R
Richard Naud
Researcher at University of Ottawa
Publications - 90
Citations - 3863
Richard Naud is an academic researcher from University of Ottawa. The author has contributed to research in topics: Population & Computer science. The author has an hindex of 21, co-authored 77 publications receiving 2776 citations. Previous affiliations of Richard Naud include MIND Institute & École Polytechnique Fédérale de Lausanne.
Papers
More filters
Book
Neuronal Dynamics: From Single Neurons to Networks and Models of Cognition
TL;DR: This textbook for advanced undergraduate and beginning graduate students provides a thorough and up-to-date introduction to the fields of computational and theoretical neuroscience.
Journal ArticleDOI
A deep learning framework for neuroscience
Blake A. Richards,Timothy P. Lillicrap,Philippe Beaudoin,Yoshua Bengio,Yoshua Bengio,Rafal Bogacz,Amelia J. Christensen,Claudia Clopath,Rui Ponte Costa,Rui Ponte Costa,Archy O. de Berker,Surya Ganguli,Surya Ganguli,Colleen J Gillon,Danijar Hafner,Danijar Hafner,Adam Kepecs,Nikolaus Kriegeskorte,Peter E. Latham,Grace W. Lindsay,Kenneth D. Miller,Richard Naud,Christopher C. Pack,Panayiota Poirazi,Pieter R. Roelfsema,João Sacramento,Andrew M. Saxe,Benjamin Scellier,Anna C. Schapiro,Walter Senn,Greg Wayne,Daniel L. K. Yamins,Friedemann Zenke,Friedemann Zenke,Joel Zylberberg,Joel Zylberberg,Denis Therien,Konrad P. Kording,Konrad P. Kording +38 more
TL;DR: It is argued that a deep network is best understood in terms of components used to design it—objective functions, architecture and learning rules—rather than unit-by-unit computation.
Journal ArticleDOI
Firing patterns in the adaptive exponential integrate-and-fire model
TL;DR: The versatility of a simple two-equation model: the adaptive exponential integrate-and-fire neuron is explored, showing that this model generates multiple firing patterns depending on the choice of parameter values, and a phase diagram describing the transition from one firing type to another is presented.
Journal ArticleDOI
How Good Are Neuron Models
Wulfram Gerstner,Richard Naud +1 more
TL;DR: A recent competition encouraged modelers to predict neuronal activity and launched an international competition that allowed a quantitative comparison of neuron models, resulting in a comparison of simple “integrate-and-fire” models.
Journal ArticleDOI
Temporal whitening by power-law adaptation in neocortical neurons
TL;DR: Findings suggest that, in the cortex, SFA causes temporal decorrelation of output spikes (temporal whitening), an energy-efficient coding procedure that, at high signal-to-noise ratio, improves the information transfer.