Results 131 to 140 of about 14,261 (179)

Machine Learning-Based Prediction Framework for Complex Neuromorphic Dynamics of Third-Order Memristive Neurons at the Edge of Chaos. [PDF]

Entropy (Basel)
Luo T, Yan L, Liu W.
europepmc   +1 more source

A reconfigurable photosensitive split-floating-gate memory for neuromorphic computing and nonlinear activation. [PDF]

Nat Commun
Zhang ZC, Li Y, Yao J, Chen Z, Wang FD, Si SH, Ding Y, Qi HL, Lu TB, Kang L, Liu ZB, Tian JG, Chen XD.   +12 more
europepmc   +1 more source

Marine-Inspired Multimodal Sensor Fusion and Neuromorphic Processing for Autonomous Navigation in Unstructured Subaquatic Environments. [PDF]

Sensors (Basel)
Sheikder C, Zhang W, Chen X, Li F, Liu Y, Zuo Z, He X, Tan X.   +7 more
europepmc   +1 more source

Towards the neuromorphic Cyber-Twin: an architecture for cognitive defense in digital twin ecosystems. [PDF]

Front Big Data
Nasir N, Al Hamadi H.
europepmc   +1 more source

Low Power FA₂PbI₄/SiO₂ Bilayer Memristors with Pt Nanoparticles Exhibiting Reconfigurable Synaptic and Neuron Properties for Compact Optoelectronic Neuromorphic Systems. [PDF]

Nano Lett
Bousoulas P, Orfanoudakis S, Spathi D, Pagonis V, Tsetseris L, Tsioustas C, Tsipas P, Kontos AG, Stergiopoulos T, Tsoukalas D.   +9 more
europepmc   +1 more source

Low-Power Perovskite-Based Memristors Enable Fused Reservoir Computing and Neuromorphic Vision with Highly Accurate Color Perception. [PDF]

Small
Bousoulas P, Orfanoudakis S, Tsetseris L, Tsioustas C, Skorda S, Sachat AE, Tsipas P, Kontos AG, Stergiopoulos T, Tsoukalas D.   +9 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

An Asynchronous Soft Macro for Ultra-Low Power Communication in Neuromorphic Computing

2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2022
Asynchronous networks-on-chip (NoCs) playa fundamental role to materialize energy efficiency and scalability of spiking neural network-based neuromorphic systems. An unmistakable trend in this field consists of using bundled-data encoding for NoC design, showing promise in overall cost metrics while incorporating moderate timing constraints.
Bertozzi D., Bhardwaj K., Nowick S. M.
openaire   +2 more sources

Ultra-Low power neuromorphic computing with spin-torque devices

2013 Third Berkeley Symposium on Energy Efficient Electronic Systems (E3S), 2013
Emerging spin transfer torque (ST) devices such as lateral spin valves and domain wall magnets may lead to ultra-low-voltage, current-mode, spin-torque switches that can offer attractive computing capabilities, beyond digital switches. This paper reviews our work on ST-based non-Boolean data-processing applications, like neural-networks, which involve ...
Mrigank Sharad, Deliang Fan, Karthik Yogendra, Kaushik Roy   +3 more
openaire   +1 more source

Spin-Transfer Torque Magnetic neuron for low power neuromorphic computing

2015 International Joint Conference on Neural Networks (IJCNN), 2015
Neuromorphic computing attempts to emulate the remarkable efficiency of the human brain in vision, perception and cognition related tasks. Nanoscale devices that offer a direct mapping to the underlying neural computations have emerged as a promising candidate for such neuromorphic architectures.
Abhronil Sengupta, Kaushik Roy
openaire   +1 more source