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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... -
Spiking Associative Memory For Spatio-Temporal Patterns
The dataset is used to test the proposed learning mechanism for spiking neural networks. -
DVS128 Gesture Dataset
The DVS128 Gesture Dataset is a dataset published in 2017 which contains recordings of 29 subjects performing 11 hand gestures under 3 different illuminations. -
Spiking Neural Network Dataset
The dataset used in this paper is a spiking neural network (SNN) with 20 layers, where each layer has 2000 LIF neurons. The input spikes are Poisson trains at a target rate of... -
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. -
KTH, Weizmann, and IXMAS datasets
The KTH, Weizmann, and IXMAS datasets are used for action recognition. The KTH dataset contains 600 videos that are made up of 25 subjects performing 6 actions in 4 scenarios....
