| 1234567891011121314151617181920212223242526272829303132333435363738394041 |
- Data Guide: Cerebellar Activity Predicts Vocalization in Fruit Bats
- This repository contains data collected from cerebellar recordings in fruit-eating bats during the production of echolocation and social calls. The data is structured into various Matlab files, with the details of each dataset and its specific parameters explained below.
- 1. Frequency Tuning LFP
- This dataset includes Local Field Potentials (LFP) data captured from 224 channels, organized by stimulus level and frequency.
- - ft-P2P (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.
- - 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.
- 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: Data for classifying spiking responses using Support Vector Machines (SVM).
- - 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: Data for classifying LFP responses using SVM.
- - 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 Matlab files.
|
