Toward Cognitive Machines: Evaluating Single Device Based Spiking Neural Networks for Brain-Inspired Computing

ACS Applied Electronic Materials, Год журнала: 2025, Номер unknown

Опубликована: Фев. 14, 2025

A brain-inspired computing paradigm known as "neuromorphic computing" seeks to replicate the information processing processes of biological neural systems in order create that are effective, low-power, and adaptable. Spiking networks (SNNs) based on a single device at forefront computing, which aims mimic powers human brain. Neuromorphic devices, enable hardware implementation artificial (ANNs), heart neuromorphic computing. These devices dynamics functions neurons synapses. This mini-review assesses latest advancements with an emphasis small, energy-efficient synapses neurons. Key like spike-timing-dependent plasticity, multistate storage, dynamic filtering demonstrated by variety single-device models, such memristors, transistors, magnetic ferroelectric devices. The integrate-and-fire (IF) neuron is key model these because it allows for mathematical analysis while successfully capturing aspects processing. review examines potential SNNs scalable, low-power applications, highlighting both benefits constraints implementing them architectures. highlights increasing importance creation flexible cognitive

Язык: Английский

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Bifurcation and oscillations in fluidic nanopores: A model neuron for liquid neuromorphic networks

Physical Review Research, Год журнала: 2025, Номер 7(1)

Опубликована: Март 18, 2025

Neuron spiking constitutes the central information node in neural networks. Nanoscale fluidic pores with rectification and hysteresis provide opportunity to induce voltage oscillations same physical principles as living neurons. We establish conditions that enable self-sustained limit-cycle a single artificial pore channel by Hopf bifurcation, thus providing minimal model for elementary neuron. On nanochannel contains necessary ingredients capacitive inductive response stationary negative resistance, we identify range of parameters where occur. These results crucial guidelines identifying build oscillating nanopore according system's geometrical, electrical, fluidic, chemical variables, which otherwise could be overlooked, since relevant parameter region producing can narrow. Published American Physical Society 2025

Язык: Английский

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Leaky integrate-and-fire and oscillation neurons based on ZnO diffusive memristors for spiking neural networks

Science China Materials, Год журнала: 2025, Номер unknown

Опубликована: Янв. 24, 2025

Язык: Английский

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Multilevel Conductance States of Vapor‐Transport‐Deposited Sb₂S₃ Memristors Achieved via Electrical and Optical Modulation

Advanced Science, Год журнала: 2024, Номер 11(32)

Опубликована: Июль 3, 2024

The pursuit of advanced brain-inspired electronic devices and memory technologies has led to explore novel materials by processing multimodal multilevel tailored conductive properties as the next generation semiconductor platforms, due von Neumann architecture limits. Among such materials, antimony sulfide (Sb

Язык: Английский

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All-optical neuromorphic devices: materials, working mechanism, and applications

Science China Chemistry, Год журнала: 2025, Номер unknown

Опубликована: Янв. 3, 2025

Язык: Английский

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Bionic Recognition Technologies Inspired by Biological Mechanosensory Systems

Advanced Materials, Год журнала: 2025, Номер unknown

Опубликована: Янв. 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.

Язык: Английский

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Sodium-Enhanced Perovskite Reservoir for Photonic In-Sensor Computing

Nano Energy, Год журнала: 2025, Номер unknown, С. 110830 - 110830

Опубликована: Март 1, 2025

Язык: Английский

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Device physics recipe to make spiking neurons

Chemical Physics Reviews, Год журнала: 2023, Номер 4(3)

Опубликована: Сен. 1, 2023

Neurons, which are made of biological tissue, exhibit cognitive properties that can be replicated in various material substrates. To create brain-inspired computational artificial systems, we construct microscopic electronic neurons mimic natural systems. In this paper, discuss the essential and device needed for a spiking neuron, characterized using impedance spectroscopy small perturbation equivalent circuit elements. We find minimal neuron system requires capacitor, chemical inductor, negative resistance. These components integrated naturally physical response device, instead built from separate identify structural conditions smooth oscillations depend on certain dynamics conducting with internal state variables. variables diverse nature, such as fluids, solids, or ionic organic materials, implying functional ways. highlight importance detecting Hopf bifurcation, critical point achieving behavior, through spectral features impedance. end, provide systematic method analysis terms characteristic frequencies obtained methods. Thus, propose methodology to quantify devices produce dynamic necessary specific sensory-cognitive tasks. By replicating it may possible systems enhanced capabilities information processing, pattern recognition, learning. Additionally, understanding contribute our knowledge how function interact complex neural networks. Overall, paper presents novel approach toward building provides insight into important considerations behavior neurons.

Язык: Английский

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Artificial sensory system based on memristive devices

Exploration, Год журнала: 2023, Номер 4(1)

Опубликована: Ноя. 20, 2023

Abstract In the biological nervous system, integration and cooperation of parallel system receptors, neurons, synapses allow efficient detection processing intricate disordered external information. Such systems acquire process environmental data in real‐time, efficiently handling complex tasks with minimal energy consumption. Memristors can mimic typical by implementing key features neuronal signal‐processing functions such as selective adaption leaky integrate‐and‐fire synaptic plasticity synapses. External stimuli are sensitively detected filtered “artificial receptors,” encoded into spike signals via neurons,” integrated stored through synapses.” The high operational speed, low power consumption, superior scalability memristive devices make their high‐performance sensors a promising approach for creating artificial sensory systems. These extract useful from large volume raw data, facilitating real‐time This review explores recent advances memristor‐based authors begin requirements elements then present an in‐depth demonstrated devices. Finally, major challenges opportunities development discussed.

Язык: Английский

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Homochiral Chemistry Strategy to Trigger Second-Harmonic Generation and Dual Dielectric Switches

Inorganic Chemistry, Год журнала: 2023, Номер 62(29), С. 11701 - 11707

Опубликована: Июль 10, 2023

Switchable materials have attracted enormous interest due to their promising applications in important fields such as sensing, electronic components, and information storage. Nevertheless, obtaining multifunctional switching is still a problem worth investigating. Herein, by incorporating (Rac-, L-, D-2-amino-1-propanol) the templating cation, we obtained D-HTMPA)CdCl3 (HTMPA = 1-hydroxy-N, N, N-trimethyl-2-propanaminium). We adopted chiral chemistry strategy that causes (Rac-HTMPA)CdCl3 central symmetric space crystallize group. Based on modulation of homochiral strategy, (L-, shows dual phasic transition at 269 326 K switchable second-harmonic generation response. In addition, material exhibit stable dielectric (SHG) switches. This work provides an approach exploring materials.

Язык: Английский

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