Allen Institute Openscope - Illusion project
DOI:
10.48324/dandi.000248/0.240502.2344
10.48324/dandi.000248/0.240502.2344
ID: 000248
0.240502.2344
0.240502.2344
Contact Shin, Hyeyoung
File Count 78
Size 173.3 GiB
Created May 2, 2024
Last update May 2, 2024
Licenses: spdx:CC-BY-4.0
Access Information: dandi:OpenAccess
Much of sensory neuroscience has focused on how the brain faithfully represents sensory information. However, sensory information is often incomplete and ambiguous. Hence, the brain must rely on an internal model of the sensory world to infer a coherent percept. Illusions reveal rational mistakes in perceptual inference, yielding unique insights into the brain’s internal model. Here, we utilized...
Keywords:
perceptual inference
illusory contours
mouse
neuropixel
extracellular electrophysiology
neocortex
excitatory
inhibitory
Contributors
Suarez, Lucas
Ha, Vivian
Young, Ahrial
Caldejon, Shiella
Nguyen, Katrina
Funding information
National Institutes of Health (NIH)
- Award Number: 1 U24 NS 113646-02
Allen Institute
Samsung Science and Technology Foundation
- Award Number: SSTF-BA2302-07
Seoul National University New Faculty Startup Fund
National Institutes of Health (NIH)
- Award Number: R01EY023756
National Institutes of Health (NIH)
- Award Number: U19NS107613
Related resources
Assets Summary
Approach
electrophysiological approach
optogenetic approach
Data StandardRRID:SCR_015242
Neurodata Without Borders (NWB)
Number Of Subjects
12
Variable Measured
LFP
ElectricalSeries
OptogeneticSeries
Units
ProcessingModule
Measurement Technique
multi electrode extracellular electrophysiology recording technique
signal filtering technique
spike sorting technique
analytical technique