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Rhythms of the brain
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TLDR
The brain's default state: self-organized oscillations in rest and sleep, and perturbation of the default patterns by experience.Abstract:
Prelude. Cycle 1. Introduction. Cycle 2. Structure defines function. Cycle 3. Diversity of cortical functions is provided by inhibition. Cycle 4. Windows on the brain. Cycle 5. A system of rhythms: from simple to complex dynamics. Cycle 6. Synchronization by oscillation. Cycle 7. The brain's default state: self-organized oscillations in rest and sleep. Cycle 8. Perturbation of the default patterns by experience. Cycle 9. The gamma buzz: gluing by oscillations in the waking brain. Cycle 10. Perceptions and actions are brain state-dependent. Cycle 11. Oscillations in the "other cortex:" navigation in real and memory space. Cycle 12. Coupling of systems by oscillations. Cycle 13. The tough problem. References.read more
Citations
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Journal ArticleDOI
A Novel Extended Granger Causal Model Approach Demonstrates Brain Hemispheric Differences during Face Recognition Learning
TL;DR: Face discrimination learning-induced changes in inter- and intra-hemispheric connectivity and in the hemispheric predominance of theta and gamma frequency oscillations in sheep inferotemporal cortex are demonstrated.
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Neocortical pathological high-frequency oscillations are associated with frequency-dependent alterations in functional network topology
George M. Ibrahim,Ryan Anderson,Tomoyuki Akiyama,Ayako Ochi,Hiroshi Otsubo,Gabrielle Singh-Cadieux,Elizabeth J. Donner,James T. Rutka,O. Carter Snead,O. Carter Snead,Sam M. Doesburg,Sam M. Doesburg +11 more
TL;DR: The view that abnormal network synchronization plays a critical role in ictogenesis and seizure dynamics is supported by the observation that functional isolation of epileptogenic cortex at high frequencies is absent at seizure termination.
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Scale and frequency chauvinism in brain dynamics: too much emphasis on gamma band oscillations
Paul L. Nunez,Ramesh Srinivasan +1 more
TL;DR: This letter questions the assumption by many neuroscientists that the most important aspects of human cognition are based mainly or even exclusively on the catch-all category labeled “gamma oscillations.”
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Astrocytic modulation of cortical oscillations.
TL;DR: Electrophysiological recordings are used to explore the involvement of astrocytic K+ clearance processes in modulating neural oscillations at both network and cellular levels and suggest modulation of their inherent capabilities to clear K+ from the extracellular milieu is a potential mechanism to optimise neural resonance behaviour and thus tune Neural oscillations.
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Pattern formation in diffusive excitable systems under magnetic flow effects
TL;DR: In this article, the spatiotemporal formation of patterns in a diffusive FitzHugh-Nagumo network was studied, where the effect of electromagnetic induction has been introduced in the standard mathematical model by using magnetic flux, and the modulation of magnetic flux on membrane potential is realized by using memristor coupling.
References
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Journal ArticleDOI
Collective dynamics of small-world networks
TL;DR: Simple models of networks that can be tuned through this middle ground: regular networks ‘rewired’ to introduce increasing amounts of disorder are explored, finding that these systems can be highly clustered, like regular lattices, yet have small characteristic path lengths, like random graphs.
Book
The Fractal Geometry of Nature
TL;DR: This book is a blend of erudition, popularization, and exposition, and the illustrations include many superb examples of computer graphics that are works of art in their own right.
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The magical number seven, plus or minus two: some limits on our capacity for processing information
TL;DR: The theory of information as discussed by the authors provides a yardstick for calibrating our stimulus materials and for measuring the performance of our subjects and provides a quantitative way of getting at some of these questions.
Journal ArticleDOI
The relation of strength of stimulus to rapidity of habit-formation
Robert M. Yerkes,John D. Dodson +1 more
TL;DR: In connection with a study of various aspects of the modifiability of behavior in the dancing mouse a need for definite knowledge concerning the relation of strength of stimulus to rate of learning arose, the experiments which are now to be described arose.
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EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis
TL;DR: In this article, it is suggested to adjust the frequency windows of alpha and theta for each subject by using individual alpha frequency as an anchor point, based on this procedure, a consistent interpretation of a variety of findings is made possible.
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