Subject
- Mechanical Engineering 4
- Bioinformatics 3
- Computer Science 2
- Interdisciplinary Research 2
- Life Sciences 2
Creator
- Zhongming Liu, 0000-0002-8773-4204 13
- Haiguang Wen 11
- Kun-Han Lu, 0000-0002-0355-8515 9
- Junxing Shi 8
- Yizhen Zhang 8
- Jiayue Cao 7
- Michael Markl 7
- Vitaliy Rayz 7
- Melissa Brindise 6
- Pavlos Vlachos, 0000-0002-8040-9257 6
Type
Date
subject: Biomedical Engineering
Total is 44 Results
Population-specific brain atlases for early-to-middle adolescent collision-sport athletes
10.4231/6BAR-6W02
Apekshya Chhetri
,
Ho-Ching Yang
,
Joseph V Rispoli
,
Pratik Kashyap
,
Thomas M Talavage
,
Wenbin Zhu
,
Yukai Zou
08/03/2020
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, a T1-weighted template, and a DTI template.
Adolescents Atlasing Biomedical Engineering Brain Informatics Morphometrics MRI Neuroscience NIfTI Spatial Normalization Statistical Methods Trauma Workflow
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
MicroCT based FE model of single bone trabeculae with tissue heterogeneity and anisotropy
10.4231/R7H41PP9
Joseph Wallace
,
Matthew R Allen
,
Max Hammond
,
Thomas Siegmund
06/26/2018
This publication contains a finite element model for the analysis of single bone trabeculae under consideration of bone tissue heterogeneity and tissue anisotropy.
Biomedical Engineering Bone Finite Element Analysis Mechanical Engineering
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
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...
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
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