Single inertial neuron with forced bipolar pulse: chaotic dynamics, circuit implementation, and color image encryption DOI Creative Commons

Shuang Zhao,

Joon Huang Chuah, Anis Salwa Mohd Khairuddin

et al.

Physica Scripta, Journal Year: 2024, Volume and Issue: 100(1), P. 015229 - 015229

Published: Dec. 6, 2024

Abstract The bipolar pulse current can effectively mimic the external time-varying stimulus of neurons, and its effect neuronal dynamics has rarely been reported. To this end, paper reports effects pulses on a two-dimensional single inertial neuron model, showcasing chaotic hidden attractors coexisting symmetric attractors, which is significant importance for understanding complex behaviors under stimuli application. Firstly, mathematical model intertial with forced presented, then equilibrium states behaving as unstable saddle point (USP), stable node-focus (SNF), node (SNP) are analyzed. Additionally, by using multiple dynamical methods including bifurcation plots, basins attraction, phase interesting revealed, induced well initial values, both. In addition, such effets valideted via simple multiplerless electronic circuit. implementation circuit presented constructed analog level executed PSIM platform. measurement results verified double-scroll period/chaos behaviors. Finally, sequences applied to color image encryption benefit requirements modern security field. effectiveness demonstrated through various evaluation indexes, histogram analysis, information entropy, correlation coefficient, plaintext sensitivity, resistance noise attacks.

Language: Английский

Neuromorphic Computing for Smart Agriculture DOI Creative Commons
Siyi Lu, Xinqing Xiao

Agriculture, Journal Year: 2024, Volume and Issue: 14(11), P. 1977 - 1977

Published: Nov. 4, 2024

Neuromorphic computing has received more and attention recently since it can process information interact with the world like human brain. Agriculture is a complex system that includes many processes of planting, breeding, harvesting, processing, storage, logistics, consumption. Smart devices in association artificial intelligence (AI) robots Internet Things (IoT) systems have been used also need to be improved accommodate growth computing. great potential promote development smart agriculture. The aim this paper describe current principles neuromorphic technology, explore examples applications agriculture, consider future route synapses, neurons, neural networks (ANNs). A expected improve agricultural production efficiency ensure food quality safety for nutrition health agriculture future.

Language: Английский

Citations

12
Versatile NbOx‐Based Volatile Memristor for Artificial Intelligent Applications DOI Open Access

Dongyeol Ju,

Sungjun Kim

Advanced Functional Materials, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 2, 2024

Abstract To achieve cost‐effectiveness, researchers are exploring various memristors for their adaptation in neuromorphic computing. Recent studies have focused on developing versatile functioning singular memristors, such as those involved on‐receptor computing, which integrates sensory functions into current computing paradigms. Additionally, adaptations like reservoir being investigated systems. In this study, a memristor composed of stack Ti/NbO x /Pt layers is fabricated to explore multifunctional behaviors within single memristor. By applying bias toward the top Ti electrode, gradual changes with volatile features demonstrated, revealing an ion‐migration‐based nonfilamentary switching Leveraging functionality, artificial nociceptor first implemented, demonstrating key biological nociceptors including thresholding, relaxation, no‐adaptation, and sensitization. Subsequently, synapse emulation akin brain achieved through easy conductance potentiation depression diverse functions, enabling mimic learning activities spike firing. Lastly, computational applications explored by adapting edge multi‐bit expanding memristor's across fields behaviors.

Language: Английский

Citations

9
Bionic Recognition Technologies Inspired by Biological Mechanosensory Systems DOI Open Access
Xiangxiang Zhang, Chang-Guang Wang, Xin Pi

et al.

Advanced Materials, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 21, 2025

Abstract Mechanical information is a medium for perceptual interaction and health monitoring of organisms or intelligent mechanical equipment, including force, vibration, sound, flow. Researchers are increasingly deploying recognition technologies (MIRT) that integrate acquisition, pre‐processing, processing functions expected to enable advanced applications. However, this also poses significant challenges acquisition performance efficiency. The novel exciting mechanosensory systems in nature have inspired us develop superior bionic (MIBRT) based on materials, structures, devices address these challenges. Herein, first strategies pre‐processing presented their importance high‐performance highlighted. Subsequently, design considerations sensors by mechanoreceptors described. Then, the concepts neuromorphic summarized order replicate biological nervous system. Additionally, ability MIBRT investigated recognize basic information. Furthermore, further potential applications robots, healthcare, virtual reality explored with view solve range complex tasks. Finally, future opportunities identified from multiple perspectives.

Language: Английский

Citations

1
Ion Intercalation‐Mediated MoS2 Conductance Switching for Highly Energy‐Efficient Memristor Synapse DOI Creative Commons
Bin Zhao, Xuan Zhao, Xiaochen Xun

et al.

Advanced Electronic Materials, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 2, 2025

Abstract Emerging memristor synapses with ion dynamics have the potential to process spatiotemporal information and can accelerate development of energy‐efficient neuromorphic computing. However, conventional ion‐migration‐type memristors suffer from low switching speed uncontrollable conductance modulation, hindering hardware implementation. Here, intercalation‐mediated in MoS 2 is introduced for a highly synapse (HEMS) accurately emulate bio‐synaptic function. Li‐ion intercalation into few‐layer induce structural evolution, thereby achieving high‐speed controllable modulation HEMS. Consequently, HEMS exhibits energy efficiency fast 500 ns consumption 2.85 fJ per synaptic event. The stable bidirectional plasticity by consecutive voltage pulses 5000 times be achieved Besides, endowed logic functions multiple sets inputs parallel integration. This work offers an alternative strategy fast‐speed via develop future

Language: Английский

Citations

1
Electrical-Light Coordinately Modulated Synaptic Memristor Based on Ti3C2 MXene for Near-Infrared Artificial Vision Applications DOI

Langchun Yue,

Hao Sun,

Yirun Zhu

et al.

The Journal of Physical Chemistry Letters, Journal Year: 2024, Volume and Issue: 15(34), P. 8667 - 8675

Published: Aug. 19, 2024

Emerging optoelectronic memristive devices with high parallelism and low-power consumption have made neuromorphic computing hardware a tangible reality. The coordination of conductivity regulation through both electrical light signals is pivotal for advancing the development synaptic memristors brainlike functionalities. Here, an artificial visual synapse presented Ti3C2 MXene memristor which demonstrates not only nonvolatile memory effect (Set/Reset: 0.58/–0.55 V; Retention: >103 s) sustained multistage conductivity, but also facile modulation electrical- light-stimulated behaviors. By adjusting stimulus parameters, enables realization biosynaptic excitatory postsynaptic current, stable long-term facilitation/depression, paired pulse facilitation, spiking-timing-dependent plasticity, experiential learning. Particularly, benefiting from distinguishable photoconductive effects multiple near-infrared intensities (7–13 mW/cm2), potential applications in nociceptive perception ("threshold", "noadaption", "relaxation") imaging (e.g., "Superman" cartoon character) infrared environments are well achieved such memristors. These results hold significant implications future advancement integrated sensing, memory, nociception, systems.

Language: Английский

Citations

5
Surfing the Growth Parameters in the Quest for Low‐Power, Forming‐Free, and Highly Stable TiOx Memristors for Nanoscale Electronics DOI Open Access
Dilruba Hasina, Aparajita Mandal, S. K. Srivastava

et al.

Small, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 16, 2025

Understanding the resistive switching (RS) behavior of oxide-based memory devices at nanoscale is crucial for advancement high-integration density in-memory computing platforms. This study explores a comprehensive growth parameter space to address RS pulsed-laser-deposited substoichiometric TiO2 (TiOx) thin films in search tailored memristors with low-power consumption and high stability. Conductive-atomic-force-microscopy-based measurements facilitate deciphering nanoscale, providing direct avenue understand microstructure-property relationships. The present investigation reveals that rutile TiOx an optimal stoichiometric configuration exhibits superior attributes, enabling forming-free, low-power, highly stable functionalities nanoscale. By contrast, expected formation Magnéli phase within defective as-grown film hinders occurrence switching. Detailed analyses yield parametric diagram, valuable insights predict parameters fabricating on-demand TiOx-based devices. As bulk attributes do not always translate seamlessly leads pathway develop electronics promoting their integration into ultrahigh-density, low-energy-consuming advanced technologies across diverse disciplines including robotics, data storage, sensing.

Language: Английский

Citations

0
An innovative biomimetic technology: Memristors mimic human sensation DOI
Kun Wang,

Mengna Wang,

Bai Sun

et al.

Nano Energy, Journal Year: 2025, Volume and Issue: unknown, P. 110698 - 110698

Published: Jan. 1, 2025

Language: Английский

Citations

0
Multi-functional Synaptic Memristor for Neuromorphic Pattern Recognition and Image Compression DOI
Hao Sun, Siyuan Li, Xiaofei Dong

et al.

Materials Today Physics, Journal Year: 2025, Volume and Issue: unknown, P. 101684 - 101684

Published: Feb. 1, 2025

Language: Английский

Citations

0
MoS2-based Quantum Dot Artificial Synapses for Neuromorphic Computing DOI

Gongjie Liu,

Haoqi Liu,

Feifan Fan

et al.

Materials Today Physics, Journal Year: 2025, Volume and Issue: unknown, P. 101703 - 101703

Published: March 1, 2025

Language: Английский

Citations

0
Printed Interconnects for Heterogeneous Systems Integration on Flexible Substrates DOI Creative Commons
Abhishek Singh Dahiya, Adamos Christou, Sihang Ma

et al.

Advanced Materials Technologies, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 9, 2024

Abstract Heterogeneous integration on flexible substrates has been explored in recent years to meet the high‐performance and form factors requirements of several emerging applications. Reliable interconnects, both 2D 3D layouts, are critical for effective use these systems. But it is challenging employ conventional bonding interconnect technology due considerable mismatches mechanical thermal properties. For example, ultra‐thin chips (UTCs) too fragile withstand static or oscillating forces applied during bonding. In this regard, printing metal tracks a promising alternative access contact pads integrated circuits (ICs), as interconnects diverse can be realized at room temperature processing using much materials needed. Further, easier attain step coverage. Considering above attractive features, challenges associated with techniques, article focuses development high‐resolution layouts explores various routes available high density integration. The also discusses major interposers/interconnects forming methods their limitations hybrid electronics along few examples printed highlight opportunities future.

Language: Английский

Citations

3