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Neural systems engineering.

Steve Furber¹, Steve Temple

¹School of Computer Science, University of Manchester, Oxford Road, Manchester M13 9PL, UK. steve.furber@manchester.ac.uk

Journal of the Royal Society, Interface

|January 26, 2007

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Researchers are exploring brain emulation for advanced computing. While brain knowledge is incomplete, technological advancements suggest brain-computer emulation may be achievable within a decade, bridging the gap between humans and machines.

Area of Science:

Neuroscience
Computer Engineering
Cognitive Science

Background:

The long-standing goal of creating electronic computers that mimic biological brain operations continues to drive research.
Current understanding of brain operational principles is incomplete, necessitating assumptions in brain emulation attempts.
The immense scale and complexity of the human brain present significant challenges for full-scale neuronal modeling.

Purpose of the Study:

To explore the feasibility of emulating brain capabilities in electronic computers.
To investigate the potential for bridging the gap between human intelligence and machine capabilities through emulation.
To consider the interdisciplinary contributions, including computer engineering, to understanding the brain and mind.

Main Methods:

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Reviewing the current state of knowledge in neuroscience and computational power.
Extrapolating technological trends, such as Moore's Law, to estimate future computational capacity.
Identifying knowledge gaps in brain function that require further research for accurate emulation.

Main Results:

Significant progress in computing power, driven by Moore's Law, is reducing the gap in computational resources required for brain emulation.
Estimates suggest that machines capable of emulating the brain may be available within the next decade.
The complexity of the human brain still poses a major hurdle to complete neuronal-level modeling.

Conclusions:

Emulating the brain remains a complex scientific frontier, requiring significant interdisciplinary collaboration.
Advancements in computing technology are making brain emulation increasingly plausible.
Further research is needed to fill knowledge gaps in brain operational principles for successful emulation.