Results 41 to 50 of about 10,442 (302)

A VLSI neuromorphic device for implementing spike-based neural networks

, 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

A FPGA-Based Neuromorphic Locomotion System for Multi-Legged Robots

IEEE Access, 2017
The paper develops a neuromorphic system on a Spartan 6 field programmable gate array (FPGA) board to generate locomotion patterns (gaits) for three different legged robots (biped, quadruped, and hexapod).
Erick Israel Guerra-Hernandez, Andres Espinal, Patricia Batres-Mendoza, Carlos Hugo Garcia-Capulin, Rene De J. Romero-Troncoso, Horacio Rostro-Gonzalez   +5 more
doaj   +1 more source

Multilayer Crossbar Array of Amorphous Metal-Oxide Semiconductor Thin Films for Neuromorphic Systems

IEEE Journal of the Electron Devices Society, 2022
A multilayer crossbar array has been developed using amorphous metal-oxide semiconductor (AOS) thin films and implemented into a neuromorphic system.
Etsuko Iwagi, Takumi Tsuno, Takahito Imai, Yasuhiko Nakashima, Mutsumi Kimura   +4 more
doaj   +1 more source

A Spike-Based Neuromorphic Architecture of Stereo Vision

Frontiers in Neurorobotics, 2020
The problem of finding stereo correspondences in binocular vision is solved effortlessly in nature and yet it is still a critical bottleneck for artificial machine vision systems.
Nicoletta Risi, Alessandro Aimar, Elisa Donati, Sergio Solinas, Giacomo Indiveri   +4 more
doaj   +1 more source

Systematic configuration and automatic tuning of neuromorphic systems

, 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

Ultra robust negative differential resistance memristor for hardware neuron circuit implementation

Nature Communications
Neuromorphic computing holds immense promise for developing highly efficient computational approaches. Memristor-based artificial neurons, known for due to their straightforward structure, high energy efficiency, and superior scalability, which enable ...
Yifei Pei, Biao Yang, Xumeng Zhang, Hui He, Yong Sun, Jianhui Zhao, Pei Chen, Zhanfeng Wang, Niefeng Sun, Shixiong Liang, Guodong Gu, Qi Liu, Shushen Li, Xiaobing Yan   +13 more
doaj   +1 more source

A neuromorphic system for video object recognition [PDF]

Frontiers in Computational Neuroscience, 2014
Automated video object recognition is a topic of emerging importance in both defense and civilian applications. This work describes an accurate and low-power neuromorphic architecture and system for real-time automated video object recognition. Our system, Neuormorphic Visual Understanding of Scenes (NEOVUS), is inspired by computational neuroscience ...
Khosla, Deepak, Chen, Yang, Kim, Kyungnam   +2 more
openaire   +3 more sources

Laser‐Induced Graphene from Waste Almond Shells

Advanced Functional Materials, EarlyView.
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova, Anna Chiara Bressi, Marina Galliani, Attilio Marino, Gianni Ciofani, Eduardo Machado‐Charry, Hilda Gomez Bernal, Alessandra Francini, Luca Sebastiani, Francesco Greco   +9 more
wiley   +1 more source

Exploiting device mismatch in neuromorphic VLSI systems to implement axonal delays

, 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

Intermediate Resistive State in Wafer‐Scale Vertical MoS2 Memristors Through Lateral Silver Filament Growth for Artificial Synapse Applications

Advanced Functional Materials, EarlyView.
In MOCVD MoS2 memristors, a current compliance‐regulated Ag filament mechanism is revealed. The filament ruptures spontaneously during volatile switching, while subsequent growth proceeds vertically through the MoS2 layers and then laterally along the van der Waals gaps during nonvolatile switching.
Yuan Fa, Milan Buttberg, Ke Ran, Rana Walied Ahmad, Dennis Braun, Lukas Völkel, Jimin Lee, Sofía Cruces, Bart Macco, Bárbara Canto, Holger Lerch, Thorsten Wahlbrink, Holger Kalisch, Michael Heuken, Andrei Vescan, Joachim Mayer, Zhenxing Wang, Ilia Valov, Stephan Menzel, Max C. Lemme   +19 more
wiley   +1 more source