Computational Neuroscience

PART OF IntechOpen Book Series: Artificial Intelligence

ISSN 2633-1403

Research Topic on Computational Neuroscience - always open for submissions, with an Annual Volume published each calendar year with a dedicated ISSN and ISBN.

Led by Topic Editor Dr. Magnus Johnsson and an international Editorial Board, all submissions are peer-reviewed and published immediately after acceptance.

Scope

Computational neuroscience focuses on biologically realistic abstractions and models validated and solved through computational simulations to understand principles for the development, structure, physiology, and ability of the nervous system. This topic is dedicated to biologically plausible descriptions and computational models - at various abstraction levels - of neurons and neural systems. This includes, but is not limited to: single-neuron modeling, sensory processing, motor control, memory, and synaptic plasticity, attention, identification, categorization, discrimination, learning, development, axonal patterning, guidance, neural architecture, behaviors, and dynamics of networks, cognition and the neuroscientific basis of consciousness. Particularly interesting are models of various types of more compound functions and abilities, various and more general fundamental principles (e.g., regarding architecture, organization, learning, development, etc.) found at various spatial and temporal levels.

keywords

Single-Neuron Modeling Sensory Processing Motor Control Memory and Synaptic Pasticity Attention Identification Categorization Discrimination Learning Development Axonal Patterning and Guidance Neural Architecture Behaviours and Dynamics of Networks Cognition and the Neuroscientific Basis of Consciousness

Publishing in IntechOpen Book Series