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| 001 | 978-3-540-88853-6 | ||
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_a9783540888536 _9978-3-540-88853-6 |
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_a10.1007/978-3-540-88853-6 _2doi |
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_aDynamic Brain - from Neural Spikes to Behaviors _h[electronic resource] : _b12th International Summer School on Neural Networks, Erice, Italy, December 5-12, 2007, Revised Lectures / _cedited by Maria Marinaro, Silvia Scarpetta, Yoko Yamaguchi. |
| 250 | _a1st ed. 2008. | ||
| 264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2008. |
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| 300 |
_aVIII, 143 p. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 490 | 1 |
_aTheoretical Computer Science and General Issues, _x2512-2029 ; _v5286 |
|
| 505 | 0 | _aHippocampus and Neural Oscillations -- The Brain Computation Based on Synchronization of Nonlinear Oscillations: On Theta Rhythms in Rat Hippocampus and Human Scalp EEG -- Theta Phase Coding in Human Hippocampus: A Combined Approach of a Computational Model and Human Brain Activity Analyses -- Mechanisms for Memory-Guided Behavior Involving Persistent Firing and Theta Rhythm Oscillations in the Entorhinal Cortex -- Encoding and Replay of Dynamic Attractors with Multiple Frequencies: Analysis of a STDP Based Learning Rule -- A Biophysical Model of Cortical Up and Down States: Excitatory-Inhibitory Balance and H-Current -- Dynamics in Olfactory System and Behaviour -- Dynamical Architecture of the Mammalian Olfactory System -- From Behaviour to Brain Dynamics -- Correlation Structure of Spiking Trains -- Impact of Higher-Order Correlations on Coincidence Distributions of Massively Parallel Data -- Comparing Kurtosis Score to Traditional Statistical Metrics for Characterizing the Structure in NeuralEnsemble Activity -- Neural Network Theories on Associative Memory -- Pioneeristic Works on Neuronal Nets: A Short History -- Place-Field and Memory Formation in the Hippocampus -- Improving Recall in an Associative Neural Network of Spiking Neurons. | |
| 520 | _aThis book is devoted to graduate students and researchers with different scientific background (including physics, mathematics, biology, neuroscience, etc.) who wish to learn brain science beyond the boundary of their fields. The volume presents 12 thoroughly revised tutorial papers based on lectures given by leading researchers at the 12th International Summer School on Neural Networks in Erice, Italy, in December 2007. The 12 invited and contributed papers presented provide primarily high-level tutorial coverage of the fields related to neuraldynamics, reporting recent experimental and theoretical results investigating the role of collective dynamics in hippocampal and parahippocampal regions and in the mammalian olfactory system. The book is divided into topical sections on hippocampus and neural oscillations, dynamics in olfactory system and behaviour, correlation structure of spiking trains, and neural network theories on associative memory. | ||
| 650 | 0 |
_aArtificial intelligence. _93407 |
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_aComputer science. _99832 |
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_aComputer storage devices. _95655 |
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_aMemory management (Computer science). _920025 |
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_aMarinaro, Maria. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9135406 |
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_aScarpetta, Silvia. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9135407 |
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_aYamaguchi, Yoko. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9135408 |
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| 773 | 0 | _tSpringer Nature eBook | |
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_iPrinted edition: _z9783540888529 |
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_iPrinted edition: _z9783540891475 |
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