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40x40 Neuron Sheet Dataset
The dataset used in this paper is a 40x40 neuron sheet with a grid-like firing pattern, which is used to simulate the behavior of grid cells in the medial entorhinal cortex. -
Synaptic Plasticity and Learning
The dataset used in the paper describes the dynamics of synaptic plasticity and learning in neural networks. -
Glial-Neuronal Interactions
The dataset used in the paper describes the dynamics of metabolic resource transport across the network of glial cells, which can stabilize learning dynamics in neuronal networks. -
Neural Motif Spike Trains
The dataset used in this paper is a collection of spike trains from different neural motifs. -
LIF Neuron Spike Trains
The dataset used in this paper is a collection of spike trains from leaky-integrate-and-fire (LIF) neurons. -
Salamander Retina Spike Trains
The dataset used in this paper is a collection of spike trains from salamander retina. -
Neural Abstractions for Dynamical Models
The dataset used in this paper is a collection of neural abstractions for dynamical models. The dataset consists of neural networks with different activation functions... -
Discontinuous Neural Network for Non-Negative Sparse Approximation
The dataset is used to model the mammalian olfactory system and solve non-negative sparse approximation problems. -
Coexistence of fast and slow gamma oscillations
The dataset describes the coexistence of fast and slow gamma oscillations in a single inhibitory population of neurons. -
Neural Lattice Reduction
The dataset used in the paper is a randomly-generated dataset of lattices, where each lattice is represented by a basis of n vectors in R^n. -
Discovery of Dynamics via Deep Learning
The dataset used in the paper is a collection of time series data from a dynamical system, which is used to test the performance of the network-based LMMs for discovering... -
Neural Identification for Control
The proposed method for learning control for an unknown nonlinear dynamical system by formulating a system identification task. -
ExNN Dataset
ExNN dataset used for credit default prediction -
Stability Verification in Stochastic Control Systems via Neural Network
The dataset used in the paper is a discrete-time stochastic dynamical system with two novel aspects: (a) using ranking supermartingales (RSMs) to certify almost-sure asymptotic... -
Character-Aware Neural Networks for Word-Level Prediction: Do They Discover L...
Character-level features are currently used in different neural network-based natural language processing algorithms. However, little is known about the character-level patterns... -
Simulated neural networks and larval zebrafish imaging
Simulated neural networks and larval zebrafish imaging data -
Binary Neural Network Dataset
The dataset used in this paper is a binary neural network model. -
Framework for In-memory Computing based on Memristor and Memcapacitor for On-...
A comprehensive Python framework for evaluating large-scale deep neural networks (DNN) on memristive and memcapacitive crossbar systems, addressing various non-idealities. -
Depth Separation with Intra-layer Links
The dataset used in the paper is a collection of functions that can be represented by a deep network, but cannot be represented by a shallow network. -
Hamiltonian Neural Networks
The dataset is used for learning Hamiltonian neural networks.