Cultural Attachment: From Behavior to Computational Neuroscience

Introduction to Computational Neuroscience

An Introduction to Computational Neuroscience

DISCLAIMERS: These notes are incomplete. In addition to gaps in the text, some figures are used without proper citation (many were taken from Dayan and Abbott, 2000), and there are many gaps in the bibliography. Hopefully at some point I will have the time and impetus to come back to this material. Right now, use as is.-TWT

Computational Neuroscience

Introduction to Computational Neuroscience 1 Biologically Plausible Neuronal Networks 2 Summary of the Architecture and Operation of Autoassociation or Attractor Networks 2 Summary of the Architecture and Operation of Pattern Association Networks 3 Summary of the Architecture and Operation of Competitive Networks 4 Coding 4 Definitions of Types of Representation 5 Sparse Distributed Graded Firi...

Computational neuroscience, from multiple levels to multi-level.

Despite the long and fruitful history of neuroscience, a global, multi-level description of cardinal brain functions is still far from reach. Using analytical or numerical approaches, Computational Neuroscience aims at the emergence of such common principles by using concepts from Dynamical Systems and Information Theory. The aim of this Special Issue of the Journal of Physiology (Paris) is to ...

Encyclopedia of Cognitive Sciences Computational Neuroscience: From Biology to Cognition