1 code implementation • ICLR 2019 • Victor Boutin, Angelo Franciosini, Laurent Perrinet
The formation of structure in the brain, that is, of the connections between cells within neural populations, is by large an unsupervised learning process: the emergence of this architecture is mostly self-organized.
no code implementations • 24 Jan 2023 • Ilias Rentzeperis, Luca Calatroni, Laurent Perrinet, Dario Prandi
Compared to other methods, soft thresholding achieves this level of sparsity at the expense of much degraded reconstruction performance, that more likely than not is not acceptable in biological vision.
1 code implementation • 3 Feb 2020 • Victor Boutin, Angelo Franciosini, Franck Ruffier, Laurent Perrinet
In this study, a new model called 2-Layers Sparse Predictive Coding (2L-SPC) is introduced to assess the impact of this inter-layer feedback connection.
1 code implementation • 20 Feb 2019 • Victor Boutin, Angelo Franciosini, Frederic Chavane, Franck Ruffier, Laurent Perrinet
Third, we demonstrate at the representational level that the SDPC feedback connections are able to overcome noise in input images.
1 code implementation • 24 Jan 2017 • Laurent Perrinet
Applying such a paradigm to computer vision therefore seems a promising approach towards more biomimetic algorithms.
no code implementations • 21 Nov 2016 • Cesar Ravello, Maria-Jose Escobar, Adrian Palacios, Laurent Perrinet
These recordings showed in particular that the reliability of spike timings varies with respect to the sparseness with globally a similar trend than the distribution of sparseness statistics observed in natural images.