Simon J. Thorpe

发表

The speed of continuous face detection suggests shortcuts in the visual hierarchy for upright faces

Jacob G. Martin, Charles E. Davis, Maximilian Riesenhuber, 2017 .

NAVIG: Guidance system for the visually impaired using virtual augmented reality

Bernard Oriola, Christophe Jouffrais, Philippe Truillet, 2012 .

High Resolution Human Eye Tracking During Continuous Visual Search

Charles E. Davis, Maximilian Riesenhuber, Simon J. Thorpe, 2018, Front. Hum. Neurosci..

Combining STDP and Reward-Modulated STDP in Deep Convolutional Spiking Neural Networks for Digit Recognition pdf

Simon J. Thorpe, Timothée Masquelier, Milad Mozafari, 2018, ArXiv.

ULTRA-RAPID VISUAL CATEGORISATION USING ONE SPIKE PER NEURON

Simon J. Thorpe, 2001 .

Rapid Visual Processing using Spike Asynchrony

Jacques Gautrais, Simon J. Thorpe, S. Thorpe, 1996, NIPS.

Temporal codes and sparse representations: A key to understanding rapid processing in the visual system

Rufin VanRullen, Simon J. Thorpe, Rudy Guyonneau, 2004, Journal of Physiology-Paris.

Categorisation of complex natural images in extreme peripheral vision

Heinrich H. Bülthoff, Michèle Fabre-Thorpe, Karl R. Gegenfurtner, 1999 .

Animal Detection Precedes Access to Scene Category

Olivier R. Joubert, Michèle Fabre-Thorpe, Simon J. Thorpe, 2012, PloS one.

Tracking Your Mind's Eye during Recollection: Decoding the Long-Term Recall of Short Audiovisual Clips

Simon J. Thorpe, Christelle Larzabal, Nadège Bacon-Macé, 2020, Journal of Cognitive Neuroscience.

Face identification using one spike per neuron: resistance to image degradations

Arnaud Delorme, Simon J. Thorpe, S. Thorpe, 2001, Neural Networks.

Regularity is not a key factor for encoding repetition in rapid image streams

Simon J. Thorpe, Evelina Thunell, S. Thorpe, 2019, Scientific Reports.

The Implicit Learning of Noise: Behavioral Data and Computational Models

Daniel Pressnitzer, Simon J. Thorpe, Trevor R. Agus, 2010 .

Rank order coding

Jacques Gautrais, Simon J. Thorpe, S. Thorpe, 1998 .

Microsaccades during high speed continuous visual search

Charles E. Davis, Maximilian Riesenhuber, Simon J. Thorpe, 2020, bioRxiv.

Neurons Tune to the Earliest Spikes Through STDP

Rufin van Rullen, Simon J. Thorpe, Rudy Guyonneau, 2005, Neural Computation.

Feed-forward contour integration in primary visual cortex based on asynchronous spike propagation

Arnaud Delorme, Rufin van Rullen, Simon J. Thorpe, 2001, Neurocomputing.

Barlow's 1972 Paper

Wolf Singer, Andrew Parker, Simon J. Thorpe, 2009 .

Unsupervised learning of repeating patterns using a novel STDP based algorithm

Timothée Masquelier, Jacob G. Martin, Simon J. Thorpe, 2017 .

Parallel processing in high-level categorization of natural images

Guillaume A. Rousselet, Michèle Fabre-Thorpe, Simon J. Thorpe, 2002, Nature Neuroscience.

Saliency maps and ultra-rapid choice saccade tasks

Simon J. Thorpe, Sébastien M. Crouzet, Holle Kirchner, 2010 .

Spike-based strategies for rapid processing

Arnaud Delorme, Rufin van Rullen, Simon J. Thorpe, 2001, Neural Networks.

The role of spatial frequency in ultra-rapid scene categorization

Dirk Kerzel, Karl R. Gegenfurtner, Simon J. Thorpe, 2004 .

How to make a grandmother cell using Spike-Time Dependent Plasticity (STDP)

Olivier Bichler, Simon J. Thorpe, S. Thorpe, 2013 .

Networks of integrate-and-fire neuron using rank order coding A: How to implement spike time dependent Hebbian plasticity

Arnaud Delorme, Simon J. Thorpe, Manuel Samuelides, 2001, Neurocomputing.

RIVAGe Feedback during Visual Integration : towards a Generic Architecture

Rachid Deriche, Pierre Kornprobst, Olivier Faugeras, 2004 .

The Effects of Spatial Frequency on Binocular Fusion: From Elementary to Complex Images

Justin Plantier, Corinne Roumes, Simon J. Thorpe, 1997, Hum. Factors.

At 120 msec You Can Spot the Animal but You Don't Yet Know It's a Dog

Michèle Fabre-Thorpe, Simon J. Thorpe, Sébastien M. Crouzet, 2015, Journal of Cognitive Neuroscience.

Bio-inspired digit recognition using reward-modulated spike-timing-dependent plasticity in deep convolutional networks

Simon J. Thorpe, Milad Mozafari, Mohammad Ganjtabesh, 2018, Pattern Recognit..

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

Rufin van Rullen, Simon J. Thorpe, S. Thorpe, 2001, Neural Computation.

Unsupervised Learning of Visual Features through Spike Timing Dependent Plasticity

Timothée Masquelier, Simon J. Thorpe, S. Thorpe, 2007, PLoS Comput. Biol..

Connectionist Models of Orientation Identification

Alexandre Pouget, Simon J. Thorpe, 1991 .

Covert object recognition at large visual eccentricity

Michèle Fabre-Thorpe, Simon J. Thorpe, Muriel Boucart, 2010 .

SpikeNet: real-time visual processing with one spike per neuron

Rufin van Rullen, Simon J. Thorpe, Rudy Guyonneau, 2004, Neurocomputing.

The time-course of face-selective ERP activation during ultra-rapid saccades

Jacob G. Martin, Simon J. Thorpe, Max Riesenhuber, 2014 .

Digital electronic circuit and system implementing a spiking neural network for performing unsupervised detection of patterns

Jacob Martin, Timothée Masquelier, Simon J. Thorpe, 2017 .

Ultra-Rapid Scene Categorization with a Wave of Spikes

Simon J. Thorpe, S. Thorpe, 2002, Biologically Motivated Computer Vision.

Coding static natural images using spiking event times: do neurons Cooperate?

Simon J. Thorpe, Manuel Samuelides, Laurent Perrinet, 2004, IEEE Transactions on Neural Networks.

Spatial attention in asynchronous neural networks

Rufin van Rullen, Simon J. Thorpe, 1999, Neurocomputing.

Implementing Hebbian Learning in a Rank-Based Neural Network

Simon J. Thorpe, Manuel Samuelides, Emmanuel Veneau, 1997, ICANN.

How can the human visual system process a natural scene in under 150ms? Experiments and neural network models

Simon J. Thorpe, S. Thorpe, 1997, ESANN.

Stimulus Onset Hub: an Open-Source, Low Latency, and Opto-Isolated Trigger Box for Neuroscientific Research Replicability and Beyond

Charles E. Davis, Simon J. Thorpe, Jacob G. Martin, 2019, bioRxiv.

Bio-inspired digit recognition using reward-modulated spike-timing-dependent plasticity in deep convolutional networks

Abbas Nowzari-Dalini, Simon J. Thorpe, Timothée Masquelier, 2019, Pattern Recognit..

Sparse spike coding in an asynchronous feed-forward multi-layer neural network using matching pursuit

Simon J. Thorpe, Manuel Samuelides, Laurent Perrinet, 2004, Neurocomputing.

SpikeNET: A simulator for modeling large networks of integrate and fire neurons

Jacques Gautrais, Arnaud Delorme, Rufin van Rullen, 1999, Neurocomputing.

Navigation and space perception assistance for the visually impaired: The NAVIG project Assistance à la navigation et à la perception de l'espace pour les déficients visuels : le projet NAVIG

Mathieu Raynal, Paris Sud, Bernard Oriola, 2012 .

Power spectrum cues underlying ultra-fast saccades towards faces

Simon J. Thorpe, Sébastien M. Crouzet, Sebastien Crouzet, 2010 .

STDP-based spiking deep neural networks for object recognition

Timothée Masquelier, Simon J. Thorpe, Mohammad Ganjtabesh, 2016, Neural Networks.

Moving objects in ultra-rapid visual categorisation result in better accuracy, but slower reaction times than static presentations

Quoc C. Vuong, Simon J. Thorpe, Ian M. Thornton, 2005 .

Characteristics of human voice processing

Clara Suied, Daniel Pressnitzer, Simon J. Thorpe, 2010, Proceedings of 2010 IEEE International Symposium on Circuits and Systems.

Unsupervised Feature Learning With Winner-Takes-All Based STDP

Franck Mamalet, Simon J. Thorpe, Paul Ferré, 2018, Front. Comput. Neurosci..

NAVIG: augmented reality guidance system for the visually impaired

Michel Denis, Christophe Jouffrais, Philippe Truillet, 2012, Virtual Reality.

Networks of integrate-and-fire neurons using Rank Order Coding B: Spike timing dependent plasticity and emergence of orientation selectivity

Arnaud Delorme, Simon J. Thorpe, Laurent Perrinet, 2001, Neurocomputing.

Learning complex cell invariance from natural videos: A plausibility proof

Thomas Serre, Tomaso Poggio, Timothée Masquelier, 2007 .

Designing an assistive device for the blind based on object localization and augmented auditory reality

Bernard Oriola, Christophe Jouffrais, Brian F. G. Katz, 2008, Assets '08.

Unsupervised features extraction from asynchronous silicon retina through Spike-Timing-Dependent Plasticity

Damien Querlioz, Olivier Bichler, Christian Gamrat, 2011, The 2011 International Joint Conference on Neural Networks.

Image Processing by the Human Visual System

Simon J. Thorpe, S. Thorpe, 1990, Advances in Computer Graphics.

Low-Level Cues and Ultra-Fast Face Detection

Simon J. Thorpe, Sébastien M. Crouzet, Sébastien M. Crouzet, 2011, Front. Psychology.

Learning to recognize objects using waves of spikes and Spike Timing-Dependent Plasticity

Timothée Masquelier, Simon J. Thorpe, S. Thorpe, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Extraction of temporally correlated features from dynamic vision sensors with spike-timing-dependent plasticity

Damien Querlioz, Olivier Bichler, Christian Gamrat, 2012, Neural Networks.

Spike-Based Image Processing: Can We Reproduce Biological Vision in Hardware?

Simon J. Thorpe, 2012, ECCV Workshops.

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

Simon J. Thorpe, Holle Kirchner, S. Thorpe, 2006, Vision Research.

Limits of Event-related Potential Differences in Tracking Object Processing Speed

Guillaume A. Rousselet, Michèle Fabre-Thorpe, Simon J. Thorpe, 2007, Journal of Cognitive Neuroscience.

Category-dependent variations in visual processing time

Simon J. Thorpe, Sébastien M. Crouzet, Holle Kirchner, 2010 .

Rapid Method for research and recognition of a digital image representative of at least one graphic pattern in a digital image bank

Simon J. Thorpe, Nicolas Guilbaud, S. Thorpe, 2006 .

Word Processing Speed in Peripheral Vision

Jonathan Grainger, Simon J. Thorpe, Myriam Chanceaux, 2011 .

Rank-based Hebbian learning in a multilayered neural network

Simon J. Thorpe, Manuel Samuelides, James M. Vaccaro, 1999, Other Conferences.

Competitive STDP-Based Spike Pattern Learning

Timothée Masquelier, Simon J. Thorpe, Rudy Guyonneau, 2009, Neural Computation.

Process for fast search and detection of a digital image representing at least one graphic pattern in a bank of digital images

Simon J. Thorpe, Nicolas Guilbaud, S. Thorpe, 2007 .

Design study of efficient digital order-based STDP neuron implementations for extracting temporal features

Jacques-Olivier Klein, Olivier Bichler, Christian Gamrat, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Suggestions for a biologically inspired spiking retina using order-based coding

José Antonio Pérez-Carrasco, Simon J. Thorpe, Adrien Brilhault, 2010, Proceedings of 2010 IEEE International Symposium on Circuits and Systems.

Spike arrival times: A highly efficient coding scheme for neural networks

Simon J. Thorpe, S. Thorpe, 1990 .

Learning simple and complex cells-like receptive fields from natural images: a plausibility proof

Tomaso Poggio, Timothée Masquelier, Simon J. Thorpe, 2010 .

BIOLOGICAL CONSTRAINTS ON CONNECTIONIST MODELLING

Simon J. Thorpe, S. Thorpe, 2015 .

Artificial Vision for the Blind: a Bio-Inspired Algorithm for Objects and Obstacles Detection

Christophe Jouffrais, Simon J. Thorpe, Florian Dramas, 2010, Int. J. Image Graph..

Grandmother cells, Neocortical Dark Matter and very long term visual memories

Simon J. Thorpe, S. Thorpe, 2011 .

Extremely long-term memory and familiarity after 12 years

Simon J. Thorpe, Emmanuel J. Barbeau, Christelle Larzabal, 2018, Cognition.

Rapid Formation of Robust Auditory Memories: Insights from Noise

Daniel Pressnitzer, Simon J. Thorpe, Trevor R. Agus, 2010, Neuron.

Long Term Memory for Noise: Evidence of Robust Encoding of Very Short Temporal Acoustic Patterns

Florence Rémy, Simon J. Thorpe, Nadège Bacon-Macé, 2016, Front. Neurosci..

INTERNATIONAL CONGRESS ON ACOUSTICS MADRID , 2-7 SEPTEMBER 2007 MODELS OF TIMBRE USING SPECTRO-TEMPORAL RECEPTIVE FIELDS : INVESTIGATION OF CODING STRATEGIES

Mounya Elhilali, Daniel Pressnitzer, Shihab Shamma, 2007 .

Measuring the receptive field sizes of the mechanisms underlying ultra-rapid saccades to faces

Simon J. Thorpe, Adrien Brilhault, S. Thorpe, 2011 .

ULTRA RAPID FACE DETECTION IN NATURAL IMAGES : IMPLICATIONS FOR COMPUTATION IN THE VISUAL SYSTEM

Michèle Fabre-Thorpe, Simon J. Thorpe, Sébastien M. Crouzet, 2006 .

Processing of one, two or four natural scenes in humans: the limits of parallelism

Guillaume A. Rousselet, Michèle Fabre-Thorpe, Simon J. Thorpe, 2004, Vision Research.

On the speed of natural scene categorisation in human and non-human primates

Michèle Fabre-Thorpe, Simon J. Thorpe, Ghislaine Richard, 1998 .