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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. -
Simulated dataset
The dataset used in this paper is a simulated dataset with 200 variables and 50 observations. The variables are generated from a multivariate normal distribution with a... -
Linear Error-Correcting Codes Embedded in Associative Content-Addressable Mem...
Linear error-correcting codes embedded in associative content-addressable memory networks. -
Neural Variational Inference for Text Processing
Neural variational inference for text processing. -
Test dataset
A dataset of 200 samples with 1283 resolution, generated using VGrain software with a regularity of 0.73 and uniform random orientation
