Efficient Coding

We propose a neuromimetic architecture able to perform always-on pattern recognition. To achieve this, we extended an existing …

as was presented at the 32nd International Conference on Artificial Neural Networks (ICANN 2023) in Heraklion (Greece). this proceedings paper follows up the poster presented in : Jean-Nicolas Jérémie, Emmanuel Daucé, Laurent U Perrinet (2023).

read the paper online (paywall) or read the reprint as PDF full code with extensive Supplementary Material join the Zotero group to add and discuss more items this paper is a follow-up of Antoine Grimaldi, Camille Besnainou, Hugo Ladret, Laurent U Perrinet (2022).

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

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.

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 🪩

👉🏼 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).

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

Visual search, that is, the simultaneous localization and detection of a visual target of interest, is a vital task. Applied to the …

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 !

for visual search see: 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 retinotopy, see: Jean-Nicolas Jérémie, Emmanuel Daucé, Laurent U Perrinet (2022).

Follow this future presentations Antoine Grimaldi, Laurent U Perrinet (2022). Learning heterogeneous delays of Spiking Neurons for motion detection. NeuroVision Workshop in conjunction with CVPR 2022. PDF Cite URL Glad to meet the @centuri_ls crowd at the #CENTURIday !

We propose a neuromimetic online classifier for always-on digit recognition. To achieve this, we extend an existing event-based …

We propose a neuromimetic architecture able to perform pattern recognition. To achieve this, we extended the existing event-based …

We propose a neuromimetic architecture able to perform online pattern recognition. To achieve this, we extended the existing …