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Neuronal Dynamics: Computational Neuroscience of Single Neurons Week 4 – Reducing detail: Two-dimensional neuron models Wulfram Gerstner EPFL, Lausanne, Switzerland 4.1 From Hodgkin-Huxley to 2D 4.2 Phase Plane Analysis - Role of nullcline 4.3 Analysis of a 2D Neuron Model - MathDetour 3: Stability of fixed points 4.4 Type I and II Neuron Models - where is the firing threshold? - separation of time scales 4.5. Nonlinear Integrate-and-fire - from two to one dimension Week 4 – MathDetour 3: Stability of fixed points
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Page 1: Week 4 – MathDetour 3: Stability of fixed points From ... · Week 4 – Reducing detail: Two-dimensional neuron models Wulfram Gerstner EPFL, Lausanne, Switzerland 4.1 From Hodgkin-Huxley

Neuronal Dynamics: Computational Neuroscience of Single Neurons Week 4 – Reducing detail: Two-dimensional neuron models Wulfram Gerstner EPFL, Lausanne, Switzerland

4.1 From Hodgkin-Huxley to 2D 4.2 Phase Plane Analysis

- Role of nullcline 4.3 Analysis of a 2D Neuron Model - MathDetour 3: Stability of fixed points 4.4 Type I and II Neuron Models - where is the firing threshold? - separation of time scales 4.5. Nonlinear Integrate-and-fire - from two to one dimension

Week 4 – MathDetour 3: Stability of fixed points

Page 2: Week 4 – MathDetour 3: Stability of fixed points From ... · Week 4 – Reducing detail: Two-dimensional neuron models Wulfram Gerstner EPFL, Lausanne, Switzerland 4.1 From Hodgkin-Huxley

0=dtdu

0=dtdww

u I(t)=I0

u-nullcline

w-nullcline

Neuronal Dynamics – Detour 4.3 : Stability of fixed points.

0( , )du F u w RIdt

τ = +

0 1wdw b bu wdt

τ = + −

stable?

Page 3: Week 4 – MathDetour 3: Stability of fixed points From ... · Week 4 – Reducing detail: Two-dimensional neuron models Wulfram Gerstner EPFL, Lausanne, Switzerland 4.1 From Hodgkin-Huxley

Neuronal Dynamics – 4.3 Detour. Stability of fixed points 2-dimensional equation

0( , )du F u w RIdt

τ = +

stimulus

),( wuGdtdw

w =τ

How to determine stability of fixed point?

Page 4: Week 4 – MathDetour 3: Stability of fixed points From ... · Week 4 – Reducing detail: Two-dimensional neuron models Wulfram Gerstner EPFL, Lausanne, Switzerland 4.1 From Hodgkin-Huxley

0=dtdu

0=dtdw

w

u I(t)=I0

unstable saddle stable

Neuronal Dynamics – 4.3 Detour. Stability of fixed points

0Iwaudtdu

+−=τ

stimulus

wucdtdw

w −=τ

Page 5: Week 4 – MathDetour 3: Stability of fixed points From ... · Week 4 – Reducing detail: Two-dimensional neuron models Wulfram Gerstner EPFL, Lausanne, Switzerland 4.1 From Hodgkin-Huxley

unstable saddle stable

Neuronal Dynamics – 4.3 Detour. Stability of fixed points

0=dtdu

0=dtdww

u I(t)=I0

u-nullcline

w-nullcline 0( , )du F u w RI

dtτ = +

( , )wdw G u wdt

τ = stable?

zoom in:

Math derivation now

Page 6: Week 4 – MathDetour 3: Stability of fixed points From ... · Week 4 – Reducing detail: Two-dimensional neuron models Wulfram Gerstner EPFL, Lausanne, Switzerland 4.1 From Hodgkin-Huxley

Neuronal Dynamics – 4.3 Detour. Stability of fixed points

0( , )du F u w RIdt

τ = +

( , )wdw G u wdt

τ =

zoom in: 0

0

x u uy w w= −

= −

Fixed point at 0 0( , )u w

At fixed point 0 0 00 ( , )F u w RI= +

0 00 ( , )G u w=

Page 7: Week 4 – MathDetour 3: Stability of fixed points From ... · Week 4 – Reducing detail: Two-dimensional neuron models Wulfram Gerstner EPFL, Lausanne, Switzerland 4.1 From Hodgkin-Huxley

Neuronal Dynamics – 4.3 Detour. Stability of fixed points

0( , )du F u w RIdt

τ = +

( , )wdw G u wdt

τ =

zoom in: 0

0

x u uy w w= −

= −

Fixed point at 0 0( , )u w

At fixed point 0 0 00 ( , )F u w RI= +

0 00 ( , )G u w=

u wdx F x F ydt

τ = +

w u wdy G x G ydt

τ = +

Page 8: Week 4 – MathDetour 3: Stability of fixed points From ... · Week 4 – Reducing detail: Two-dimensional neuron models Wulfram Gerstner EPFL, Lausanne, Switzerland 4.1 From Hodgkin-Huxley

Neuronal Dynamics – 4.3 Detour. Stability of fixed points Linear matrix equation

Search for solution

Two solution with Eigenvalues ,λ λ+ −

u wF Gλ λ+ −+ = +

u w w uF G F Gλ λ+ − = −

Page 9: Week 4 – MathDetour 3: Stability of fixed points From ... · Week 4 – Reducing detail: Two-dimensional neuron models Wulfram Gerstner EPFL, Lausanne, Switzerland 4.1 From Hodgkin-Huxley

Neuronal Dynamics – 4.3 Detour. Stability of fixed points Linear matrix equation

Search for solution

Two solution with Eigenvalues ,λ λ+ −

u wF Gλ λ+ −+ = +

u w w uF G F Gλ λ+ − = −

Stability requires: 0 0andλ λ+ −< <

0u wF G+ <

0u w w uF G F G− >and

Page 10: Week 4 – MathDetour 3: Stability of fixed points From ... · Week 4 – Reducing detail: Two-dimensional neuron models Wulfram Gerstner EPFL, Lausanne, Switzerland 4.1 From Hodgkin-Huxley

0=dtdu

0=dtdw

w

u I(t)=I0

unstable saddle stable

Neuronal Dynamics – 4.3 Detour. Stability of fixed points

0Iwaudtdu

+−=τ

stimulus

wucdtdw

w −=τ

/λ+ − =

Page 11: Week 4 – MathDetour 3: Stability of fixed points From ... · Week 4 – Reducing detail: Two-dimensional neuron models Wulfram Gerstner EPFL, Lausanne, Switzerland 4.1 From Hodgkin-Huxley

Neuronal Dynamics – 4.3 Detour. Stability of fixed points 2-dimensional equation

0( , )du F u w RIdt

τ = +

),( wuGdtdw

w =τ

Stability characterized by Eigenvalues of linearized equations

Page 12: Week 4 – MathDetour 3: Stability of fixed points From ... · Week 4 – Reducing detail: Two-dimensional neuron models Wulfram Gerstner EPFL, Lausanne, Switzerland 4.1 From Hodgkin-Huxley

Neuronal Dynamics – Assignment.

Stability analysis of 2-dimensional equations is important for the homework assignment of week 4.

0=dtdu

0=dtdw

w

u I(t)=I0


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