Jaeseung Jeong, Ph.D Department of Bio and Brain Engineering, KAIST

Slides:

Advertisements

Similar presentations

Driving fast-spiking cells induces gamma rhythm and controls sensory responses Driving fast-spiking cells induces gamma rhythm and controls sensory responses.

Advertisements

Slow oscillation, Fast oscillation, and its interactions

Neural Synchronization Jaeseung Jeong, Ph.D Department of Bio and Brain Engineering, KAIST.

Figure Functional hierarchy of the peripheral nervous system.

The abrupt transition from theta to hyper- excitable spiking activity in stellate cells from layer II of the medial entorhinal cortex Horacio G. Rotstein.

Rhythm sequence through the olfactory bulb layers during the time window of a respiratory cycle Buonviso, N., Amat, C., Litaudon, P., Roux, S., Royet,

[week 1 Introduction] How we understand ‘human mind’ from the brain? Jaeseung Jeong, Ph.D Department of Bio and Brain Engineering, KAIST.

Brain Rhythms and Short-Term Memory Earl K. Miller The Picower Institute for Learning and Memory and Department of Brain and Cognitive Sciences, Massachusetts.

By Annemari de Silva Supervised by Prof. Peter Robinson.

Neuromodulation - signal-to-noise - switching - burst/single spike - oscillations.

Figure 48.0 A neuron on a microprocessor

Perspective: Neuronal Oscillations In Brain Operation Cognitive Neuroscience Treatment Research to Improve Cognition in Schizophrenia ( CNTRICS) April,

Structure and function

Universal Neuroanatomy. Density of Connections How many connections will it take to link a square with every other square of the same size?

Biologically Inspired Robotics Group,EPFL Associative memory using coupled non-linear oscillators Semester project Final Presentation Vlad TRIFA.

Functional Brain Signal Processing: Current Trends and Future Directions Kaushik Majumdar Indian Statistical Institute Bangalore Center

Stochastic Resonance and its implications for the brain Jaeseung Jeong, Ph.D Department of Bio and Brain Engineering, KAIST.

Bursting dynamics in the brain Jaeseung Jeong, Department of Bio and Brain Engineering, KAIST.

Changes in Phase Amplitude Coupling in Treatment- Resistant Depression (TRD) due to Deep Brain Stimulation(DBS) Presentation for IEEE EMBS Rehman Ali.

Testing computational models of dopamine and noradrenaline dysfunction in attention deficit/hyperactivity disorder Jaeseung Jeong, Ph.D Department of Bio.

The origin of complexity Jaeseung Jeong, Ph.D. Department of Bio and Brain Engineering, KAIST.

Human Brain and Behavior Laborator y. Mathematics Chemistry Biomedical science Psychology Physics Biology Engineering Philosophy Complexity.

Week 14 The Memory Function of Sleep Group 3 Tawni Voyles Alyona Koneva Bayou Wang.

The Function of Synchrony Marieke Rohde Reading Group DyStURB (Dynamical Structures to Understand Real Brains)

Introduction: Brain Dynamics Jaeseung Jeong, Ph.D Department of Bio and Brain Engineering, KAIST.

Biological Neural Network & Nonlinear Dynamics Biological Neural Network Similar Neural Network to Real Neural Networks Membrane Potential Potential of.

Rhythms and Cognition: Creation and Coordination of Cell Assemblies Nancy Kopell Center for BioDynamics Boston University.

Review – Objectives Transitioning 4-5 Spikes can be detected from many neurons near the electrode tip. What are some ways to determine which spikes belong.

Ch 9. Rhythms and Synchrony 9.7 Adaptive Cooperative Systems, Martin Beckerman, Summarized by M.-O. Heo Biointelligence Laboratory, Seoul National.

What is Brain dynamics? Jaeseung Jeong, Ph.D Department of Bio and Brain Engineering, Program of Brain and Cognitive Engineering, KAIST.

Date of download: 6/28/2016 Copyright © 2016 American Medical Association. All rights reserved. From: Teamwork Matters: Coordinated Neuronal Activity in.

PHYSIOLOGY LAB EEG I. The cerebral cortex is composed of nerve cells, many of which are functionally connected to each other, and connected to other parts.

Introduction to Biomedical Equipment Technology

Integrated Science Unit 4, Chapter 11.

Theta, Gamma, and Working Memory

3) determine motion and sound perceptions.

Different coding schemes in dorsal and ventral hippocampus

Advanced applications of the GLM: Cross-frequency coupling

Cycle 8: Gamma oscillations

Neural Oscillations Continued

Advanced applications of the GLM: Cross-frequency coupling

Mind Control of Systems

Information Processing by Neuronal Populations

Theta Rhythm: Temporal Glue for Episodic Memory

Lecture 7: Biological Network Crosstalk Y. Z

DCM for Time-Frequency

Classification functions of chaotic pulse-coupled networks

Presentation of Article:

Synchrony & Perception

Hugh Pastoll, Lukas Solanka, Mark C.W. van Rossum, Matthew F. Nolan

Shigeyoshi Fujisawa, György Buzsáki Neuron

Progress Seminar 권순빈.

1/f, Zipf’s law and Fractal in the brain

Ch. 1. How could populations of neurons encode information

Review - Objectives Describe what is meant by levels of explanation, name an advantage or disadvantage of each. Describe how ‘top-down” inquiry differs.

Kaushik Majumdar Center for Complex Systems and Brain Sciences

Relating Hippocampal Circuitry to Function

Volume 97, Issue 1, Pages (January 2018)

Synaptic Plasticity, Engrams, and Network Oscillations in Amygdala Circuits for Storage and Retrieval of Emotional Memories Marco Bocchio, Sadegh Nabavi,

Sparsely Synchronized Brain Rhythm in A Small-World Neural Network

Bálint Lasztóczi, Thomas Klausberger Neuron

Unit 4 - Energy Learning Target 4.5 – Understand & describe wave interference (constructive & destructive).

Gamma oscillations are modulated by theta phase in the rat hippocampus

Identification of phasic activity bursts in the dentate gyrus.

Rapid Neocortical Dynamics: Cellular and Network Mechanisms

Advanced applications of the GLM: Cross-frequency coupling

Shunting Inhibition Modulates Neuronal Gain during Synaptic Excitation

Theta phase synchronization between the hippocampus and the prefrontal cortex during decision making in the postlearning phase. Theta phase synchronization.

Presentation transcript:

Jaeseung Jeong, Ph.D Department of Bio and Brain Engineering, KAIST Cross-Frequency Phase–Phase Coupling between Theta and Gamma Oscillations Jaeseung Jeong, Ph.D Department of Bio and Brain Engineering, KAIST

Neuronal oscillations allow for temporal segmentation of neuronal spikes. Interdependent oscillators can integrate multiple layers of information. Neuronal oscillations are a natural mechanism for forming cell assemblies since most brain oscillations are inhibition based, and inhibition can segregate spike train messages. The cerebral cortex generates multitudes of oscillations at different frequencies, but how the various rhythms interact with each other is not well understood.

A well-studied mechanism is cross-frequency coupling A well-studied mechanism is cross-frequency coupling. As described first in the hippocampus, the phase of theta oscillations biases the amplitude of the gamma waves [phase–amplitude (P–A) coupling or “nested” oscillations].

What is the role for theta-gamma coupling?