Tags: Neuroscience

More tags

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. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

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

    2019-01-11 18:17:34 | 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

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.