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MNIST handwritten data set
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
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. -
TMS-Crossbars with Tactile Sensing
The proposed TMS-crossbar array that integrates the near-sensor neural computation for tactile sensing. -
A Neuromorphic Architecture for Reinforcement Learning from Real-Valued Obser...
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... -
Memristor Model using Three OTAs and Two MOS Capacitors
A memristor model using three OTAs and two MOS capacitors. -
Meminductor Model using Three OTAs and Two MOS Capacitors
A meminductor model using three OTAs and two MOS capacitors. -
DVS128 Gesture, CIFAR10-DVS, N-Caltech101
The dataset used in the paper is a neuromorphic dataset, specifically the DVS128 Gesture dataset, CIFAR10-DVS dataset, and N-Caltech101 dataset. -
DVSGesture
The dataset used in the paper is DVSGesture, a dataset of 1,342 instances of 11 hand and arm gestures. -
CIFAR10-DVS
The dataset used in the paper is CIFAR10-DVS, a dataset of 10,000 event streams of 128x128 images. -
Voltage-Controlled Magnetoelectric Devices for Neuromorphic Diffusion Process
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...
