Towards novel neuroscience-inspired computing

S Wermter; J Austin; D Willshaw; M Elshaw

doi:10.1007/3-540-44597-8_1

Towards novel neuroscience-inspired computing

S Wermter, J Austin, D Willshaw, M Elshaw

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

Present approaches for computing do not have the performance, flexibility and reliability of neural information processing systems. In order to overcome this, conventional computing systems could benefit from various characteristics of the brain such as modular organisation, robustness, timing and synchronisation, and learning and memory storage in the central nervous system. This overview incorporates some of the key research issues in the field of biologically inspired computing systems.

Original language	English
Title of host publication	EMERGENT NEURAL COMPUTATIONAL ARCHITECTURES BASED ON NEUROSCIENCE: TOWARDS NEUROSCIENCE-INSPIRED COMPUTING
Place of Publication	BERLIN
Publisher	Springer
Pages	119
Number of pages	19
DOIs	https://doi.org/10.1007/3-540-44597-8_1
Publication status	Published - 2001

Keywords

ASSOCIATIVE MEMORY
CEREBRAL-CORTEX
RECOVERY
HIPPOCAMPUS
LANGUAGE
APHASIA
MODELS

Access to Document

10.1007/3-540-44597-8_1

Cite this

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KW - RECOVERY

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KW - APHASIA

KW - MODELS

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