Results 21 to 30 of about 17,204,563 (294)

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

, 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., Indiveri, G., Apolloni, B., Esposito, A., Chicca, Elisabetta ; https://orcid.org/, Bassis, S.   +5 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   +25 more
core   +1 more source

Integration of neuromorphic AI in event-driven distributed digitized systems: Concepts and research directions

Frontiers in Neuroscience, 2023
Increasing complexity and data-generation rates in cyber-physical systems and the industrial Internet of things are calling for a corresponding increase in AI capabilities at the resource-constrained edges of the Internet.
Mattias Nilsson, Olov Schelén, Anders Lindgren, Anders Lindgren, Ulf Bodin, Cristina Paniagua, Jerker Delsing, Fredrik Sandin   +7 more
doaj   +1 more source

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

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

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

Editorial: Neuromorphic engineering for robotics [PDF]

, 2023
Neuromorphic engineering aims to apply insights from neurobiology to develop next-generation artificial intelligence for computation, sensing, and the control of robotic systems.
Knoll, Alois, Bing, Zhenshan, Yang, Chenguang   +2 more
core   +1 more source

Artificial Resilience in neuromorphic systems

International Symposium on Highly-Efficient Accelerators and Reconfigurable Technologies, 2022
Biological beings are intrinsically resilient. This means that they are able to continue to perform a task even if they are partially damaged or if some parts of them don’t work as expected. This is true also for the human brain. The research in these last years, however, has been concentrated on Artificial Intelligence (AI), to try to emulate the ...
Carpegna, Alessio, Di Carlo, Stefano, Savino, Alessandro   +2 more
openaire   +3 more sources

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

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