Skip to content. | Skip to navigation

Sections
Personal tools
You are here: Home Forum Using data sets HC3, mismatch hc3 stable vs map from LoadClusRes: ec013.157

HC3, mismatch hc3 stable vs map from LoadClusRes: ec013.157

Up to Using data sets

HC3, mismatch hc3 stable vs map from LoadClusRes: ec013.157

Posted by Vitor Lopes dos Santos at June 30. 2015

I had a similar problem of the one from the post 'hc-3 ec016.234', but not exactly the same.

 

If i run:

data.namepattern = '~/hc3/ec013.15/ec013.157/ec013.157

'

[timestamp,clus_id,map,Par]=LoadCluRes(data.namepattern,5);

 

i get the following map.

map =

     1     5     2

     2     5     3

     3     5     4

     4     5     5

     5     5     6

 

Therefore, I would expect five clusters in shank 5 in session 'ec013.157'.

However, when I checked the hc3.cell table, I could not find any cluster 6 in shank 5 (clusters list from 2 to 5, as shown below).

 

(...)

'ec013.15'    'ec013'    4    15    'EC5'

'ec013.15'    'ec013'    5    2    'CA1'

'ec013.15'    'ec013'    5    3    'CA1'

'ec013.15'    'ec013'    5    4    'CA1'

'ec013.15'    'ec013'    5    5    'CA1'

'ec013.15'    'ec013'    6    2    'CA1'

(...)

 

Further, cluster 6 from shank 5 has 4011 spikes only in session 'ec013.157'. Thus this cannot be explained as it was in the post  'hc-3 ec016.234' (neurons with less than 50 spikes are not listed).

Probably there is another exclusion criterion to the neurons be included in the hc3.cell list. Maybe a measure of cluster quality?

I would like to be sure I understand what is going on since I want to use the information of cell type in the hc3 table.

 

Thanks a lot for the help.

VĂ­tor

 

 

Powered by Ploneboard
Document Actions