Handbook of in Vivo Neural Plasticity Techniques, Volume 28: A Systems Neuroscience Approach to the Neural Basis of Memory and Cognition gives a comprehensive overview of the current methods and approaches that are used to study neural plasticity from a systems neuroscience perspective. In addition, the book offers in-depth methodological advice that provides the necessary foundation for researchers establishing methods and students who need to understand the theoretical and methodological bases of these approaches. This is the ideal resource for anyone new to the study of cognitive and behavioral neuroscience who seeks an introduction to state-of-the-art techniques.
1. Introduction - p. 1 2. 1. Persistent Forms of Synaptic Plasticity in Behaving Rats - p. 1 3. 2. Advantages of Conducting In Vivo Electrophysiological Recordings From Freely Behaving Rats - p. 17 4. 3. Factors That Will Influence Experimental Outcome - p. 19 5. 4. Field Potential Recordings From and Synaptic Plasticity Induction in Freely Behaving Rats - p. 22 6. 5. Troubleshooting - p. 33 7. 6. Conclusions and Future Directions - p. 33 8. Chapter 2. Recording Day and Night: Advice for New Investigators in the Sleep and Memory Field - p. 43 9. Chapter 3. Special Considerations When Using Mice for In Vivo Electrophysiology and Long-Term Studies of Hippocampal Synaptic Plasticity During Behavior - p. 63 10. Chapter 4. Practical Considerations for In Vivo Electrophysiology Along the Dorsoventral Hippocampal Axis - p. 85 11. Chapter 5. Recording the Spatial Mapping Cells: Place, Head Direction, and Grid Cells - p. 95 12. Chapter 6. Visually Guided Single-Cell Recordings in the Hippocampus of Awake Mice - p. 123 13. Chapter 7. Identification of Neural Plasticity From Spikes - p. 135 14. Chapter 8. Extracellular Recordings in Subcortical Limbic Structures In Vivo - p. 153 15. Chapter 9. In Vivo Electrophysiological Approaches for Studying Head Direction Cells - p. 169 16. Chapter 10. Barrel Cortex as a Model System for Understanding the Molecular, Structural, and Functional Basis of Cortical Plasticity - p. 189 17. Chapter 11. Neurophysiology Techniques in the Avian Brain: Single Units and Field Recordings - p. 213 18. Chapter 12. Optical Imaging With Voltage Sensors—Capturing TMS-Induced Neuronal Signals Using Light - p. 223 19. Chapter 13. Chronic Two-Photon Calcium Imaging in the Visual Cortex of Awake Behaving Mice - p. 235 20. Chapter 14. Long-Term In Vivo Imaging of Structural Plasticity in Rodents - p. 253 21. Chapter 15. A Guide to Optogenetic Applications, With Special Focus on Behavioral and In Vivo Electrophysiological Experiments - p. 263 22. Chapter 16. Optogenetic Approaches for Controlling Neuronal Activity and Plasticity - p. 285 23. Chapter 17. Optogenetic Intracranial Self-Stimulation as a Method to Study the Plasticity-Inducing Effects of Dopamine - p. 311 24. Chapter 18. The Role of the Locus Coeruleus in Cellular and Systems Memory Consolidation - p. 327 25. Chapter 19. Using Molecular Biology to Address Locus Coeruleus Modulation of Hippocampal Plasticity and Learning: Progress and Pitfalls - p. 349 26. Chapter 20. Transcranial Magnetic Stimulation of Rodents: Repetitive Transcranial Magnetic Stimulation—A Noninvasive Way to Induce Neural Plasticity In Vivo and In Vitro - p. 365 27. Chapter 21. Repetitive Sensory Stimulation—A Canonical Approach to Control the Induction of Human Learning at a Behavioral and Neural Level - p. 389 28. Chapter 22. Plastic Network Changes During Brain Disease: A Magnetic Resonance Imaging Approach in Rodents - p. 415 29. Chapter 23. A Combined fMRI and Electrophysiological Approach to Study Signal Processing and Signal Propagation in the Rodent Hippocampus - p. 425 30. Chapter 24. Functional MRI of Synaptic Plasticity - p. 441 31. Chapter 25. MRI: An Ideal Tool to Explore the Neural Substrate of Vocal Communication in Songbirds - p. 457 32. Chapter 26. Tracking Human Engrams Using Multivariate Analysis Techniques - p. 481 33. Chapter 27. Representational Similarity Analyses: A Practical Guide for Functional MRI Applications - p. 509 34. Chapter 28. Invasive Brain-Computer Interfaces and Neural Recordings From Humans - p. 527 35. Index - p. 541
Handbook of in Vivo Neural Plasticity Techniques, Volume 28: A Systems Neuroscience Approach to the Neural Basis of Memory and Cognition gives a comprehensive overview of the current methods and approaches that are used to study neural plasticity from a systems neuroscience perspective. In addition, the book offers in-depth methodological advice that provides the necessary foundation for researchers establishing methods and students who need to understand the theoretical and methodological bases of these approaches. This is the ideal resource for anyone new to the study of cognitive and behavioral neuroscience who seeks an introduction to state-of-the-art techniques.
1. Introduction - p. 1 2. 1. Persistent Forms of Synaptic Plasticity in Behaving Rats - p. 1 3. 2. Advantages of Conducting In Vivo Electrophysiological Recordings From Freely Behaving Rats - p. 17 4. 3. Factors That Will Influence Experimental Outcome - p. 19 5. 4. Field Potential Recordings From and Synaptic Plasticity Induction in Freely Behaving Rats - p. 22 6. 5. Troubleshooting - p. 33 7. 6. Conclusions and Future Directions - p. 33 8. Chapter 2. Recording Day and Night: Advice for New Investigators in the Sleep and Memory Field - p. 43 9. Chapter 3. Special Considerations When Using Mice for In Vivo Electrophysiology and Long-Term Studies of Hippocampal Synaptic Plasticity During Behavior - p. 63 10. Chapter 4. Practical Considerations for In Vivo Electrophysiology Along the Dorsoventral Hippocampal Axis - p. 85 11. Chapter 5. Recording the Spatial Mapping Cells: Place, Head Direction, and Grid Cells - p. 95 12. Chapter 6. Visually Guided Single-Cell Recordings in the Hippocampus of Awake Mice - p. 123 13. Chapter 7. Identification of Neural Plasticity From Spikes - p. 135 14. Chapter 8. Extracellular Recordings in Subcortical Limbic Structures In Vivo - p. 153 15. Chapter 9. In Vivo Electrophysiological Approaches for Studying Head Direction Cells - p. 169 16. Chapter 10. Barrel Cortex as a Model System for Understanding the Molecular, Structural, and Functional Basis of Cortical Plasticity - p. 189 17. Chapter 11. Neurophysiology Techniques in the Avian Brain: Single Units and Field Recordings - p. 213 18. Chapter 12. Optical Imaging With Voltage Sensors—Capturing TMS-Induced Neuronal Signals Using Light - p. 223 19. Chapter 13. Chronic Two-Photon Calcium Imaging in the Visual Cortex of Awake Behaving Mice - p. 235 20. Chapter 14. Long-Term In Vivo Imaging of Structural Plasticity in Rodents - p. 253 21. Chapter 15. A Guide to Optogenetic Applications, With Special Focus on Behavioral and In Vivo Electrophysiological Experiments - p. 263 22. Chapter 16. Optogenetic Approaches for Controlling Neuronal Activity and Plasticity - p. 285 23. Chapter 17. Optogenetic Intracranial Self-Stimulation as a Method to Study the Plasticity-Inducing Effects of Dopamine - p. 311 24. Chapter 18. The Role of the Locus Coeruleus in Cellular and Systems Memory Consolidation - p. 327 25. Chapter 19. Using Molecular Biology to Address Locus Coeruleus Modulation of Hippocampal Plasticity and Learning: Progress and Pitfalls - p. 349 26. Chapter 20. Transcranial Magnetic Stimulation of Rodents: Repetitive Transcranial Magnetic Stimulation—A Noninvasive Way to Induce Neural Plasticity In Vivo and In Vitro - p. 365 27. Chapter 21. Repetitive Sensory Stimulation—A Canonical Approach to Control the Induction of Human Learning at a Behavioral and Neural Level - p. 389 28. Chapter 22. Plastic Network Changes During Brain Disease: A Magnetic Resonance Imaging Approach in Rodents - p. 415 29. Chapter 23. A Combined fMRI and Electrophysiological Approach to Study Signal Processing and Signal Propagation in the Rodent Hippocampus - p. 425 30. Chapter 24. Functional MRI of Synaptic Plasticity - p. 441 31. Chapter 25. MRI: An Ideal Tool to Explore the Neural Substrate of Vocal Communication in Songbirds - p. 457 32. Chapter 26. Tracking Human Engrams Using Multivariate Analysis Techniques - p. 481 33. Chapter 27. Representational Similarity Analyses: A Practical Guide for Functional MRI Applications - p. 509 34. Chapter 28. Invasive Brain-Computer Interfaces and Neural Recordings From Humans - p. 527 35. Index - p. 541
