Conjunto de datos de: Packet information encoding in a cerebellum-like circuit.
DATA FILES These complementary files contain 3 sets of data (*.mat files) and 6 processing codes (*.m files) supporting our results. The data are binary files in “matlab/octave format”. The codes can be opened with any text reader (for example notepad of Windows). Two of these codes are ad hoc funct...
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| Format: | dataset |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://doi.org/10.60895/redata/BRG5OP |
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| Summary: | DATA FILES These complementary files contain 3 sets of data (*.mat files) and 6 processing codes (*.m files) supporting our results. The data are binary files in “matlab/octave format”. The codes can be opened with any text reader (for example notepad of Windows). Two of these codes are ad hoc functions: JSdistance.m and comparison.m. The other 3 are the codes for data processing: analysis_without_object.m, makefig5.m, and step_analysis.m. PROCEDURE FOR REPRODUCING THE RESULTS OUT OF THE POINT PROCESSES Please after download, make a separate directory in your computer, move all data and code files to it.Then you can e run all processes typing 'automaticrun' in the prompt. The computer will do everything without any other required maneouver. Otherwise make two additional directories inside the main directory; naming them transient and figures.Then you can run the different codes separately as ‘m functions’ just typing in the console the names of the three main files mentioned above. This will let you to reproduce the results from the data files. It will also save different partially processed files in the folder 'transient', and save the draft figures (in Matlab/Octave) format in the folder 'figures' and it will also display tables and comments in the console. Content of the data files is explained next. BASIC PROCESSING Contains the file 'data_without_object.mat' that will be used by the function 'analysis_without_object.m' and will perform the cross-covariance, the hierarchical cluster analysis, and the analysis of unit location within the electrosensory lobe. “Data_without_object.mat” contains two cells corresponding to the spike timestamps and the EOD timestamps and a variable containing the unit locations. MOVEMENT PROCESSING The file 'moving.mat' will be used by the function 'makefig5.m' and will show the figures for analysis of movement. “Moving.mat” contains 11 cells and one variable with the titles of the figures. The cells Xforward, Yforward, Xbackward, Ybackward, contain the smoothed position of the plotter for each EOD when the object was moved from rostral to caudal or from caudal to rostral respectively. The cells distanceforward, and distancebackward contains the calculated distance traveled along the skin in either direction calculated using the Pithagoric rule (i.e. the distance traveled between two time stamps equal to the square root of the sum of the squares of the distances traveled along each axes of the plotter). The variable 'EODbaseline' is the timing of the EOD in the absence of objects. The cell Spike_Latency_backward and Spike_Latency_forward show the spike time stamps after every EOD when the object was moved in either direction and the cells Spike_Latency_baseline and EOD baseline correspond to these latencies when the fish is resting without object. STEP PROCESSING The file 'stepdata.mat' will be used by the function step_analysis.m and will show the figures in the folder figures and the tables for analysis of the effects of steps in amplitude on spike rate and spike postEOD distribution. Contains two cells and two variables. The cells UP and DO contain the files corresponding to 32 units explored with increasing and decreasing steps respectively. The cell for each unit is a matrix with one dimension of 51 corresponding to the EOD order from -25 EODs before the step increment to the 25 EODS after the step increment. The other dimension contains the spike time stamps corresponding to each ordinal EOD in any trial (i.e. time stamps corresponding to every ordinal EOD pooled from all trials). N corresponds to the number of trials and Type correspond to the unit type in the same order as in the other variables. In Type, the code 1 corresponds to sharp monomodal units, 2 corresponds to deeply inhibited units, 3 corresponds to broad monomodal units, 4 corresponds to mildly inhibited units, 5 correspond to bimodal units and 6 corresponds to trimodal units. |
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