His scientific interests lie mostly in Neuroscience, Artificial intelligence, Visual processing, Communication and Pattern recognition. His Visual cortex, Stimulus and Sensory system study, which is part of a larger body of work in Neuroscience, is frequently linked to Population, bridging the gap between disciplines. Artificial neural network is the focus of his Artificial intelligence research.
The various areas that he examines in his Visual processing study include Vigilance and Information processing. His Information processing research is multidisciplinary, relying on both Speech recognition and Superordinate goals. His Communication research includes themes of Visual perception, Categorization and Computer vision.
His primary scientific interests are in Artificial intelligence, Computer vision, Pattern recognition, Neuroscience and Visual processing. His Artificial intelligence study frequently involves adjacent topics like Neuron. His Computer vision research focuses on Saccade and how it connects with Visual search.
His work on Visual cortex, Stimulus, Premovement neuronal activity and Caudate nucleus as part of general Neuroscience study is frequently connected to Population, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. The study incorporates disciplines such as Visual perception and Retina, Visual system in addition to Visual processing. Simon J. Thorpe combines subjects such as Perception, Communication, Speech recognition, Information processing and Human visual system model with his study of Categorization.
His primary areas of study are Artificial intelligence, Pattern recognition, Speech recognition, Stimulus and Computer vision. In most of his Artificial intelligence studies, his work intersects topics such as Neuron. His Pattern recognition study incorporates themes from Artificial neural network, MNIST database and Spiking neural network.
His Speech recognition study also includes
Simon J. Thorpe spends much of his time researching Artificial intelligence, Pattern recognition, MNIST database, Artificial neural network and Spiking neural network. Simon J. Thorpe combines topics linked to Computer vision with his work on Artificial intelligence. He focuses mostly in the field of Pattern recognition, narrowing it down to topics relating to Cognitive neuroscience of visual object recognition and, in certain cases, Deep neural networks, Convolutional neural network, Deep learning and Neuron.
His research in MNIST database intersects with topics in Unsupervised learning, Feature learning, Winner-take-all and Learning rule. His Spiking neural network study combines topics from a wide range of disciplines, such as Classifier, Backpropagation and Digit recognition. His Saccade study combines topics in areas such as Stimulus, Visual processing, Human visual system model, Visual search and Visual field.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
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.
Neural Networks (2001)
The Time Course of Visual Processing: From Early Perception to Decision-Making
Rufin Vanrullen;Simon J. Thorpe.
Journal of Cognitive Neuroscience (2001)
The Orbitofrontal Cortex: Neuronal Activity in the Behaving Monkey
S. J. Thorpe;E. T. Rolls;S. Maddison.
Experimental Brain Research (1983)
Ultra-rapid object detection with saccadic eye movements : Visual processing speed revisited
Holle Kirchner;Simon J. Thorpe.
Vision Research (2006)
Rate Coding Versus Temporal Order Coding: What the Retinal Ganglion Cells Tell the Visual Cortex
Rufin Van Rullen;Simon J. Thorpe.
Neural Computation (2001)
Spike times make sense.
Rufin VanRullen;Rudy Guyonneau;Simon J. Thorpe.
Trends in Neurosciences (2005)
Unsupervised Learning of Visual Features through Spike Timing Dependent Plasticity
Timothée Masquelier;Simon J Thorpe.
PLOS Computational Biology (2005)
Fast saccades toward faces: face detection in just 100 ms.
Sébastien M. Crouzet;Holle Kirchner;Simon J. Thorpe.
Journal of Vision (2010)
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.
Journal of Cognitive Neuroscience (2001)
Profile was last updated on December 6th, 2021.
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