MoS₂-based hardware

Figshare2024-11-09 更新2026-04-28 收录

神经形态计算

类脑芯片设计

数据链接：

https://figshare.com/articles/dataset/_b_MoS_-based_hardware_b_/27642318 数据链接链接失效反馈

官方服务：

资源简介：

a 2D MoS2-based reconfigurable analog hardware that emulate synaptic, heterosynaptic, and somatic functionalities.

创建时间：

2024-11-09

NeuroMorse

神经形态计算

时态特征识别

NeuroMorse数据集是由詹姆斯库克大学科学和工程学院等机构创建的，专为神经形态学习系统基准测试设计的时态结构化数据集。该数据集将英语中最常用的50个单词转换为莫尔斯电码的尖峰序列，尽管只使用两个输入尖峰通道，但通过时态模式编码了复杂信息。数据集在多个时间尺度上具有特征层次结构，能够测试神经形态算法分解输入模式成为空间和时间层次结构的能力。该数据集旨在解决神经形态计算中的时态特征识别问题。

arXiv2025-02-28 更新310

Programmable SOENs Synapses Data

超导光电突触

神经形态计算

Accompanying data for Programmable Superconducting Optoelectronic Single-Photon Synapses with Integrated Multi-State Memory (2023) https://arxiv.org/abs/2311.05881

Figshare2024-05-24 更新50

Data_Sheet_1_SpiLinC: Spiking Liquid-Ensemble Computing for Unsupervised Speech and Image Recognition.pdf

无监督模式识别

神经形态计算

In this work, we propose a Spiking Neural Network (SNN) consisting of input neurons sparsely connected by plastic synapses to a randomly interlinked liquid, referred to as Liquid-SNN, for unsupervised

NIAID Data Ecosystem40

Data and code underlying the research of: SRIF-ADC for CIM accelerators

集成电路设计

神经形态计算

This targets neuromorphic and general-purpose arithmetic applications. A scalable and reliable integrate and fire circuit ADC (SRIF-ADC) design for CIM architectures is presented, suitable for stringe

Mendeley Data2024-06-25 更新130

Replication Data for: Ionotronic Halide Perovskite Drift‐Diffusive Synapses for Low‐Power Neuromorphic Computation

新型材料研发

神经形态计算

This dataset includes the origin files and analysis of the individual figures published in the article titled "Ionotronic Halide Perovskite Drift‐Diffusive Synapses for Low‐Power Neuromorphic Computat

DataCite Commons2025-06-10 更新50

MoS₂-based hardware

资源简介：

相关数据集