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001 978-3-030-87447-6
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020 _a9783030874476
_9978-3-030-87447-6
024 7 _a10.1007/978-3-030-87447-6
_2doi
072 7 _aPSAN
_2bicssc
072 7 _aSCI089000
_2bisacsh
072 7 _aPSAN
_2thema
245 1 0 _aIntroducing Computation to Neuroscience
_b : Selected Papers of George Gerstein /
250 _a1st ed. 2023.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2023.
300 _aXIII, 548 p. 253 illus., 29 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _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.
650 0 _aNeurosciences.
650 0 _aComputational neuroscience.
650 0 _aBiophysics.
_95390
650 0 _aScience
_xHistory.
650 1 4 _aNeuroscience.
650 2 4 _aComputational Neuroscience.
650 2 4 _aBiophysics.
_95390
650 2 4 _aHistory of Science.
700 1 _aAertsen, Ad.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aGr�n, Sonja.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aMaldonado, Pedro E.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aPalm, G�nther.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
830 0 _aSpringer Series in Computational Neuroscience,
_x2197-1919
856 _u#gotoholdings
_yAccess resource
912 _aZDB-2-SBL
912 _aZDB-2-SXB
245 _h[E-Book]
999 _c103719
_d103719