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Probabilistic Neural Coding from Deterministic Neural Dynamics: mathematics and biophysics of adaptive single neuron computation
The basic unit of computation in the nervous system is the transformation of input into output spikes performed by an individual neuron. The spiking response of the neuron to a complex, time-varying input can be characterized with two different classes of models: nonlinear dynamical systems represent the detailed biophysical ...
Neural Mechanisms of Trial and Error Learning: a Study from Bird Song
In this dissertation I examine how variation is generated, shaped and controlled in the brain during trial-and-error learning. The first part of this dissertation concerns the mathematical modeling of networks of neurons that constitute part of the neural architecture of song bird learning. Chapter 1 reviews the theories of ...