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Bifurcation enhances temporal information encoding in the olfactory periphery
The dataset used in the paper to study the effect of bifurcation on temporal information encoding in the olfactory periphery. -
IoT Device Identification Dataset
The dataset is used for IoT device identification task. It contains JSON documents describing IoT devices. -
Processing of incomplete images by (graph) convolutional neural networks
We investigate the problem of training neural networks from incomplete images without replacing missing values. -
Silicon-photonic neural networks under uncertainties
The dataset used in this paper is a silicon-photonic neural network (SPNN) with two hidden layers and 1374 tunable-thermal-phase shifters. -
No-Transaction Band Network: A Neural Network Architecture for Efficient Deep...
The dataset used in the paper is a collection of European and lookback options with various parameters. -
MNIST, CIFAR10, and CIFAR100 datasets
The dataset used in this paper is the MNIST, CIFAR10, and CIFAR100 datasets. -
Model of Learning in C. elegans
A mathematical model of the fundamental roots of learning mechanisms within the brain of Caenorhabditis elegans. -
Not specified
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a combination of datasets from the scikit-learn library and the UCI machine... -
nGraph-HE2
nGraph-HE2: A High-Throughput Framework for Neural Network Inference on Encrypted Data -
Spike Train Data from LIF Neuron Model
The dataset used in this paper is a collection of spike train data from a leakage integrate-and-fire (LIF) neuron model. The data is generated by applying different pulse inputs... -
Global Neural CCG Parsing with Optimality Guarantees
Global Neural CCG Parsing with Optimality Guarantees -
Synthetic dataset for causal learning
Synthetic dataset for learning causal models using neural networks. -
Radar signal deinterleaving dataset
Radar signal deinterleaving dataset based on semantic segmentation with neural network -
Neural spike train data
The dataset is used to test the proposed tree-structured recurrent switching linear dynamical systems (TrSLDS) model. -
FitzHugh-Nagumo
The dataset is used to test the proposed tree-structured recurrent switching linear dynamical systems (TrSLDS) model. -
Size and Width of the Decoder of a Boolean Threshold Autoencoder
The dataset is used to study the size and width of autoencoders consisting of Boolean threshold functions. -
Synthetic Neural Data
The dataset used in this paper is a synthetic neural data generated using the Arneodo system.
