From 75c6c63a3c7dfb2f4a904891140336f42cd90725 Mon Sep 17 00:00:00 2001 From: marius Date: Mon, 14 Jan 2019 13:25:07 +0100 Subject: [PATCH] Update 'projects/project_face_selectivity/face_selectivity.tex' --- projects/project_face_selectivity/face_selectivity.tex | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/projects/project_face_selectivity/face_selectivity.tex b/projects/project_face_selectivity/face_selectivity.tex index b6ff677..029eae7 100644 --- a/projects/project_face_selectivity/face_selectivity.tex +++ b/projects/project_face_selectivity/face_selectivity.tex @@ -14,7 +14,6 @@ \section{Estimating the face-selectivity index (FSI) of neurons} - In the temporal lobe of primates you can find neurons that respond selectively to a certain type of object category. You may have heard stories about the famous grandmother neurons which are supposed to @@ -41,8 +40,9 @@ categories. bodies) and averted and directed faces of humans and rhesus monkeys. Each \texttt{.mat}-file contains the data of one neuron which was recorded during multiple trials. Spike times are given in - ms relative to trial onset. Each trial consists of 400 ms of - baseline recording (presentation of white noise) followed by 400 ms + ms relative to trial onset. The field \texttt{spiketimes} contains + cells that contain the the data of the trails. Each trial consists of + 400 ms of baseline recording (presentation of white noise) followed by 400 ms of stimulus presentation. Each trial belongs to one object category, trial identities can be found in the \texttt{*\_trials}-fields (9 fields).