Zobrazeno 1 - 10
of 202
pro vyhledávání: '"ROUGIER, Nicolas P."'
The structure of the basal ganglia is remarkably similar across a number of species (often described in terms of direct, indirect and hyperdirect pathways) and is deeply involved in decision making and action selection. In this article, we are intere
Externí odkaz:
http://arxiv.org/abs/2401.10849
Autor:
Chaix-Eichel, Naomi, Dagar, Snigdha, Lanneau, Quentin, Sobriel, Karen, Boraud, Thomas, Alexandre, Frédéric, Rougier, Nicolas P.
Using the reservoir computing framework, we demonstrate how a simple model can solve an alternation task without an explicit working memory. To do so, a simple bot equipped with sensors navigates inside a 8-shaped maze and turns alternatively right a
Externí odkaz:
http://arxiv.org/abs/2204.02484
We propose a variation of the self organizing map algorithm by considering the random placement of neurons on a two-dimensional manifold, following a blue noise distribution from which various topologies can be derived. These topologies possess rando
Externí odkaz:
http://arxiv.org/abs/2011.09534
Autor:
Rougier, Nicolas P.
Text editors are written by and for developers. They come with a large set of default and implicit choices in terms of layout, typography, colorization and interaction that hardly change from one editor to the other. It is not clear if these implicit
Externí odkaz:
http://arxiv.org/abs/2008.06030
We introduce a recurrent neural network model of working memory combining short-term and long-term components. e short-term component is modelled using a gated reservoir model that is trained to hold a value from an input stream when a gate signal is
Externí odkaz:
http://arxiv.org/abs/2003.11640
We introduce a general method to extract knowledge from a recurrent neural network (Long Short Term Memory) that has learnt to detect if a given input sequence is valid or not, according to an unknown generative automaton. Based on the clustering of
Externí odkaz:
http://arxiv.org/abs/1912.03126
Autor:
Alliez, Pierre, Di Cosmo, Roberto, Guedj, Benjamin, Girault, Alain, Hacid, Mohand-Said, Legrand, Arnaud, Rougier, Nicolas P.
Publikováno v:
Computing in Science \& Engineering 2020
Software is a fundamental pillar of modern scientiic research, not only in computer science, but actually across all elds and disciplines. However, there is a lack of adequate means to cite and reference software, for many reasons. An obvious rst rea
Externí odkaz:
http://arxiv.org/abs/1905.11123
This paper presents the self-organized neuromorphic architecture named SOMA. The objective is to study neural-based self-organization in computing systems and to prove the feasibility of a self-organizing hardware structure. Considering that these pr
Externí odkaz:
http://arxiv.org/abs/1810.12640
Publikováno v:
International Joint Conference on Neural Networks (IJCNN), Jul 2018, Rio de Janeiro, Brazil
The prefrontal cortex is known to be involved in many high-level cognitive functions, in particular, working memory. Here, we study to what extent a group of randomly connected units (namely an Echo State Network, ESN) can store and maintain (as outp
Externí odkaz:
http://arxiv.org/abs/1806.06545
Autor:
Rougier, Nicolas P.
We introduce a graphical method originating from the computer graphics domain that is used for the arbitrary and intuitive placement of cells over a two-dimensional manifold. Using a bitmap image as input, where the color indicates the identity of th
Externí odkaz:
http://arxiv.org/abs/1710.05189