Neuromorphic engineering

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Neuromorphic engineering, also known as neuromorphic computing, is the use of very-large-scale integration systems containing electronic analog circuits to mimic neuro-biological architectures present in the nervous system.
Neuromorphic engineering
Definition
Neuromorphic engineering, also known as neuromorphic computing, is the use of very-large-scale integration systems containing electronic analog circuits to mimic neuro-biological architectures present in the nervous system.
Neuromorphic engineering
Neuromorphic engineering
Neuromorphic engineering, also known as neuromorphic computing, is the use of very-large-scale integration systems containing electronic analog circuits to mimic neuro-biological architectures present in the nervous system.

Mentions

Guided by brain-like ‘spiking’ computational frameworks, neuromorphic computing—brain-inspired computing for machine intelligence—promises to realize artificial intelligence while reducing the energy requirements of computing platforms. This interdisciplinary field began with the implementation of silicon circuits for biological neural routines, but has evolved to encompass the hardware implementation of algorithms with spike-based encoding and event-driven representations. Here we provide an overview of the developments in neuromorphic computing for both algorithms and hardware and highlight the fundamentals of learning and hardware frameworks. We discuss the main challenges and the future prospects of neuromorphic computing, with emphasis on algorithm–hardware codesign.

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