Modeling long-term dependencies in time series has proved very difficult to achieve with traditional machine learning methods. This problem occurs when considering music data. In ...
Neocortical networks of excitatory and inhibitory neurons can display alpha()-frequency rhythms when an animal is in a resting or unfocused state. Unlike some - and -frequency rhy...
Stephanie R. Jones, David J. Pinto, Tasso J. Kaper...
Measuring the similarity between rhythms is a fundamental problem in computational music theory, with many applications such as music information retrieval and copyright infringem...
We apply performance analysis techniques to a biological modelling problem, that of capturing and reproducing the Circadian rhythm. A Circadian rhythm provides cells with a clock b...
We develop geometric dynamical systems methods to determine how various components contribute to a neuronal network's emergent population behavior. The results clarify the mu...