Works matching Neuromorphic Chips
Results: 137
Deep Artificial Neural Networks and Neuromorphic Chips for Big Data Analysis: Pharmaceutical and Bioinformatics Applications.
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- International Journal of Molecular Sciences, 2016, v. 17, n. 8, p. 1313, doi. 10.3390/ijms17081313
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Resistive Switching Devices for Neuromorphic Computing: From Foundations to Chip Level Innovations.
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- Nanomaterials (2079-4991), 2024, v. 14, n. 6, p. 527, doi. 10.3390/nano14060527
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End-to-End Implementation of Various Hybrid Neural Networks on a Cross-Paradigm Neuromorphic Chip.
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- Frontiers in Neuroscience, 2021, v. 14, p. N.PAG, doi. 10.3389/fnins.2021.615279
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Darwin3: a large-scale neuromorphic chip with a novel ISA and on-chip learning.
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- National Science Review, 2024, v. 11, n. 5, p. 1, doi. 10.1093/nsr/nwae102
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Spike-based dynamic computing with asynchronous sensing-computing neuromorphic chip.
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- Nature Communications, 2024, v. 15, n. 1, p. 1, doi. 10.1038/s41467-024-47811-6
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忆阻器类脑计算芯片研究现状综述.
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- Journal of National University of Defense Technology / Guofang Keji Daxue Xuebao, 2023, v. 45, n. 1, p. 1, doi. 10.11887/J.CN.202301001
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Robust Trajectory Generation for Robotic Control on the Neuromorphic Research Chip Loihi.
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- Frontiers in Neurorobotics, 2020, v. 14, p. N.PAG, doi. 10.3389/fnbot.2020.589532
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Neuromorphic chip integrated with a large-scale integration circuit and amorphous-metal-oxide semiconductor thin-film synapse devices.
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- Scientific Reports, 2022, v. 12, n. 1, p. 1, doi. 10.1038/s41598-022-09443-y
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On-chip phonon-magnon reservoir for neuromorphic computing.
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- Nature Communications, 2023, v. 14, n. 1, p. 1, doi. 10.1038/s41467-023-43891-y
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一种类脑处理器片上网络的验证框架.
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- Computer Engineering & Science / Jisuanji Gongcheng yu Kexue, 2022, v. 44, n. 5, p. 769, doi. 10.3969/j.issn.1007-130X.2022.05.002
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Neuromorphic on-chip recognition of saliva samples of COPD and healthy controls using memristive devices.
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- Scientific Reports, 2020, v. 10, n. 1, p. N.PAG, doi. 10.1038/s41598-020-76823-7
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Implementing Tensor-Organized Memory for Message Retrieval Purposes in Neuromorphic Chips.
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- Computers (2073-431X), 2023, v. 12, n. 10, p. 189, doi. 10.3390/computers12100189
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Characterization of Adaptive Implementation of Neuromorphic Spiking Sensory Systems On-Chip with Self-X Abilities: Charakterisierung der adaptiven Implementierung von neuromorphen Spiking-Sensoriksystemen auf einem Chip mit Selbst-X-Fähigkeiten.
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- Technisches Messen, 2023, v. 90, p. 126, doi. 10.1515/teme-2023-0084
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Characterization of Adaptive Implementation of Neuromorphic Spiking Sensory Systems On-Chip with Self-X Abilities: Charakterisierung der adaptiven Implementierung von neuromorphen Spiking-Sensoriksystemen auf einem Chip mit Selbst-X-Fähigkeiten.
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- Technisches Messen, 2023, v. 90, n. 9, p. 126, doi. 10.1515/teme-2023-0084
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Pattern Training, Inference, and Regeneration Demonstration Using On‐Chip Trainable Neuromorphic Chips for Spiking Restricted Boltzmann Machine.
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- Advanced Intelligent Systems (2640-4567), 2022, v. 4, n. 8, p. 1, doi. 10.1002/aisy.202200034
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Recent Advances in Synaptic Nonvolatile Memory Devices and Compensating Architectural and Algorithmic Methods Toward Fully Integrated Neuromorphic Chips.
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- Advanced Materials Technologies, 2023, v. 8, n. 20, p. 1, doi. 10.1002/admt.202200884
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Milk–Ta 2 O 5 Hybrid Memristors with Crossbar Array Structure for Bio-Organic Neuromorphic Chip Applications.
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- Nanomaterials (2079-4991), 2022, v. 12, n. 17, p. 2978, doi. 10.3390/nano12172978
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Analysis of single layer artificial neural network neuromorphic hardware chip.
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- International Journal of Robotics & Automation (Institute of Advanced Engineering & Science), 2024, v. 13, n. 4, p. 495, doi. 10.11591/ijra.v13i4.pp495-505
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Reconfigurable field‐programmable gate array‐based on‐chip learning neuromorphic digital implementation for nonlinear function approximation.
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- International Journal of Circuit Theory & Applications, 2021, v. 49, n. 8, p. 2425, doi. 10.1002/cta.3075
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Brian2Loihi: An emulator for the neuromorphic chip Loihi using the spiking neural network simulator Brian.
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- Frontiers in Neuroinformatics, 2022, v. 16, p. 1, doi. 10.3389/fninf.2022.1015624
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A System-on-Chip Based Hybrid Neuromorphic Compute Node Architecture for Reproducible Hyper-Real-Time Simulations of Spiking Neural Networks.
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- Frontiers in Neuroinformatics, 2022, v. 16, p. 1, doi. 10.3389/fninf.2022.884033
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Memristor‐Based Neuromorphic Chips.
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- Advanced Materials, 2024, v. 36, n. 14, p. 1, doi. 10.1002/adma.202310704
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Reconfigurable Spike Routing Architectures for On‐Chip Local Learning in Neuromorphic Systems.
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- Advanced Materials Technologies, 2019, v. 4, n. 1, p. N.PAG, doi. 10.1002/admt.201800345
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An On-Chip Learning Method for Neuromorphic Systems Based on Non-Ideal Synapse Devices.
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- Electronics (2079-9292), 2020, v. 9, n. 11, p. 1946, doi. 10.3390/electronics9111946
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Solving Overlapping Pattern Issues in On-Chip Learning of Bio-Inspired Neuromorphic System with Synaptic Transistors.
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- Electronics (2079-9292), 2020, v. 9, n. 1, p. 13, doi. 10.3390/electronics9010013
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Foreword to the Special Issue on Deep Learning and Neuromorphic Chips.
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- Applied Sciences (2076-3417), 2022, v. 12, n. 21, p. 11189, doi. 10.3390/app122111189
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On-Chip Adaptive Implementation of Neuromorphic Spiking Sensory Systems with Self-X Capabilities.
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- Chips, 2023, v. 2, n. 2, p. 142, doi. 10.3390/chips2020009
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Adaptive STDP-based on-chip spike pattern detection.
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- Frontiers in Neuroscience, 2023, p. 1, doi. 10.3389/fnins.2023.1203956
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Flexible Memristive Devices Based on Graphene Quantum-Dot Nanocomposites.
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- Computers, Materials & Continua, 2022, v. 72, n. 2, p. 3283, doi. 10.32604/cmc.2022.025931
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基于脉冲神经网络的类脑计算.
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- Journal of Beijing University of Technology, 2019, v. 45, n. 12, p. 1277, doi. 10.11936/bjutxb2018100018
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Towards Neuromorphic Learning Machines Using Emerging Memory Devices with Brain-Like Energy Efficiency.
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- Journal of Low Power Electronics & Applications, 2018, v. 8, n. 4, p. 34, doi. 10.3390/jlpea8040034
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HFNet: A CNN Architecture Co-designed for Neuromorphic Hardware With a Crossbar Array of Synapses.
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- Frontiers in Neuroscience, 2020, p. N.PAG, doi. 10.3389/fnins.2020.00907
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Artificial Intelligence and Cyberphysical Machining Systems in Digital Production.
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- Russian Engineering Research, 2020, v. 40, n. 4, p. 292, doi. 10.3103/S1068798X20040115
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Neurochips: Considerations from a neurosurgeon's standpoint.
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- Surgical Neurology International, 2021, v. 12, p. 1, doi. 10.25259/SNI_591_2020
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Synchronized stepwise control of firing and learning thresholds in a spiking randomly connected neural network toward hardware implementation.
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- Frontiers in Neuroscience, 2024, p. 1, doi. 10.3389/fnins.2024.1402646
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An overview of brain-like computing: Architecture, applications, and future trends.
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- Frontiers in Neurorobotics, 2022, v. 16, p. 1, doi. 10.3389/fnbot.2022.1041108
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Chip-In-Loop SNN Proxy Learning: a new method for efficient training of spiking neural networks.
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- Frontiers in Neuroscience, 2024, p. 1, doi. 10.3389/fnins.2023.1323121
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The Impact of New Technologies on Networking.
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- FAIMA Business & Management Journal, 2016, v. 4, n. 4, p. 33
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SpikoPoniC: A Low-Cost Spiking Neuromorphic Computer for Smart Aquaponics.
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- Agriculture; Basel, 2023, v. 13, n. 11, p. 2057, doi. 10.3390/agriculture13112057
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Neurotech for Neuroscience: Unifying Concepts, Organizing Principles, and Emerging Tools.
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- Journal of Neuroscience, 2007, v. 27, n. 44, p. 11807, doi. 10.1523/JNEUROSCI.3575-07.2007
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A Case for 3D Integrated System Design for Neuromorphic Computing and AI Applications.
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- International Journal of Semantic Computing, 2020, v. 14, n. 4, p. 457, doi. 10.1142/S1793351X20500063
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InP Quantum Dots Tailored Oxide Thin Film Phototransistor for Bioinspired Visual Adaptation.
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- Advanced Functional Materials, 2023, v. 33, n. 52, p. 1, doi. 10.1002/adfm.202305959
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Soft Biomaterials Based Flexible Artificial Synapse for Neuromorphic Computing.
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- Advanced Electronic Materials, 2022, v. 8, n. 10, p. 1, doi. 10.1002/aelm.202200449
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PAIBoard: A Neuromorphic Computing Platform for Hybrid Neural Networks in Robot Dog Application.
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- Electronics (2079-9292), 2024, v. 13, n. 18, p. 3619, doi. 10.3390/electronics13183619
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A Survey on Neuromorphic Architectures for Running Artificial Intelligence Algorithms.
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- Electronics (2079-9292), 2024, v. 13, n. 15, p. 2963, doi. 10.3390/electronics13152963
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Energy Efficiency of Machine Learning in Embedded Systems Using Neuromorphic Hardware.
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- Electronics (2079-9292), 2020, v. 9, n. 7, p. 1069, doi. 10.3390/electronics9071069
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Neuromorphic computing for content-based image retrieval.
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- PLoS ONE, 2022, v. 17, n. 4, p. 1, doi. 10.1371/journal.pone.0264364
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Utilizing the Switching Stochasticity of HfO<sub>2</sub>/TiO<sub>x</sub>-Based ReRAM Devices and the Concept of Multiple Device Synapses for the Classification of Overlapping and Noisy Patterns.
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- Frontiers in Neuroscience, 2021, v. 15, p. 1, doi. 10.3389/fnins.2021.661856
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Polaris 23: a high throughput neuromorphic processing element by RISC-V customized instruction extension for spiking neural network (RV-SNN 2.0) and SIMD-style implementation of LIF model with backpropagation STDP: Polaris 23: a high throughput neuromorphic processing element...: D. Zhao et al.
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- Journal of Supercomputing, 2025, v. 81, n. 2, p. 1, doi. 10.1007/s11227-024-06826-y
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A Conductance-Based Silicon Synapse Circuit.
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- Biomimetics (2313-7673), 2022, v. 7, n. 4, p. 246, doi. 10.3390/biomimetics7040246
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