All Outputs (3)

Gradient boosted decision trees reveal nuances of auditory discrimination behavior (2024)
Journal Article
Griffiths, C. S., Lebert, J. M., Sollini, J., & Bizley, J. K. (2024). Gradient boosted decision trees reveal nuances of auditory discrimination behavior. PLoS Computational Biology, 20(4), Article e1011985. https://doi.org/10.1371/journal.pcbi.1011985

Animal psychophysics can generate rich behavioral datasets, often comprised of many 1000s of trials for an individual subject. Gradient-boosted models are a promising machine learning approach for analyzing such data, partly due to the tools that all... Read More about Gradient boosted decision trees reveal nuances of auditory discrimination behavior.

What Happens When We Hear? (2023)
Journal Article
Sumner, C. J., Akeroyd, M. A., Sollini, J., & Hart, C. (in press). What Happens When We Hear?. Frontiers for Young Minds, 11, 1072364. https://doi.org/10.3389/frym.2023.1072364

What happens when we hear? Where does the sound go when it enters our ears? Our ears sense the vibrations of the air and convert them into electrical signals the brain can process. But that is only the start. The brain uses tens of thousands of nerve... Read More about What Happens When We Hear?.

Inferring the basis of binaural detection with a modified autoencoder (2023)
Journal Article
Smith, S., Sollini, J., & Akeroyd, M. A. (2023). Inferring the basis of binaural detection with a modified autoencoder. Frontiers in Neuroscience, 17, Article 1000079. https://doi.org/10.3389/fnins.2023.1000079

The binaural system utilizes interaural timing cues to improve the detection of auditory signals presented in noise. In humans, the binaural mechanisms underlying this phenomenon cannot be directly measured and hence remain contentious. As an alterna... Read More about Inferring the basis of binaural detection with a modified autoencoder.