The cortex and the critical point : : understanding the power of emergence / / John M. Beggs.
"A survey of the criticality hypothesis which imports theory from physics to understand the brain and could be a grand unifying theory of the brain at a time when neuroscience is dominated by data"--
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Place / Publishing House: | Cambridge, Massachusetts : : The MIT Press,, [2022] |
Year of Publication: | 2022 |
Edition: | 1st ed. |
Language: | English |
Series: | The MIT Press
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Physical Description: | 1 online resource (217 pages) |
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Beggs, John M., author. The cortex and the critical point : understanding the power of emergence / John M. Beggs. 1st ed. Cambridge, Massachusetts : The MIT Press, [2022] 1 online resource (217 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier The MIT Press Intro -- Contents -- Acknowledgments -- Introduction -- The Critical Point in Context -- The Goals and Structure of This Book -- I. Background -- 1. The Main Idea -- A Simple Model -- Optimal Information Processing -- The Appearance of Emergent Phenomena -- Power Laws -- Avalanches -- A Phase Transition -- From a Model to Data -- The Criticality Hypothesis -- Objections and Responses to the Criticality Hypothesis -- Chapter Summary -- 2. Emergent Phenomena -- Methodological Reductionism -- The Wave as an Emergent Phenomenon -- Emergent Phenomena in the Brain -- A Simple Model of Emergent Phenomena in the Brain -- Complex Emergent Phenomena Occur at a Phase Transition -- More Complex Emergent Phenomena? -- How to Study Emergent Phenomena -- Chapter Summary -- II. The Critical Point and Its Consequences -- 3. The Critical Point -- The Branching Model: A Branching Ratio Near 1 -- The Branching Model: A Phase Transition with Control and Order Parameters -- The Branching Model: An Exponent Relation between Multiple Power Laws -- The Branching Model: Fractal Copies of Avalanches -- Signatures of Being near the Critical Point -- Signatures of the Critical Point from the Data -- In Vitro Experiments -- Data: A Branching Ratio near 1 -- Data: A Phase Transition with Control and Order Parameters -- Data: An Exponent Relation between Multiple Power Laws -- Data: Fractal Copies of Avalanches -- Objections to These Signatures of Criticality -- Chapter Summary -- 4. Optimality -- The Branching Model: Information Transmission -- The Branching Model: Dynamic Range -- The Branching Model: Susceptibility -- Data: Dynamic Range -- Data: Information Transmission -- Data: Susceptibility -- Other Predictions Yet to Be Tested -- Chapter Summary -- 5. Universality -- Universality in Physical Systems -- Universality in the Cortex: Indicators. Indicators Seen across Species -- Indicators Seen across Scales -- Described by a Simple Model -- Chapter Summary -- III. Future Directions -- 6. Homeostasis and Health -- Homeostasis toward the Critical Point after a Major Perturbation -- Sleep and Homeostasis toward the Critical Point -- Sensory Adaptation toward the Critical Point -- Development toward the Critical Point -- Themes from Homeostasis Results -- Health -- Chapter Summary -- 7. Quasicriticality -- Universality: Unfinished Issues -- A Possible Solution: Quasicriticality -- Another View: Slightly Subcritical -- Another View: Subsampling -- Another View: Griffiths Phase -- Chapter Summary -- 8. Cortex -- The Expansion of Cortical Area -- Associations of Associations -- The Special Role of Layers 2 and 3 -- Multifunctionality and the Critical Point -- Nearly Critical in Layers 2 and 3, but Not in Layer 5 -- Staying Nearly Critical While Learning -- Timescales throughout the Hierarchy -- Chapter Summary -- 9. Epilogue -- What We Know -- What We Don't Know -- Frontier Issues -- What I Did Not Cover -- Appendix -- Relation between Power-Law Exponent and Slope (Chapters 1 and 6) -- When the Average Value of a Power Law Diverges and When It Does Not (Chapters 1 and 6) -- Long-Range Temporal Correlations (Chapters 1, 6, and 8) -- Informal Derivation of the Exponent Relation (Chapters 3, 5, 6, 7, and 8) -- Avalanche Shape Collapse (Chapters 3, 5, 6, and 8) -- How to Quantify Network Dynamics (Chapters 4 and 8) -- Software and Data for Exercises and Analyses -- Notes -- Chapter 1 -- Chapter 2 -- Chapter 3 -- Chapter 4 -- Chapter 5 -- Chapter 6 -- Chapter 7 -- Chapter 8 -- References -- Index. English "A survey of the criticality hypothesis which imports theory from physics to understand the brain and could be a grand unifying theory of the brain at a time when neuroscience is dominated by data"-- Provided by publisher. OCLC-licensed vendor bibliographic record. Cerebral cortex. Brain. Neurology. SCIENCE / Life Sciences / Neuroscience SCIENCE / Physics / General COMPUTERS / Data Science / Neural Networks 0-262-54403-2 |
language |
English |
format |
eBook |
author |
Beggs, John M., |
spellingShingle |
Beggs, John M., The cortex and the critical point : understanding the power of emergence / The MIT Press Intro -- Contents -- Acknowledgments -- Introduction -- The Critical Point in Context -- The Goals and Structure of This Book -- I. Background -- 1. The Main Idea -- A Simple Model -- Optimal Information Processing -- The Appearance of Emergent Phenomena -- Power Laws -- Avalanches -- A Phase Transition -- From a Model to Data -- The Criticality Hypothesis -- Objections and Responses to the Criticality Hypothesis -- Chapter Summary -- 2. Emergent Phenomena -- Methodological Reductionism -- The Wave as an Emergent Phenomenon -- Emergent Phenomena in the Brain -- A Simple Model of Emergent Phenomena in the Brain -- Complex Emergent Phenomena Occur at a Phase Transition -- More Complex Emergent Phenomena? -- How to Study Emergent Phenomena -- Chapter Summary -- II. The Critical Point and Its Consequences -- 3. The Critical Point -- The Branching Model: A Branching Ratio Near 1 -- The Branching Model: A Phase Transition with Control and Order Parameters -- The Branching Model: An Exponent Relation between Multiple Power Laws -- The Branching Model: Fractal Copies of Avalanches -- Signatures of Being near the Critical Point -- Signatures of the Critical Point from the Data -- In Vitro Experiments -- Data: A Branching Ratio near 1 -- Data: A Phase Transition with Control and Order Parameters -- Data: An Exponent Relation between Multiple Power Laws -- Data: Fractal Copies of Avalanches -- Objections to These Signatures of Criticality -- Chapter Summary -- 4. Optimality -- The Branching Model: Information Transmission -- The Branching Model: Dynamic Range -- The Branching Model: Susceptibility -- Data: Dynamic Range -- Data: Information Transmission -- Data: Susceptibility -- Other Predictions Yet to Be Tested -- Chapter Summary -- 5. Universality -- Universality in Physical Systems -- Universality in the Cortex: Indicators. Indicators Seen across Species -- Indicators Seen across Scales -- Described by a Simple Model -- Chapter Summary -- III. Future Directions -- 6. Homeostasis and Health -- Homeostasis toward the Critical Point after a Major Perturbation -- Sleep and Homeostasis toward the Critical Point -- Sensory Adaptation toward the Critical Point -- Development toward the Critical Point -- Themes from Homeostasis Results -- Health -- Chapter Summary -- 7. Quasicriticality -- Universality: Unfinished Issues -- A Possible Solution: Quasicriticality -- Another View: Slightly Subcritical -- Another View: Subsampling -- Another View: Griffiths Phase -- Chapter Summary -- 8. Cortex -- The Expansion of Cortical Area -- Associations of Associations -- The Special Role of Layers 2 and 3 -- Multifunctionality and the Critical Point -- Nearly Critical in Layers 2 and 3, but Not in Layer 5 -- Staying Nearly Critical While Learning -- Timescales throughout the Hierarchy -- Chapter Summary -- 9. Epilogue -- What We Know -- What We Don't Know -- Frontier Issues -- What I Did Not Cover -- Appendix -- Relation between Power-Law Exponent and Slope (Chapters 1 and 6) -- When the Average Value of a Power Law Diverges and When It Does Not (Chapters 1 and 6) -- Long-Range Temporal Correlations (Chapters 1, 6, and 8) -- Informal Derivation of the Exponent Relation (Chapters 3, 5, 6, 7, and 8) -- Avalanche Shape Collapse (Chapters 3, 5, 6, and 8) -- How to Quantify Network Dynamics (Chapters 4 and 8) -- Software and Data for Exercises and Analyses -- Notes -- Chapter 1 -- Chapter 2 -- Chapter 3 -- Chapter 4 -- Chapter 5 -- Chapter 6 -- Chapter 7 -- Chapter 8 -- References -- Index. |
author_facet |
Beggs, John M., |
author_variant |
j m b jm jmb |
author_role |
VerfasserIn |
author_sort |
Beggs, John M., |
title |
The cortex and the critical point : understanding the power of emergence / |
title_sub |
understanding the power of emergence / |
title_full |
The cortex and the critical point : understanding the power of emergence / John M. Beggs. |
title_fullStr |
The cortex and the critical point : understanding the power of emergence / John M. Beggs. |
title_full_unstemmed |
The cortex and the critical point : understanding the power of emergence / John M. Beggs. |
title_auth |
The cortex and the critical point : understanding the power of emergence / |
title_new |
The cortex and the critical point : |
title_sort |
the cortex and the critical point : understanding the power of emergence / |
series |
The MIT Press |
series2 |
The MIT Press |
publisher |
The MIT Press, |
publishDate |
2022 |
physical |
1 online resource (217 pages) |
edition |
1st ed. |
contents |
Intro -- Contents -- Acknowledgments -- Introduction -- The Critical Point in Context -- The Goals and Structure of This Book -- I. Background -- 1. The Main Idea -- A Simple Model -- Optimal Information Processing -- The Appearance of Emergent Phenomena -- Power Laws -- Avalanches -- A Phase Transition -- From a Model to Data -- The Criticality Hypothesis -- Objections and Responses to the Criticality Hypothesis -- Chapter Summary -- 2. Emergent Phenomena -- Methodological Reductionism -- The Wave as an Emergent Phenomenon -- Emergent Phenomena in the Brain -- A Simple Model of Emergent Phenomena in the Brain -- Complex Emergent Phenomena Occur at a Phase Transition -- More Complex Emergent Phenomena? -- How to Study Emergent Phenomena -- Chapter Summary -- II. The Critical Point and Its Consequences -- 3. The Critical Point -- The Branching Model: A Branching Ratio Near 1 -- The Branching Model: A Phase Transition with Control and Order Parameters -- The Branching Model: An Exponent Relation between Multiple Power Laws -- The Branching Model: Fractal Copies of Avalanches -- Signatures of Being near the Critical Point -- Signatures of the Critical Point from the Data -- In Vitro Experiments -- Data: A Branching Ratio near 1 -- Data: A Phase Transition with Control and Order Parameters -- Data: An Exponent Relation between Multiple Power Laws -- Data: Fractal Copies of Avalanches -- Objections to These Signatures of Criticality -- Chapter Summary -- 4. Optimality -- The Branching Model: Information Transmission -- The Branching Model: Dynamic Range -- The Branching Model: Susceptibility -- Data: Dynamic Range -- Data: Information Transmission -- Data: Susceptibility -- Other Predictions Yet to Be Tested -- Chapter Summary -- 5. Universality -- Universality in Physical Systems -- Universality in the Cortex: Indicators. Indicators Seen across Species -- Indicators Seen across Scales -- Described by a Simple Model -- Chapter Summary -- III. Future Directions -- 6. Homeostasis and Health -- Homeostasis toward the Critical Point after a Major Perturbation -- Sleep and Homeostasis toward the Critical Point -- Sensory Adaptation toward the Critical Point -- Development toward the Critical Point -- Themes from Homeostasis Results -- Health -- Chapter Summary -- 7. Quasicriticality -- Universality: Unfinished Issues -- A Possible Solution: Quasicriticality -- Another View: Slightly Subcritical -- Another View: Subsampling -- Another View: Griffiths Phase -- Chapter Summary -- 8. Cortex -- The Expansion of Cortical Area -- Associations of Associations -- The Special Role of Layers 2 and 3 -- Multifunctionality and the Critical Point -- Nearly Critical in Layers 2 and 3, but Not in Layer 5 -- Staying Nearly Critical While Learning -- Timescales throughout the Hierarchy -- Chapter Summary -- 9. Epilogue -- What We Know -- What We Don't Know -- Frontier Issues -- What I Did Not Cover -- Appendix -- Relation between Power-Law Exponent and Slope (Chapters 1 and 6) -- When the Average Value of a Power Law Diverges and When It Does Not (Chapters 1 and 6) -- Long-Range Temporal Correlations (Chapters 1, 6, and 8) -- Informal Derivation of the Exponent Relation (Chapters 3, 5, 6, 7, and 8) -- Avalanche Shape Collapse (Chapters 3, 5, 6, and 8) -- How to Quantify Network Dynamics (Chapters 4 and 8) -- Software and Data for Exercises and Analyses -- Notes -- Chapter 1 -- Chapter 2 -- Chapter 3 -- Chapter 4 -- Chapter 5 -- Chapter 6 -- Chapter 7 -- Chapter 8 -- References -- Index. |
isbn |
0-262-37034-4 0-262-54403-2 |
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QP - Physiology |
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600 - Technology |
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610 - Medicine & health |
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612 - Human physiology |
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612.8/25 |
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3612.8 225 |
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612.8/25 |
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612.8/25 |
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1333708308 |
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The cortex and the critical point : understanding the power of emergence / |
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