Results 41 to 50 of about 4,995,169 (271)

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

Neuromorphic computing for attitude estimation onboard quadrotors [PDF]

open access: yes, 2022
Compelling evidence has been given for the high energy efficiency and update rates of neuromorphic processors, with performance beyond what standard Von Neumann architectures can achieve. Such promising features could be advantageous in critical embedded
Dupeyroux, J.J.G. (author)   +8 more
core   +1 more source

A spiking central pattern generator for the control of a simulated lamprey robot running on SpiNNaker and Loihi neuromorphic boards [PDF]

open access: yes, 2021
Central pattern generator (CPG) models have long been used to investigate both the neural mechanisms that underlie animal locomotion, as well as for robotic research.
Buchholz, Emanuel   +16 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

Superlow Power Consumption Artificial Synapses Based on WSe2 Quantum Dots Memristor for Neuromorphic Computing

open access: yesResearch, 2022
As the emerging member of zero-dimension transition metal dichalcogenide, WSe2 quantum dots (QDs) have been applied to memristors and exhibited better resistance switching characteristics and miniaturization size.
Zhongrong Wang   +15 more
doaj   +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

Large-Scale Neuromorphic Spiking Array Processors: A Quest to Mimic the Brain

open access: yesFrontiers in Neuroscience, 2018
Neuromorphic engineering (NE) encompasses a diverse range of approaches to information processing that are inspired by neurobiological systems, and this feature distinguishes neuromorphic systems from conventional computing systems. The brain has evolved
Chetan Singh Thakur   +14 more
doaj   +1 more source

Investigation of the mechanism of the anomalous Hall effects in Cr2Te3/(BiSb)2(TeSe)3 heterostructure

open access: yesNano Convergence, 2023
The interplay between ferromagnetism and the non-trivial topology has unveiled intriguing phases in the transport of charges and spins. For example, it is consistently observed the so-called topological Hall effect (THE) featuring a hump structure in the
Seong Won Cho   +10 more
doaj   +1 more source

Channel for Neuromorphic Engineering [PDF]

open access: yes, 2022
Novel memory devices are essential for developing low power, fast, and accurate in-memory computing and neuromorphic engineering concepts that can compete with the conventional complementary metal-oxide-semiconductor (CMOS) digital processors.
Mannocci, Piergiulio   +11 more
core   +1 more source

Neuromorphic engineering: neuromimetic computation for understanding the brain [PDF]

open access: yes, 2014
Neuromorphic engineering attempts to understand the computational properties of neural processing systems by building electronic circuits and systems that emulate the principles of computation in the neural systems.
Abbott, Derek   +2 more
core   +1 more source

Home - About - Disclaimer - Privacy