International audienceThis work provides theoretical conditions guaranteeing that a self-organizing map efficiently 9 develops representations of the input space. The study relies on a neural fields model of spatiotemporal 10 activity in area 3b of the primary somatosensory cortex. We rely on Lyapunov's theory for neural 11 fields to derive theoretical conditions for stability. The theoretical conditions are verified by numerical 12 experiments. The analysis highlights the key role played by the balance between excitation and inhibi-13 tion of lateral synaptic coupling and the strength of synaptic gains in the formation and maintenance 14 of self-organizing maps. 15 1
The thesis investigates principles of self-organization that may account for the observed structure...
Neural field models are commonly used to describe wave propagation and bump attractors at a tissue l...
Special issue of Neural Networks Journal after the WSOM 05 ConferenceSpecial issue of Neural Network...
International audienceThis work provides theoretical conditions guaranteeing that a self-organizing ...
International audienceThis paper presents a one dimensional dynamic neural field that can continuous...
International audienceAs introduced by Amari, dynamic neural fields (DNF) are a mathematical formali...
The Self-Organizing Map (SOM) is a subtype of artificial neural networks [1]. It is trained using un...
www.elsevier.com/locate/neunet Various forms of the self-organizing map (SOM) have been proposed as ...
Kohonen Self-Organizing maps are interesting computational structures because of their original prop...
In the self-organizing map (SOM), the best matching units (BMUs) affect neurons as a function of dis...
We investigate, by a systematic numerical study, the parameter dependence of the stability of the Ko...
International audienceIn this paper, dynamic neural fields are used to develop key features of a cort...
Self-organisation is a universal phenomenon observable in many natural systems: both animate and ina...
The thesis investigates principles of self-organization that may account for the observed structure...
Neural field models are commonly used to describe wave propagation and bump attractors at a tissue l...
Special issue of Neural Networks Journal after the WSOM 05 ConferenceSpecial issue of Neural Network...
International audienceThis work provides theoretical conditions guaranteeing that a self-organizing ...
International audienceThis paper presents a one dimensional dynamic neural field that can continuous...
International audienceAs introduced by Amari, dynamic neural fields (DNF) are a mathematical formali...
The Self-Organizing Map (SOM) is a subtype of artificial neural networks [1]. It is trained using un...
www.elsevier.com/locate/neunet Various forms of the self-organizing map (SOM) have been proposed as ...
Kohonen Self-Organizing maps are interesting computational structures because of their original prop...
In the self-organizing map (SOM), the best matching units (BMUs) affect neurons as a function of dis...
We investigate, by a systematic numerical study, the parameter dependence of the stability of the Ko...
International audienceIn this paper, dynamic neural fields are used to develop key features of a cort...
Self-organisation is a universal phenomenon observable in many natural systems: both animate and ina...
The thesis investigates principles of self-organization that may account for the observed structure...
Neural field models are commonly used to describe wave propagation and bump attractors at a tissue l...
Special issue of Neural Networks Journal after the WSOM 05 ConferenceSpecial issue of Neural Network...