World's Best Scientists 2026 revealed!
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Computer Science
France
2025

D-Index & Metrics

Computer Science

D-Index
64
Citations
22287
World Ranking
2543
National Ranking
34

Research.com Recognitions

  • 2025 - Research.com Computer Science in France Leader Award
  • 2023 - Research.com Computer Science in France Leader Award
  • 2022 - Research.com Computer Science in France Leader Award

Overview

Simon J. Thorpe is affiliated with the Centre national de la recherche scientifique (CNRS) in France. Their research spans multiple intersecting domains, primarily within neuroscience, engineering, and computer science. Key areas of focus include cognitive neuroscience, electrical and electronic engineering, and artificial intelligence, with additional work related to cellular and molecular neuroscience, as well as computer vision and pattern recognition.

Their scholarly output demonstrates contributions across several significant topics. These include advanced memory and neural computing, visual attention and saliency detection, neural networks and reservoir computing, neural dynamics and brain function, face recognition and perception, visual perception and processing mechanisms, and ferroelectric and negative capacitance devices.

Simon J. Thorpe has collaborated frequently with several researchers, including Jacob G. Martin, Maximilian Riesenhuber, Charles Davis, Dennis Valbjørn Christensen, and Regina Dittmann. These recurrent co-authorships suggest ongoing partnerships in overlapping research areas.

The scientist's publications have appeared predominantly in venues such as arXiv (Cornell University), Neuromorphic Computing and Engineering, bioRxiv (Cold Spring Harbor Laboratory), Journal of Neuroscience Methods, and Frontiers in Neuroscience. These venues reflect a combination of preprint repositories and specialized journals relevant to neuroscience and engineering disciplines.

Recent papers by Simon J. Thorpe include the following:

  • Embedded Devices for Neuromorphic Time-Series Assessment, 2022, Maryland Shared Open Access Repository (USMAI Consortium)
  • 2021 Roadmap on Neuromorphic Computing and Engineering, 2021, arXiv (Cornell University)
  • Recording local field potential and neuronal activity with tetrodes in epileptic patients, 2020, Journal of Neuroscience Methods
  • Analyzing time-to-first-spike coding schemes: A theoretical approach, 2022, Frontiers in Neuroscience
  • Local entrepreneurship ecosystems and emerging industries, 2021, OECD local economic and employment development (LEED) working papers

Best Publications

  • Speed of processing in the human visual system

    S Thorpe;D Fize;C Marlot

  • Spike-based strategies for rapid processing.

    Simon J. Thorpe;Arnaud Delorme;Rufin van Rullen

  • The Time Course of Visual Processing: From Early Perception to Decision-Making

    Rufin Vanrullen;Simon J. Thorpe

  • STDP-based spiking deep convolutional neural networks for object recognition

    Saeed Reza Kheradpisheh;Saeed Reza Kheradpisheh;Mohammad Ganjtabesh;Simon J. Thorpe;Timothée Masquelier

  • Ultra-rapid object detection with saccadic eye movements : Visual processing speed revisited

    Holle Kirchner;Simon J. Thorpe

  • Rate Coding Versus Temporal Order Coding: What the Retinal Ganglion Cells Tell the Visual Cortex

    Rufin Van Rullen;Simon J. Thorpe

  • Unsupervised Learning of Visual Features through Spike Timing Dependent Plasticity

    Timothée Masquelier;Simon J Thorpe

  • Fast saccades toward faces: face detection in just 100 ms.

    Sébastien M. Crouzet;Holle Kirchner;Simon J. Thorpe

  • A Limit to the Speed of Processing in Ultra-Rapid Visual Categorization of Novel Natural Scenes

    Michèle Fabre-Thorpe;Arnaud Delorme;Catherine Marlot;Simon Thorpe

  • Parallel processing in high-level categorization of natural images.

    Guillaume A. Rousselet;Michèle Fabre-Thorpe;Simon J. Thorpe

  • Is it a bird? Is it a plane? Ultra-rapid visual categorisation of natural and artifactual objects.

    Rufin VanRullen;Simon J Thorpe

  • Competitive stdp-based spike pattern learning

    Timothée Masquelier;Rudy Guyonneau;Simon J. Thorpe

  • A cellular analogue of visual cortical plasticity

    Yves Frégnac;Daniel Shulz;Simon J. Thorpe;Elie Bienenstock

  • Surfing a spike wave down the ventral stream.

    Rufin VanRullen;Simon J Thorpe

  • Rank order coding

    Simon Thorpe;Jacques Gautrais

  • Dynamics of orientation coding in area V1 of the awake primate.

    Simona Celebrini;Simon Thorpe;Yves Trotter;Michel Imbert

  • BIOLOGICAL CONSTRAINTS ON CONNECTIONIST MODELLING

    Simon J. Thorpe

  • Rate coding versus temporal order coding: a theoretical approach.

    Jacques Gautrais;Simon Thorpe

  • The time course of visual processing: backward masking and natural scene categorisation.

    Nadège Bacon-Macé;Marc J.-M. Macé;Michèle Fabre-Thorpe;Simon J. Thorpe

  • Rapid categorization of natural images by rhesus monkeys

    Michèle Fabre-Thorpe;Ghislaine Richard;Simon J. Thorpe

  • STDP-based spiking deep neural networks for object recognition.

    Saeed Reza Kheradpisheh;Mohammad Ganjtabesh;Simon J. Thorpe;Timothée Masquelier

Frequent Co-Authors

Arnaud Delorme
Arnaud Delorme University of California, San Diego
Edmund T. Rolls
Edmund T. Rolls University of Warwick
Emmanuel J. Barbeau
Emmanuel J. Barbeau Centre national de la recherche scientifique, CNRS
Rufin VanRullen
Rufin VanRullen Centre national de la recherche scientifique, CNRS
Guillaume A. Rousselet
Guillaume A. Rousselet University of Glasgow
David I. Perrett
David I. Perrett University of St Andrews
Maximilian Riesenhuber
Maximilian Riesenhuber Georgetown University Medical Center
Yves Frégnac
Yves Frégnac Centre national de la recherche scientifique, CNRS
Jonathan Grainger
Jonathan Grainger Aix-Marseille University
Jean-Philippe Ranjeva
Jean-Philippe Ranjeva Aix-Marseille University

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