Useful Computational Neuroscience Resources

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Detailed online Resume 

General useful links:

IEEE pdf express: to check if paper is in IEEE format


Google scholar

Google books

John Rylands Library

Very informative site: COMPUTATIONAL NEUROSCIENCE on the World Wide Web


Scientific American book of the brain : very useful overview

Also: Scientific American: "Memory: from Mind to Molecules"

A very interesting overview of neocortex function: Jeff Hawkins "On Intelligence" : its a very interesting read. 

These are general textbooks

Christopher M. Bishop: Neural Networks for Pattern Recognition: Oxford

Neural Networks: A Comprehensive Foundation, 2nd edition: Simon Haykin: Prentice Hall.

The next 2 books are very good for prospective researchers/ PhD students etc 

The seminal (original) papers of NN can be found at this book: Its probably best to search this in the library

Neurocomputing (1 and 2) - Foundations of Research, MIT Press Anderson and Rosenfield (editors): MIT Press

This is a sort of neural nets encyclopedia: It is best to search in the library:

Handbook of Brain Theory and Neural Networks, Michael A. Arbib:
MIT Press


Google scholar is the best to search:

Citeseer is the best place to look for references citations:

For all names below, search in google (or google scholar) for more
See citation indexes in Citeseer.

List of Books (sorted by publisher)
(most of these books have their own book sites, with teaching info)
Some of the books might be available online, through John Rylands
or otherwise
Search for series on the publishers websites
In searching in Amazon or Barnes and Noble, its quite good as they have got the categories too, so you can search one book and find related books
Barnes and Noble list for comp. neuroscience is quite good. also google it

See webpages of people who wrote the books... Reviews of neuroscience books

Lewis Publishers, Inc (CDROM included)
Computational Neuroscience: Realistic Modeling for
by Erik De Schutter, Robert C., Ph.D. Cannon, Erik De Schutter        

Chapman and Hall /CRC Press
Computational Neuroscience: A Comprehensive Approach
Jianfeng Feng

Computational Neuroscience: Trends in Research (1998,1999...)
James M. Bower (Editor)

Prentice Hall
An Introduction to Dynamical Systems, Continuous and Discrete
R. Clark Robinson

Springer Verlag
Neural Information Processing: Research and Development.
Studies in Fuzziness and Soft Computing Vol.152

Neurocontrol -- Learning Control Systems Inspired by Neuronal Architectures and Human Problem Solving Strategies,
Lecture Notes in Control and Information Sciences, vol. 172, Springer-Verlag, 1992.
H. Tolle and E. Ersu

Neural Networks for Modelling and Control of Dynamic Systems
by Magnus Norgaard, Ole Ravn, Niels K. Poulsen and Lars K. Hansen 
Modeling and Using Context
Third International and Interdisciplinary Conference, CONTEXT
2001, Dundee, UK, July 27-30, 2001, Proceedings

Brain Dynamics: Synchronization and Activity Patterns in Pulse-Coupled Neural Nets with Delays and Noise
Hermann Haken, H. Haken

Computational Models for Neuroscience: Human Cortical
Information Processing
Robert Hecht-Nielsen, Thomas McKenna (Editor)

Emergent Neural Computational Architectures based on
Stefan Wermter, Jim Austin, David Willshaw available at  

Sequence Learning:  Paradigms, Algorithms, and Applications
edited by: Ron Sun and Lee Giles

From Computer to Brain
by William W. Lytton
Also very introductory

Addison Wesley
Analog VLSI and Neural Systems, by Carver Mead
Seminal book

Taylor and Francis
Cognitive Neuroscience
SarahBanich Marie T. Pink, Marie T. Banich, Neil Cohen (Editor)

MIT Press / Bradford Books

The MIT Encyclopedia of the Cognitive Sciences
Robert Anton Wilson (Editor), Frank Keil (Editor)

Neurocomputing (1 and 2) - Foundations of Research, MIT Press Anderson and Rosenfield (editors)
For all the seminal papers related to NN

Gateway to Memory: An Introduction to Neural Network Modeling
of the Hippocampus and Learning (Issues in Clinical and Cognitive Neuropsychology)
by Mark A. Gluck, Catherine E. Myers 

Computational Explorations in Cognitive Neuroscience:
Understanding the Mind by Simulating the Brain
Randall C. O'Reilly and Yuko Munakata

Principles of Neural Science
by Eric R. Kandel, James H. Schwartz, Thomas M. Jessell
Comprehensive leading book on neuroscience

Frontiers in Cognitive Neuroscience
Edited by Stephen M. Kosslyn and Richard A. Andersen

Sparse Distributed memory: Pentti Kanerva
Seminal book

Pulsed Neural Networks, by Wolfgang Maass and Christopher M. Bishop, MIT Press
Very basic book about pulsed NN: covers whole area issues

Theoretical Neuroscience by Dayan and Abbott (MIT Press)
A comprehensive text, provides a thorough treatment of major modeling concepts in computational neuroscience.
Also list of exercises etc

Computational; Neuroscience: Schwartz (editor)
Is rather old (published 1990)

Neurophilosophy: Toward a Unified Science of the Mind-Brain
Patricia Smith Churchland, Patricia S. Churchland
Neural Codes and Distributed Representations: Foundations of
Neural Computation
Edited by Laurence Abbott and Terrence J. Sejnowski

Computational Neuroscience Series of MIT Press (there are a lot
more: see page for details)

Spikes: Exploring the Neural Code
Fred Rieke, David Warland, Rob de Ruyter van Steveninck and
William Bialek
Very interesting reading. How is the neural code formed with

Neural Engineering: Computation, Representation, and Dynamics in Neurobiological Systems
Chris Eliasmith and Charles H. Anderson
Very good and novel approach towards engineering systems with neurons
Also nice course with exercises

Neural Codes and Distributed Representations: Foundations of
Neural Computation
Laurence Abbott and Terrence J. Sejnowski (Eds.)

Methods in Neuronal Modeling - 2nd Edition From Ions to
Christof Koch and Idan Segev (Eds.)
More about low level models

The Computational Brain
Patricia Churchland and Terrence J. Sejnowski

Oxford University Press
Working Memory. Alan Baddeley

NeuroDynamix: Computer Models for Neurophysiology
W. Otto Friesen and Jonathon A. Friesen

Computational Neuroscience of Vision
Edmund T. Rolls, Gustavo Deco

Biophysics of Computation: Information Processing in Single
Christof Koch

Spikes, Decisions, and Actions - The Dynamical Foundations of Neuroscience: by Hugh Wilson
Great for foundations of dynamical systems built of spiking

Neural Networks and Brain Function
Edmund T. Rolls and Alessandro Treves.
Very good for how different parts of the brain work, and can be modelled by Neural Networks

Fundamentals of Computational Neuroscience. Thomas P.
Excellent introductory text. Well recommended to all

Cambridge University Press
Introduction to Theoretical Neurobiology Vol 1/2
Henry C Tuckwell

Modeling Brain Function : The World of Attractor Neural Networks
by Daniel J. Amit

Corticonics : Neural Circuits of the Cerebral Cortex
by Moshe Abeles

Spiking Neuron Models: Single Neurons, Populations, Plasticity
by Wulfram Gerstner and Werner M. Kistler
Very detailed and comprehensive indeed. Must read. Available at
Nature Neuroscience Computational Supplement 2000 available at
VV useful for papers to the field

MacMillan Publishing Company
Neural networks: A comprehensive foundation
Simon Haykin
Very popular comprehensive introductory book to NN

List of Researchers (see students pages / research group pages
of top researchers)
See editor list of top journals
Klaus Schulten
Daniel Amit
Arun Jagota
Edmund Rolls
Terrence Sejnowski
Peter Andras
Timothy Hoiruchy
Michale Fee (Bell labs)
Jeffrey Hinton
David willshaw
Jim Austin
Igor Alexander
Jurgen Smidhurber
Simon Thorpe
Bard Ermentrout
Christof Koch
DeLiang Wang
Thomas Wennekers great page for bookmarks


List of journals

Advances in NIPS (proceedings) 
Annual Reviews Neuroscience
Complex systems
Neural Network Review

Journals of other fields
Neural Networks
International Journal of Neurocomputing
International Journal of Neural Systems
Connection Science: Journal of Neural Computing, Artificial Intelligence and Cognitive Research
International Journal of Neural Networks
Neural Computing and Applications              
JNNS Newsletter (Newsletter of the Japan Neural Network Society)
Neural Processing Letters
Neural Computation: Top in the field (see Jurgen smidburber's
Neural information processing: letters and reviews: Only 6 month
Network: computation in neural systems: David Willshaw, editor
(also simon thorpe etc)
Nature (Top but very wide scope)
Nature reviews neuroscience
Scientific American Mind 
Science (wide scope)
Journal of Neurophysiology
Journal of Neural Engineering
Biological Cybernetics
Journal of Machine Learning Research          
Journal of Machine Learning
Journal of Cognitive Neuroscience
Journal of Neuroscience
Journal of Computational Neuroscience
The Behavioral and Brain Sciences Publisher: Cambridge University Press

Neural Computing Surveys
Published very RARELY in electronic format available on web

Neural Processing Letters
Letters are shorter aticles than papers, about 8-10 pages,
describing recent work
Nature reviews neuroscience

IEEE Transactions in NN
One of the Top for NN

See also IEEE special issues esp. Special Issue on "Temporal
Coding for Neural Information Processing"

Neural computation
THE top for all NN,     Terrence Sejnowski - Editor in Chief. 

List of great institutes/ schools/ departments in the field

SantaFe: dynamical systems
Cold Spring Harbour Labs
HUJI Israel
Search neuroscience resources in UK/ Europe: esp. EMERNET is recommended

List of annual conferences
NIPS (Top)
WIRN (Italian conference) organised by SIREN Italy
ESANN (European conf: good one)
CNS (Neuroscientists: real biological modelling)
BICS (eg in stirling)
Workshop on Mathematical neuroscience (eg in Edinburgh)
Neural coding
IEEE International Symposium on Neural Networks
IJCNN (IEEE NNS flagship conference)
ICANN (European NN society conference)
ICPR (Pattern reco, but apps in memory)
IEEE conference calendar
WSEAS conferences WICNN
World Enformatika Conference, WEC, comprising of AINN
Neural Engg conferences, A-Life conferences, Robotics, cognition
ICAPR: for pattern recognition
SFN: society for neuroscience (top in neuroscience)
Annual Computational Neuroscience Conference
Lots of machine learning and neuroscience conferences
Conference CFP lists
Most relevant list of journals:

List of thesis and where to get them
See John Rylands: computer science guide section and ebook
resources etc

List of emails/ mailing lists/ discussion groups/ newsgroups/ usenet
comp.theory.dynamic-sys :Neuroinformatics site : Neuroinformatics Portal Pilot
IEEE conference calendar
Discussions in ORKUT etc
WWW virtual library: neuroscience COMPUTATIONAL NEUROSCIENCE on the World Wide Web

List of societies (usually some conferences are organised
by societies)
CNS: Computational Neuroscience Society
IEEE Computational intelligence society IEEE-NNS

Japan NN Society
SFN: society for neuroscience: about 36000 members
EMERNET Project finished in 2001: yet site is very useful
N Euro Net
Federation of European Neuroscience societies
CNS/ neuroinformatics in Europe
Cognitive Neuroscience Society
Ireland AI societies
BNA and BCS and ACM
Natural computing applications forum UK:
International Neural networks society
The Association of Neuroscience Departments and Programs

There are a number of such networks and societies in various fields, whether country based (UK wide, Japan, USA, Italy etc) or European
or World level. A google search is recommended for more links.

List of simulators
MATLAB toolbox

List of Workshops
Telluride Neuromorphic Engineering workshop
Search google for many 100's more

Seminar series/ Journal clubs
UCL (Gatsby computational neuroscience unit)
Search in google for more comp. neuro. JC's and read those journal articles yourself
Links to study material for computational neuroscience or neural engineering courses
Search in google for exercises, syllabus, textbooks etc
Japanese list of NN journals
Useful site about journals etc
Some useful tutorials:
Search in google

List of fields
Associative memory
Nonlinear Dynamical systems
Computational neuroscience / Neuroscience/ Neurobiology
Brain Theory
Cognitive neuroscience
Neural engineering
Neural networks
Neurophysiology / Physiology
Neural modelling/ modelling
Cognitive Science
Artificial Intelligence
A Life
Brain Plasticity
Information Theory
Biological Cybernetics+Biological: Command not found.
Time Series Prediction
Complex systems

General useful links
Grand Challenge proposal mailing list: