online classification

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 !

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

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 …