Results 51 to 60 of about 31,264 (300)

Systematic construction of finite state automata using VLSI spiking neurons [PDF]

, 2012
Spiking neural networks implemented using electronic Very Large Scale Integration (VLSI) circuits are promising information processing architectures for carrying out complex cognitive tasks in real-world applications.
Neftci, Emre, Emre Neftci, Chicca, Elisabetta, Lepora, Nathan F., Rodney Douglas, Prescott, Tony J., Giacomo Indiveri, Verschure, Paul F. M. J., Jonathan Binas, Elisabetta Chicca, Binas, Jonathan, Indiveri, Giacomo, Mura, Anna, Chicca, Elisabetta ; https://orcid.org/, Douglas, Rodney   +14 more
core   +1 more source

Neuromorphic data microscope [PDF]

Proceedings of the Neuromorphic Computing Symposium, 2017
In 2016, Lewis Rhodes Labs, (LRL), shipped the first commercially viable Neuromorphic Processing Unit, (NPU), branded as a Neuromorphic Data Microscope (NDM). This product leverages architectural mechanisms derived from the sensory cortex of the human brain to efficiently implement pattern matching.
David R. Follett, Duncan Townsend, Pamela L. Follett, Gabe D. Karpman, John H. Naegle, Roger A. Suppona, James B. Aimone, Conrad D. James   +7 more
openaire   +1 more source

Neuromorphic quantum computing

Physical Review E, 2022
9 pages, 8 ...
Pehle, Christian, Wetterich, Christof
openaire   +3 more sources

Embodied neuromorphic intelligence [PDF]

Nature Communications, 2022
AbstractThe design of robots that interact autonomously with the environment and exhibit complex behaviours is an open challenge that can benefit from understanding what makes living beings fit to act in the world. Neuromorphic engineering studies neural computational principles to develop technologies that can provide a computing substrate for ...
Bartolozzi, Chiara, Indiveri, Giacomo, Donati, Elisa   +2 more
openaire   +5 more sources

Exploiting spatio-temporal patterns with neuromorphic systems [PDF]

, 2023
New demands in artificial intelligence, the increase of data available, and the forecasts of reaching Moore’s law ceiling push algorithms towards the edge for low latency, low power, and highly intelligent devices.
PEQUEÑO ZURRO, ALEJANDRO
core  

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

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

LSB2/Synthetic-neuromorphic-computing-in-living-cells-_2022:

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

A VLSI recurrent network of integrate-and-fire neurons connected by plastic synapses with long-term memory [PDF]

, 2003
Chicca E, Badoni D, Dante V, et al. A VLSI recurrent network of integrate-and-fire neurons connected by plastic synapses with long-term memory. IEEE Transactions on Neural Networks.
Fusi, S., Salina, G., Carota, L., Badoni, D., Del Giudice, P., D'Andreagiovanni, M., Dante, V., Chicca, Elisabetta ; https://orcid.org/   +7 more
core   +1 more source

Design and implementation of a parsimonious neuromorphic PID for onboard altitude control for MAVs using neuromorphic processors

, 2022
The great promises of neuromorphic sensing and processing for robotics have led researchers and engineers to investigate novel models for robust and reliable control of autonomous robots (navigation, obstacle detection and avoidance, etc.), especially ...
Dupeyroux, J.J.G. (author), de Croon, G.C.H.E., de Croon, G.C.H.E. (author), Stroobants, S. (author), Dupeyroux, J.J.G., Stroobants, S.   +5 more
core   +2 more sources

Nonvolatile Memories in Spiking Neural Network Architectures: Current and Emerging Trends [PDF]

, 2022
A sustainable computing scenario demands more energy-efficient processors. Neuromorphic systems mimic biological functions by employing spiking neural networks for achieving brain-like efficiency, speed, adaptability, and intelligence.
Corradi, Federico; id_orcid, M. Lakshmi Varshika, Corradi, Federico, Anup Das, Das, Anup Kumar, Lakshmi Varshika, M., Federico Corradi   +6 more
core   +2 more sources