teaching/scientificComputing
Archived
3
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

Update 'projects/project_face_selectivity/face_selectivity.tex'

Browse Source
This commit is contained in:
marius 2019-01-14 15:56:03 +01:00
parent 305cb64acc
commit 8fbaf3fb07
1 changed files with 9 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

12
projects/project_face_selectivity/face_selectivity.tex
View File

@ -83,9 +83,9 @@ categories.
Now, determine the periods within which the neurons activity Now, determine the periods within which the neurons activity
deviates from the baseline activity at least by $2*\sigma$. Do deviates from the baseline activity at least by $2*\sigma$. Do
this for each object category and mark the periods in the plots in this for each object category and mark the periods in the plots in
an appropriate way. Are there also inhibitory responses? \par an appropriate way. Are there also neurons that do not repond to the
Describe qualitatively the response properties (phasic, tonic, are visual stimulation or exhibit inhibitory responses? \par
there differences between neurons and/or stimulus categories?).
\part \part
The $SI$ gives an estimate of how strong a neuron is tuned to the The $SI$ gives an estimate of how strong a neuron is tuned to the
@ -119,6 +119,12 @@ categories.
minimum SI that reaches significance when choosing minimum SI that reaches significance when choosing
$\alpha = 0.05$? Is it an all or nothing selectivity? $\alpha = 0.05$? Is it an all or nothing selectivity?
\part
Take a look at the time resolved firing rates of the identified
face-selective neurons and examine their reponse properties. What is
their response-latency (choose an appropriate visualisation), is their
response phasic or tonic.
\end{parts} \end{parts}
\end{questions} \end{questions}