Results 21 to 30 of about 24,472 (312)

Toward Near-Real-Time Training With Semi-Random Deep Neural Networks and Tensor-Train Decomposition

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
In recent years, deep neural networks have shown to achieve state-of-the-art performance on several classification and prediction tasks. However, these networks demand undesirable lengthy training times coupled with high computational resources (memory ...
Humza Syed, Ryan Bryla, Uttam Majumder, Dhireesha Kudithipudi   +3 more
doaj   +1 more source

Artificial cognitive systems: From VLSI networks of spiking neurons to neuromorphic cognition [PDF]

, 2009
Neuromorphic engineering (NE) is an emerging research field that has been attempting to identify neural types of computational principles, by implementing biophysically realistic models of neural systems in Very Large Scale Integration (VLSI) technology.
Douglas, R J, Chicca, E, Douglas, R. J., Douglas, Rodney J., Indiveri, G, Indiveri, G., Indiveri, Giacomo, Chicca, Elisabetta, Chicca, Elisabetta ; https://orcid.org/   +8 more
core   +1 more source

Neuromorphic Robot Dream [PDF]

BioNanoScience, 2016
In this paper we present the next step in our approach to neurobiologically plausible implementation of emotional reactions and behaviors for real-time autonomous robotic systems. The working metaphor we use is the "day" and the "night" phases of mammalian life. During the "day phase" a robotic system stores the inbound information and is controlled by
Alexander Tchitchigin, Max Talanov, Larisa Safina, Manuel Mazzara   +3 more
openaire   +4 more sources

Martingales and the characteristic functions of absorption time on bipartite graphs

Royal Society Open Science, 2021
Evolutionary graph theory investigates how spatial constraints affect processes that model evolutionary selection, e.g. the Moran process. Its principal goals are to find the fixation probability and the conditional distributions of fixation time, and ...
Travis Monk, André van Schaik
doaj   +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

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

The influence of astrocytic leaflet motility on ionic signalling and homeostasis at active synapses

Scientific Reports, 2023
Astrocytes display a highly complex, spongiform morphology, with their fine terminal processes (leaflets) exercising dynamic degrees of synaptic coverage, from touching and surrounding the synapse to being retracted from the synaptic region.
Marinus Toman, John Joseph Wade, Alexei Verkhratsky, Mark Dallas, Angela Bithell, Bronac Flanagan, Jim Harkin, Liam McDaid   +7 more
doaj   +1 more source

Application of Soft-Clustering to Assess Consciousness in a CLIS Patient

Brain Sciences, 2022
Completely locked-in (CLIS) patients are characterized by sufficiently intact cognitive functions, but a complete paralysis that prevents them to interact with their surroundings.
Sophie Adama, Martin Bogdan
doaj   +1 more source

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

Simulation-based inference for model parameterization on analog neuromorphic hardware

Neuromorphic Computing and Engineering, 2023
The BrainScaleS-2 (BSS-2) system implements physical models of neurons as well as synapses and aims for an energy-efficient and fast emulation of biological neurons.
Jakob Kaiser, Raphael Stock, Eric Müller, Johannes Schemmel, Sebastian Schmitt   +4 more
doaj   +1 more source