Is there a spatial bias in average rate maps?

CYHSM / neuroai_hackathon

Code sharing for NeuroAI hackathon April 2021

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Is there a spatial bias in average rate maps? #4

Open self-supervisor opened 3 years ago

self-supervisor commented 3 years ago

I am on this atm

CYHSM commented 3 years ago

All cells by mouse identity:

Gaussian smoothing (std=1) PROBABLY WRONG

Unsmoothed: PROBABLY WRONG

From original ratemap field:

EDIT: First two ratemaps are wrong. The problem was in taking only the positions where a spike occurred as input to calculate the occupancy. There are two positions (positions_x & trajectory_x). The latter includes all positions. Gaussian smoothing (std=2): Gaussian smoothing (std=1): Unsmoothed: Normalized ratemaps: Normalized non smoothed:

self-supervisor commented 3 years ago

confirmed rate maps looked the same

self-supervisor commented 3 years ago

now I am going to group by tetrode now

CYHSM commented 3 years ago

Best grid cell for each animal:

Based on grid score in https://github.com/rhayman/ephysiopy

Same based on original firing maps: