PURR Registry

Animal Model Dependent Response to Pentagalloyl Glucose in Murine Abdominal Aortic Injury

10.4231/1FQ0-P419

Craig Goergen , Elizabeth Niedert , Ender Finol , Jennifer Anderson , Renxiang Tang , Riley Holloway , Sourav Patnaik , Vangelina Osteguin

01/12/2021

This dataset accompanies the Journal of Clinical Medicine article by the same name (https://doi.org/10.3390/jcm10020219) and includes all data discussed therein. Please contact Craig Goergen with any questions at cgoergen@purdue.edu.

abdominal aortic aneurysms Biomedical Engineering elastin pentagalloyl glucose ultrasound

Competitive Tuning of Ca2+/Calmodulin-Activated Proteins Provides a Compensatory Mechanism for AMPA Receptor Phosphorylation in Synaptic Plasticity

10.4231/R7ST7N11

Matthew C Pharris , Tamara L. Kinzer-Ursem

02/16/2018

Code for the basic 4-state competitive binding model that builds on previous work by incorporating an additional competitor for calmodulin along with a number of downstream proteins. Also include is sample code for global sensitivity analysis...

Biomedical Engineering Calmodulin Neuroscience

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

Drosophila Optical Stimulator - hardware files

10.4231/R75T3HHJ

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

06/23/2017

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 System Engineering Technology Light-Emitting Diode Open Hardware Optical Stimulation

Datasets

Subject

Creator

Type

Date

Total is 44 Results

Animal Model Dependent Response to Pentagalloyl Glucose in Murine Abdominal Aortic Injury

Competitive Tuning of Ca2+/Calmodulin-Activated Proteins Provides a Compensatory Mechanism for AMPA Receptor Phosphorylation in Synaptic Plasticity

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

Drosophila Optical Stimulator - hardware files

Datasets

All fields DOI Author Subject Search

Subject

Creator

Type

Date

Total is 44 Results