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| 001 | 81177 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230202102753.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 141113s2015 xxu| s |||| 0|eng d | ||
| 020 | _a9781493919697 | ||
| 024 | 7 |
_a10.1007/978-1-4939-1969-7 _2doi |
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| 040 | _dES-MaUEC | ||
| 050 | 4 |
_aQP364.5 _bA535 2015 |
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| 245 | 1 | 0 |
_aAnalysis and Modeling of Coordinated Multi-neuronal Activity _cedited by Masami Tatsuno. |
| 260 |
_aNew York _bSpringer International Publishing _c2015 |
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| 300 |
_a1 recurso en línea (X, 354 p.) _b76 ilustraciones, 59 ilustraciones en color |
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| 336 |
_aTexto (visual) _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 490 | 0 |
_aSpringer Series in Computational Neuroscience _x2197-1900 _v12 |
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| 505 | 0 | _aPart I.Â{u0365}thod of Multi-Electrode Recording -- Chapter 1. Techniques for Large-Scale Multiunit Recording -- Chapter 2. Silicon Probe Techniques for Large-scale Multiunit Recording -- Part II. Coordinated Neural Activity in Rodent Hippocampus and Associated Areas -- Chapter 3. Overview of Neural Activity in the Awake and Sleeping Hippocampus -- Chapter 4. Associative Reactivation of Place-Reward Information in the Hippocampal-Ventral Striatal Circuitry -- Chapter 5. Hippocampal Sequences and the Cognitive Map -- Chapter 6. Reorganization of Hippocampal Place-Selective Patterns During Goal-Directed Learning and Their Reactivation During Sleep -- Chapter 7. Causal Relationship Between SPW-Rs and Spatial Learning and Memory -- Part III. Cortical Neural Activity and Interaction with the Hippocampus -- Chapter 8. Packets of Sequential Neural Activity in Sensory Cortex -- Chapter 9. Coordinated Sequence Replays Between the Visual Cortex and Hippocampus -- Chapter 10. Memory Consolidation, Replay, and Cortico-Hippocampal Interactions -- Part IV. Memory Reactivation in Humans -- Chapter 11. Memory Reactivation in Humans (Imaging Studies) -- Part V. Computational Modeling of Coordinated Neural Activity -- Chapter 12. Models and Theoretical Frameworks for Hippocampal and Entorhinal Cortex Function in Memory and Navigation -- Chapter 13.Â{u026E}formation Encoding and Reconstruction by Phase Coding of Spikes -- Chapter 14. Reinforcement Learning and Hippocampal Dynamics -- Chapter 15. Off-line Replay and Hippocampal-Neocortical Interaction. | |
| 520 | _aSince information in the brain is processed by the exchange of spikes among neurons, a study of such group dynamics is extremely important in understanding hippocampus dependent memory. These spike patterns and local field potentials (LFPs) have been analyzed by various statistical methods. These studies have led to important findings of memory information processing. For example, memory-trace replay, a reactivation of behaviorally induced neural patterns during subsequent sleep, has been suggested to play an important role in memory consolidation. It has also been suggested that a ripple/sharp wave event (one of the characteristics of LFPs in the hippocampus) and spiking activity in the cortex have a specific relationship that may facilitate the consolidation of hippocampal dependent memory from the hippocampus to the cortex. The book will provide a state-of-the-art finding of memory information processing through the analysis of multi-neuronal data. The first half of the book is devoted to this analysis aspect. Understanding memory information representation and its consolidation, however, cannot be achieved only by analyzing the data. It is extremely important to construct a computational model to seek an underlying mathematical principle. In other words, an entire picture of hippocampus dependent memory system would be elucidated through close collaboration among experiments, data analysis, and computational modeling. Not only does computational modeling benefit the data analysis of multi-electrode recordings, but it also provides useful insight for future experiments and analyses. The second half of the book will be devoted to the computational modeling of hippocampus-dependent memory. | ||
| 650 | 7 |
_2embne _9217236 _aNeuronas _xFisiología |
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| 700 | 1 |
_aTatsuno, Masami _eeditor literario _993459 _0Local |
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| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-1-4939-1969-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 907 |
_a.b1289767x _b10-10-17 _c18-01-16 |
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| 942 |
_2lcc _cLE |
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| 945 |
_aQP364.5 A535 2015 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i11567296 _z06-04-17 |
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| 988 | _aEBSPRINGER | ||
| 998 |
_am _a_alco _a_vill _b - - _cm _dz _e- _feng _gxxu _h0 |
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