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Transition between tonic spiking and bursting in a neuron model via Blue-Sky catastrophe Svetlana Zhuravytska.

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Presentation on theme: "Transition between tonic spiking and bursting in a neuron model via Blue-Sky catastrophe Svetlana Zhuravytska."— Presentation transcript:

1 Transition between tonic spiking and bursting in a neuron model via Blue-Sky catastrophe Svetlana Zhuravytska

2 Silence Tonic spiking Bursting

3 The functional role of bursting: Observed in sleep and pathological brain states; Mode for control of rhythmic movements; Improves reliability of memory formation.

4 A model of a heart interneuron from the medicinal leech was used to demonstrate the existence of multistability.

5 Voltage-dependent ionic currents: Fast (I Na ) and persistent (I Nap ) sodium currents, Delayed (I K1 ), persistent (I K2 ) and fast (I KA ) potassium currents, Two low-threshold calcium currents (I CaF, I CaS ), Hyperpolarization-activated current (I h ).

6 Simplified model

7 Slow-fast system

8 α=0.003

9 α=0.002

10 α=-0.0235

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12

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14 α=-0.024

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16 The blue-sky catastrophe occurs when a small amplitude stable limit cycle disappears and a large-amplitude large-period stable orbit appears out of nowhere (from the blue sky)

17 Slow-fast system

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21 The saddle-node bifurcation for the periodic orbits constitutes the first component of the blue-sky catastrophe in slow-fast systems. The unstable manifold becomes homoclinic to the periodic orbit. This is the second component of the blue-sky catastrophe.

22 Conclusion The new mechanism of continuous transition between tonic spiking and bursting regimes (blue-sky catastrophe) in a model of a leech heart interneuron was proposed and described in the article.

23 References Transition between Tonic Spiking and Bursting in a Neuron Model via the Blue-Sky Catastrophe, Andrey Shilnikov and Gennady Cymbalyuk. How a neuron model can demonstrate co-existence of tonic spiking and bursting, Gennady Cymbalyuk, Ronald Calabrese, Andrey Shilnikov. Coexistence of tonic spiking oscillations in a leech neuron model, Gennady Cymbalyuk, Andrey Shilnikov.


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