Results 271 to 280 of about 24,472 (312)

Homogeneous neuromorphic hardware

Science, 2021
Bifunctional ferroelectric transistors enable collocation of memory and ...
Feng, Rao, Xutang, Tao
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Neuromorphic Microchips

Scientific American, 2005
Compact, efficient electronics based on the brain's neural system could yield implantable silicon retinas to restore vision, as well as robotic eyes and other smart sensors.
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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, Simon Bilodeau, Bicky A. Marquez, Alexander N. Tait, Thomas Ferreira de Lima, Chaoran Huang 0002, Lukas Chrostowski, Sudip Shekhar, Paul R. Prucnal   +8 more
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Neuromorphic nanoelectronic materials

Nature Nanotechnology, 2020
Memristive and nanoionic devices have recently emerged as leading candidates for neuromorphic computing architectures. While top-down fabrication based on conventional bulk materials has enabled many early neuromorphic devices and circuits, bottom-up approaches based on low-dimensional nanomaterials have shown novel device functionality that often ...
Vinod K. Sangwan, Mark C. Hersam
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Neuromorphic analog communication

Proceedings of International Conference on Neural Networks (ICNN'96), 2002
A recurring topic concerning neural nets implemented in VLSI is chip to chip communication and chip to computer communication. One common approach is the asynchronous event protocol, where an asynchronous digital bus is transferring "neural spikes" as events.
Jan-Tore Marienborg, Tor Sverre Lande, Mats Høvin, Ånen Abusland   +3 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 computing at scale

Nature
Neuromorphic computing is a brain-inspired approach to hardware and algorithm design that efficiently realizes artificial neural networks. Neuromorphic designers apply the principles of biointelligence discovered by neuroscientists to design efficient computational systems, often for applications with size, weight and power constraints.
Dhireesha Kudithipudi, Catherine Schuman, Craig M. Vineyard, Tej Pandit, Cory Merkel, Rajkumar Kubendran, James B. Aimone, Garrick Orchard, Christian Mayr, Ryad Benosman, Joe Hays, Cliff Young, Chiara Bartolozzi, Amitava Majumdar, Suma George Cardwell, Melika Payvand, Sonia Buckley, Shruti Kulkarni, Hector A. Gonzalez, Gert Cauwenberghs, Chetan Singh Thakur, Anand Subramoney, Steve Furber   +22 more
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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, Jan-Tore Marienborg, Yngvar Berg   +2 more
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