Dynamical neural systems

Dynamical neural systems

By
ICTS
Category
Computational neuroscience
Level
Intermediate

Introductory lectures on different aspects of biochemical models.

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Course Features
Stability analysis of neural models
Oscillations and bursting
Weakly coupled oscillators
Firing rate models
Pattern generation in visual system hallucinations
Lessons of this Course
1
1
Single neuron models - I
Duration:
1:26:06
Speaker:
Bard Ermentrout

Introduction to stability analysis of neural models

2
2
Single Neuron Models - II
Duration:
1:25:38
Speaker:
Bard Ermentrout

Introduction to stability analysis of neural models

3
3
Neural oscillations, weak coupling and networks
Duration:
1:24:30
Speaker:
Bard Ermentrout

Oscillations and bursting

4
4
Neural oscillations and networks II
Duration:
1:31:57
Speaker:
Bard Ermentrout

Oscillations and bursting

5
5
Oscillatory networks and the Ott Antonsen theory
Duration:
1:26:02
Speaker:
Bard Ermentrout

Weakly coupled oscillators

6
6
Oscillatory networks II
Duration:
1:24:44
Speaker:
Bard Ermentrout

Continuation of coupled oscillators

7
7
Firing rate models - networks
Duration:
1:26:42
Speaker:
Bard Ermentrout

Firing rate models.

8
8
Spatiotemporal dynamics, waves, pattern formation
Duration:
1:20:42
Speaker:
Bard Ermentrout

Pattern generation in visual system hallucinations.

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