NX-465 Computational neurosciences: neuronal dynamics

NX-465 Computational neurosciences: neuronal dynamics

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In this course we study mathematical models of neurons and neuronal networks in the context of biology and establish links to models of cognition. The focus is on brain dynamics approximated by deterministic or stochastic differential equations.

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6.1 Escape noise 1 of 15

duration 15 minutes 41 seconds

6.1 Escape noise

6.1 Escape noise

6.1 Escape noise

6.1 Escape noise

From Dominik Glandorf

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7.5a Parameter estimation 2 of 15

duration 14 minutes 25 seconds

7.5a Parameter estimation

7.5a Parameter estimation

7.5a Parameter estimation

7.5a Parameter estimation

From Dominik Glandorf

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7.2a AdEx: Adaptive exponential integrate-and-fire 3 of 15

duration 11 minutes 12 seconds

7.2a AdEx: Adaptive exponential integrate-and-fire

7.2a AdEx: Adaptive exponential integrate-and-fire

7.2a AdEx: Adaptive exponential integrate-and-fire

7.2a AdEx: Adaptive exponential integrate-and-fire

From Dominik Glandorf

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7.6 Modeling in vitro data 4 of 15

duration 8 minutes 10 seconds

7.6 Modeling in vitro data

7.6 Modeling in vitro data

7.6 Modeling in vitro data

7.6 Modeling in vitro data

From Dominik Glandorf

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1.5 Quality of Integrate-and-Fire Models 5 of 15

duration 5 minutes 12 seconds

1.5 Quality of Integrate-and-Fire Models

1.5 Quality of Integrate-and-Fire Models

1.5 Quality of Integrate-and-Fire Models

1.5 Quality of Integrate-and-Fire Models

From Dominik Glandorf

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1.1 Neurons and synapses: Overview 6 of 15

duration 10 minutes 17 seconds

1.1 Neurons and synapses: Overview

1.1 Neurons and synapses: Overview

1.1 Neurons and synapses: Overview

1.1 Neurons and synapses: Overview

From Dominik Glandorf

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1.3 Leaky Integrate-and-Fire Model 7 of 15

duration 8 minutes 11 seconds

1.3 Leaky Integrate-and-Fire Model

1.3 Leaky Integrate-and-Fire Model

1.3 Leaky Integrate-and-Fire Model

1.3 Leaky Integrate-and-Fire Model

From Dominik Glandorf

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1.4 Generalized Integrate and Fire Models 8 of 15

duration 17 minutes 4 seconds

1.4 Generalized Integrate and Fire Models

1.4 Generalized Integrate and Fire Models

1.4 Generalized Integrate and Fire Models

1.4 Generalized Integrate and Fire Models

From Dominik Glandorf

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1.2＊Detour: Linear differential equation 9 of 15

duration 22 minutes 45 seconds

1.2＊Detour: Linear differential equation

1.2＊Detour: Linear differential equation

1.2＊Detour: Linear differential equation

1.2＊Detour: Linear differential equation

From Dominik Glandorf

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1.2 The Passive Membrane 10 of 15

duration 21 minutes 17 seconds

1.2 The Passive Membrane

1.2 The Passive Membrane

1.2 The Passive Membrane

1.2 The Passive Membrane

From Dominik Glandorf

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2.1 Biophysics of neurons 11 of 15

duration 5 minutes 21 seconds

2.1 Biophysics of neurons

2.1 Biophysics of neurons

2.1 Biophysics of neurons

2.1 Biophysics of neurons

From Dominik Glandorf

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2.5 Detailed Biophysical Models 12 of 15

duration 12 minutes 58 seconds

2.5 Detailed Biophysical Models

2.5 Detailed Biophysical Models

2.5 Detailed Biophysical Models

2.5 Detailed Biophysical Models

From Dominik Glandorf

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2.2 Reversal potential and Nernst equation 13 of 15

duration 11 minutes 11 seconds

2.2 Reversal potential and Nernst equation

2.2 Reversal potential and Nernst equation

2.2 Reversal potential and Nernst equation

2.2 Reversal potential and Nernst equation

From Dominik Glandorf

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2.4 Threshold in the Hodgkin Huxley Model 14 of 15

duration 26 minutes 17 seconds

2.4 Threshold in the Hodgkin Huxley Model

2.4 Threshold in the Hodgkin Huxley Model

2.4 Threshold in the Hodgkin Huxley Model

2.4 Threshold in the Hodgkin Huxley Model

From Dominik Glandorf

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2.3 Hodgkin-Huxley Model 15 of 15

duration 19 minutes 25 seconds

2.3 Hodgkin-Huxley Model

2.3 Hodgkin-Huxley Model

2.3 Hodgkin-Huxley Model

2.3 Hodgkin-Huxley Model

From Dominik Glandorf

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Managers:: Dominik Glandorf
Wulfram Gerstner
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