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Foveated Retinotopy Improves Classification and Localization in CNNs
Foveated Retinotopy in CNNs. We represent Left an input image and how it is transformed by foveated retinotopy. We show below a …
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Foveated Retinotopy Improves Classification and Localization in CNNs
Classification of Mental Workload Spatial Effects using Riemannian Manifold
This study investigates the use of Riemannian geometry to classify mental workload from an EEG dataset collected in an aeronautical …
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Classification of Mental Workload Spatial Effects using Riemannian Manifold
Integrating the What and Where Visual Pathways to Improve CNN Categorisation
Convolutional Neural Networks (CNNs) have been widely used for categorisation tasks over the past decades. Many studies have attempted …
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Integrating the What and Where Visual Pathways to Improve CNN Categorisation
Le mystère de la Joconde éclairé par les neurosciences
sur Radio Canada, par Sonia Lupien : Les neurones de la Joconde : Les neurones de la Joconde (Émission ICI Première • Pénélope - 12 …
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Le mystère de la Joconde éclairé par les neurosciences
Retinotopy in CNN's implements Efficient Visual Search
Read the corresponding paper Jean-Nicolas Jérémie, Emmanuel Daucé, Laurent U Perrinet (2026). Foveated Retinotopy Improves …
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Retinotopy in CNN's implements Efficient Visual Search
Chats, mouches, humains : comment la vision a évolué en de multiples facettes
Grâce à nos yeux, l’organe sensible de la vision, nous pouvons aisément et instantanément explorer le monde visible qui nous entoure. …
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Time-to-Contact Map by Joint Estimation of Up-to-Scale Inverse Depth and Global Motion using a Single Event Camera
Event cameras asynchronously report brightness changes with a temporal resolution in the order of microseconds, which makes them …
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Time-to-Contact Map by Joint Estimation of Up-to-Scale Inverse Depth and Global Motion using a Single Event Camera
Retinotopy improves the categorisation and localisation of visual objects in CNNs
as was presented at the 32nd International Conference on Artificial Neural Networks (ICANN 2023) in Heraklion (Greece). this …
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Retinotopy improves the categorisation and localisation of visual objects in CNNs
Learning heterogeneous delays in a layer of spiking neurons for fast motion detection
read the paper online (paywall) or read the reprint as PDF full code with extensive Supplementary Material join the Zotero group to …
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Retinotopy in CNN's implements Efficient Visual Search
While foveated vision, a trait shared by many animals including humans, is a major contributor to biological visual performance, it has …
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Retinotopy in CNN's implements Efficient Visual Search
Cortical recurrence supports resilience to sensory variance in the primary visual cortex
Our daily endeavors occur in a complex visual environment, whose intrinsic variability challenges the way we integrate information to …
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Cortical recurrence supports resilience to sensory variance in the primary visual cortex
Ultra-Fast Image Categorization in biology and in neural models
Humans are able to robustly categorize images and can, for instance, detect the presence of an animal in a briefly flashed image in as …
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Ultra-Fast Image Categorization in biology and in neural models
Formes et perception
Rétinotopie. L’image du tableau “Les Ambassadeurs” de Hans Holbein le Jeune peut être représentée sur une grille régulière représentée …
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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: …
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Precise spiking motifs in neurobiological and neuromorphic data
Why do neurons communicate through spikes? By definition, spikes are all-or-none neural events which occur at continuous times. In …
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Precise spiking motifs in neurobiological and neuromorphic data
Detection of precise spiking motifs using spike-time dependent weight and delay plasticity
The spiking response of a biological neuron depends on the precise timing of afferent spikes. This temporal aspect of the neuronal code …
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Recurrent cortical connectivity in the primary visual cortex supports robust encoding of natural sensory inputs
This poster is presented in the following paper (published in Nature Comm Biology): Hugo Ladret, Nelson Cortes, Lamyae Ikan, Frédéric …
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Ultra-rapid visual search in natural images using active deep learning
This work extends to natural scenes a previous work on visual search on a simplified task formulated in Emmanuel Daucé, Pierre …
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Ultra-rapid visual search in natural images using active deep learning
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 …
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Ultra-rapid visual search in natural images using active deep learning
What You See Is What You Transform: Foveated Spatial Transformers as a Bio-Inspired Attention Mechanism
Convolutional Neural Networks have been considered the go-to option for object recognition in computer vision for the last couple of …
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What You See Is What You Transform: Foveated Spatial Transformers as a Bio-Inspired Attention Mechanism
Decoding orientation distributions from noisy observations in V1
This poster is presented in the following paper (published in Nature Comm Biology): Hugo Ladret, Nelson Cortes, Lamyae Ikan, Frédéric …
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Ultra-fast categorization of images containing animals in vivo and in computo
see a follow-up in: Jean-Nicolas Jérémie, Laurent U Perrinet (2023). Ultra-Fast Image Categorization in biology and in neural models. …
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Ultra-fast categorization of images containing animals in vivo and in computo
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 …
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Le jeu du cerveau et du hasard
Dans la pièce de théâtre la plus célèbre de Marivaux Le jeu de l’amour et du hasard, l’auteur joue à inverser le rôle des …
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Le jeu du cerveau et du hasard