Results 81 to 90 of about 85,686 (325)

Optoelectronic Synaptic Devices Using Molecular Telluride Phase‐Change Inks for Three‐Factor Learning

open access: yesAdvanced Functional Materials, EarlyView.
Optoelectronic synaptic devices based on solution‐processed molecular telluride GST‐225 phase‐change inks are demonstrated for three‐factor learning. A global optical signal broadcast through a silicon waveguide induces non‐volatile conductance updates exclusively in locally electrically flagged memristors.
Kevin Portner   +14 more
wiley   +1 more source

Aptamer‐Mediated Artificial Synapses for Neuromorphic Modulation of Inflammatory Signaling via Organic Electrochemical Transistor

open access: yesAdvanced Science
Artificial synaptic devices that mimic neuromorphic signal processing hold great promise for bioelectronic interfaces. However, most systems remain limited to physical stimuli or electroactive small molecules, lacking the ability to transduce ...
Yuqing Ding   +11 more
doaj   +1 more source

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

open access: yesAdvanced 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   +6 more
wiley   +1 more source

Memory and information processing in neuromorphic systems

open access: yes, 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

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

open access: yesAdvanced 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   +11 more
wiley   +1 more source

Synaptic transistor implementing potentiation or depression via field distribution modulation of dual dielectric layers by single-polarity pulsed voltage stimuli

open access: yesMaterials Today Advances
Understanding and simulating the synaptic plasticity mechanisms of the human brain are crucial for advancing neuromorphic computers for artificial intelligence (AI) and humanoid applications.
Jieun Kim   +4 more
doaj   +1 more source

Hybrid Piezoelectric-Magnetic Neurons: A Proposal for Energy-Efficient Machine Learning

open access: yes, 2018
This paper proposes a spintronic neuron structure composed of a heterostructure of magnets and a piezoelectric with a magnetic tunnel junction (MTJ). The operation of the device is simulated using SPICE models.
Heard, Blake   +7 more
core   +1 more source

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

open access: yesAdvanced 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   +6 more
wiley   +1 more source

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

open access: yes, 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

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