Results 271 to 280 of about 76,325 (312)

Single Spike Neural Network Model for Superficial Environment Classification for Mobile Robot Navigation

Zhraa Issam Ibrahim, Nadia Adnan Shiltagh Al‐Jamali   +1 more
openalex   +2 more sources

Reconfigurable, Non‐Volatile Switching in WO3 Film for Resistive Memory and Multistate Programming Toward Energy‐Efficient Neuromorphic Computing Applications

Advanced Electronic Materials, EarlyView.
WO3${\rm WO}_3$ based resistive switching device was precisely controlled and shows the reconfigurable, non‐volatile switching which can be programmable to multi‐resistance states for memory applications. The memory device can also be utilised for low energy neuromorphic application.
Keval Hadiyal, Nagarajan Raghavan, Ramesh Mohan Thamankar   +2 more
wiley   +1 more source

A robust Parkinson's disease detection model based on time-varying synaptic efficacy function in spiking neural network. [PDF]

BMC Neurol
Das P, Nanda S, Panda G, Dash S, Ksibi A, Alsenan S, Bouchelligua W, Mallik S.   +7 more
europepmc   +1 more source

Electrode‐Engineered Dual‐Mode Multifunctional Lead‐Free Perovskite Optoelectronic Memristors for Neuromorphic Computing

Advanced Electronic Materials, EarlyView.
A lead‐free perovskite memristive solar cell structure that call emulate both synaptic and neuronal functions controlled by light and electric fields depending on top electrode type. ABSTRACT Memristive devices based on halide perovskites hold strong promise to provide energy‐efficient systems for the Internet of Things (IoT); however, lead (Pb ...
Michalis Loizos, Konstantinos Rogdakis, Konstantinos Chatzimanolis, Katerina Anagnostou, Emmanuel Kymakis   +4 more
wiley   +1 more source

Graph spiking neural network for advanced urban flood risk assessment. [PDF]

iScience
Liang Z, Fang X, Liang Z, Xiong J, Deng F, Nyamasvisva TE.   +5 more
europepmc   +1 more source

Triboelectric Tactile Transducers for Neuromorphic Sensing and Synaptic Emulation: Materials, Architectures, and Interfaces

Advanced Energy and Sustainability Research, EarlyView.
Triboelectric nanogenerators are vital for sustainable energy in future technologies such as wearables, implants, AI, ML, sensors and medical systems. This review highlights improved TENG neuromorphic devices with higher energy output, better stability, reduced power demands, scalable designs and lower costs.
Ruthran Rameshkumar, Arunkumar Chandrasekhar, Poongundran Selvaprabhu   +2 more
wiley   +1 more source

[A head direction cell model based on a spiking neural network with landmark-free calibration]. [PDF]

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi
Yu N, Huang J, Lin K, Zhang Z.
europepmc   +1 more source

Designing Memristive Materials for Artificial Dynamic Intelligence

Advanced Intelligent Discovery, EarlyView.
Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley   +1 more source

Low-power Spiking Neural Network audio source localisation using a Hilbert Transform audio event encoding scheme. [PDF]

Commun Eng
Haghighatshoar S, Muir DR.
europepmc   +1 more source

Training spiking neural networks

, 2023
openaire   +1 more source