Tags: Neuroscience

All Categories (1-20 of 23)

  1. A genetic labeling system to study dendritic spine development in zebrafish

    2022-08-15 18:46:22 | Datasets | Contributor(s): Elisabeth C DeMarco, George R Stoner, Estuardo Robles | doi:10.4231/0BQQ-DV64

    We have developed a genetic labeling system in zebrafish to enable high resolution in vivo imaging of dendritic spine dynamics during larval development.

    https://purr.purdue.edu/publications/4063

  2. A Multi-state Model of the CaMKII Holoenzyme using MCell 3.3

    2019-03-07 14:18:02 | Datasets | Contributor(s): Matthew C Pharris, Tamara L Kinzer-Ursem | doi:10.4231/MBPK-D277

    This model uses a specialized rule-based syntax in MCell 3.3 to model the twelve-subunit CaMKII holoenzyme without inducing combinatorial explosion. The model allows us to explore the regulation of CaMKII activation and autophosphorylation.

    https://purr.purdue.edu/publications/3138

  3. A Multi-state Model of the CaMKII Holoenzyme using MCell 3.3

    2019-07-27 20:25:41 | Datasets | Contributor(s): Matthew C Pharris, Tamara L Kinzer-Ursem | doi:10.4231/MBPK-D277

    This model uses a specialized rule-based syntax in MCell 3.3 to model the twelve-subunit CaMKII holoenzyme without inducing combinatorial explosion. The model allows us to explore the regulation of CaMKII activation and autophosphorylation.

    https://purr.purdue.edu/publications/3138

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

    2018-02-15 20:47:41 | Datasets | Contributor(s): Matthew C Pharris, Tamara L. Kinzer-Ursem | doi:10.4231/R7ST7N11

    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...

    https://purr.purdue.edu/publications/2926

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

    2018-07-27 18:46:11 | Datasets | Contributor(s): Matthew C Pharris, Tamara L. Kinzer-Ursem | doi:10.4231/R7ST7N11

    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...

    https://purr.purdue.edu/publications/2926

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

    2017-09-15 15:14:52 | Datasets | Contributor(s): Haiguang Wen, Junxing Shi, Yizhen Zhang, Kun-Han Lu, Jiayue Cao, Zhongming Liu | doi:10.4231/R7SF2TCW

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

    https://purr.purdue.edu/publications/2809

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

    2017-09-15 13:24:22 | Datasets | Contributor(s): Haiguang Wen, Junxing Shi, Yizhen Zhang, Kun-Han Lu, Jiayue Cao, Zhongming Liu | doi:10.4231/R71Z42KK

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

    https://purr.purdue.edu/publications/2808

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

    2017-09-15 13:28:40 | Datasets | Contributor(s): Haiguang Wen, Junxing Shi, Yizhen Zhang, Kun-Han Lu, Jiayue Cao, Zhongming Liu | doi:10.4231/R7X63K3M

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

    https://purr.purdue.edu/publications/2805

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

    2017-09-18 19:45:42 | Datasets | Contributor(s): Haiguang Wen, Junxing Shi, Yizhen Zhang, Kun-Han Lu, Jiayue Cao, Zhongming Liu | doi:10.4231/R7NS0S1F

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

    https://purr.purdue.edu/publications/2806

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

    2017-09-15 14:43:12 | Datasets | Contributor(s): Haiguang Wen, Junxing Shi, Yizhen Zhang, Kun-Han Lu, Jiayue Cao, Zhongming Liu | doi:10.4231/R7J101BV

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

    https://purr.purdue.edu/publications/2807

  11. fMRI Data for Human Subjects During Musical Perception and Imagery

    2018-01-05 20:39:30 | Datasets | Contributor(s): Yizhen Zhang, Gang Chen, Haiguang Wen, Kun-Han Lu, Zhongming Liu | doi:10.4231/R7W957B3

    This fMRI dataset includes the original stimuli and the BOLD fMRI responses for a musical imagery study.

    https://purr.purdue.edu/publications/2879

  12. Input from torus longitudinalis drives binocularity and spatial summation in zebrafish optic tectum

    2021-12-13 21:52:59 | Datasets | Contributor(s): Estuardo Robles | doi:10.4231/STQE-9A91

    In this study we demonstrate that torus longitudinalis feedback projections to tectum drive binocular integration and spatial summation in a defined tectal circuit. These findings reveal a novel role for the zebrafish torus longitudinalis.

    https://purr.purdue.edu/publications/3900

  13. Laboratory of Integrated Brain Imaging

    As part of the Weldon School of Biomedical Engineering and the School of Electrical and Computer Engineering at Purdue University, the Laboratory of Integrated Brain...

    https://purr.purdue.edu/groups/libilab

  14. Population-specific brain atlases for early-to-middle adolescent collision-sport athletes

    2019-11-05 20:18:55 | Datasets | Contributor(s): Yukai Zou, Wenbin Zhu, Ho-Ching Yang, Thomas M Talavage, Joseph V Rispoli | doi:10.4231/RTXE-0Q70

    Population-specific brain atlases for early-to-middle adolescent collision-sport athletes in the longitudinal database of Purdue Neurotrauma Group, including cortical and white matter parcellations, T1-weighted templates, and a DTI template.

    https://purr.purdue.edu/publications/3096

  15. Population-specific brain atlases for early-to-middle adolescent collision-sport athletes

    2020-07-31 20:01:31 | Datasets | Contributor(s): Yukai Zou, Wenbin Zhu, Ho-Ching Yang, Pratik Kashyap, Apekshya Chhetri, Thomas M Talavage, Joseph V Rispoli | doi:10.4231/RTXE-0Q70

    Population-specific brain atlases for early-to-middle adolescent collision-sport athletes in the longitudinal database of Purdue Neurotrauma Group, including cortical and white matter parcellations, T1-weighted templates, and a DTI template.

    https://purr.purdue.edu/publications/3096

  16. Population-specific brain atlases for early-to-middle adolescent collision-sport athletes

    2020-10-27 22:13:02 | Datasets | Contributor(s): Yukai Zou, Wenbin Zhu, Ho-Ching Yang, Pratik Kashyap, Apekshya Chhetri, Thomas M Talavage, Joseph V Rispoli | doi:10.4231/RTXE-0Q70

    Population-specific brain atlases for early-to-middle adolescent collision-sport athletes in the longitudinal database of Purdue Neurotrauma Group, including cortical and white matter parcellations, T1-weighted templates, and a DTI template.

    https://purr.purdue.edu/publications/3096

  17. Population-specific brain atlases for early-to-middle adolescent collision-sport athletes

    2019-09-10 16:31:14 | Datasets | Contributor(s): Yukai Zou, Wenbin Zhu, Ho-Ching Yang, Thomas M Talavage, Joseph V Rispoli | doi:10.4231/RTXE-0Q70

    Population-specific brain atlases for early-to-middle adolescent collision-sport athletes in the longitudinal database of Purdue Neurotrauma Group, including cortical and white matter parcellations, T1-weighted templates, and a DTI template.

    https://purr.purdue.edu/publications/3096

  18. Repeated Free-Viewing of a Natural Movie Stimulus Using fMRI

    2017-10-03 17:53:09 | Datasets | Contributor(s): Kun-Han Lu, Lauren Kelly Marussich, Haiguang Wen, Shao-Chin Hung, Zhongming Liu | doi:10.4231/R71V5C4T

    Video-fMRI dataset acquired by the Laboratory of Integrated Brain Imaging (LIBI, https://engineering.purdue.edu/libi) at Purdue University.

    https://purr.purdue.edu/publications/2830

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

    2017-09-24 21:22:47 | Datasets | Contributor(s): Haiguang Wen, Junxing Shi, Yizhen Zhang, Kun-Han Lu, Jiayue Cao, Zhongming Liu | doi:10.4231/R7V98675

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

    https://purr.purdue.edu/publications/2816

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

    2017-11-17 19:16:53 | Datasets | Contributor(s): Haiguang Wen, Junxing Shi, Yizhen Zhang, Kun-Han Lu, Jiayue Cao, Zhongming Liu | doi:10.4231/R7V98675

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

    https://purr.purdue.edu/publications/2816

The Purdue University Research Repository (PURR) is a university core research facility provided by the Purdue University Libraries and the Office of the Executive Vice President for Research and Partnerships, with support from additional campus partners.