Update 'README.md'

README.md

@@ -12,44 +12,46 @@
 % production of echolocation and social calls. The data is structured into various .mat files, with details of
 % each dataset and its specific parameters explained below.
 
-%% 1. Frequency Tuning LFP
+%% 1. *Frequency Tuning LFP
 % This dataset includes Local Field Potentials (LFP) data captured from 224 channels, organized by stimulus
 % level and frequency.
-%
-% Variables:
-% - ft-P2P: Local Field Potential data (224 channels x levels x frequency)
-% - besterp: Evoked response data across levels (30:15:90) and frequencies (15:5:85)
-% - bestresponse: Best frequency-band level response (BFBL) for each channel
-% - cfmt: Characteristic Frequency/Minimum Threshold for each channel (CFMT)
 
-%% 2. Frequency Tuning Spikes
+*FT_LFP:
+    * ft: Spike count (224 channels x levels x frequency)
+    * besterp: Evoked response data across levels (30:15:90) and frequencies (15:5:85)
+    * bestresponse: Best frequency-band level response (BFBL) for each channel
+    * cfmt: Characteristic Frequency/Minimum Threshold for each channel (CFMT)
+
+%% 2. *Frequency Tuning Spikes
 % This dataset contains spike count data from 224 channels, organized similarly by stimulus level and frequency.
-%
-% Variables:
-% - ft: Spike count (224 channels x levels x frequency)
-% - N2w: Peri-Stimulus Time Histogram (PSTH) data across levels (30:15:90) and frequencies (15:5:85)
-% - bestresponse: Best frequency-Best level response (BFBL) for each channel
-% - cfmt: Characteristic Frequency/Minimum Threshold for each channel (CFMT)
 
-%% 3. Vocs (Vocalization Data)
+*FT_Spikes:
+    * ft: Spike count (224 channels x levels x frequency)
+    * N2w: Peri-Stimulus Time Histogram (PSTH) data across levels (30:15:90) and frequencies (15:5:85)
+    * bestresponse: Best frequency-Best level response (BFBL) for each channel
+    * cfmt: Characteristic Frequency/Minimum Threshold for each channel (CFMT)
+
+%% 3. *Vocs (Vocalization Data)
 % This dataset provides information about the call parameters and classification data for both echo and communication calls.
-%
-% Variables:
-% - callparams:
-%    - dur2: Duration of calls, categorized by call type
-%    - pf2: Peak frequency of calls, categorized by call type
-%    - finalMatrix: Cross-correlation matrix of different call types
-%    - newClass: Identifiers for calls used in cross-correlation
-%
-% - SpikeClassifData:
-%    - Ne: Normalized echo call spike data for training the SVM
-%    - Nc: Normalized communication call spike data for training the SVM
-%    - N2: Spike count data
-%    - N3: Identifiers for spike count data
-%
-% - LFPClassifData:
-%    - echoData: LFP data during echo calls for training the SVM
-%    - commData: LFP data during communication calls for training the SVM
+
+*callparams:
+    * dur2: Duration of calls, categorized by call type
+    * pf2: Peak frequency of calls, categorized by call type
+    * finalMatrix: Cross-correlation matrix of different call types
+    * newClass: Identifiers for calls used in cross-correlation
+
+  
+
+*SpikeClassifData:
+    * Ne: Normalized echo call spike data for training the SVM
+    * Nc: Normalized communication call spike data for training the SVM
+    * N2: Spike count data
+    * N3: Identifiers for spike count data
+
+
+ *LFPClassifData:
+    * echoData: LFP data during echo calls for training the SVM
+    * commData: LFP data during communication calls for training the SVM
 
 % ---
 % This guide outlines the structure of the data, which is organized into several .mat files.