Analysis and Modeling of Coordinated Multi-neuronal Activity

1. Front Matter

   Pages i-x

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2. Method of Multi-Electrode Recording

   1. Front Matter

      Pages 1-1

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   2. Techniques for Large-Scale Multiunit Recording

      • Hendrik W. Steenland, Bruce L. McNaughton

      Pages 3-39

   3. Silicon Probe Techniques for Large-Scale Multiunit Recording

      • Hendrik W. Steenland, Bruce L. McNaughton

      Pages 41-61

3. Coordinated Neural Activity in Rodent Hippocampus and Associated Areas

   1. Front Matter

      Pages 63-63

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   2. Overview of Neural Activity in the Awake and Sleeping Hippocampus

      • Michael Eckert, Masami Tatsuno

      Pages 65-79

   3. Associative Reactivation of Place–Reward Information in the Hippocampal–Ventral Striatal Circuitry

      • Carien S. Lansink, Cyriel M. A. Pennartz

      Pages 81-104

   4. Hippocampal Sequences and the Cognitive Map

      • Andrew M. Wikenheiser, A. David Redish

      Pages 105-129

   5. Reorganization of Hippocampal Place-Selective Patterns During Goal-Directed Learning and Their Reactivation During Sleep

      • David Dupret, Jozsef Csicsvari

      Pages 131-146

   6. Causal Relationship Between SPWRs and Spatial Learning and Memory

      • Gabrielle Girardeau, Michaël Zugaro

      Pages 147-160

4. Cortical Neural Activity and Interaction with the Hippocampus

   1. Front Matter

      Pages 161-161

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   2. Packets of Sequential Neural Activity in Sensory Cortex

      • Artur Luczak

      Pages 163-182

   3. Coordinated Sequence Replays Between the Visual Cortex and Hippocampus

      • Daniel Christopher Haggerty, Daoyun Ji

      Pages 183-206

   4. Memory Consolidation, Replay, and Cortico-Hippocampal Interactions

      • Esther Holleman, Francesco P. Battaglia

      Pages 207-221

5. Memory Reactivation in Humans

   1. Front Matter

      Pages 223-223

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   2. Memory Reactivation in Humans (Imaging Studies)

      • Juliane Farthouat, Philippe Peigneux

      Pages 225-243

6. Computational Modeling of Coordinated Neural Activity

   1. Front Matter

      Pages 245-245

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   2. Models and Theoretical Frameworks for Hippocampal and Entorhinal Cortex Function in Memory and Navigation

      • Nathan W. Schultheiss, James R. Hinman, Michael E. Hasselmo

      Pages 247-268

   3. Information Encoding and Reconstruction by Phase Coding of Spikes

      • Zoltan Nadasdy

      Pages 269-298

   4. Reinforcement Learning and Hippocampal Dynamics

      • Adam Johnson, Sarah Venditto

      Pages 299-312

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.

• Computational Modeling
• Cortex
• Hippocampus
• Memory
• Multi-electrode Recording

• The University of Lethbridge, Lethbridge, Canada

  Masami Tatsuno

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