PURR Registry

Drosophila Optical Stimulator - software files

10.4231/R7222RS4

Donald Ready , Taylor Zigon , Vikki Weake , Walter Leon-Salas , Xinping Chen

06/23/2017

This publication contains the software required to build an optical stimulator for fruit flies. The stimulator uses red and blue light-emitting diodes (LEDs) and an embedded computer to generate light at different power density levels.

Biomedical Engineering Drosophila Embedded Software Embedded System Engineering Technology Optical Stimulation Python 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

Drosophila Optical Stimulator

10.4231/R73N21JG

Donald Ready , Taylor Zigon , Vikki Weake , Walter Leon-Salas , Xinping Chen

06/27/2017

This publication contains the electronic files required to build an optical stimulator for fruit flies. The stimulator uses red and blue light-emitting diodes (LEDs) and an embedded computer to generate light at different power density levels.

Biomedical Engineering Drosophila Embedded Software Embedded System Engineering Technology Optical Stimulation Python Code

Mathematica Files: Competitive tuning: competition’s role in setting the frequency-dependence of Ca2+-dependent proteins

10.4231/R7154F7Q

Daniel Romano , Matthew C Pharris , Neal Patel , Tamara Kinzer-Ursem

09/08/2017

We study the competition among seven well-studied neuronal proteins for their common binding partner, calmodulin. We find that competition narrows and shifts the range over which proteins can be activated.

Biomedical Engineering Calcineurin Calmodulin Computational Biology Mathematica Signal Transduction

Data for Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision Tests - Subject 1

10.4231/R7X63K3M

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

09/15/2017

This is a video-fMRI dataset for subject 1 (out of three) acquired by the Laboratory of Integrated Brain Imaging (LIBI),

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

Data for Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision Tests - Subject 2

10.4231/R7NS0S1F

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

09/18/2017

This is a video-fMRI dataset for subject 2 (out of three) acquired by the Laboratory of Integrated Brain Imaging (LIBI).

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

Data for Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision Tests - Subject 3

10.4231/R7J101BV

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

09/15/2017

This is a video-fMRI dataset for subject 3 (out of three) acquired by the Laboratory of Integrated Brain Imaging (LIBI).

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

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

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

10.4231/R7SF2TCW

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 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

Datasets

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Total is 13 Results

Drosophila Optical Stimulator - software files

Visualized layer-wise visual features in deep residual neural network

Drosophila Optical Stimulator

Mathematica Files: Competitive tuning: competition’s role in setting the frequency-dependence of Ca2+-dependent proteins

Data for Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision Tests - Subject 1

Data for Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision Tests - Subject 2

Data for Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision Tests - Subject 3

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

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

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

Datasets

All fields DOI Author Subject Search

Creator

Type

Date

Total is 13 Results