Konstantin Willeke
9dae64a935
fix typo in decoding readme.
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1 year ago | |
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| Ellipse_25830-5-10.h5 | 1 year ago | |
| Ellipse_25891-7-7.h5 | 1 year ago | |
| Ellipse_26872-20-10.h5 | 1 year ago | |
| Objects_22904_3_9.h5 | 1 year ago | |
| Objects_22904_4_5.h5 | 1 year ago | |
| Objects_25830_6_5.h5 | 1 year ago | |
| Objects_25830_6_6.h5 | 1 year ago | |
| Objects_25891_12_10.h5 | 1 year ago | |
| Objects_25891_12_11.h5 | 1 year ago | |
| Objects_27802_8_17.h5 | 1 year ago | |
| README.md | 1 year ago | |
README.md
Dataset Structure
The decoding scans are provided as .h5 files. There are two types of decoding scans:
- Objects: For the object discrimation task
- Ellipse: For the detection task
The following attributes are present in each individual dataset:
- pupil_trials: mean pupil size for each trial
- shape:
n_trials,
- shape:
- class_trials: image class for each trial
- shape:
n_trials, - for Object Discrimination (i.e. Objects scans): The class reflects the object identity as well as the color of the object:
- object identity:
- object color:
- for Detection (i.e. Ellipse scans):
- image can either contain a dark ellipse in the
uvorgreenchannel, or no ellipse (noisetrials)
- image can either contain a dark ellipse in the
- shape:
- activity_trials: mean activity per neuron for each trial
- shape:
n_neurons x n_trials
- shape:
| datacite.yml | |
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| Title | State-dependent pupil dilation rapidly shifts visual feature representations |
| Authors |
Franke,Katrin;Institute for Ophthalmic Research, Tuebingen University, Tuebingen, Germany.
Willeke,Konstantin F.;Institute for Bioinformatics and Medical Informatics, Tuebingen University, Tuebingen, Germany Ponder,Kayla;Department of Neuroscience, Baylor College of Medicine, Houston, TX, US Galdamez,Mario;Department of Neuroscience, Baylor College of Medicine, Houston, TX, US Zhou,Na;Department of Neuroscience, Baylor College of Medicine, Houston, TX, US Muhammad,Taliah;Department of Neuroscience, Baylor College of Medicine, Houston, TX, US Patel,Saumil;Department of Neuroscience, Baylor College of Medicine, Houston, TX, US Froudarakis,Emmanouil;Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology Hellas, Heraklion, Greece Reimer,Jacob;Department of Neuroscience, Baylor College of Medicine, Houston, TX, US Sinz,Fabian;Department of Computer Science, Goettingen University, Goettingen, Germany Tolias,Andreas;Department of Neuroscience, Baylor College of Medicine, Houston, TX, US |
| Description | Complete dataset for the article "State-dependent pupil dilation rapidly shifts visual feature representations". |
| License | CC-BY (http://creativecommons.org/licenses/by/4.0/) |
| References |
Franke, K., Willeke, K.F., Ponder, K., Galdamez, M., Muhammad, T., Patel, S., Froudarakis, E., Reimer, J., Sinz, F., & Tolias, A.S. (2021). Behavioral state tunes mouse vision to ethological features through pupil dilation. bioRxiv. [doi:10.1101/2021.09.03.458870] (IsSupplementTo)
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| Funding |
DFG, EXC 2064/1
IARPA, D16PC00003 NIH, R01 EY026927 NIH, T32-EY-002520-37 NSF, 1707400 |
| Keywords |
Neuroscience
Systems Neuroscience Primary visual cortex Brain state Behavioral state Machine learning Deep neural networks |
| Resource Type |
Dataset |