Results 221 to 230 of about 10,988 (267)

Artificial sparse neuron dendrites for visual information inference. [PDF]

open access: yesSci Adv
Wang R   +10 more
europepmc   +1 more source

Neuromorphic photonic computing with an electro-optic analog memory. [PDF]

open access: yesNat Commun
Lam S   +7 more
europepmc   +1 more source

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.
openaire   +2 more sources

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).
openaire   +1 more source

NeuroMorph

2022
NeuroMorph: Charting The Cross-Disease Morphological Landscape Of Neurological And Psychiatric Disorders From Populations To ...
openaire   +1 more source

Neuromorphic sensory systems

Current Opinion in Neurobiology, 2010
Biology provides examples of efficient machines which greatly outperform conventional technology. Designers in neuromorphic engineering aim to construct electronic systems with the same efficient style of computation. This task requires a melding of novel engineering principles with knowledge gleaned from neuroscience.
Liu, S C, Delbruck, T
openaire   +3 more sources

Homogeneous neuromorphic hardware

Science, 2021
Bifunctional ferroelectric transistors enable collocation of memory and ...
Feng, Rao, Xutang, Tao
openaire   +2 more sources

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.
openaire   +2 more sources

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 ...
openaire   +1 more source

Home - About - Disclaimer - Privacy