IC data from Drakopoulos et al., 2024

This dataset contains the inferior colliculus (IC) recordings that were used to evaluate the ICNet model in Drakopoulos et al., 2024. The code of the ICNet model is available via https://doi.org/10.5281/zenodo.11943090 or https://github.com/fotisdr/ICNet. A Jupyter notebook is included with a simple usage example for ICNet. 

Drakopoulos, F., Sabesan, S., Xia, Y., Fragner, A. & Lesica, N. A. (2024). Modeling neural coding in the auditory brain with high resolution and accuracy. bioRxiv 2024.06.17.599294; doi: 10.1101/2024.06.17.599294

Sound

The sound_data matfile can be accessed on MATLAB or Python and contains a structure with the 4 sounds that were used in model evaluation and elicited the responses in IC_data. Each sound segment is 30 s in duration and is calibrated with a 2e-5 Pa reference:

speech_in_quiet: A speech segment from the UCL SCRIBE dataset consisting of sentences spoken by a male talker and presented at 60 dB SPL.

speech_in_noise: A speech segment from the UCL SCRIBE dataset consisting of sentences spoken by a female talker and presented at 85 dB SPL. The speech segment was mixed in hallway noise from the Microsoft Scalable Noisy Speech dataset at 0 dB SNR.

moving_ripples: Dynamic moving ripples with frequency sinusoids between 4.7 kHz and 10.8 kHz presented at 85 dB SPL.

music: Three seconds from each of 10 mixed pop songs from the musdb18 dataset presented at 75 dB SPL.

fs: The sampling rate of the sounds (24414.0625 Hz).

IC recordings

The IC_data_trial1 and IC_data_trial2 matfiles contain the IC activity elicited by each of the 4 sounds on two successive trials. Each matfile contains a structure with 7 fields:

speech_in_quiet, speech_in_noise, moving_ripples and music: Recorded neural activity for 7 animals in response to each of the 4 sounds. Each field corresponds to a matrix of size [animals x time bins x channels] that contains multi-unit spikes across time bins and channels for each of the 7 animals. Each time element of the matrix indicates the spike count in one 1.3 ms bin (exactly 32 samples of the corresponding audio). 

animals: The experimental identifier of each animal as used in the ICNet model (numbers of [3,...,9]).

channel_CFs: An [animals x channels] matrix that contains the characteristic frequencies (in Hz) of each recorded unit for each of the 7 animals.

measurement_times: An [animals x sounds] matrix that contains the relative times (in s) at which each sound was recorded during each individual IC experiment. The experimental times were used as the time inputs in each corresponding decoder branch of ICNet.

fs: The sampling rate of the recorded multi-unit activity (24414.0625 / 32 = 762.9395 Hz). 

For questions, please reach out to one of the corresponding authors:

Fotios Drakopoulos: [e-mail]

Nicholas A Lesica: [e-mail]

This work was supported by EPSRC EP/W004275/1 and MRC MR/W019787/1.