Results 31 to 40 of about 22,264 (276)

The Impact of On-chip Communication on Memory Technologies for Neuromorphic Systems

, 2018
Emergent nanoscale non-volatile memory technologies with high integration density offer a promising solution to overcome the scalability limitations of CMOS-based neural networks architectures, by efficiently exhibiting the key principle of neural ...
Manohar, Rajit, Moradi, Saber
core   +1 more source

Spiking Neural Networks for Inference and Learning: A Memristor-based Design Perspective [PDF]

, 2019
On metrics of density and power efficiency, neuromorphic technologies have the potential to surpass mainstream computing technologies in tasks where real-time functionality, adaptability, and autonomy are essential.
Abbott, Bartolozzi, Bartolozzi, Benjamin, Bi, Bohte, Detorakis, Faisal, Fouda, Fouda, Furber, Gerstner, Gerstner, Goldberg, Gütig, Hinton, Hopfield, Huayaney, Hyvärinen, Ielmini, Indiveri, Isomura, Jolivet, Katz, Kim, Levy, Li, Lillicrap, Maass, Mead, Merolla, Moreno-Bote, Naous, Neftci, Neftci, Neftci, Paille, Park, Pfister, Prezioso, Puglisi, Qiao, Querlioz, Savin, Saïghi, Schultz, Shouval, Tiago, Urbanczik, Wan, Wang, Williams, Woo, Xie, Yarom, Yu, Yu   +56 more
core   +2 more sources

Ga-Sn-O Thin-Film Memristor and Analog Plasticity Characteristic

IEEE Journal of the Electron Devices Society, 2023
A Ga-Sn-O (GTO) thin-film memristor has been developed, and an analog plasticity characteristic has been observed. First, GTO thin-film memristors are fabricated by depositing three GTO layers in a stacked structure using sputtering.
Daisuke Makioka, Shu Shiomi, Mutsumi Kimura   +2 more
doaj   +1 more source

Forward Table-Based Presynaptic Event-Triggered Spike-Timing-Dependent Plasticity

, 2016
Spike-timing-dependent plasticity (STDP) incurs both causal and acausal synaptic weight updates, for negative and positive time differences between pre-synaptic and post-synaptic spike events.
Augustine, Charles, Cauwenberghs, Gert, Detorakis, Georgios, IEEE, Joshi, Siddharth, Neftci, Emre, Paul, Somnath, Pedroni, Bruno U, Sheik, Sadique   +8 more
core   +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

The Enhanced Performance of Neuromorphic Computing Hardware in an ITO/ZnO/HfO_x/W Bilayer-Structured Memory Device

Nanomaterials, 2023
This study discusses the potential application of ITO/ZnO/HfOx/W bilayer-structured memory devices in neuromorphic systems. These devices exhibit uniform resistive switching characteristics and demonstrate favorable endurance (>102) and stable retention (
Minseo Noh, Dongyeol Ju, Seongjae Cho, Sungjun Kim   +3 more
doaj   +1 more source

Conversion of Artificial Recurrent Neural Networks to Spiking Neural Networks for Low-power Neuromorphic Hardware

, 2016
In recent years the field of neuromorphic low-power systems that consume orders of magnitude less power gained significant momentum. However, their wider use is still hindered by the lack of algorithms that can harness the strengths of such architectures.
Cassidy, Andrew, Diehl, Peter U, IEEE, Neftci, Emre, Pedroni, Bruno U, Zarrella, Guido   +5 more
core   +1 more source

From Vision Sensor to Actuators, Spike Based Robot Control through Address-Event-Representation [PDF]

, 2009
One field of the neuroscience is the neuroinformatic whose aim is to develop auto-reconfigurable systems that mimic the human body and brain. In this paper we present a neuro-inspired spike based mobile robot.
Civit Balcells, Antón, Jiménez Fernández, Ángel Francisco, Jiménez Moreno, Gabriel, Linares Barranco, Alejandro, Luján Martínez, Carlos Daniel, Paz Vicente, Rafael   +5 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

Automatic Detection of High-Frequency Oscillations With Neuromorphic Spiking Neural Networks

Frontiers in Neuroscience, 2022
Interictal high-frequency oscillations (HFO) detected in electroencephalography recordings have been proposed as biomarkers of epileptogenesis, seizure propensity, disease severity, and treatment response.
Karla Burelo, Karla Burelo, Mohammadali Sharifshazileh, Giacomo Indiveri, Giacomo Indiveri, Johannes Sarnthein, Johannes Sarnthein   +6 more
doaj   +1 more source