家 » 有关神经形态计算的最新出版物和专利

有关神经形态计算的最新出版物和专利

人工神经网络（ANN）, 机器学习, 神经网络, 神经形态计算, 光子学, Spiking Neural Network (SNN)

Neuromorphic computing is an interdisciplinary field that designs hardware and software systems inspired by the structure and function of biological neural networks, particularly the human brain. It employs non-von Neumann architectures, wherein processors and memory are closely integrated, enabling massively parallel computation, event-driven information processing, and low-power operation. Utilizing elements such as artificial spiking neurons and synapses, neuromorphic systems mimic the brain’s mechanisms for learning, adaptation, and sensory processing.

This is our latest selection of worldwide publications and patents in english on Neuromorphic Computing, between many scientific online journals, classified and focused on neuromorphic computing, spiking 神经网络, leaky integrate-and-fire neuron, memristor, neuromorphic, synaptic plasticity, axonal delay, silicon neuron, analog VLSI, Hebbian learning and spiking neural.

出版： 没有关于此特定主题的最新消息。请尝试在上面链接的出版物数据库中进行广泛的人工搜索。

Method and apparatus for evaluating neuronal connectivity using a memristor

Patent published on the 2025-04-24 in WO under Ref WO2025085259 by PRESIDENT AND FELLOWS OF HARVARD COLLEGE [US] (Ham Donhee [us], Kim Seokjoo [us], Kim Hanju [us], Wang Jun [us])

Abstract: Methods and apparatuses are provided for evaluating a communication pathway connection. One of the methods includes generating a first voltage trace based on voltage peaks of a first node of a pair of nodes, the first voltage trace comprising a plurality of first voltage bursts over a period of time, the first voltage bursts each comprising a positive component and a negative component; generating a second voltage trace based on voltage peaks of a second node of the pair of nodes, the second vol[...]

Our summary: Evaluation of neuronal connectivity using memristor technology, methods for assessing communication pathway connection, determining strength of communication pathway based on conductance changes.

memristor, neuronal connectivity, conductance, communication pathway

Patent

Temporal kernel device, temporal kernel computing system, and method for operating device and system

Patent published on the 2025-03-06 in WO under Ref WO2025048591 by SEOUL NATIONAL UNIV R&DB FOUNDATION [KR] (Hwang Cheol Seong [kr], Jang Yoon Ho [kr], Shim Sung Keun [kr])

Neuron circuit

Patent published on the 2025-02-19 in EP under Ref EP4510043 by GUDE MICHAEL [DE] (Gude Michael [de])

Abstract: Convolutional neural networks (CNN) or spiking neural networks (SNN) are usually applied for implementation. Although CNNs can be realized purely digitally, they require a lot of energy due to the high processing power (MAC structures). SNNs can usually only be implemented with analog components and are therefore difficult to implement in circuits with a technology node below 10 nm.The present disclosure is aimed to realize electronic neurons that process pulse-width modulated signals. These neu[...]

Our summary: Implementation of electronic neurons processing pulse-width modulated signals, Advantages of combining neurons with FPGA, Configuring FPGA for forwarding signals and weight data.

Neuron circuit, Convolutional neural networks, Spiking neural networks, FPGA

Patent

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涵盖的主题： Neuromorphic computing, spiking neural network, leaky integrate-and-fire neuron, memristor, synaptic plasticity, axonal delay, silicon neuron, analog VLSI, Hebbian learning, non-von Neumann architectures, event-driven information processing, massively parallel computation, ISO/IEC 30170, IEEE 802154, IEC 61966-2-1, ISO/IEC 24765, and ISO 26262..