Allen Institute Openscope - Sequence Learning Project
DOI:
10.48324/dandi.000617/0.250312.0130
10.48324/dandi.000617/0.250312.0130
ID: 000617
0.250312.0130
0.250312.0130
Contact Berry, Michael
File Count 1197
Size 12 TiB
Created March 12, 2025
Last update March 12, 2025
Licenses: spdx:CC-BY-4.0
Access Information: dandi:OpenAccess
Adaptive and coordinated behavior requires that an animal be able to make predictions about the near and even far future. This intuition that some neural computations should be ‘predictive’ in their character has a long history, starting with ideas about how the receptive field structure of retinal ganglion cells relate to the statistics of natural visual scenes. Ideas about predictive...
Keywords:
L2/3
L4
two-photon calcium imaging
prediction
pyramidal neurons
somata
neocortex
predictive coding
predictive processing
sequence learning
movies
Contributors
Funding information
National Institutes of Health (NIH)
- Award Number: 1 U24 NS 113646-02
Allen Institute
Assets Summary
Approach
microscopy approach; cell population imaging
Data StandardRRID:SCR_015242
Neurodata Without Borders (NWB)
Number Of Subjects
13
Variable Measured
OpticalChannel
PlaneSegmentation
ProcessingModule
ImagingPlane
TwoPhotonSeries
Measurement Technique
analytical technique
two-photon microscopy technique
surgical technique