Laboratory for Social and Neural Systems Research (SNS Lab) Page 1 Nonlinear Oscillations Seminar talk based on Chapter 8 of the book “Spikes, Decisions,

Slides:



Advertisements
Similar presentations
Higher-order linear dynamical systems Kay Henning Brodersen Computational Neuroeconomics Group Department of Economics, University of Zurich Machine Learning.
Advertisements

Differential Geometry Applied to Dynamical Systems
An introduction to prey-predator Models
Arshak Grigoryan Project for Math. Modeling. Predator-Prey model (By Odell) Lets consider one of the variations of the Odell`s model where x, y are population.
Action Potentials and Limit Cycles Computational Neuroeconomics and Neuroscience Spring 2011 Session 8 on , presented by Falk Lieder.
Application of Perturbation Methods to Approximate the Solutions to Static and Non-linear Oscillatory Problems FINAL.
2.3. Nonlinear Electrical Phenomena
Chapter 11 Section 2 Introduction to Difference Equations II.
Graphing the Set of All Solutions ~adapted from walch education.
6.1 – Graphing Systems of Equations
Analysis of the Rossler system Chiara Mocenni. Considering only the first two equations and ssuming small z The Rossler equations.
Thinking Mathematically Algebra: Graphs, Functions and Linear Systems 7.3 Systems of Linear Equations In Two Variables.
Chapter 7 – Solving Systems of Linear Equations
Asymptotic Techniques
CHAPTER 7-1 SOLVING SYSTEM OF EQUATIONS. WARM UP  Graph the following linear functions:  Y = 2x + 2  Y = 1/2x – 3  Y = -x - 1.
Simple Chaotic Systems and Circuits
Boyce/DiPrima 9th ed, Ch 9.7: Periodic Solutions and Limit Cycles Elementary Differential Equations and Boundary Value Problems, 9th edition, by William.
TEST 1 REVIEW. Single Species Discrete Equations Chapter 1 in Text, Lecture 1 and 2 Notes –Homogeneous (Bacteria growth), Inhomogeneous (Breathing model)
1 System physiology – on the design Petr Marsalek Class: Advances in biomedical engineering Graduate course, biomedical engineering.
Class 5: Question 1 Which of the following systems of equations can be represented by the graph below?
Phase Diagrams Quick Review of Linear Oscillator (Ch.3) Consider a 1d Linear Oscillator: Its state of motion is completely specified if two quantities.
Biological Rhythms: From Clocks to Chaos Henri Poincaré started it all.
Computational models for imaging analyses Zurich SPM Course February 6, 2015 Christoph Mathys.
Chapter 8 Systems of Linear Equations in Two Variables Section 8.2.
Simplified Models of Single Neuron Baktash Babadi Fall 2004, IPM, SCS, Tehran, Iran
Simplifying and Solving Medina.
Solving Linear Systems by Substitution O Chapter 7 Section 2.
Motivation As we’ve seen, chaos in nonlinear oscillator systems, such as the driven damped pendulum discussed last time is very complicated! –The nonlinear.
1.3 Solving with Variables on Both Sides. What We Will Learn Solve linear equations that have variables on both sides Identify special solutions.
Section 2.5 Solving Linear Inequalities
Learning Targets I will be able to… *Solve absolute value equations *Decide if an absolute value equation has no solutions or infinite solutions.
Biological Modeling of Neural Networks Week 4 – Reducing detail - Adding detail Wulfram Gerstner EPFL, Lausanne, Switzerland 3.1 From Hodgkin-Huxley to.
Chapter 3 Examples Section 5 Solving System of Equations Algebraically with 3 variables.
Y = 3x x + y = -1  (-1, 1) is where the two lines intersect.  This point is a point on both lines.  Therefore, if we substitute -1 in for.
Solving Linear Systems by Substitution
Analysis of the Rossler system Chiara Mocenni. Considering only the first two equations and assuming small z, we have: The Rossler equations.
Chapter 3 Section 3.7 Graphing Linear Inequalities.
Section 2.5 Linear Inequalities in One Variable (Interval Notation)
Chapter 8 Systems of Linear Equations in Two Variables Section 8.3.
Family of Functions, review Which functions are nonlinear? Select all that apply.
Solving multi step equations. 12X + 3 = 4X X 12X + 3 = 3X X 9X + 3 = X = X =
Biological Modeling of Neural Networks Week 4 Reducing detail: Analysis of 2D models Wulfram Gerstner EPFL, Lausanne, Switzerland 3.1 From Hodgkin-Huxley.
Solving Systems of Linear Equations in 2 Variables Section 4.1.
Various Applications of Hopf Bifurcations Matt Mulvehill, Kaleb Mitchell, Niko Lachman.
Warm-Up: Solve and Graph  1.  2.. CHAPTER 6 SECTION 4 Solving Absolute-Value Equations and Inequalities.
Biointelligence Laboratory, Seoul National University
From: Time Delay Control for Two van der Pol Oscillators
Systems of Equations can be linear or non-linear
Chapter 10 Conic Sections.
Date of download: 10/27/2017 Copyright © ASME. All rights reserved.
Linear Systems November 28, 2016.
Solving System of Linear Equations
Chapter 7 – Systems of Linear Equations and Inequalities
Biointelligence Laboratory, Seoul National University
6-2 Solving Systems using Substitution
One- and Two-Dimensional Flows
Linear Inequalities.
Systems of Linear First-Order Differential Equations
7.1 System of Equations Solve by graphing.
Systems of Equations and Inequalities
Linear Inequalities.
Chapter 4 Review.
When you replace the equals sign in a linear equation by one of the inequality symbols, you now have a linear inequality. Examples: 1 2 y > x + 1 2x –
Chapter 9 Lesson 3 Pg. 699 Solving Systems of Equations by Graphing
Linear and Nonlinear Systems of Equations
Linear and Nonlinear Systems of Equations
Chapter 9 Lesson 3 Pg. 699 Solving Systems of Equations by Graphing
Solving a System of Linear Equations
When you replace the equals sign in a linear equation by one of the inequality symbols, you now have a linear inequality. Examples: 1 2 y > x + 1 2x –
人間の二足歩行モデルにおけるシミュレーション
Presentation transcript:

Laboratory for Social and Neural Systems Research (SNS Lab) Page 1 Nonlinear Oscillations Seminar talk based on Chapter 8 of the book “Spikes, Decisions, and Actions” by Hugh R. Wilson April 13, 2011 Christoph Mathys

Outline April 13, 2011Spikes, Decisions and Actions - Nonlinear Oscillations (Chapter 8) Christoph MathysPage 2 –The point of nonlinearity –Oscillations and limit cycles –N – S = 1 in the plane (Poincaré) –Poincaré-Bendixson –Wilson-Cowan network oscillator –FitzHugh-Nagumo equations –Hopf bifurcations –Van der Pol equation –Delayed negative feedback –Adaptation and perceptual reversals

The point of nonlinearity April 13, 2011Spikes, Decisions and Actions - Nonlinear Oscillations (Chapter 8) Christoph MathysPage 3 –In linear systems, there are infinitely many periodic solutions within any sufficiently small neighborhood of a given oscillation. –Nonlinear systems, however, can generate isolated oscillations that are surrounded by open, non-oscillatory trajectories that either spiral toward or away from the oscillation. –Therefore, nonlinear systems capture biological reality better.

Oscillations and limit cycles April 13, 2011Spikes, Decisions and Actions - Nonlinear Oscillations (Chapter 8) Christoph MathysPage 4

Oscillations and limit cycles April 13, 2011Spikes, Decisions and Actions - Nonlinear Oscillations (Chapter 8) Christoph MathysPage 5

N – S = 1 in the plane (Poincaré) April 13, 2011Spikes, Decisions and Actions - Nonlinear Oscillations (Chapter 8) Christoph MathysPage 6

N – S = 1 in the plane (Poincaré) April 13, 2011Spikes, Decisions and Actions - Nonlinear Oscillations (Chapter 8) Christoph MathysPage 7

Poincaré-Bendixson April 13, 2011Spikes, Decisions and Actions - Nonlinear Oscillations (Chapter 8) Christoph MathysPage 8

Poincaré-Bendixson April 13, 2011Spikes, Decisions and Actions - Nonlinear Oscillations (Chapter 8) Christoph MathysPage 9

Wilson-Cowan network oscillator April 13, 2011Spikes, Decisions and Actions - Nonlinear Oscillations (Chapter 8) Christoph MathysPage 10

Wilson-Cowan network oscillator April 13, 2011Spikes, Decisions and Actions - Nonlinear Oscillations (Chapter 8) Christoph MathysPage 11

FitzHugh-Nagumo equations April 13, 2011Spikes, Decisions and Actions - Nonlinear Oscillations (Chapter 8) Christoph MathysPage 12

Hopf bifurcations April 13, 2011Spikes, Decisions and Actions - Nonlinear Oscillations (Chapter 8) Christoph MathysPage 13

Hopf bifurcations April 13, 2011Spikes, Decisions and Actions - Nonlinear Oscillations (Chapter 8) Christoph MathysPage 14

Van der Pol equation (heart rhythm) April 13, 2011Spikes, Decisions and Actions - Nonlinear Oscillations (Chapter 8) Christoph MathysPage 15

Van der Pol equation (heart rhythm) April 13, 2011Spikes, Decisions and Actions - Nonlinear Oscillations (Chapter 8) Christoph MathysPage 16

Delayed negative feedback April 13, 2011Spikes, Decisions and Actions - Nonlinear Oscillations (Chapter 8) Christoph MathysPage 17

Adaptation and perceptual reversals April 13, 2011Spikes, Decisions and Actions - Nonlinear Oscillations (Chapter 8) Christoph MathysPage 18

Adaptation and perceptual reversals April 13, 2011Spikes, Decisions and Actions - Nonlinear Oscillations (Chapter 8) Christoph MathysPage 19

Adaptation and perceptual reversals April 13, 2011Spikes, Decisions and Actions - Nonlinear Oscillations (Chapter 8) Christoph MathysPage 20

Adaptation and perceptual reversals April 13, 2011Spikes, Decisions and Actions - Nonlinear Oscillations (Chapter 8) Christoph MathysPage 21