From Brain Dynamics to the Mind
Spatiotemporal Neuroscience
- 1st Edition - March 28, 2024
- Author: Georg Northoff
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 2 1 9 3 5 - 5
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 2 2 7 3 9 - 8
From Brain Dynamics to the Mind: Spatiotemporal Neuroscience explores how the self and consciousness is related to neural events. Sections in the book cover existing models us… Read more
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Request a sales quoteFrom Brain Dynamics to the Mind: Spatiotemporal Neuroscience explores how the self and consciousness is related to neural events. Sections in the book cover existing models used to describe the mind/brain problem, recent research on brain mechanisms and processes and what they tell us about the self, consciousness and psychiatric disorders. The book presents a spatiotemporal approach to understanding the brain and the implications for artificial intelligence, novel therapies for psychiatric disorders, and for ethical, societal and philosophical issues.
Pulling concepts from neuroscience, psychology and philosophy, the book presents a modern and complete look at what we know, what we can surmise, and what we may never know about the distinction between brain and mind.
- Reviews models of understanding the mind/brain problem
- Identifies neural processes involved in consciousness, sense of self and brain function
- Includes concepts and research from neuroscience, psychology, cognitive science and philosophy
- Discusses implications for AI, novel therapies for psychiatric disorders and issues of ethics
- Suggests experimental designs and data analyses for future research on the mind/brain issue
Graduate and postgraduate students, neuroscientists, neurologists, psychologists, psychiatrists, biologists
- Cover image
- Title page
- Table of Contents
- Copyright
- Preface
- Introduction
- Brain dynamics
- Section 1. Variability of the brain
- Chapter 1. The fluctuating brain—essentials of neural variability
- Introduction
- Part I: forms of neural variability—temporal variance
- Part II: forms of neural variability—trial-to-trial variability
- Conclusion
- Chapter 2. Neural variability in rest and task states
- Introduction
- First part: Temporal variance in resting state
- Second part: Temporal variance in task states
- Summary
- Chapter 3. Neural variability shapes perception and cognition
- Introduction
- First part: trial-to-trial variability shapes behavior and perception
- Second part: trial-to-trial variability shapes cognition
- Summary
- Chapter 4. Neurodynamic mechanisms of neural variability
- Introduction
- Part I: neurodynamic mechanisms—temporal variance
- Second part: neurodynamic mechanisms—trial-to-trial variability
- Conclusion
- Section 2. Scale-freeness of the brain
- Chapter 5. From broccoli to the brain—Scale-free activity
- Introduction
- Part I: What is scale-free activity?
- Part II: How can we measure scale-free activity?
- Conclusion
- Chapter 6. From scale-free activity to temporo-spatial nestedness
- Introduction
- First part: Why is scale-free activity relevant for the brain—temporal structure
- Second part: Why is scale-free activity relevant for the brain—spatial structure
- Third part: Sand dunes and wind—task-related modulation of temporo-spatial structure
- Conclusion
- Chapter 7. Scale-free dynamic shapes perception and cognition
- Introduction
- Part I: scale-free activity shapes perception and action/behavior
- Part II: scale-free activity shapes emotion and cognition
- Conclusion
- Chapter 8. Scale-free activity—bridge between environment and brain
- Introduction
- Part I: Learning from nature—scale-free activity in the natural world
- Part II: Scale-free activity is shaped by the task's temporal structure
- Part III: Scale-free activity—temporal enveloping and neuro-ecological looping
- Conclusion
- Section 3. Timescales of the brain
- Chapter 9. The brain's inner time—intrinsic neural timescales
- Introduction
- Part I: From physics to neuroscience—inner versus outer time and space
- Part II: The brain's inner time and space—intrinsic neural timescales
- Part III: How can we measure the brain's intrinsic neural timescales
- Conclusion
- Chapter 10. Intrinsic neural timescales mediate input processing
- Introduction
- Part I: theoretical background—deeper layer of input processing beyond representation?
- Part II: intrinsic neural timescales mediate different temporal layers of input processing
- Part III: input sampling as the first temporal layer of input processing
- Conclusion
- Chapter 11. From Chronos and Kairos to the brain's temporal receptive windows
- Introduction
- Part I: from the gods of time in ancient Greece to the input processing of the brain
- Part II: second temporal layer of input processing—input segmentation
- Part III: third temporal layer of input processing—input integration and segregation
- Conclusion
- Chapter 12. Lessons from geology—from the timescales of the human brain to artificial agents
- Introduction
- Part I: from the geologic timescales of the earth to the timescales of the brain
- Part II: “law of temporal nestedness”—timescales in human and non–human species
- Part III: timescales in artificial agents
- Conclusion
- Section 4. Synchrony of the brain
- Chapter 13. Synchrony in nature and brain
- Introduction
- Part I: Synchronization in nature
- Part II: Synchronization within the brain
- Part III: Synchronization between brains
- Conclusion
- Chapter 14. Entrainment—How the brain synchronizes with its environment
- Introduction
- Part I: Entrainment makes possible “active sensing”
- Part II: Entrainment shapes perception and cognition
- Part III: From temporo-spatial alignment to “A world without entrainment”
- Conclusion
- Chapter 15. Brain—global synchronization and its topography
- Introduction
- Part I: Global brain activity—global synchronization
- Part II: GS topography—global-to-local differentiation and local-to-global dependence
- Conclusion
- Chapter 16. Neural synchronization in fMRI and EEG/MEG—a methodological guide
- Introduction
- Part II: inter-regional synchronization in fMRI—functional connectivity
- Part II: global neural synchronization in fMRI—global signal and its topography
- Part III: is global neural synchronization real? Different views of the global signal
- Part IV: neural synchronization in EEG/MEG
- Conclusion
- Dynamic layer model of brain
- Section 1. Dynamic layers and the brain
- Chapter 17. Dynamic layer model of brain (DLB)—An introduction
- Introduction
- Part I: Dynamic layer model of brain I—topographic and dynamic layers
- Part II: Dynamic layer model of brain II—timescales and their hierarchy
- Part III: layers of cognition—background structure and foreground content
- Part IV: Integrated brain–mind model—lessons from icebergs
- Conclusion
- Chapter 18. Background and foreground layers I: Scale-free stability versus oscillatory flexibility
- Introduction
- Part I: learning from the body—constancy of its internal milieu
- Part II: scale-free stability versus oscillatory flexibility
- Part III: scale-free versus oscillatory dynamic—stable background and flexible foreground
- Conclusion
- Chapter 19. Background and foreground layers II—nonlinear and asymmetric relationship
- Introduction
- Part I: slow–fast frequency gradient shapes information complexity
- Part II: scale-free dynamic shapes input processing
- Conclusion
- Section 2. From dynamic layers to cognition
- Chapter 20. Baseline model of cognition I: Distinction from dual model of cognition
- Introduction
- Part I: Dual model of cognition
- Part II: Baseline model of cognition
- Conclusion
- Chapter 21. Baseline model of cognition II: Spatiotemporal shaping of cognition and input processing
- Introduction
- Part I: spatiotemporal shaping of cognition—convergence of topography and dynamic
- Part II: spatiotemporal shaping of input processing—topography and dynamic of sensory input streams
- Conclusion
- Chapter 22. Dynamic capacities and cognition
- Introduction
- Part I: dynamic and its functionality—linear versus nonlinear relationship
- Part II: from dynamic activity to cognitive function—nonlinear relation and spatiotemporal shaping
- Part III: capacity- versus law-based approach to the relationship of brain and cognition
- Conclusion
- Section 3. Dynamic layer model of brain vs other models of brain
- Chapter 23. Cognitive model and predictive coding
- Introduction
- Part I: Cognitive model of brain—“Outside-in” and “Zooming in”
- Part II: Predictive coding model (Friston)
- Conclusion
- Chapter 24. Intrinsic and inside-out models of brain
- Introduction
- Part I: intrinsic model of brain I—metabolic-energetic model (Raichle)
- Part II: intrinsic model of brain II—“inside-out” model (Buszaki)
- Conclusion
- Chapter 25. Brain and world—converging free energy principle and dynamic layer model of brain
- Introduction
- Part I: free energy principle—the brain's neuro-ecological dimension
- Part II: converging free energy principle and dynamic layer model of brain
- Conclusion
- Mind dynamics
- Section 1. The self
- Chapter 26. The self and its intrinsic topography
- Introduction
- Part I: Topography of self—three layers of self-specific processing
- Part II: Connection and integration among the three layers of self
- Part III: Nested hierarchy of self—spatial, processing, and phenomenological gradients
- Conclusion
- Chapter 27. The dynamic of self and its semantics
- Introduction
- Part I: Timescales and the self
- Second part: Structuralism of language—semantic similarity and semantic relatedness
- Third part: Converging semantics, brain, and self through their timescales
- Conclusion
- Chapter 28. The self—psychological baseline or default
- Introduction
- Part I: self-specificity—from task-related activity to spontaneous activity
- Part II: baseline model of self-specificity
- Conclusion
- Chapter 29. From icebergs to the self—point of view
- Introduction
- Part I: environment and trauma shape the self
- Part II: neuro-ecological self and its scale-free dynamic
- Part III: the self and its world I—point of view
- Part IV: the self and its world II—neurophilosophical considerations
- Conclusion
- Section 2. Meditation
- Chapter 30. Topographic reorganization model of meditation
- Introduction
- Part I: Regional and network activity and connectivity
- Part II: Topographic reorganization model of meditation
- Part III: Relationship of TRoM to other models of meditation
- Conclusion
- Chapter 31. Topographic reorganization of the self during meditation
- Introduction—What is nondual awareness
- Part I: Imaging studies linking self and meditation
- Part II: Topographic reorganization of the self
- Conclusion
- Chapter 32. Dynamic reorganization of the brain during meditation
- Introduction
- Part I: oscillatory power and synchrony during proficient meditation
- Part II: dynamic reorganization—long-range global synchronization is a key mechanism
- Part III: comparison of TRoM-based synchronization to other mechanisms
- Conclusion
- Section 3. Dreams
- Chapter 33. From Salvador Dali to dreams—topographic reorganization model of dreams
- Introduction
- Part I: topography of dreams
- Part II: from topography to experience of dreams
- Part III: topographic reorganization of the self
- Conclusion
- Chapter 34. From falling keys to dreams—Dynamic reorganization
- Introduction
- Part I: Dynamic of dreams
- Part II: From dynamics to the experience of dreams
- Part III: Dreams and consciousness
- Conclusion—Topographic-dynamic reorganization model of dreams
- Section 4. Thoughts
- Chapter 35. How dynamics shape our thoughts
- Introduction
- First part: Variability of thoughts
- Second part: Frequency and power of thoughts
- Third part: Regularity and irregularity of thoughts
- Fourth part: Phase dynamics of thoughts
- Conclusion
- Chapter 36. Baseline model of thought
- Introduction
- Part A: baseline model of thought
- Part B: comparison of BMT with other models of thought
- Conclusion
- Section 5. Consciousness
- Chapter 37. The jungle of consciousness—current neuroscientific theories
- Introduction
- First part: Stimulus-related activity and consciousness
- Second part: Spontaneous activity and consciousness
- Conclusion
- Chapter 38. Order in the jungle of consciousness—convergence of theories
- Introduction
- Part I: From brain to consciousness—architecture and neuroanatomy
- Stimulus-related activity—function and dynamics
- Spontaneous activity and stimulus-related activity—integration and nestedness
- Neural predispositions of consciousness—necessary conditions or capacity
- Temporo-spatial dynamics— phenomenal features and “common currency”
- Conclusion
- Chapter 39. Temporo-spatial theory of consciousness I—form and level/state
- Introduction
- Form of consciousness—temporo-spatial alignment
- Level or state of consciousness—temporo-spatial nestedness
- Conclusion
- Chapter 40. Temporo-spatial theory of consciousness (TTC) II: Contents of consciousness
- Introduction
- Neuronal mechanisms—from pre-stimulus to stimulus-induced activity
- From prestimulus to stimulus-induced activity—conscious versus unconscious contents
- From prestimulus to stimulus-induced activity—neurophenomenal mechanisms
- Conclusions
- Chapter 41. From brain to consciousness—“common currency hypothesis”
- Introduction
- Part I: specialness versus nonspecialness of consciousness
- Part II: common currency hypothesis of neuronal and mental features
- Conclusion
- Section 6. Autism
- Chapter 42. Dynamic shapes perception and behavior in autism
- Introduction
- Part I: Theoretical background—scale-free activity and autism
- Second part: Empirical data on scale-free dynamic in autism
- Third part: From increased scale-free dynamic to abnormal perception and behavior
- Conclusion
- Chapter 43. Hierarchical model of autistic self
- Introduction
- Part I: Changes in fMRI task and resting state in autism (Lian and Northoff, 2021)
- Part II: How does it all fit together? Hierarchical model of autistic self
- Part III: Relationship of HAS to other models of autism
- Conclusions—A hierarchical and spatiotemporal approach to the autistic self
- Conclusion
- Index
- No. of pages: 690
- Language: English
- Edition: 1
- Published: March 28, 2024
- Imprint: Academic Press
- Paperback ISBN: 9780128219355
- eBook ISBN: 9780128227398
GN
Georg Northoff
Dr. Northoff is a neuroscientist and psychiatrist at the University of Ottawa. He has global outreach with world-wide collaborations and affiliations. The main focus of his research is on unravelling the connection of brain and mind, that is, how neuronal activity transforms into mental activity. He is world-wide known for his work on the neuroscience of self and consciousness, psychiatric disorders, and neurophilosophy. Additionally, he published several major books on major neuroscientific, psychiatric and neurophilosophical issues which have been translated into several languages.
Affiliations and expertise
Neuroscientist and Psychiatrist, University of Ottawa, CanadaRead From Brain Dynamics to the Mind on ScienceDirect