This will delete the page "Loading and description of the data"
. Please be certain.
The file data_binned_responses/cadena_ploscb_data.pkl
contains the stimuli, extracted neuron spike counts, and metadata of Cadena et al., 2019 PlosCB. For more details about the data check the paper.
Loading the data
To load the data you need python and the pickle library
import pickle
with open('binned_responses/cadena_ploscb_data.pkl', 'rb') as g:
loaded_data = pickle.load(g)
Check contents of data file
[(i,loaded_data[i].shape) for i in loaded_data]
('subject_id', (166,)), ('session_id', (166,)), ('image_ids', (7250, 1)), ('unit_id', (166,)), ('image_types', (7250, 1)), ('images', (7250, 140, 140)), ('responses', (4, 7250, 166)), ('image_numbers', (7250, 1))]
Dictionary fields
images
: The stimuli used in the paper. Array of shape (num_images, width, height)
responses
: The extracted spike count responses to those images in the same order. Array of shape (num_repetitions, num_images, num_neurons)
. Aborted trials and fewer repetitions for some sessions resulted in NaNs in this array.image_types
: Stimulus types of each image: 'original', 'conv1', conv2', conv3, or conv4. See paper for details.unit_id
: identifier of the neuronsimage_id
: identifier of the imagessession_id
: identifier of the session for each neuronsubject_id
: identifier of the monkey for each neuronrepetitions
: Number of repeates of the entire stimulus during the session for each neuron.This will delete the page "Loading and description of the data"
. Please be certain.