AbstractIt is proposed that chaotic attractors incorporated in neural net models can represent classes of patterns in the same way in which a set of static attractors represent unrelated patterns. Therefore, chaotic states of neuron activity are associated with higher level cognitive processes such as generalization and abstraction
My PhD research consists of the processing of signals from a 14-electrode EEG system, connected to i...
International audienceFor the last thirty years, progress in the field of physics, known as "Chaos t...
Most theoretical studies of the computational capabilities of balanced, recurrent E/I networks assu...
AbstractIt is proposed that chaotic attractors incorporated in neural net models can represent class...
Chaos in dynamical systems potentially provides many different dynamical states arising from a singl...
Abstract. It has been proposed that chaos can serve as a reservoir providing an infinite number of d...
The neural net computer simulations which will be presented here are based on the acceptance of a se...
For the last twenty years, several assumptions have been expressed in the fields of information proc...
This paper proposes a new dynamical memory system based on chaotic neural networks, and its learning...
Abstract: The chaotic neural network (NN) is introduced as a model of olfactory system. Th...
SummaryNeural circuits display complex activity patterns both spontaneously and when responding to a...
Among many newly raised issues in neuroscience, we have been particularly interested in three issues...
The search for chaotic patterns has occupied numerous investigators in neuroscience, as in many othe...
Abstract: One of the main aspects of brain activity is the ability to predict. Large effo...
tructure of a strange attractor in the phase space without getting stuck at local minima. This abili...
My PhD research consists of the processing of signals from a 14-electrode EEG system, connected to i...
International audienceFor the last thirty years, progress in the field of physics, known as "Chaos t...
Most theoretical studies of the computational capabilities of balanced, recurrent E/I networks assu...
AbstractIt is proposed that chaotic attractors incorporated in neural net models can represent class...
Chaos in dynamical systems potentially provides many different dynamical states arising from a singl...
Abstract. It has been proposed that chaos can serve as a reservoir providing an infinite number of d...
The neural net computer simulations which will be presented here are based on the acceptance of a se...
For the last twenty years, several assumptions have been expressed in the fields of information proc...
This paper proposes a new dynamical memory system based on chaotic neural networks, and its learning...
Abstract: The chaotic neural network (NN) is introduced as a model of olfactory system. Th...
SummaryNeural circuits display complex activity patterns both spontaneously and when responding to a...
Among many newly raised issues in neuroscience, we have been particularly interested in three issues...
The search for chaotic patterns has occupied numerous investigators in neuroscience, as in many othe...
Abstract: One of the main aspects of brain activity is the ability to predict. Large effo...
tructure of a strange attractor in the phase space without getting stuck at local minima. This abili...
My PhD research consists of the processing of signals from a 14-electrode EEG system, connected to i...
International audienceFor the last thirty years, progress in the field of physics, known as "Chaos t...
Most theoretical studies of the computational capabilities of balanced, recurrent E/I networks assu...
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