128 citations · 138 across the 7 of their papers we have counts for
7 papers
Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding (Survey)
Subba Reddy Oota, Zijiao Chen, Manish Gupta +4
Can artificial intelligence unlock the secrets of the human brain? How do the inner mechanisms of deep learning models relate to our neural circuits? Is it possible to enhance AI b…
From implicit learning to explicit representations
Naomi Chaix-Eichel, Snigdha Dagar, Quentin Lanneau +4
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 se…
Knowledge extraction from the learning of sequences in a long short term memory (LSTM) architecture
Ikram Chraibi Kaadoud, Nicolas P. Rougier, Frédéric Alexandre
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, acc…
Sustainable computational science: the ReScience initiative
Nicolas P. Rougier, Konrad Hinsen, Frédéric Alexandre +42
Computer science offers a large set of tools for prototyping, writing, running, testing, validating, sharing and reproducing results, however computational science lags behind. In…
Combining Supervised and Unsupervised Learning for GIS Classification
Juan-Manuel Torres-Moreno, Laurent Bougrain, Frdéric Alexandre
This paper presents a new hybrid learning algorithm for unsupervised classification tasks. We combined Fuzzy c-means learning algorithm and a supervised version of Minimerror to de…
A computational approach to the covert and overt deployment of spatial attention
Jérémy Fix, Nicolas P. Rougier, Frédéric Alexandre
Popular computational models of visual attention tend to neglect the influence of saccadic eye movements whereas it has been shown that the primates perform on average three of the…