Results 21 to 30 of about 19,662,716 (202)

Neuromorphic computing for attitude estimation onboard quadrotors [PDF]

, 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), de Croon, G.C.H.E. (author), Stroobants, S. (author), de Croon, Guido C. H. E., Stroobants, Stein, Dupeyroux, Julien, Julien Dupeyroux, Guido C H E de Croon, Stein Stroobants   +8 more
core   +1 more source

RETRACTED: Benchmarking neuromorphic systems with Nengo [PDF]

Frontiers in Neuroscience, 2015
Nengo is a software package for designing and simulating large-scale neural models. Nengo is architected such that the same Nengo model can be simulated on any of several Nengo backends with few to no modifications. Backends translate a model to specific platforms, which include GPUs and neuromorphic hardware.
Bekolay, Trevor, Stewart, Terrence C., Eliasmith, Chris   +2 more
openaire   +3 more sources

Systematic configuration and automatic tuning of neuromorphic systems [PDF]

, 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., Neftci, E, Indiveri, G, Fabio Stefanini, Emre Neftci, Sheik, S, Sadique Sheik, Chicca, E, Stefanini, F., Indiveri, G., Giacomo Indiveri, Elisabetta Chicca, Chicca, Elisabetta ; https://orcid.org/, Neftci, E., Stefanini, F   +14 more
core   +1 more source

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

, 2013
Morabito FC, Andreou AG, Chicca E. Neuromorphic Engineering: From Neural Systems to Brain-Like Engineered Systems. Neural Networks.
Andreou, Andreas G., Morabito, Francesco Carlo, Chicca, Elisabetta ; https://orcid.org/   +2 more
core   +1 more source

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

, 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, Giacomo eIndiveri, Elisabetta eChicca, Sadique Sheik, Martin Coath, Wennekers, Thomas, Chicca, E, Susan L Denham, Thomas eWennekers, Elisabetta Chicca, Chicca, Elisabetta ; https://orcid.org/, Coath, Martin, Indiveri, G, Indiveri, Giacomo; id_orcid, Denham, Susan L., Coath, M, Chicca, Elisabetta, Sheik, S, Sadique eSheik, Denham, S L, Sheik, Sadique, Wennekers, T, Giacomo Indiveri, Susan L. Denham, Indiveri, Giacomo, Thomas Wennekers, Indiveri G, Wennekers T, Coath M, Denham SL, Chicca E, Sheik S   +31 more
core   +1 more source

Neuromorphic electronic systems [PDF]

Proceedings of the IEEE, 1990
It is shown that for many problems, particularly those in which the input data are ill-conditioned and the computation can be specified in a relative manner, biological solutions are many orders of magnitude more effective than those using digital methods.
openaire   +2 more sources

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

, 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, Sheik, S., Sheik, Sadique, Indiveri, G., Giacomo Indiveri, Elisabetta Chicca, Chicca, Elisabetta, Indiveri, Giacomo, Chicca, Elisabetta ; https://orcid.org/   +8 more
core   +1 more source

LSB2/2022-Synthetic-neuromorphic-computing-in-living-cells: Initial Release

, 2022
Synthetic-neuromorphic-computing-in-living ...
LSB2
core   +1 more source

Emerging Materials for Neuromorphic Devices and Systems

iScience, 2020
Neuromorphic devices and systems have attracted attention as next-generation computing due to their high efficiency in processing complex data. So far, they have been demonstrated using both machine-learning software and complementary metal-oxide ...
Min-Kyu Kim, Youngjun Park, Ik-Jyae Kim, Jang-Sik Lee   +3 more
doaj   +1 more source

VLSI implementation of a 2.8 Gevent/s packet based AER interface with routing and event sorting functionality

Frontiers in Neuroscience, 2011
State-of-the-art large scale neuromorphic systems require sophisticated spike event communication between units of the neural network. We present a high-speed communication infrastructure for a waferscale neuromorphic system, based on application ...
Stefan eScholze, Stefan eSchiefer, Johannes ePartzsch, Stephan eHartmann, Christian Georg Mayr, Sebastian eHöppner, Holger eEisenreich, Stephan eHenker, Bernhard eVogginger, Rene eSchüffny   +9 more
doaj   +1 more source