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NeuroMorph

2022
NeuroMorph: Charting The Cross-Disease Morphological Landscape Of Neurological And Psychiatric Disorders From Populations To ...
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A neuromorph's prospectus

Computing in Science & Engineering, 2017
As transistors shrink to nanoscale dimensions, trapped electrons--blocking "lanes" of electron traffic--are making it difficult for digital computers to work. In stark contrast, the brain works fine with single-lane nanoscale devices that are intermittently blocked (ion channels).
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Neuromorphic Photonic Networks

Optical Fiber Communication Conference (OFC) 2021, 2021
Neuromorphic photonics exploit optical device physics for neuron models, and optical interconnects for distributed, parallel, and analog processing for high-bandwidth, low-latency and low switching energy applications in artificial intelligence and neuromorphic computing.
Bhavin J. Shastri   +8 more
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Memristor in neuromorphic computing

2012 IEEE International SOC Conference, 2012
As technology scaling down becomes more and more difficult, the traditional von Neumann computer architecture cannot satisfy people's unlimited demand on high performance computation. Consequently, the neuromorphic hardware systems providing the capabilities of biological perception and information processing at compact and energy-efficient platform ...
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Neuromorphic is dead. Long live neuromorphic.

Neuron
In this NeuroView, Giacomo Indiveri discusses the origins and evolution of neuromorphic engineering, reflects on recent shifts toward digital and AI-centric approaches, and advocates for a revival of the field's original principles, emphasizing analog, brain-inspired systems and the importance of fundamental neuroscience for future progress.
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Neuromorphic cochlea implants

2000 IEEE International Symposium on Circuits and Systems. Emerging Technologies for the 21st Century. Proceedings (IEEE Cat No.00CH36353), 2002
A novel approach to signal processing in cochlea implants using bio-inspired models is proposed. The novel architecture uses spike-based signal processing eliminating the need for DSPs. The programmability is achieved using redundancy with digital control avoiding ADCs altogether.
Tor Sverre Lande   +2 more
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Neuromorphic semiconductor memory

2015 International 3D Systems Integration Conference (3DIC), 2015
Microprocessors designed with von Neumann architecture are hitting the power and performance limits as silicon CMOS continues to scale the critical dimensions of the circuit components towards single digit nanometer size limit. Multi-core processor, parallel processing without increasing operating frequency of the cores, was introduced in the early ...
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Recent Progress on Emerging Transistor‐Based Neuromorphic Devices

Advanced Intelligent Systems, 2021
Qing Wan, Rui Liu
exaly  

Neuromorphic Systems

2009
Indiveri, G   +3 more
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