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
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