Novel visual computations
Novel visual computations
Home
Featured
Events
Projects
People
Publications
Talks
Grants
BlogBook
Contact
Light
Dark
Automatic
efficient coding
Learning hetero-synaptic delays of Spiking Neurons for motion detection
The response of a biological neuron depends on the precise timing of afferent spikes. This temporal aspect of the neuronal code is …
Antoine Grimaldi
,
Laurent U Perrinet
Last updated on May 20, 2022
Cite
URL
Ultra-rapid visual search in natural images using active deep learning
Visual search, that is, the simultaneous localization and detection of a visual target of interest, is a vital task. Applied to the …
Jean-Nicolas Jérémie
,
Emmanuel Daucé
,
Laurent U Perrinet
Last updated on May 20, 2022
Cite
URL
Learning hetero-synaptic delays of Spiking Neurons for motion detection
Antoine Grimaldi
,
Laurent U Perrinet
Last updated on May 20, 2022
Cite
URL
Retinotopic mapping improves the reliability of image classification
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. Preprint PDF Cite Code DOI
Jean-Nicolas Jérémie
,
Emmanuel Daucé
,
Laurent U Perrinet
Last updated on May 20, 2022
Cite
URL
A Robust Event-Driven Approach to Always-on Object Recognition
We propose a neuromimetic architecture able to perform always-on pattern recognition. To achieve this, we extended an existing …
Antoine Grimaldi
,
Victor Boutin
,
Sio-Hoi Ieng
,
Ryad Benosman
,
Laurent U Perrinet
PDF
Cite
DOI
URL
From event-based computations to a bio-plausible Spiking Neural Network
We propose a neuromimetic online classifier for always-on digit recognition. To achieve this, we extend an existing event-based …
Antoine Grimaldi
,
Victor Boutin
,
Sio-Hoi Ieng
,
Ryad Benosman
,
Laurent U Perrinet
PDF
Cite
Video
A homeostatic gain control mechanism to improve event-driven object recognition
We propose a neuromimetic architecture able to perform pattern recognition. To achieve this, we extended the existing event-based …
Antoine Grimaldi
,
Victor Boutin
,
Sio-Hoi Ieng
,
Laurent U Perrinet
,
Ryad Benosman
Preprint
PDF
Cite
Video
DOI
A robust bio-inspired approach to event-driven object recognition
We propose a neuromimetic architecture able to perform online pattern recognition. To achieve this, we extended the existing …
Antoine Grimaldi
,
Victor Boutin
,
Sio-Hoi Ieng
,
Laurent U Perrinet
,
Ryad Benosman
PDF
Cite
Cite
×