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 neural network, leaky integrate-and-fire neuron, memristor, neuromorphic, synaptic plasticity, axonal delay, silicon neuron, analog VLSI, Hebbian learning and spiking neural.
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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])
Abstract: Disclosed are a temporal kernel device, a temporal kernel computing system comprising same, and a method for operating the device and system. The disclosed temporal kernel device may comprise one or more temporal kernel cell structures, wherein each of the temporal kernel cell structures may comprise a first nonvolatile memristor, and a second nonvolatile memristor and a capacitor connected in parallel to each other, wherein the second nonvolatile memristor and the capacitor connected in paralle[...]
Our summary: Temporal kernel device with cell structures comprising nonvolatile memristors and capacitors connected in parallel and series.
temporal kernel device, temporal kernel computing system, method, operating device
Patent
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
