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Modeling neural circuits made simple with Python.

By: Rosenbaum, Robert.
Series: Computational neuroscience series.Publisher: Cambridge : MIT Press, 2024Description: xii, 153 p. ; ill., (some col.), 25 cm.ISBN: 9780262548083.Subject(s): Neural circuitry Computer simulation | Neural networks Neurobiology | Nervous networks Mathematical models | Python Computer program language | Action potential | Backpropagation | Dirac delta function | Exponential decay | Hopfield network | Mean-field theory | Poisson process | Saddle-node bifurcation | Spike countsDDC classification: 573.85 Summary: Rosenbaum explains at an advanced undergrad level, the core mathematical and computational models of neurons and networks of neurons, focusing primarily on neurons in the cerebral cortex.
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Includes bibliographical references and index.

Rosenbaum explains at an advanced undergrad level, the core mathematical and computational models of neurons and networks of neurons, focusing primarily on neurons in the cerebral cortex.

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