His main research concerns Neuroscience, Artificial intelligence, Facial recognition system, Computer vision and Patch clamp. Many of his research projects under Neuroscience are closely connected to Chemistry, Constant current and Subthreshold oscillations with Chemistry, Constant current and Subthreshold oscillations, tying the diverse disciplines of science together. His Artificial intelligence study incorporates themes from Encoding and Perspective.
His Facial recognition system research includes themes of Matching and Pattern recognition. His biological study spans a wide range of topics, including FERET database and Small set. Jean Marc Fellous works mostly in the field of Patch clamp, limiting it down to concerns involving Membrane potential and, occasionally, Inhibitory postsynaptic potential, Neocortex, Synaptic noise and Nerve net.
His primary areas of investigation include Neuroscience, Artificial intelligence, Inhibitory postsynaptic potential, Hippocampus and Neuron. In the field of Neuroscience, his study on Excitatory postsynaptic potential, Stimulus, Visual cortex and Prefrontal cortex overlaps with subjects such as Chemistry. His Artificial intelligence research includes elements of Machine learning, Spatial memory, Computer vision and Pattern recognition.
His specific area of interest is Computer vision, where Jean Marc Fellous studies Facial recognition system. Jean Marc Fellous has included themes like Cerebral cortex, AMPA receptor and Patch clamp in his Inhibitory postsynaptic potential study. Jean Marc Fellous has researched Neuron in several fields, including Biological system and Interneuron.
Jean Marc Fellous mainly investigates Artificial intelligence, Spatial memory, Neuroscience, Hippocampus and Hippocampal formation. His study connects Pattern recognition and Artificial intelligence. His research on Spatial memory also deals with topics like
When carried out as part of a general Neuroscience research project, his work on Prefrontal cortex, Electrophysiology and Neuroplasticity is frequently linked to work in Population and Dementia, therefore connecting diverse disciplines of study. His Hippocampus study integrates concerns from other disciplines, such as Computational neuroscience, Context, Spatial cognition and Mnemonic. His Hippocampal formation course of study focuses on Dorsum and Representation.
Jean Marc Fellous focuses on Hippocampus, Neuroscience, Set, Context and Field. His Hippocampus research is multidisciplinary, incorporating perspectives in Hippocampal formation and Mnemonic. In his study, which falls under the umbrella issue of Hippocampal formation, Memory consolidation is strongly linked to Neural substrate.
His studies deal with areas such as Oxytocin, Nerve net and Inhibitory postsynaptic potential, Excitatory postsynaptic potential as well as Memory consolidation. Jean Marc Fellous interconnects Developmental psychology, Clinical psychology and Moderation in the investigation of issues within Context. Brain function, Artificial intelligence, Basic research, Neurostimulation and Intervention protocols are fields of study that intersect with his Field research.
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.
Face recognition by elastic bunch graph matching
L. Wiskott;J.-M. Fellous;N. Kuiger;C. von der Malsburg.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1997)
Face recognition by elastic bunch graph matching
L. Wiskott;J.-M. Fellous;N. Kruger;C. von der Malsburg.
international conference on image processing (1997)
Face recognition by elastic bunch graph matching
Laurenz Wiskott;Jean-Marc Fellous;Norbert Krüger;Christoph von der Malsburg.
Intelligent biometric techniques in fingerprint and face recognition (1999)
Fluctuating synaptic conductances recreate in vivo-like activity in neocortical neurons.
Alain Destexhe;Michael Rudolph;J.-M. Fellous;Terrence J. Sejnowski;Terrence J. Sejnowski.
Neuroscience (2001)
A role for NMDA-receptor channels in working memory
John E. Lisman;Jean Marc Fellous;Xiao Jing Wang.
Nature Neuroscience (1998)
Regulation of spike timing in visual cortical circuits
Paul Tiesinga;Jean Marc Fellous;Terrence J. Sejnowski;Terrence J. Sejnowski.
Nature Reviews Neuroscience (2008)
A new correlation-based measure of spike timing reliability
Susanne Schreiber;Jean-Marc Fellous;D. Whitmer;Paul H. E. Tiesinga;Paul H. E. Tiesinga.
Neurocomputing (2003)
Cholinergic induction of oscillations in the hippocampal slice in the slow (0.5-2 Hz), theta (5-12 Hz), and gamma (35-70 Hz) bands.
Jean Marc Fellous;Terrence J. Sejnowski;Terrence J. Sejnowski.
Hippocampus (2000)
Emotions: from brain to robot
Michael A. Arbib;Jean Marc Fellous.
Trends in Cognitive Sciences (2004)
Synaptic background noise controls the input/output characteristics of single cells in an in vitro model of in vivo activity.
J. M. Fellous;Michael Rudolph;Alain Destexhe;Terrence J. Sejnowski;Terrence J. Sejnowski.
Neuroscience (2003)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:
Salk Institute for Biological Studies
Radboud University Nijmegen
University of Southern California
University of California, Irvine
Ruhr University Bochum
New York University
University of Southern Denmark
Frankfurt Institute for Advanced Studies
Wake Forest University
Brandeis University
Pennsylvania State University
University of Washington
Vrije Universiteit Amsterdam
Ghent University
Wageningen University & Research
Walter and Eliza Hall Institute of Medical Research
Kobe University
Bielefeld University
Rutgers, The State University of New Jersey
National Central University
University of Aveiro
University of Idaho
Colorado State University
University of Bonn
Brigham and Women's Hospital
Haukeland University Hospital