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008			221110s2023 sz | o |||| 0|eng d
020			_a9783030874476
024	7		_a10.1007/978-3-030-87447-6 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQP357.5 _b2023 EB
245	0	0	_aIntroducing Computation to Neuroscience : _bSelected Papers of George Gerstein _cedited by Ad Aertsen, Sonja Grün, Pedro E Maldonado, Günther Palm
250			_a1st ed. 2023
264		1	_aCham _bSpringer International Publishing _c2023
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aSpringer Series in Computational Neuroscience _x2197-1919
505	0		_a1. Integrate and fire: RC circuits to model neurons and reward monkeys -- 2. Neuronal spike trains, stochastic point processes, and why George Gerstein's papers are still worth reading -- 3. Visual Functions of Inferior Temporal Cortex -- 4. Early Days in the Gerstein Lab: Neuronal Plasticity in 1, 2, and 3 Dimensions -- 5. Patterns in Spike Trains -- 6. Introduction to the Gravity Papers -- 7. On correlations and interactions between neurons and with George Gerstein -- 8. Significance of Correlations between Spike Trains -- 9. Spatial-Temporal Spike Patterns -- 10. Does Cross Correlation Have a Unique Interpretation? -- 11. Neuronal Plasticity and my Experience Working with George L. Gerstein -- 12. Auditory Experiments and Modeling -- 13. Thinking about Analysis Methods with George in Philadelphia, Cambridge and Newcastle -- 14. Higher-order Correlations and Synfire Chains -- Nencki Award for George L. Gerstein.
520			_aThis book brings together a selection of papers by George Gerstein, representing his long-term endeavor of making neuroscience into a more rigorous science inspired by physics, where he had his roots. Professor Gerstein was many years ahead of the field, consistently striving for quantitative analyses, mechanistic models, and conceptual clarity. In doing so, he pioneered Computational Neuroscience, many years before the term itself was born. The overarching goal of George Gerstein's research was to understand the functional organization of neuronal networks in the brain. The editors of this book have compiled a selection of George Gerstein's many seminal contributions to neuroscience--be they experimental, theoretical or computational--into a single, comprehensive volume .The aim is to provide readers with a fresh introduction of these various concepts in the original literature. The volume is organized in a series of chapters by subject, ordered in time, each one containing one or more of George Gerstein's papers.
988			_aSpringer_BiomedLife_2023
650		7	_2embne _9481390 _aNeurociencia computacional
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-87447-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b06/2024 _dz _eIG _zSI