Medical imaging has become an essential tool for identifying and treating neurological conditions. Traditional deep learning (DL) models have made tremendous advances in neuroimaging analysis; however
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
Dataset is derived from recordings of internal signals from a RISC-V processor during execution of various workloads, along with spike trains generated from the same, created to investigate the applic
Data used for paper Higgins, I., Stringer, S. and Schnupp, J. (2016). Unsupervised Learning of Temporal Features for Word Categorization in a Spiking Neural Network Model of the Auditory Brain. PLOS O
This dataset supports a study on voltage-driven magneto-ionic control of magnetization in CoFeN thin films, aimed at enabling energy-efficient, neuromorphic-inspired...