Online Classification

this proceedings paper follows up the poster presented in :
Jean-Nicolas Jérémie, Emmanuel Daucé, Laurent U Perrinet (2023). Retinotopy improves the categorisation and localisation of visual objects in CNNs. In preparation.
Cite URL
Jean-Nicolas Jérémie, Emmanuel Daucé, Laurent U Perrinet
PDF Cite DOI URL

Retinotopy improves the categorisation and localisation of visual objects in CNNs

as was presented at the Computational Cognitive Neuroscience Society Meeting 2023 in Oxford

see a follow-up presentation in:
Jean-Nicolas Jérémie, Emmanuel Daucé, Laurent U Perrinet (2023). Retinotopy improves the categorisation and localisation of visual objects in CNNs. 32nd International Conference on Artificial Neural Networks (ICANN 2023).
PDF Cite DOI URL
Jean-Nicolas Jérémie, Emmanuel Daucé, Laurent U Perrinet
Cite URL

Learning heterogeneous delays of spiking neurons for motion detection

How to efficiently make use of time in neural computations? ⏱️
With @laurentperrinet we developed a model of spiking neuron including, in addition to synaptic weights, synaptic delays. https://t.co/eztnd5CUMn
Come see this work on Tuesday morning at #FENS2022 poster n° 547 🪩

Antoine Grimaldi, Laurent U Perrinet

Ultra-rapid visual search in natural images using active deep learning

👉🏼 Jean-Nicolas Jérémie @JnJerem
📍Poster session at #FENS2022
🎯 Ultra-rapid visual search in natural images using active deep learning.#FENSAmbassador @SocNeuro_Tweets @laurentperrinet 1/2 pic.twitter.com/ldGJMCQb4c
— Mélina Cordeau (@CordeauMelina) July 11, 2022

This work extends to natural scenes a previous work on visual search on a simplified task formulated in
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
Jean-Nicolas Jérémie, Emmanuel Daucé, Laurent U Perrinet
Cite URL

Decoding spiking motifs using neurons with heterogeneous delays

The response of a biological neuron depends largely on the precise timing of presynaptic spikes that reach the basal dendritic tree. …

Antoine Grimaldi, Camille Besnainou, Hugo Ladret, Laurent U Perrinet

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

Learning heterogeneous delays of Spiking Neurons for motion detection

During the #CVPR2022-#NeuroVision workshop about « What can computer vision learn from visual neuroscience? », @A_Grismaldi will talk today about « Learning hetero-synaptic delays of Spiking Neurons for motion detection » shows how to learn spike motifs !https://t.co/95HGSGUOUy

Antoine Grimaldi, Laurent U Perrinet

Last updated on 2022-05-20

Polychrony detection using heterogeneous delays