which extend is the "neural code" a metric ?
CoRR, 2008

2006
Expectation-Driven Interaction: a Model Based on Luhmann's Contingency Approach.
J. Artif. Soc. Soc. Simul., 2006

From Neuron to Neural Networks dynamics
CoRR, 2006

2005
Transmitting a signal by amplitude modulation in a chaotic network
CoRR, 2005

1998
Self-organization and dynamics reduction in recurrent networks: stimulus presentation and learning.
Neural Networks, 1998

1992
Destabilization and Route to Chaos in Neural Networks with Random Connectivity.
Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992


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