Results 81 to 90 of about 95,522 (318)

Memory and information processing in neuromorphic systems

, 2015
A striking difference between brain-inspired neuromorphic processors and current von Neumann processors architectures is the way in which memory and processing is organized.
Indiveri, Giacomo, Liu, Shih-Chii
core   +1 more source

Multibit Ferroelectric HfZrO Memcapacitor for Non‐Volatile Analogue Memory and Reconfigurable Electronics

Advanced Functional Materials, EarlyView.
Ferroelectric memcapacitors enable non‐volatile, voltage‐programmable capacitance tuning for adaptive electronics. A TiN/HfZrO/TiN device stack demonstrates more than eight stable capacitance states within a 24 pF memory window in compact 60 ×$\times$ 60 μm2$\umu{\rm m}^{2}$ devices at low operating voltages.
Deepika Yadav, Spyros Stathopoulos, Patrick Foster, Andreas Tsiamis, Mohamed Awadein, Hannah Levene, Themis Prodromakis   +6 more
wiley   +1 more source

Highly Promising 2D/1D BP‐C/CNT Bionic Opto‐Olfactory Co‐Sensory Artificial Synapses for Multisensory Integration

Advanced Science
The development of high‐performance artificial synaptic neuromorphic devices poses a significant challenge in the creation of biomimetic sensing neural systems that seamlessly integrate both sensory and computational functionalities.
Liyan Dong, Baojing Xue, Guodong Wei, Shuai Yuan, Mi Chen, Yue Liu, Ying Su, Yong Niu, Bingshe Xu, Pan Wang   +9 more
doaj   +1 more source

Current Pulses to Control the Conductance in RRAM Devices

IEEE Journal of the Electron Devices Society, 2020
Due to the high number of reachable conductance levels in resistive switching devices, they are good candidates to implement artificial synaptic devices.
Hector Garcia, Salvador Duenas, Oscar G. Ossorio, Helena Castan   +3 more
doaj   +1 more source

Artifact‐Minimizing Ultrathin Transparent Electrodes Fabricated via iCVD for In Vivo Optogenetic Stimulation and Neural Signal Monitoring of Primary Visual Cortex

Advanced Functional Materials, EarlyView.
We present ultrathin flexible transparent electrodes through iCVD‐enabled molecular control of 10 nm gold films on poly(dimethylaminomethylstyrene). In vivo validation demonstrated photoelectric artifact reduction vs. opaque electrodes and preservation of natural neural dynamics.
Tae Jin Mun, Minju Kim, Chaesung Kim, Yunyoung Choi, In‐Yeop Baek, Younghak Cho, Gyeongyong Lee, Yerim Jang, Min‐Ho Nam, Wonryung Lee, Maesoon Im, Hyejeong Seong   +11 more
wiley   +1 more source

Configurable Synaptic and Stochastic Neuronal Functions in ZnTe‐Based Memristor for an RBM Neural Network

Advanced Science
This study presents findings that demonstrate the possibility of simplifying neural networks by inducing multifunctionality through separate manipulation within a single material.
Jungang Heo, Seongmin Kim, Sungjun Kim, Min‐Hwi Kim   +3 more
doaj   +1 more source

BEOL‐Compatible Liquid‐Metal‐Printing of Ultrathin 2D Oxide Memtransistors and Its Applications in Neuromorphic Computing

Advanced Functional Materials, EarlyView.
Ultrathin 2D indium oxide memtransistors are reproducibly fabricated via a scalable liquid‐metal‐printing process under ambient, low‐temperature conditions. The devices achieve robust, gate‐tunable bipolar memristive switching with high switching ratios at a BEOL‐compatible maximum processing temperature of 300°C. Governed by trap‐controlled transport,
Sanghyun Moon, Seungyun Lee, Sunghan Cho, Donggyu Lee, Jehwan Park, Seongyun Yang, Jihyun Kim   +6 more
wiley   +1 more source

Versatile stochastic dot product circuits based on nonvolatile memories for high performance neurocomputing and neurooptimization. [PDF]

, 2019
The key operation in stochastic neural networks, which have become the state-of-the-art approach for solving problems in machine learning, information theory, and statistics, is a stochastic dot-product.
Mahmoodi, MR, Prezioso, M, Strukov, DB
core   +1 more source

Unsupervised Heart-rate Estimation in Wearables With Liquid States and A Probabilistic Readout

, 2017
Heart-rate estimation is a fundamental feature of modern wearable devices. In this paper we propose a machine intelligent approach for heart-rate estimation from electrocardiogram (ECG) data collected using wearable devices.
Adiraju, Prathyusha, Catthoor, Francky, Das, Anup, Dutt, Nikil, Groenendaal, Willemijn, Krichmar, Jeffrey L., Pradhapan, Paruthi, Rajan, Raj Thilak, Schaafsma, Siebren, Van Hoof, Chris   +9 more
core   +1 more source

Atomically Thin Synaptic Devices for Optoelectronic Neuromorphic Vision [PDF]

, 2023
Taimur Ahmed, Azmira Jannat, Vaishnavi Krishnamurthi, Thiha Aung, Aishani Mazumder, Ali Zavabeti, Nitu Syed, Torben Daeneke, Jian Zhen Ou, Akram Al‐Hourani, Sumeet Walia   +10 more
openalex   +1 more source