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methods:novelobjectrecognition [2023/07/14 10:06] ohardtmethods:novelobjectrecognition [2023/07/15 15:19] (current) – external edit 127.0.0.1
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 Once the behaviour has been quantified -- i.e., the time animals spend exploring objects has been measured -- the discrimination index DI (or d) is calculated and statistically analyzed.  The index is calculated as follows: DI=[(time exploring novel object)-(time exploring familiar object)]/(time exploring both).  DI can take any value between -1 and 1. DI=0 indicates that both objects were explored the same, i.e., the absence of preference or the behaviour that would be expected by chance alone.  Di>0 indicates that the novel object was explored more than the familiar one, and DI<0 indicates the opposite.  To determine whether DI is significantly different from what would be expected by chance alone, a one-sample t-test comparing DI against 0 can be used. Once the behaviour has been quantified -- i.e., the time animals spend exploring objects has been measured -- the discrimination index DI (or d) is calculated and statistically analyzed.  The index is calculated as follows: DI=[(time exploring novel object)-(time exploring familiar object)]/(time exploring both).  DI can take any value between -1 and 1. DI=0 indicates that both objects were explored the same, i.e., the absence of preference or the behaviour that would be expected by chance alone.  Di>0 indicates that the novel object was explored more than the familiar one, and DI<0 indicates the opposite.  To determine whether DI is significantly different from what would be expected by chance alone, a one-sample t-test comparing DI against 0 can be used.
  
-Our detailed protocols are available at the SOP seciton.+Our detailed protocols are available at the SOP section.
  
    
methods/novelobjectrecognition.1689343617.txt.gz · Last modified: 2023/07/15 15:19 (external edit)