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Stochastic Methods in Neuroscience Carlo Laing, Gabriel J. Lord
Publisher: Oxford University Press, USA

These theorems are valid for processes taking A brief, heuristic discussion of the method of proof for the law of large numbers explains the importance of these martingales and motivates their study. Petr Lánský, Institute of Physiology AV ˇCR, Prague, CZ. Stochastic Methods in Neuroscience. Stochastic methods in computational neuroscience. On a technical level, we apply recently developed law of large numbers and central limit theorems for piecewise deterministic processes taking values in Hilbert spaces to a master equation formulation of stochastic neuronal network models. Carlo Laing and Gabriel Lord (Eds). Computational Neuroscience, Phototransduction, Stochastic and millions of synapses ¬are used to great advantage in these methods. Specialized Disciplinary Neuroscience Electives: models, deterministic and stochastic methods for threshold dynamics and bursting, relaxation oscillations. Stochastic dynamic bifurcations and excitability. Lord, Stochastic Methods in Neuroscience (OUP, Oxford, 2009).