Introducing Computation to Neuroscience Selected Papers of George Gerstein /
This 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 analyse...
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| Співавтор: | |
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| Інші автори: | , , , |
| Формат: | Електронний ресурс eКнига |
| Мова: | Англійська |
| Опубліковано: |
Cham :
Springer International Publishing : Imprint: Springer,
2023.
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| Редагування: | 1st ed. 2023. |
| Серія: | Springer Series in Computational Neuroscience,
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| Предмети: | |
| Онлайн доступ: | https://doi.org/10.1007/978-3-030-87447-6 |
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Зміст:
- 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.