Code and results of "Human-like Modulation Sensitivity Emerging through Optimization to Natural Sound Recognition" by Takuya Koumura, Hiroki Terashima, and Shigeto Furukawa (https://doi.org/10.1101/2022.09.25.509427).

Human-like Modulation Sensitivity Emerging through Optimization to Natural Sound Recognition. Takuya Koumura, Hiroki Terashima, Shigeto Furukawa. bioRxiv 2022.09.25.509427; doi: https://doi.org/10.1101/2022.09.25.509427

To reproduce the figures in the paper, run src/plot_[something].py. These scripts use the computed results in results. You can download the results from the release and unzip the files under the results directory. Alternatively, you can compute the results on your own with src/run_[something].py. See src/README.md for the detailed description of the code files and how to setup the path.

• results: The contents can be downloaded from the release, or computed by run_[something].py in src.
• src: Codes.
• docker: Docker information for reproducing our environment.

This work was supported by JSPS KAKENHI Grant Number JP20H05957 (Grant-in-Aid for Transformative Research Areas (A) “Analysis and synthesis of deep SHITSUKAN information in the real world”).

Please see the LICENSE.