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The Roles of Supervised Machine Learning in Systems Neuroscience
Over the last several years, the use of machine learning (ML) in neuroscience has been rapidly increasing.
On functions computed on trees
Any function can be constructed using a hierarchy of simpler functions through compositions.
PDE constraints on smooth hierarchical functions computed by neural networks
Our approach is a step toward formulating an algebraic description of functional spaces associated with specific neural networks, and may provide new, useful tools for constructing neural networks.
Comparing dendritic trees with actual trees
Since they became observable, neuron morphologies have been informally compared with biological trees but they are studied by distinct communities, neuroscientists, and ecologists.
