Dataset Source: NS1 Dataset
Original Paper: "Network receptive field modeling reveals extensive integration and multi-feature selectivity in auditory cortical neurons" by Nicol S. Harper, Oliver Schoppe, Ben D. B. Willmore, Zhanfeng F. Cui, Jan W. H. Schnupp, Andrew J. King.
Papers Using the Dataset:
- "A dynamic network model of temporal receptive fields in primary auditory cortex" by M. Rahman, B. D. B. Willmore, A. J. King, N. S. Harper.
- "Measuring the performance of neural models" by O. Schoppe, N. S. Harper, B. D. B. Willmore, A. J. King, J. W. H. Schnupp.
Description of Stimuli:
- 20 clips of natural sounds (speech, ferret vocalizations, other animal vocalizations, and environmental sounds), and 12 Dynamic Random Chords (DRCs) each 5 seconds in duration.
- Clips were played in random order
- Natural sound clips were repeated 20 times, DRCs 5 times
Description of Neurons:
- Total Number of Neurons: 119
- Valid Neurons: 73
- Valid Neurons Criteria: Noise ratio < 40 (The noise ratio is given)
- Neuron Types: 549 single and multi-unit recordings from six adult pigmented ferrets (five female and one male), among which 284 were single units.
Available data:
- Needs MATLAB Data Processing. More info in the readme file in the dataset.
- Structured neuron array with 119 items. In each element:
- Sound waveform of each stimulus (y, fs).
- Spike times of each repeat of each stimulus.
- Information on the recording, on the noise ratio, etc.
Processing needed:
- Transforming the sound waveform into a 34-band spectrogram.
- Choosing 73 neurons out of 119 based on their noise ratio.
- Transforming the spike times of each repeat of each stimulus into PSTHs.
- What's been done is explained in the source paper.
- Download the data at the original dataset repository as well as the "ns1_drc_spectrograms.pt" file
- Put files (MetadateSHEnCneurons.mat + spikesandwav folder + ns1_drc_spectrograms.pt) inside the data/ folder.
- Launch
NS1_DRC_preprocessing.py. - The processed data file should appear as a pytorch file called ns1_drc_responses.pt
- You can use it right away by creating a
NS1_DRC_Dataset(...)object with the path to the data/ folder
- include a script to create the "ns1_drc_spectrograms.pt" file from the original dataset repository.
- clean this file (remove uninformative "dataset details")