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
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
Repeated Free-Viewing of a Natural Movie Stimulus Using fMRI
10.4231/R71V5C4T
Haiguang Wen
,
Kun-Han Lu
,
Lauren Kelly Marussich
,
Shao-Chin Hung
,
Zhongming Liu
10/06/2017
Video-fMRI dataset acquired by the Laboratory of Integrated Brain Imaging (LIBI, https://engineering.purdue.edu/libi) at Purdue University.
Biomedical Engineering fMRI Intra-Subject Reproducibility LIBI movie stimuli natural vision Neuroscience
Source code for Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision
10.4231/R7N58JJ3
Haiguang Wen
,
Jiayue Cao
,
Junxing Shi
,
Kun-Han Lu
,
Yizhen Zhang
,
Zhongming Liu
11/17/2017
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
fMRI Data for Human Subjects During Musical Perception and Imagery
10.4231/R7W957B3
Gang Chen
,
Haiguang Wen
,
Kun-Han Lu
,
Yizhen Zhang
,
Zhongming Liu
01/05/2018
This fMRI dataset includes the original stimuli and the BOLD fMRI responses for a musical imagery study.
Biomedical Engineering fMRI Inter-Session Functional Connectivity Intra-Subject Reproducibility Music Imagery 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
A Non-parametric Bayesian Model for Joint Cell Clustering and Cluster Matching: Identification of Anomalous Sample Phenotypes with Random Effects.
10.4231/R7KK98PG
Bartlomiej P. Rajwa , Ferit Akova , Halid Ziya Yerebakan , Murat Dundar
09/03/2014
The manuscript presents a non-parametric Bayesian algorithm called ASPIRE (Anomalous Sample Phenotype Identification with Random Effects) able to identify phenotypic differences across batches of cytometry samples in the presence of random effects
AML Bayesian Biomedical Engineering BMC Bioinformatics Computer Science cytometry Dirichlet process Gaussian mixture model Interdisciplinary Research Life Sciences random effects
Changes in Lipid Profile and SOX-2 Expression in RM-1 Cells after Co-Culture with Preimplantation Embryos or with Deproteinated Blastocyst Extracts
10.4231/RVM1-G302
Bennett D. Elzey
,
Bruce R. Cooper
,
Christina R. Ferreira
,
Gregory M. Cresswell
,
Judy E. Hallett
,
Nicolas Gutierrez
,
Wen-Hung Wang
03/08/2022
The embryonic environment can modify cancer cell metabolism, and it is reported to induce the loss of tumorigenic properties and even affect the differentiation of cancer cells into normal tissues. The cellular mechanisms related to this...
Biomedical Engineering cancer cell metabolism embryonic environment lipid profiling RM-1 cells SOX-2 gene expression
Error-State Kalman Filter for Online Evaluation of Ankle Angle
10.4231/X00Q-YW81
Ahmed Khaled Soliman
,
Andres Torres
,
Guilherme A. Ribeiro
,
Mo Rastgaar
05/04/2022
Raw Data for an Error-State Kalman Filter (ESKF) for Online Evaluation of Ankle Ankle (in 2-DOF), using a 2-IMU setup.
Acceleration Biomedical Engineering Engineering Technology Matlab software Mechanical Engineering Robotics
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