A hodge-podge of neuroscience links
- At Concordia
- In Montreal
- Canada Research Chairs elsewhere
- At University of Toronto
-
Ian Brown
, CRC1 in Neurology of Stress
-
John C. Roder
,
CRC1 in Learning and Memory
-
Barry J. Sessle
,
CRC1 in Dental and Craniofacial Pain
-
Elise F. Stanley
,
CRC1 in Brain and Behaviour
-
Min Zhuo
,
CRC1 in Neurobiology of Pain and Cognition
-
Karen D. Davis
,
CRC2 in Brain and Behaviour
- Beverley Orser
,
CRC2 in Anaesthesia
- Bryan A. Stewart
,
CRC2 in Molecular Genetics of Neural Communication
- Shuzo Sugita
,
CRC2 in Intercellular Communication
- Lu-Yang Wang
,
CRC2 in Brain and Behaviour
- At the University of British Columbia
- At University of Alberta
- Elsewhere
-
Dale R. Corbett
,
CRC1 in Stroke and Neuroplasticity
Memorial University of Newfoundland
- Marc Del Bigio
,
CRC1 in Developmental Neuropathology
The University of Manitoba
-
Gerald W. Zamponi
,
CRC1 in Molecular Neurobiology
The University of Calgary
-
John D. Crawford
,
CRC2 in Visual-Motor Neuroscience
York University
- Michael Dorris
,
CRC2 in Neural Control of Decision Making
Queen's University
613 533 3125
(212) 998-3904
mike@cns.nyu.edu
- Serge Rivest
,
CRC2 in Neuroimmunology
Université Laval
- Other researchers
- Other organizations
- Conferences
- Pages providing pointers
- Books
- Biophysics of Computation: Information Processing in Single
Neurons (Computational Neuroscience)
by Christof Koch
- Spikes: Exploring the Neural Code (Computational Neuroscience) by Fred
Rieke, David Warland, Rob de Ruyter van Steveninck, William Bialek
- Spiking Neuron Models by Wulfram Gerstner, Werner
M. Kistler
-
Pulsed Neural Networks
by Wolfgang Maass and Christopher M. Bishop (eds.)
- Theoretical
Neuroscience: Computational and Mathematical Modeling of Neural
Systems
by Peter Dayan, L. F. Abbott
- Spikes, Decisions, and Actions: The Dynamical Foundations of Neuroscience
by Hugh R. Wilson
- The Computational Brain (Computational Neuroscience)
by Patricia
Churchland, Terrence J. Sejnowski
- Fundamentals of Computational Neuroscience
by Thomas P. Trappenberg
- Computational Models for Neuroscience: Human Cortical Information Processing
by Thomas McKenna, Robert Hecht-Nielsen
- Parallel Distributed Processing: Explorations in the
Microstructure of Cognition by David E. Rumelhart and James L. McClelland
- Bruce
MacLennan's reading list
- L.O. Chua, CNN: A paradigm
for complexity
- W.-K. Chen, The
Circuits and Filters Handbook, Second Edition
- C. Koch, Biophysics
of Computation: Information Processing in Single Neurons
- J. Feldman and R. Rojas, Neural Networks: A Systematic Introduction
- by P. Arhem, C. Blomberg, and H. Liljenstrom, Disorder
Versus Order in Brain Function: Essays in Theoretical Neurobiology
- P. Cisek, T. Drew, J. Kalaska, Computational
Neuroscience: Theoretical Insights into Brain Function
- P. Dayan and L.F. Abbott, Theoretical Neuroscience: Computational and Mathematical Modeling of Neural
Systems
- H. Kolb, H. Ripps, and S. Wu, Progress
in Brain Research, Volume 131: Challenges in Retinal Biology: A Tribute to John E. Dowling
- J.E. Dowling, Neurons and Networks: An Introduction to Behavioral Neuroscience, Second
Edition
- J.E. Dowling, Creating
Mind: How the Brain Works
- J.E. Dowling, The
Retina: An Approachable Part of the Brain
- Papers
- Les
neurosciences au Québec
- J. Y. Lettvin, H. R. Maturana W. S. McCulloch, and W. H. Pitts,
What the frog's eye tells the frog's brain
- M. Meister and M.J. Berry II, The
Neural Code of the Retina
- C.-J. Jeon, E. Strettoi, and R.H. Masland, The Major
Cell Populations of the Mouse Retina
- E.C. Lai, Notch
signaling: control of cell communication and cell fate
- D.K. Warland, P. Reinagel, and M. Meister, Decoding Visual
Information From a Population of Retinal Ganglion Cells
- F. Werblin, T. Roska, and L.O. Chua, The
analogic cellular neural network as a bionic eye
- C.H. Wolters, R. Beckmann, et al.
Stable focal inverse source localization using combinatorial optimization techniques combined with regularization methods
- L. Gavit, S. Baillet, JF Mangin, J Pescatore, L Garnero
A multiresolution framework to MEG/EEG source imaging
- Sylvain Baillet, Line Garnero, Gildas Marin, Jean-Paul Hugonin
Combined MEG and EEG Source Imaging by Minimization of Mutual Information
- Shim Design Using a Linear Programming Algorithm
- L.D. Iasemidis, P. Pardalos, J.C. Sackellares & D.S. Shiau,
"Quadratic binary programming and dynamical system approach to determine the predictability of epileptic seizures",
J. Combinatorial Optimization, 5:9-26, 2001.
- Neural networks
To the top of this page
Back to
Vašek Chvátal's home page