Analysis and Modeling of Coordinated Multi-neuronal Activity

✍ Scribed by Masami Tatsuno (eds.)

• Publisher: Springer-Verlag New York
• Year: 2015
• Tongue: English
• Leaves: 353
• Series: Springer Series in Computational Neuroscience 12
• Edition: 1
• Category: Library

✦ Synopsis

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 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.

✦ Table of Contents

Front Matter....Pages i-x
Front Matter....Pages 1-1
Techniques for Large-Scale Multiunit Recording....Pages 3-39
Silicon Probe Techniques for Large-Scale Multiunit Recording....Pages 41-61
Front Matter....Pages 63-63
Overview of Neural Activity in the Awake and Sleeping Hippocampus....Pages 65-79
Associative Reactivation of Place–Reward Information in the Hippocampal–Ventral Striatal Circuitry....Pages 81-104
Hippocampal Sequences and the Cognitive Map....Pages 105-129
Reorganization of Hippocampal Place-Selective Patterns During Goal-Directed Learning and Their Reactivation During Sleep....Pages 131-146
Causal Relationship Between SPWRs and Spatial Learning and Memory....Pages 147-160
Front Matter....Pages 161-161
Packets of Sequential Neural Activity in Sensory Cortex....Pages 163-182
Coordinated Sequence Replays Between the Visual Cortex and Hippocampus....Pages 183-206
Memory Consolidation, Replay, and Cortico-Hippocampal Interactions....Pages 207-221
Front Matter....Pages 223-223
Memory Reactivation in Humans (Imaging Studies)....Pages 225-243
Front Matter....Pages 245-245
Models and Theoretical Frameworks for Hippocampal and Entorhinal Cortex Function in Memory and Navigation....Pages 247-268
Information Encoding and Reconstruction by Phase Coding of Spikes....Pages 269-298
Reinforcement Learning and Hippocampal Dynamics....Pages 299-312
Off-Line Replay and Hippocampal-Neocortical Interaction....Pages 313-343
Back Matter....Pages 345-354

✦ Subjects

Neurosciences; Neurobiology; Mathematical Models of Cognitive Processes and Neural Networks