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Introducing Computation to Neuroscience : Selected Papers of George Gerstein

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2022
Springer International Publishing Cham
ISBN: 978-3-030-87446-9, 978-3-030-87447-6 (electronic)

Cham : Springer International Publishing, Springer Series in Computational Neuroscience : 1st ed., 548 p., 224 b/w illustrations, 29 illustrations in colour () [10.1007/978-3-030-87447-6]

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Abstract: 1. 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

Keyword(s): Neurosciences (LCSH) ; Computational neuroscience (LCSH) ; Biophysics (LCSH) ; Science—History (LCSH)

Classification:

Contributing Institute(s):
  1. Computational and Systems Neuroscience (INM-6)
  2. Theoretical Neuroscience (IAS-6)
  3. Jara-Institut Brain structure-function relationships (INM-10)
Research Program(s):
  1. 5232 - Computational Principles (POF4-523) (POF4-523)
  2. 5231 - Neuroscientific Foundations (POF4-523) (POF4-523)

Appears in the scientific report 2022
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Institute Collections > IAS > IAS-6
Institute Collections > INM > INM-6
Document types > Books > Books
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 Record created 2023-01-11, last modified 2024-03-13



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