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- Laurent Perrinet, Arnaud Delorme, Manuel Samuelides, Simon J. Thorpe
- Neurocomputing
- 2001

Based on neurophysiological observations of the behavior of synapses, Spike Time Dependent Hebbian Plasticity is a novel extension to the modeling of the Hebb Rule [6]. This rule has enormousâ€¦ (More)

- P. Bourret, Simon Goodall, Manuel Samuelides
- International 1989 Joint Conference on Neuralâ€¦
- 1989

This study provides two results: (1) a theorem that enables a shared resource scheduling problem to be transformed into an unshared resource problem; (2) a competitive activation-based neural networkâ€¦ (More)

- Laurent Perrinet, Manuel Samuelides, Simon J. Thorpe
- IEEE Transactions on Neural Networks
- 2004

To understand possible strategies of temporal spike coding in the central nervous system, we study functional neuromimetic models of visual processing for static images. We will first present theâ€¦ (More)

- Emmanuel DaucÃ©, Mathias Quoy, Bruno Cessac, Bernard Doyon, Manuel Samuelides
- Neural Networks
- 1998

Freeman's investigations on the olfactory bulb of the rabbit showed that its signal dynamics was chaotic, and that recognition of a learned stimulus is linked to a dimension reduction of the dynamicsâ€¦ (More)

- Laurent Perrinet, Manuel Samuelides
- ESANN
- 2002

In order to explore coding strategies in the retina, we use a wavelet-like transform which output is sparse, as is observed in biological retinas [4]. This transform is defined in the context of aâ€¦ (More)

- Bernard Doyon, Bruno Cessac, Mathias Quoy, Manuel Samuelides
- NIPS
- 1992

The occurence of chaos in recurrent neural networks is supposed to depend on the architecture and on the synaptic coupling strength. It is studied here for a randomly diluted architecture. Byâ€¦ (More)

- Alain Dutech, Manuel Samuelides
- Revue d'Intelligence Artificielle
- 2003

We present a new algorithm that extends the Reinforcement Learning framework to Partially Observed Markov Decision Processes (POMDP). The main idea of our method is to build a state extension, calledâ€¦ (More)

- Bruno Cessac, Manuel Samuelides
- ArXiv
- 2006

This paper presents an overview of some techniques and concepts coming from dynamical system theory and used for the analysis of dynamical neural networks models. In a first section, we describe theâ€¦ (More)

- Laurent Perrinet, Manuel Samuelides
- Neurocomputing
- 2002

It is generally assumed that neurons in the central nervous system communicate through temporal Â£ring patterns. As a Â£rst step, we will study the learning of a layer of realistic neurons in theâ€¦ (More)

- Bernard Doyon, Bruno Cessac, Mathias Quoy, Manuel Samuelides
- Acta biotheoretica
- 1995

The dynamical behaviour of a very general model of neural networks with random asymmetric synaptic weights is investigated in the presence of random thresholds. Using mean-field equations, theâ€¦ (More)