Deep Learning

Both biological and artificial neural networks inherently balance their performance with their operational cost, which balances their …

Humans are able to robustly categorize images and can, for instance, detect the presence of an animal in a briefly flashed image in as …

Neurons in the primary visual cortex are selective to orientation with various degrees of selectivity to the spatial phase, from high …

Follows a previous work Emmanuel Daucé, Pierre Albigès, Laurent U Perrinet (2020). A dual foveal-peripheral visual processing model implements efficient saccade selection. Journal of Vision. Cite DOI Pdf Code URL bioRxiv for a follow-up, check out Jean-Nicolas Jérémie, Emmanuel Daucé, Laurent U Perrinet (2022).

see a follow-up in: Jean-Nicolas Jérémie, Laurent U Perrinet (2023). Ultra-Fast Image Categorization in biology and in neural models. Vision. Cite DOI arXiv see an extension to visual search in: Jean-Nicolas Jérémie, Emmanuel Daucé, Laurent U Perrinet (2022).

Both neurophysiological and psychophysical experiments have pointed out the crucial role of recurrent and feedback connections to …

a follow-up of: Emmanuel Daucé, Pierre Albigès, Laurent U Perrinet (2020). A dual foveal-peripheral visual processing model implements efficient saccade selection. Journal of Vision. Cite DOI Pdf Code URL bioRxiv the mathematical details are described as a talk the 1st International WS on #ActiveInference #IWAI2020 at @ECMLPKDD https://t.

Cells in the primary visual cortex of mammals (V1) have historically been divided into two classes: simple and complex. Simple cells …

In computer vision, the visual search task consists in extracting a scarce and specific visual information (the target) from a large …

Cells in the primary visual cortex of mammals (V1) have historically been divided into two classes: simple and complex. Simple cells …

Hierarchical Sparse Coding (HSC) is a powerful model to efficiently represent multi-dimensional, structured data such as images. The …

In computer vision, the visual search task consists in extracting a scarce and specific visual information (the target) from a large …

Both neurophysiological and psychophysical experiments have pointed out the crucial role of recurrent and feedback connections to …

Sparse coding holds the idea that signals can be concisely described as a linear mixture of few components (called atoms) picked from a …

see a follow-up in: Victor Boutin, Angelo Franciosini, Frédéric Chavane, Franck Ruffier, Laurent U Perrinet (2021). Sparse Deep Predictive Coding captures contour integration capabilities of the early visual system. PLoS Computational Biology.

If you’re at #sfn2019 and have an interest in #sparse #deep Predictive Coding, checkout @VictorBoutin ‘s poster 403.16 / P20:https://t.co/2VLEsl98oU It shows today + comes with a (timely) preprint https://t.co/FfKi9tjqrN !

The brain has to solve inverse problems to correctly interpret sensory data and infer the set of causes that generated the sensory …

Recording eye movements is a technique that attracts an increasing number of scientists, but also in the general public. Indeed, this …

The formation of connections between neural cells is essentially emerging from an unsupervised learning process. During the development …

It is widely assumed that visual processing follows a forward sequence of processing steps along a hierarchy of laminar sub-populations …

The selectivity of the visual system to oriented patterns is very well documented in a wide range of species, especially in mammals. In …

The brain has to solve inverse problems to correctly interpret sensory data and infer the set of causes that generated the sensory …

Improve performances of existing recognition computer vision algorithms with biological concepts. The gain are expected in the …

One core advantage of sparse representations is the efficient coding of complex signals using compact codes. For instance, it allows …

One core advantage of sparse representations is the efficient coding of complex signals using compact codes. For instance, it allows …