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neuromorphic engineering

GeneTech 知识引擎共收录 1827 篇相关科研实体，横跨 28 个垂直领域。数据来自 OpenAlex、arXiv、Crossref、PubMed、Europe PMC 等公开学术源，全部可溯源到原文。

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代表性文献（按质量分排序，前 60 条）

• Engineering a Biological Neural Network for Neuromorphic Computing
  2026 · 生物计算 · Abstract We introduce a Bio-adaptive Processing Unit (BPU) based on a two-reservoir microtunnel Brain-on-Chip with electrophysiological readout. We fabricated and validated three independent devices, demonstrating that h…
• Neuromorphic Near-Sensor and In-Sensor Computing Enabled by Next-Generation Material-Based Sensors.
  2026 · 生物计算 · The massive influx of continuous, real-time environmental data demands highly energy-efficient and low-latency sensory processing. Conventional artificial sensory systems are limited by severe data transfer overhead issu…
• Sustainable Synaptic Device with Two-Dimensional Ferroelectric Materials for Neuromorphic Computing.
  2026 · 生物计算 · To overcome the coming big-data era, significant efforts are needed to implement neuromorphic computing that mimics the functional and structural features of the human brain using electronic devices. Repeated updates mim…
• A Bilayer Rare-Earth/High-κ Oxide Memristor for Energy-Efficient Neuromorphic Intelligence.
  2026 · 生物计算 · The growing demand for brain-inspired computing systems has intensified research into energy-efficient, scalable, and adaptive hardware that mimics biological synaptic behavior. Neuromorphic memristor devices, which inte…
• Amorphous to Crystalline Transition and Indium-Vacancy Mediated Synaptic Functionality With Ultralow Energy Consumption in γ-Phase Indium (III) Selenide.
  2026 · 生物计算 · An optoelectronic synapse (OES) is a key component for brain-inspired computing and holds great promise towards energy-efficient computation, where energy consumption remains one of the key challenges. Herein, we report …
• A Reconfigurable Memristive Spiking Neuron Enabling Advanced Neuromorphic Computing.
  2026 · 生物计算 · Biological neurons exhibit internal complexity that enables a variety of spiking behaviors, complex encoding strategies, and the possibility of advanced networks that underpin cognitive brain functions. Neuromorphic comp…
• Low-Power Memristor for Neuromorphic Computing: From Materials to Applications
  2025 · 生物计算 · As an emerging memory device, memristor shows great potential in neuromorphic computing applications due to its advantage of low power consumption. This review paper focuses on the application of low-power-based memristo…
• Mechanical Properties Analysis of Flexible Memristors for Neuromorphic Computing.
  2025 · 生物计算 · The advancement of flexible memristors has significantly promoted the development of wearable electronic for emerging neuromorphic computing applications. Inspired by in-memory computing architecture of human brain, flex…
• Efficient AI Systems through Neuromorphic Computing: Bridging Biological Intelligence and Machine Learning
  2026 · 生物计算 · The growing computational requirement of artificial intelligence (AI) mock-ups creates challenges in energy efficacy, scalability, and inactivity. Traditional AI architectures built on von Neumann structures and experien…
• The neurobench framework for benchmarking neuromorphic computing algorithms and systems
  2025 · 生物计算 · Neuromorphic computing shows promise for advancing computing efficiency and capabilities of AI applications using brain-inspired principles. However, the neuromorphic research field currently lacks standardized benchmark…
• Versatile optoelectronic memristor based on wide-bandgap Ga2O3 for artificial synapses and neuromorphic computing
  2025 · 生物计算 · Abstract Optoelectronic memristors possess capabilities of data storage and mimicking human visual perception. They hold great promise in neuromorphic visual systems (NVs). This study introduces the amorphous wide-bandga…
• Neuromorphic computing for robotic vision: algorithms to hardware advances
  2025 · 生物计算 · Neuromorphic computing offers transformative potential for AI in resource-constrained environments by mimicking biological neural efficiency. This perspective article analyzes recent advances and future directions, advoc…
• High‐Precision Multibit Opto‐Electronic Synapses Based on ReS 2 /h‐BN/Graphene Heterostructure for Energy‐Efficient and High‐Accuracy Neuromorphic Computing
  2025 · 生物计算 · Abstract Neuromorphic computing integrates sensing, memory, and computation to surpass the von Neumann bottleneck. Opto‐electronic synapses, capable of handling both optical and electrical signals, closely emulate biolog…
• Review of Memristors for In‐Memory Computing and Spiking Neural Networks
  2025 · 生物计算 · The convergence of in‐memory computing (IMC) and neuromorphic architectures offers a promising path toward energy‐efficient, scalable artificial intelligence, particularly for edge and real‐time applications. Memristors,…
• Intelligent flexible memristors for artificial synapses and neuromorphic computing
  2025 · 生物计算 · Abstract Memristors have garnered significant attention in the field of non‐volatile memory devices due to their excellent characteristics such as miniaturization, low power consumption, high performance, and non‐volatil…
• BioRWKV: RWKV Large Model Inspired by Biological Brain Inspired
  2025 · 生物计算 · BioRWKV aims to enhance the biological plausibility and efficiency of artificial intelligence systems by developing a novel large-scale Spiking Neural Network (SNN) architecture inspired by principles from biological neu…
• Ultralow energy adaptive neuromorphic computing using reconfigurable zinc phosphorus trisulfide memristors
  2025 · 生物计算 · Reconfigurable devices enable adaptive neuromorphic computing by dynamically allocating circuit resources. However, integrating diverse functionalities with ultralow energy consumption in a single device remains challeng…
• Ultrafast neuromorphic computing driven by polariton nonlinearities
  2025 · 生物计算 · Abstract Neuromorphic computing offers a promising approach to artificial intelligence by mimicking biological neural networks to perform complex tasks efficiently. While software-based simulations have demonstrated the …
• Rapid learning with phase-change memory-based in-memory computing through learning-to-learn
  2025 · 生物计算 · There is a growing demand for low-power, autonomously learning artificial intelligence (AI) systems that can be applied at the edge and rapidly adapt to the specific situation at deployment site. However, current AI mode…
• High-Entropy Oxide Memristors for Neuromorphic Computing: From Material Engineering to Functional Integration
  2025 · 生物计算 · High-entropy oxides (HEOs) have emerged as a promising class of memristive materials, characterized by entropy-stabilized crystal structures, multivalent cation coordination, and tunable defect landscapes. These intrinsi…
• Multifunctional Organic Materials, Devices, and Mechanisms for Neuroscience, Neuromorphic Computing, and Bioelectronics
  2025 · 生物计算 · Neuromorphic computing has the potential to overcome limitations of traditional silicon technology in machine learning tasks. Recent advancements in large crossbar arrays and silicon-based asynchronous spiking neural net…
• Integrating molecular photoswitch memory with nanoscale optoelectronics for neuromorphic computing
  2025 · 生物计算 · Abstract Photonic solutions are potentially highly competitive for energy-efficient neuromorphic computing. However, a combination of specialized nanostructures is needed to implement all neuro-biological functionality. …
• Recent Advances in Optoelectronic Synaptic Devices for Neuromorphic Computing
  2025 · 生物计算 · We explore recent advancements in optoelectronic synaptic devices across four key aspects: mechanisms, materials, synaptic properties, and applications. First, we discuss fundamental working principles, including oxygen …
• Memristor-Based Spiking Neuromorphic Systems Toward Brain-Inspired Perception and Computing
  2025 · 生物计算 · Threshold-switching memristors (TSMs) are emerging as key enablers for hardware spiking neural networks, offering intrinsic spiking dynamics, sub-pJ energy consumption, and nanoscale footprints ideal for brain-inspired c…
• Neuromorphic Computing with Memcapacitors: Advancements, Challenges, and Future Directions
  2025 · 生物计算 · Abstract Modern applications demand immense data processing and computational power, yet conventional architectures, constrained by the Von Neumann bottleneck and data presentation, struggle to meet these requirements. T…
• Neuromorphic Computing and Applications: A Topical Review
  2025 · 生物计算 · ABSTRACT Neuromorphic computers achieve energy efficiency by emulating brain structure and event‐driven processing that reduces energy consumption significantly. An increasing interest in this technology started in the i…
• Neuromorphic Reservoir Computing with Memristive Nanofluidic Diodes
  2025 · 生物计算 · High Resolution Image Download MS PowerPoint Slide Memristive systems show conductance states modulated by past electrical stimuli acting as artificial synapses. Most neuromorphic computing systems are based on solid-sta…
• Contact‐Engineered Oxide Memtransistors for Homeostasis‐Based High‐Linearity and Precision Neuromorphic Computing
  2025 · 生物计算 · Abstract Homeostasis is essential in biological neural networks, optimizing information processing and experience‐dependent learning by maintaining the balance of neuronal activity. However, conventional two‐terminal mem…
• All-optical digital logic and neuromorphic computing based on multi-wavelength auxiliary and competition in a single microring resonator
  2025 · 生物计算 · Photonic hardware implementation of spiking neural networks, regarded as a viable potential paradigm for ultra-high speed and energy efficiency computing, leverages spatiotemporal spike encoding and event-driven dynamics…
• Neuromorphic Light‐Responsive Organic Matter for in Materia Reservoir Computing
  2025 · 生物计算 · Materials able to sense and respond to external stimuli by adapting their internal state to process and store information, represent promising candidates for implementing neuromorphic functionalities and brain-inspired c…
• Advancements in flexible memristors for neuromorphic computing: Materials, mechanisms, and applications in synaptic emulation
  2025 · 生物计算 · Abstract The brain orchestrates complex physiological processes through intricate neural networks, with synapses serving as the fundamental units for inter‐neuronal communication and ensuring the efficient functioning of…
• Artificial optoelectronic synapses based on Ga 2 O 3 metal–semiconductor–metal solar‐blind ultraviolet photodetectors with asymmetric electrodes for neuromorphic computing
  2025 · 生物计算 · Abstract Research on optoelectronic synapses that can integrate both detection and processing functions is essential for the development of efficient neuromorphic computing. Here, we experimentally demonstrated an Ga 2 O…
• High Precision Conductance Modulation in CuCrP 2 S 6 Synaptic Devices for Enhanced Neuromorphic Computing
  2025 · 生物计算 · Abstract Artificial synapses are essential components for realizing neuromorphic computing at the physical level. Although numerous artificial synaptic devices have been fabricated in recent years, their performance is o…
• Harnessing Earth‐Abundant Lead‐Free Halide Perovskite for Resistive Switching Memory and Neuromorphic Computing
  2025 · 生物计算 · Abstract Non‐volatile memories are expected to revolutionize a wide range of information technologies, but their manufacturing cost is one of the top concerns researchers must address. This study presents a 1D lead‐free …
• Experimentally optimized and field validated three-dimensional electromagnetic energy harvester for smart farming applications
  2024 · 智慧农业 · Kinetic energy from vibrations emerging from mechanical systems such as machines and vehicles has been thoroughly studied as a power source in the last two decades. Numerous kinetic energy harvesters have been built to c…
• Unraveling the crystallization kinetics of the Ge2Sb2Te5 phase change compound with a machine-learned interatomic potential
  2024 · AI 驱动科学发现 · Abstract The phase change compound Ge 2 Sb 2 Te 5 (GST225) is exploited in advanced non-volatile electronic memories and in neuromorphic devices which both rely on a fast and reversible transition between the crystalline…
• Spike-based dynamic computing with asynchronous sensing-computing neuromorphic chip
  2024 · 生物计算 · By mimicking the neurons and synapses of the human brain and employing spiking neural networks on neuromorphic chips, neuromorphic computing offers a promising energy-efficient machine intelligence. How to borrow high-le…
• Beyond von Neumann Architecture: Brain‐Inspired Artificial Neuromorphic Devices and Integrated Computing
  2024 · 生物计算 · Abstract Brain‐inspired parallel computing is increasingly considered a solution to overcome memory bottlenecks, driven by the surge in data volume. Extensive research has focused on developing memristor arrays, energy‐e…
• Neuromorphic computing with spintronics
  2024 · 生物计算 · Abstract Spintronics and magnetic materials exhibit many physical phenomena that are promising for implementing neuromorphic computing natively in hardware. Here, we review the current state-of-the-art, focusing on the a…
• Crossmodal sensory neurons based on high-performance flexible memristors for human-machine in-sensor computing system
  2024 · 生物计算 · Abstract Constructing crossmodal in-sensor processing system based on high-performance flexible devices is of great significance for the development of wearable human-machine interfaces. A bio-inspired crossmodal in-sens…
• One‐Dimensional Covalent Organic Framework‐Based Multilevel Memristors for Neuromorphic Computing
  2024 · 生物计算 · Abstract Memristors are essential components of neuromorphic systems that mimic the synaptic plasticity observed in biological neurons. In this study, a novel approach employing one‐dimensional covalent organic framework…
• Ultralow-power optoelectronic synaptic transistors based on polyzwitterion dielectrics for in-sensor reservoir computing
  2024 · 生物计算 · Bio-inspired transistor synapses use solid electrolytes to achieve low-power operation and rich synaptic behaviors via ion diffusion and trapping. While these neuromorphic devices hold great promise, they still suffer fr…
• Neuromorphic intermediate representation: A unified instruction set for interoperable brain-inspired computing
  2024 · 生物计算 · Spiking neural networks and neuromorphic hardware platforms that simulate neuronal dynamics are getting wide attention and are being applied to many relevant problems using Machine Learning. Despite a well-established ma…
• 2D Reconfigurable Memory Device Enabled by Defect Engineering for Multifunctional Neuromorphic Computing
  2024 · 生物计算 · Abstract In this era of artificial intelligence and Internet of Things, emerging new computing paradigms such as in‐sensor and in‐memory computing call for both structurally simple and multifunctional memory devices. Alt…
• Ultra-low power carbon nanotube/porphyrin synaptic arrays for persistent photoconductivity and neuromorphic computing
  2024 · 生物计算 · Abstract Developing devices with a wide-temperature range persistent photoconductivity (PPC) and ultra-low power consumption remains a significant challenge for optical synaptic devices used in neuromorphic computing. By…
• Advances on MXene-Based Memristors for Neuromorphic Computing: A Review on Synthesis, Mechanisms, and Future Directions
  2024 · 生物计算 · Neuromorphic computing seeks to replicate the capabilities of parallel processing, progressive learning, and inference while retaining low power consumption by drawing inspiration from the human brain. By further overcom…
• Brain-inspired computing systems: a systematic literature review
  2024 · 生物计算 · Abstract Brain-inspired computing is a growing and interdisciplinary area of research that investigates how the computational principles of the biological brain can be translated into hardware design to achieve improved …
• Wet-Neuromorphic Computing: A New Paradigm for Biological Artificial Intelligence
  2024 · 生物计算 · As we delve into a life governed by AI, ongoing research continues to discover new forms of intelligence that are efficient and closely mimic an organism's brain in terms of performance. This article presents a new conce…
• Information Transfer in Neuronal Circuits: From Biological Neurons to Neuromorphic Electronics
  2024 · 生物计算 · The advent of neuromorphic electronics is increasingly revolutionizing the concept of computation. In the last decade, several studies have shown how materials, architectures, and neuromorphic devices can be leveraged to…
• Recent Developments on Novel 2D Materials for Emerging Neuromorphic Computing Devices
  2024 · 生物计算 · The rapid advancement of artificial intelligent and information technology has led to a critical need for extremely low power consumption and excellent efficiency. The capacity of neuromorphic computing to handle large a…
• Neuromorphic computing for modeling neurological and psychiatric disorders: implications for drug development
  2024 · 生物计算 · Abstract The emergence of neuromorphic computing, inspired by the structure and function of the human brain, presents a transformative framework for modelling neurological disorders in drug development. This article inve…
• Experimental Demonstration of Reservoir Computing with Self‐Assembled Percolating Networks of Nanoparticles
  2024 · 生物计算 · The complex self-assembled network of neurons and synapses that comprises the biological brain enables natural information processing with remarkable efficiency. Percolating networks of nanoparticles (PNNs) are complex s…
• Coupled Ferroelectric‐Photonic Memory in a Retinomorphic Hardware for In‐Sensor Computing
  2024 · 生物计算 · Abstract The development of all‐in‐one devices for artificial visual systems offers an attractive solution in terms of energy efficiency and real‐time processing speed. In recent years, the proliferation of smart sensors…
• Hydrogel-Gated FETs in Neuromorphic Computing to Mimic Biological Signal: A Review
  2024 · 生物计算 · Hydrogel-gated synaptic transistors offer unique advantages, including biocompatibility, tunable electrical properties, being biodegradable, and having an ability to mimic biological synaptic plasticity. For processing m…
• A Dual‐Modal Memory Organic Electrochemical Transistor Implementation for Reservoir Computing
  2024 · 生物计算 · Neuromorphic computing devices offer promising solutions for next-generation computing hardware, addressing the high throughput data processing demands of artificial intelligence applications through brain-mimicking non-…
• Defect-engineered monolayer MoS2 with enhanced memristive and synaptic functionality for neuromorphic computing
  2024 · 生物计算 · Two-dimensional transition metal dichalcogenides (TMDs)-based memristors are promising candidates for realizing artificial synapses in next-generation computing. However, practical implementation faces several challenges…
• Magnetoionics for Synaptic Devices and Neuromorphic Computing: Recent Advances, Challenges, and Future Perspectives
  2024 · 生物计算 · With the advent of Big Data, traditional digital computing is struggling to cope with intricate tasks related to data classification or pattern recognition. To mitigate this limitation, software-based neural networks are…
• GeTe/MoTe 2 Van der Waals Heterostructures: Enabling Ultralow Voltage Memristors for Nonvolatile Memory and Neuromorphic Computing Applications
  2024 · 生物计算 · Abstract Advanced electronic semiconducting Van der Waals heterostructures (HSs) are promising candidates for exploring next‐generation nanoelectronics owing to their exceptional electronic properties, which present the …
• Flexible TiO2-WO3−x hybrid memristor with enhanced linearity and synaptic plasticity for precise weight tuning in neuromorphic computing
  2024 · 生物计算 · Tungsten oxide (WO 3 )-based memristors show promising applications in neuromorphic computing. However, single-layer WO 3 memristors suffer from issues such as weak memory performance and nonlinear conductance variations…
• Memristive Hodgkin–Huxley Neurons with Diverse Firing Patterns for High‐Order Neuromorphic Computing
  2024 · 生物计算 · The rich firing behaviors of biological neurons enable the nervous system to execute complex computations, emulating which in hardware is advantageous for constructing advanced intelligent machines. Hodgkin–Huxley (H–H) …

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