11 datasets found

MNIST handwritten data set used for training and testing the proposed method, containing 60,000 examples for training and 10,000 samples for testing.

EEG data set used for training and testing the proposed method, containing 480/468 examples per class in the training set and 66/95 examples per class in the testing set.

The proposed TMS-crossbar array that integrates the near-sensor neural computation for tactile sensing.

The proposed network contains clustering layers, based on earlier work by Afshar et al., 2020 and Bethi et al., 2022, with an introduction of TD-error modulation and eligibility...

A memristor model using three OTAs and two MOS capacitors.

A meminductor model using three OTAs and two MOS capacitors.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used various tasks such as Associative Retrieval Task, Maze Exploration, Atari...

The dataset used in the paper is a neuromorphic dataset, specifically the DVS128 Gesture dataset, CIFAR10-DVS dataset, and N-Caltech101 dataset.

The dataset used in the paper is DVSGesture, a dataset of 1,342 instances of 11 hand and arm gestures.

The dataset used in the paper is CIFAR10-DVS, a dataset of 10,000 event streams of 128x128 images.

Diffusion processes are ubiquitous. In human brains, the membrane potential of neurons is affected by stochastic noise1-3, which can be described by the Langevin equation in...