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Basic Models in Theoretical Neuroscience Oren Shriki 2010 Differential Equations.

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Presentation on theme: "Basic Models in Theoretical Neuroscience Oren Shriki 2010 Differential Equations."— Presentation transcript:

1 Basic Models in Theoretical Neuroscience Oren Shriki 2010 Differential Equations

2 Two Types of Dynamical Systems Differential equations: Describe the evolution of systems in continuous time. Difference equations / Iterated maps: Describe the evolution of systems in discrete time.

3 What is a Differential Equation? Any equation of the form: For example:

4 Order of a Differential Equation The order of a differential equation is the order of the highest derivative in the equation. A differential equation of order n has the form:

5 1 st Order Differential Equations A 1 st order differential equation has the form: For example:

6 Separable Differential Equations Separable equations have the form: For example:

7 Separable Differential Equations How to solve separable equations? If h(y)≠0 we can write: Integrating both sides with respect to x we obtain:

8 Separable Differential Equations By substituting: We obtain:

9 Example 1

10 Example 2 Integrating the left side:

11 Example 2 (cont.) Integrating the right side: Thus:

12 Linear Differential Equations The standard form of a 1 st order linear differential equation is: For example:

13 Linear Differential Equations General solution: Suppose we know a function v(x) such that: Multiplying the equation by v(x) we obtain:

14 Linear Differential Equations The condition on v(x) is: This leads to:

15 Linear Differential Equations The last equation will be satisfied if: This is a separable equation:

16 Linear Differential Equations To sum up: Where:

17 Example Solution:

18 Example (cont.)

19 Derivative with respect to time We denote (after Newton):


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