Arianna Di Bernardo

This paper introduces a multi-scale representational geometry framework to analyze how neural populations encode stimulus differences across scales, showing how neurons combine to encode information and how different brain areas differ.

This paper develops a theory of multi-tasking in neural circuits, distinguishing between sequential and simultaneous task performance and introduces a model of task barcodes to parameterize task selectivity.