PURR Registry

Data for Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision Tests - Stimuli

10.4231/R71Z42KK

Haiguang Wen , Jiayue Cao , Junxing Shi , Kun-Han Lu , Yizhen Zhang , Zhongming Liu

09/15/2017

This is a video-fMRI dataset contains the videos with stimuli acquired by the Laboratory of Integrated Brain Imaging (LIBI).

Biomedical Engineering deep learning fMRI LIBI movie stimuli natural vision neural decoding Neural encoding Neuroscience

Source code for Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision

10.4231/R7V98675

Haiguang Wen , Jiayue Cao , Junxing Shi , Kun-Han Lu , Yizhen Zhang , Zhongming Liu

09/25/2017

This document includes the main source code (Matlab or Python) related to our study.

Biomedical Engineering deep learning FMR1 LIBI Matlab natural vision neural decoding Neural encoding Neuroscience Python Code Source Code

Visualized layer-wise visual features in deep residual neural network

10.4231/R7PR7T1G

Haiguang Wen , Junxing Shi , Wei Chen , Zhongming Liu

06/29/2017

Deep residual neural network is a brain-inspired computational model. 50 layers of neuron-like computational units are stacked into a bottom-up hierarchy. Features encoded at units are visualized for intuitively understanding the internal...

Biomedical Engineering deep learning natural vision Neural encoding Object Recognition

A deep learning neural network to extract of P- and S-wave transit times from Vertical Seismic Profile (VSP)

10.4231/TT0F-KH40

Douglas R Schmitt , Oumeng Zhang

07/23/2024

This archive contains the training dataset and the Python code to train a deep learning neural net that aims to extract separately P and S wave arrival transit times from synthetic common shot gathers (CSG) in a deviated borehole geometry.

deep learning Machine Learning Machine Learning and Geophysical Signals seismic behavior

Deep Learning of CYP450 Binding of Small Molecules by Quantum Information

10.4231/SCF2-QJ02

Koushiki Basu , Nicholas Huls , Shan Lu , Tonglei Li

11/06/2024

We implemented the Manifold Embedding of Molecular Surface approach, which retains the quantum mechanical characteristics of molecules, to predict a drug's likelihood of binding to cytochrome P450 enzymes by deep learning.

deep learning Informatics Machine Learning Molecular Pharmacology

Datasets

Subject

Creator

Type

Date

Total is 15 Results

Data for Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision Tests - Stimuli

Source code for Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision

Visualized layer-wise visual features in deep residual neural network

A deep learning neural network to extract of P- and S-wave transit times from Vertical Seismic Profile (VSP)

Deep Learning of CYP450 Binding of Small Molecules by Quantum Information

Datasets

All fields DOI Author Subject Search

Subject

Creator

Type

Date

Total is 15 Results

Data for Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision Tests - Stimuli

Source code for Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision

Visualized layer-wise visual features in deep residual neural network

A deep learning neural network to extract of P- and S-wave transit times from Vertical Seismic Profile (VSP)

Deep Learning of CYP450 Binding of Small Molecules by Quantum Information