An Introduction to Computational Neuroscience
by Todd Troyer
Publisher: University of Texas at San Antonio 2005
Number of pages: 181
Description:
These notes have three main objectives: (i) to present the major concepts in the field of computational neuroscience, (ii) to present the basic mathematics that underlies these concepts, and (iii) to give the reader some idea of common approaches taken by computational neuroscientists when combining (i) and (ii).
Download or read it online for free here:
Download link
(2.5MB, PDF)
Similar books
Applied Artificial Neural Networksby Christian Dawson - MDPI AG
This Special Issue focuses on the application of neural networks to a diverse range of fields and problems. It collates contributions concerning neural network applications in areas such as engineering, hydrology and medicine.
(7059 views)
Programming Neural Networks with Encog3 in Javaby Jeff Heaton - Heaton Research
The book is an introduction to Neural Networks and Artificial Intelligence. Neural network architectures, such as the feedforward, Hopfield, and self-organizing map architectures are discussed. Training techniques are also introduced.
(17104 views)
Practical Artificial Intelligence Programming in Javaby Mark Watson - Lulu.com
The book uses the author's libraries and the best of open source software to introduce AI (Artificial Intelligence) technologies like neural networks, genetic algorithms, expert systems, machine learning, and NLP (natural language processing).
(22878 views)
Encyclopedia of Computational Neuroscienceby Eugene M. Izhikevich, at al. - Scholarpedia
Neuroscience, Electrophysiology, Neuron, Network Dynamics, Brain Models, Synapse, Memory, Conditioning, Consciousness, Vision, Olfaction, Neuroimaging, Dynamical Systems, Oscillators, Synchronization, Pattern Formation, Chaos, Bifurcations, etc.
(15262 views)