Results 31 to 40 of about 1,365,527 (250)

Neuromorphic vision chips

open access: yesIEEE Spectrum, 1996
Analog circuits based on resistive networks emulate the behavior of the vertebrate eye, detecting edges, differentiating between surfaces, and estimating motion. The speed and simplicity of these devices make them candidates for applications ranging from security systems to retinal replacements.
Koch, Christof, Mathur, Bimal
openaire   +2 more sources

Modeling Orientation Selectivity Using a Neuromorphic Multi-Chip System [PDF]

open access: yes, 2006
Chicca E, Lichtsteiner P, Delbruck T, Indiveri G, Douglas RJ. Modeling Orientation Selectivity Using a Neuromorphic Multi-Chip System. Presented at the Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS).The growing interest in ...
Douglas, R. J.   +9 more
core   +1 more source

Exploiting device mismatch in neuromorphic VLSI systems to implement axonal delays [PDF]

open access: yes, 2012
Axonal delays are used in neural computation to implement faithful models of biological neural systems, and in spiking neural networks models to solve computationally demanding tasks. While there is an increasing number of software simulations of spiking
Sadique Sheik   +8 more
core   +1 more source

A VLSI neuromorphic device for implementing spike-based neural networks [PDF]

open access: yes, 2011
Indiveri G, Chicca E. A VLSI neuromorphic device for implementing spike-based neural networks. Presented at the Proceedings of the 21st Italian Workshop on Neural Nets (WIRN).We present a neuromorphic VLSI device which comprises hybrid analog/digital ...
Morabito, C. F.   +5 more
core   +1 more source

Neuromorphic Engineering: From Neural Systems to Brain-Like Engineered Systems [PDF]

open access: yes, 2013
Morabito FC, Andreou AG, Chicca E. Neuromorphic Engineering: From Neural Systems to Brain-Like Engineered Systems. Neural Networks.
Andreou, Andreas G.   +2 more
core   +1 more source

Making Sense of Neuromorphic Event Data for Human Action Recognition

open access: yesIEEE Access, 2021
Neuromorphic vision sensors provide low power sensing and capture salient spatial-temporal events. The majority of the existing neuromorphic sensing work focus on object detection.
Salah Al-Obaidi   +2 more
doaj   +1 more source

Systematic configuration and automatic tuning of neuromorphic systems [PDF]

open access: yes, 2011
In the past recent years several research groups have proposed neuromorphic Very Large Scale Integration (VLSI) devices that implement event-based sensors or biophysically realistic networks of spiking neurons.
Sheik, S.   +14 more
core   +1 more source

Emergent auditory feature tuning in a real-time neuromorphic VLSI system [PDF]

open access: yes, 2012
Many sounds of ecological importance, such as communication calls, are characterized by time-varying spectra. However, most neuromorphic auditory models to date have focused on distinguishing mainly static patterns, under the assumption that dynamic ...
Martin eCoath   +31 more
core   +1 more source

eMorph: Towards Neuromorphic Robotic Vision

open access: yesProcedia Computer Science, 2011
AbstractThe eMorph project aims at introducing a new concept for vision in the field of humanoid robotics. The system that is currently being developed is inspired by the biology of mammalian visual systems, introducing concepts such as stimulus-driven signal acquisition and processing, together with space-variant sensor design coupled with active ...
Chiara Bartolozzi   +8 more
openaire   +2 more sources

Converting Static Image Datasets to Spiking Neuromorphic Datasets Using Saccades

open access: yesFrontiers in Neuroscience, 2015
Creating datasets for Neuromorphic Vision is a challenging task. A lack of available recordings from Neuromorphic Vision sensors means that data must typically be recorded specifically for dataset creation rather than collecting and labelling existing ...
Garrick eOrchard   +4 more
doaj   +1 more source

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