Analysis and Modeling of Coordinated Multi-neuronal Activity

Since 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 st...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Tatsuno, Masami (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: New York, NY : Springer New York : Imprint: Springer, 2015.
Σειρά:Springer Series in Computational Neuroscience, 12
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Part I.  Method 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.  Information Encoding and Reconstruction by Phase Coding of Spikes
  • Chapter 14. Reinforcement Learning and Hippocampal Dynamics
  • Chapter 15. Off-line Replay and Hippocampal-Neocortical Interaction.