Dynamical neural systems

Dynamical neural systems

By
ICTS
Category
Computational neuroscience
Level
Intermediate

Introductory lectures on different aspects of biochemical models.

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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