Neuromorphic-Computing

Laurent U Perrinet

Working Memory in Recurrent Spiking Neural Networks With Heterogeneous Synaptic Delays

Laurent U Perrinet

Detection of spiking motifs of arbitrary length in neural activity using bounded synaptic delays

Thomas Kronland-Martinet, Stéphane Viollet, Laurent U Perrinet

Working Memory in Recurrent Spiking Neural Networks Using Heterogeneous Synaptic Delays

Learning Working Memory in Recurrent Spiking Neural Networks Using Heterogeneous Delays

Laurent U Perrinet

2026-03-05-ue-natural-cognition

Jean-Nicolas Jérémie

2026-02-10-biomplus

2026-02-03-ai-and-neuroscience-day

Al for visual processing and energy-efficient algorithms

2026-01-29-emergences

Working Memory with Polychronous Chains

Laurent U Perrinet

2025-05-26-master-m-4-nc

2025-03-11-phd-program-sparse-representations

2025-02-14-supaero

2025-02-11-neuromath

Integrating the What and Where Visual Pathways to Improve CNN Categorisation

Jean-Nicolas Jérémie, Emmanuel Daucé, Laurent U Perrinet

2024-11-18-journee-biomometisme

NeuroAI: interactions multiples entre Neurosciences et Intelligence artificielle

A Robust Event-Driven Approach to Always-on Object Recognition

Antoine Grimaldi, Victor Boutin, Sio-Hoi Ieng, Ryad Benosman, Laurent U Perrinet

Robots aériens agiles bio-mimetiques pour le vol en conditions réelles: Enjeux pour l'IA embarqué

2024-09-09-agileneurobot-anr

Kernel Heterogeneity Improves Sparseness of Natural Images Representations

Hugo Ladret, Christian Casanova, Laurent U Perrinet

Accurate Detection of Spiking Motifs in Neurobiological Data by Learning Heterogeneous Delays of a Spiking Neural Network

Laurent U Perrinet

Soutenance de thèse Antoine Grimaldi

2024-05-13-master-m-4-nc

PhD thesis 'Focus of attention: a sensory-motor task for energy reduction in spiking neural networks'

2024-04-10-ue-neurosciences-computationnelles

2024-04-17-phd-program-sparse-representations

Analyser de larges volumes de données neurobiologiques, vers une approche biomimétique

2024-03-27-emergences.md

2024-02-05-udem.md

Event-based vision

2023-12-14-jraf.md

Event-based vision

Event-based vision

2023-12-01-biocomp.md

Accurate Detection of Spiking Motifs by Learning Heterogeneous Delays of a Spiking Neural Network

2023-11-07-snufa.md

Time-to-Contact Map by Joint Estimation of Up-to-Scale Inverse Depth and Global Motion using a Single Event Camera

Urbano Miguel Nunes, Laurent U Perrinet, Sio-Hoi Ieng

Emergences (2023 / 2027)

Accurate Detection of Spiking Motifs by Learning Heterogeneous Delays of a Spiking Neural Network

2023-09-27_icann.md

Learning heterogeneous delays in a layer of spiking neurons for fast motion detection

Antoine Grimaldi, Laurent U Perrinet

Event-based vision

2023-09-08_fresnel.md

2023-05-10-phd-program_neurosciences-computationnelles.md

Postdoc position "Accurate detection of precise spiking motifs in neurobiological data"

2023-04-05-ue-neurosciences-computationnelles

Artificial neural networks and machine learning applied to the understanding of biological vision

2023-04-03-master-m-4-nc

Stakes of Neuromorphic Foveation: a promising future for embedded event cameras

Amélie Gruel, Dalia Hareb, Antoine Grimaldi, Jean Martinet, Laurent U Perrinet, Bernabé Linares-Barranco, Teresa Serrano-Gotarredona

Precise spiking motifs in neurobiological and neuromorphic data

Antoine Grimaldi, Amélie Gruel, Camille Besnainou, Jean-Nicolas Jérémie, Jean Martinet, Laurent U Perrinet

Learning heterogeneous delays of spiking neurons for motion detection

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

Polychronies (2022 / 2025)

Learning heterogeneous delays of spiking neurons for motion detection

Antoine Grimaldi, Laurent U Perrinet

Decoding spiking motifs using neurons with heterogeneous delays

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

Learning heterogeneous delays of Spiking Neurons for motion detection

Contributions of neuroscience to the detection and localization of objects in visual inputs

Polychrony detection using heterogeneous delays

2022-03-23_UE-neurosciences-computationnelles

From event-based computations to a bio-plausible Spiking Neural Network

Antoine Grimaldi, Victor Boutin, Sio-Hoi Ieng, Ryad Benosman, Laurent U Perrinet

A homeostatic gain control mechanism to improve event-driven object recognition

Antoine Grimaldi, Victor Boutin, Sio-Hoi Ieng, Laurent U Perrinet, Ryad Benosman

A robust bio-inspired approach to event-driven object recognition

Antoine Grimaldi, Victor Boutin, Sio-Hoi Ieng, Laurent U Perrinet, Ryad Benosman

ANR AgileNeuRobot (2021/2025)

PhD offer "Ultra-fast vision using Spiking Neural Networks"

APROVIS3D (2019/2023)

SpikeAI: laureat du Défi Biomimétisme (2019)

Back to the present: dealing with delays in biological and neuromorphic systems

Tutorial on predictive coding

2016-10-26 : EUVIP BICV

DOC2AMU (2016/2019)

Motion-based prediction with neuromorphic hardware

Motion-based prediction with neuromorphic hardware

Biologically Inspired Computer Vision

Gabriel Cristóbal, Laurent U Perrinet, Matthias S Keil

BrainScaleS (2011/2014)

FACETS (2006/2010)

FACETS-ITN (2010/2013)

WP5 - Demo 1.3 : Spiking model of motion-based prediction

Demo 1, Task4: Implementation of models showing emergence of cortical fields and maps

Why methods and tools are the key to artificial brain-like systems

How and why do image frequency properties influence perceived speed?

Andrew Isaac Meso, Claudio Simoncini, Laurent U Perrinet, Guillaume S Masson

Apparent motion in V1 - Probabilistic approaches

MotionClouds: Model-based stimulus synthesis of natural-like random textures for the study of motion perception

Demo 1, Task4: Implementation of models showing emergence of cortical fields and maps

2010-06-22 : CodeJamNr4

Correlating Excitation and Inhibition in Visual Cortical Circuits : Functional Consequences and Biological Feasibility

Jens Oliver Kremkow

NeuralEnsemble: Towards a meta-environment for network modeling and data analysis

Pierre Yger, Daniel Bruderle, Jochen Eppler, Jens Kremkow, Dejan Pecevski, Laurent U Perrinet, Michael Schmuker, Eilif Muller, Andrew P Davison

Adaptive Sparse Spike Coding : applications of Neuroscience to the compression of natural images

Laurent U Perrinet

PyNN: A Common Interface for Neuronal Network Simulators

Andrew P Davison, Daniel Bruderle, Jochen Eppler, Jens Kremkow, Eilif Muller, Dejan Pecevski, Laurent U Perrinet, Pierre Yger

Neural Codes for Adaptive Sparse Representations of Natural Images

Neural Codes for Adaptive Sparse Representations of Natural Images

Laurent U Perrinet

PyNN: towards a universal neural simulator API in Python

Andrew P Davison, Pierre Yger, Jens Kremkow, Laurent U Perrinet, Eilif Muller

Dynamical contrast gain control mechanisms in a layer 2/3 model of the primary visual cortex

Laurent U Perrinet, Jens Kremkow