S. Thorpe

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Localized versus distributed representations

S. Thorpe, 1998 .

Surfing a spike wave down the ventral stream

S. Thorpe, R. VanRullen, 2002, Vision Research.

Seeking Categories in the Brain

S. Thorpe, M. Fabre-Thorpe, 2001, Science.

The time course of visual processing: Backward masking and natural scene categorisation

S. Thorpe, M. Macé, M. Fabre-Thorpe, 2005, Vision Research.

Speed of processing in the human visual system

S. Thorpe, D. Fize, Catherine Marlot, 1996, Nature.

Dynamics of orientation coding in area V1 of the awake primate

S. Thorpe, M. Imbert, S. Celebrini, 1993, Visual Neuroscience.

A cellular analogue of visual cortical plasticity

Y. Frégnac, S. Thorpe, E. Bienenstock, 1988, Nature.

Spike times make sense

S. Thorpe, R. VanRullen, R. Guyonneau, 2005, Trends in Neurosciences.

Spike Timing Dependent Plasticity Finds the Start of Repeating Patterns in Continuous Spike Trains

S. Thorpe, R. Guyonneau, T. Masquelier, 2008, PloS one.

Rapid categorization of natural images by rhesus monkeys

S. Thorpe, M. Fabre-Thorpe, G. Richard, 1998, Neuroreport.

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

S. Thorpe, R. VanRullen, 2001, Journal of Cognitive Neuroscience.

Speed of processing in the human visual system

Denis Fize, Simon Thorpe, Catherine Marlot, 1996, Nature.

Unsupervised Learning of Visual Features through Spike Timing Dependent Plasticity

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

Taking the MAX from neuronal responses

S. Thorpe, G. Rousselet, M. Fabre-Thorpe, 2003, Trends in Cognitive Sciences.

How parallel is visual processing in the ventral pathway?

S. Thorpe, G. Rousselet, M. Fabre-Thorpe, 2004, Trends in Cognitive Sciences.

Rapid categorization of achromatic natural scenes: how robust at very low contrasts?

S. Thorpe, M. Macé, M. Fabre-Thorpe, 2005, The European journal of neuroscience.

Face processing using one spike per neurone.

R Van Rullen, J Gautrais, A Delorme, 1998, Bio Systems.

STDP-based spiking deep convolutional neural networks for object recognition

S. Thorpe, T. Masquelier, S. R. Kheradpisheh, 2018 .

1 BIOLOGICAL CONSTRAINTS ON CONNECTIONIST MODELLING

S. Thorpe, M. Imbert, 1989 .

Rapid Visual Processing using Spike Asynchrony

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

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

S. Thorpe, A. Delorme, Catherine Marlot, 2001, Journal of Cognitive Neuroscience.

A cellular analogue of visual cortical plasticity

Y. Frégnac, S. Thorpe, E. Bienenstock, 1988, Nature.

Cellular analogs of visual cortical epigenesis. I. Plasticity of orientation selectivity

Y. Frégnac, S. Thorpe, E. Bienenstock, 1992, The Journal of neuroscience : the official journal of the Society for Neuroscience.

BIOLOGICAL CONSTRAINTS ON CONNECTIONIST MODELLING

Simon J. Thorpe, S. Thorpe, 2015 .

The orbitofrontal cortex: Neuronal activity in the behaving monkey

S. Thorpe, E. Rolls, S. Maddison, 2004, Experimental Brain Research.

STDP-based spiking deep neural networks for object recognition

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

Neural processing of stereopsis as a function of viewing distance in primate visual cortical area V1

S. Thorpe, M. Imbert, S. Celebrini, 1996 .

Rate coding versus temporal order coding: a theoretical approach.

J Gautrais, S Thorpe, S. Thorpe, 1998, Bio Systems.

Neurons Tune to the Earliest Spikes Through STDP

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

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.

Psychology and Neuroscience : Towards a Common Language

S. Thorpe, 1992 .

Extremely long-term memory and familiarity after 12 years

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

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

Sébastien M. Crouzet, S. Thorpe, H. Kirchner, 2010, Journal of vision.

Temporal synchrony and the speed of visual processing

S. Thorpe, 1993, Behavioral and Brain Sciences.

The bear before the forest, but the city before the cars: Revealing early object/background processing

Olivier R. Joubert, Sébastien M. Crouzet, S. Thorpe, 2010 .

Rapid categorization of foveal and extrafoveal natural images: Associated ERPs and effects of lateralization

S. Thorpe, M. Fabre-Thorpe, D. Fize, 2005, Brain and Cognition.

NAVIG : Navigation Assisted by Artificial Vision and GNSS

S. Thorpe, B. Katz, C. Jouffrais, 2010 .

Investigating implicit statistical learning mechanisms through contextual cueing

S. Thorpe, A. Didierjean, A. Goujon, 2015, Trends in Cognitive Sciences.

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.

Sensory-specific satiety: Food-specific reduction in responsiveness of ventral forebrain neurons after feeding in the monkey

S. Yaxley, E. T. Rolls, S. J. Simpson, 1986, Brain Research.

Effects of task requirements on rapid natural scene processing: from common sensory encoding to distinct decisional mechanisms.

Michèle Fabre-Thorpe, Simon J Thorpe, Nadège Bacon-Macé, 2007, Journal of experimental psychology. Human perception and performance.

Rapid Formation of Robust Auditory Memories: Insights from Noise

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

Memory for Repeated Images in Rapid-Serial-Visual-Presentation Streams of Thousands of Images

S. Thorpe, E. Thunell, 2019, Psychological science.

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..

Responses of striatal neurons in the behaving monkey. 1. Head of the caudate nucleus

S. Thorpe, E. Rolls, S. Maddison, 1983, Behavioural Brain Research.

Responses of striatal neurons in the behaving monkey. 3. Effects of iontophoretically applied dopamine on normal responsiveness

E. T. Rolls, D. I. Perrett, D. Perrett, 1984, Neuroscience.

Ultra-Rapid Sensory Responses in the Human Frontal Eye Field Region

Jean Régis, Simon J Thorpe, Catherine Liégeois-Chauvel, 2009, The Journal of Neuroscience.

Time Series Analysis of Surface Deformation Associated With Fluid Injection and Induced Seismicity in Timpson, Texas Using DInSAR Methods

S. Thorpe, 2017 .

Recording local field potential and neuronal activity with tetrodes in epileptic patients

S. Thorpe, L. Reddy, E. Barbeau, 2020, Journal of Neuroscience Methods.

Waking Up Buried Memories of Old TV Programs

S. Thorpe, N. Bacon-Macé, Christelle Larzabal, 2017, Front. Behav. Neurosci..

The influence of motivation on the responses of neurons in the posterior parietal association cortex

D. Perrett, S. Thorpe, E. Rolls, 1980, Behavioral and Brain Sciences.

FACE FEATURE LEARNING WITH SPIKE TIMING DEPENDENT PLASTICITY

S. Thorpe, T. Masquelier, 2006 .

Neuronal spiking activity highlights a gradient of epileptogenicity in human tuberous sclerosis lesions

S. Thorpe, L. Reddy, J. Pariente, 2019, Clinical Neurophysiology.

2021 Roadmap on Neuromorphic Computing and Engineering pdf

Gouhei Tanaka, Chiara Bartolozzi, Giacomo Indiveri, 2021, ArXiv.

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

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

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

Charles E. Davis, S. Thorpe, Jacob G. Martin, 2019, bioRxiv.

Rapid neural computation using single spikes and time-dependent EPSP modulation

S. Thorpe, P. Burgi, Pierre-Yves Burgi, 1996 .

The role of spatial frequency in ultra-rapid scene categorization

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

Unsupervised learning of repeating patterns using a novel STDP based algorithm

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

Word Processing Speed in Peripheral Vision

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

The fate of visual long term memories for images across weeks in adults and children

S. Thorpe, F. Mathy, A. Goujon, 2022, Scientific Reports.

Analyzing time-to-first-spike coding schemes: A theoretical approach

S. Thorpe, T. Masquelier, J. Gautrais, 2022, Frontiers in Neuroscience.

Fast visual processing and its implications

M. Fabre-Thorpe, S. J. Thorpe, S. Thorpe, 2002 .

Data for: Extremely long-term memory and familiarity after 12 years

S. Thorpe, E. Barbeau, Christelle Larzabal, 2017 .

Saliency maps and ultra-rapid choice saccade tasks

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

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

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

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

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

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

Simon J. Thorpe, S. Thorpe, 2011 .

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

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

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

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

Power spectrum cues underlying ultra-fast saccades towards faces

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

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

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

Category-dependent variations in visual processing time

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

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 .

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.

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 .

Categorisation of complex natural images in extreme peripheral vision

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

Covert object recognition at large visual eccentricity

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

Barlow's 1972 Paper

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

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

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

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

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

Characteristics of human voice processing

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

RIVAGe Feedback during Visual Integration : towards a Generic Architecture

Rachid Deriche, Pierre Kornprobst, Olivier Faugeras, 2004 .

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

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

Modulation of neural stereoscopic processing in primate area V1 by the viewing distance.

S Thorpe, Y Trotter, S Celebrini, 1992, Science.

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

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

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.

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.

Evidence for face selectivity in early vision

Maximilian Riesenhuber, Jacob G. Martin, Xiong Jiang, 2020, bioRxiv.

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.

Neuronal spiking activity highlights a gradient of epileptogenicity in human tuberous sclerosis lesions

S. Thorpe, L. Reddy, J. Pariente, 2019, Clinical Neurophysiology.

Low-Level Cues and Ultra-Fast Face Detection

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

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.

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.

NAVIG: augmented reality guidance system for the visually impaired

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

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

Bernard Oriola, Christophe Jouffrais, Philippe Truillet, 2012 .

Is it a Bird? Is it a Plane? Ultra-Rapid Visual Categorisation of Natural and Artifactual Objects

R VanRullen, S J Thorpe, S. Thorpe, 2001, Perception.

Learning complex cell invariance from natural videos: A plausibility proof

Thomas Serre, Tomaso Poggio, Timothée Masquelier, 2007 .

Zapping 500 faces in less than 100 seconds: Evidence for extremely fast and sustained continuous visual search

Charles E. Davis, Maximilian Riesenhuber, Simon J Thorpe, 2018, Scientific Reports.

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.

Activity of Neurones in the Neostriatum and Related Structures in the Alert Animal

S. Thorpe, E. Rolls, S. Maddison, 1979 .

NEURONAL RESPONSES IN THE STRIATUM OF THE BEHAVING MONKEY: IMPLICATIONS FOR UNDERSTANDING STRIATAL FUNCTION AND DYSFUNCTION

D. Perrett, S. Thorpe, E. Rolls, 1981 .

Object categorization in visual periphery is modulated by delayed foveal noise.

Simon J Thorpe, Saeed Reza Kheradpisheh, Farzad Ramezani, 2019, Journal of vision.

Detection of animals in natural images using far peripheral vision

H H Bülthoff, K R Gegenfurtner, S J Thorpe, 2001, The European journal of neuroscience.

Image Processing by the Human Visual System

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

Animal Detection Precedes Access to Scene Category

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

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.

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

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

Auditory gist: recognition of very short sounds from timbre cues.

Clara Suied, Daniel Pressnitzer, Nima Mesgarani, 2014, The Journal of the Acoustical Society of America.

Finding faces, animals, and vehicles in far peripheral vision.

Muriel Boucart, Quentin Lenoble, Justine Quettelart, 2016, Journal of vision.

Word processing speed in peripheral vision measured with a saccadic choice task

S. Thorpe, J. Grainger, F. Vitu, 2011, Vision Research.

Brain Areas Involved in Rapid Categorization of Natural Images: An Event-Related fMRI Study

Michèle Fabre-Thorpe, Jean-Philippe Ranjeva, Simon Thorpe, 2000, NeuroImage.

The Speed of Categorization in the Human Visual System

Simon J Thorpe, S. Thorpe, 2009, Neuron.

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..

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.

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..

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).

Spike-based strategies for rapid processing

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

SpikeNET: an event-driven simulation package for modelling large networks of spiking neurons

Simon J Thorpe, Arnaud Delorme, S. Thorpe, 2003, Network.

2022 roadmap on neuromorphic computing and engineering

Gouhei Tanaka, Mufti Mahmud, Chiara Bartolozzi, 2021, Neuromorph. Comput. Eng..

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

Simon J. Thorpe, S. Thorpe, 1990 .

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

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

Unsupervised Feature Learning With Winner-Takes-All Based STDP

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

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

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

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

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

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.

Microsaccades during high speed continuous visual search

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

Responses of neurons in area 7 of the parietal cortex to objects of different significance

D. Perrett, S. Thorpe, E. Rolls, 1979, Brain Research.

Oscillations, Phase-of-Firing Coding, and Spike Timing-Dependent Plasticity: An Efficient Learning Scheme

Gustavo Deco, Timothée Masquelier, Etienne Hugues, 2009, The Journal of Neuroscience.

Parallel processing in high-level categorization of natural images

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

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..

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).

Animals roll around the clock: the rotation invariance of ultrarapid visual processing.

Simon J Thorpe, Rudy Guyonneau, Holle Kirchner, 2006, Journal of vision.

Fast recognition of musical sounds based on timbre.

Clara Suied, Daniel Pressnitzer, Simon J Thorpe, 2012, The Journal of the Acoustical Society of America.

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

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

Rank order coding

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

Competitive STDP-Based Spike Pattern Learning

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

Zapping 500 faces in less than 100 seconds: Evidence for extremely fast and sustained continuous visual search

Charles E. Davis, S. Thorpe, M. Riesenhuber, 2018, Scientific Reports.

From face processing to face recognition: Comparing three different processing levels

M. Fabre-Thorpe, M. Ceccaldi, S. Thorpe, 2017, Cognition.

High Resolution Human Eye Tracking During Continuous Visual Search

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

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

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

Neural processing of stereopsis as a function of viewing distance in primate visual cortical area V1.

S Thorpe, Y Trotter, S Celebrini, 1993, Journal of neurophysiology.

NEURONAL PROCESSING RELATED TO SENSORY INPUTS, INTERMEDIATE LEARNING PROCESSES, AND THE INITIATION OF MOTOR RESPONSES

D. Perrett, S. Thorpe, E. Rolls, 1981 .

Local vs. Distributed Coding

Simon Thorpe, S. Thorpe, 1989 .

Ultra-Rapid Scene Categorization with a Wave of Spikes

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

Reverse engineering of the visual system using networks of spiking neurons

S. J. Thorpe, A. Delorme, R. Van Rullen, 2000, 2000 IEEE International Symposium on Circuits and Systems. Emerging Technologies for the 21st Century. Proceedings (IEEE Cat No.00CH36353).

Rank-based Hebbian learning in a multilayered neural network

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

Unsupervised Learning of Visual Features through Spike Timing Dependent Plasticity

S. Thorpe, T. Masquelier, 2007, PLoS Comput. Biol..

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

Sébastien M. Crouzet, S. Thorpe, M. Fabre-Thorpe, 2015, Journal of Cognitive Neuroscience.