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Lecture title:
Simulating the long time scales and large molecule numbers involved in synaptic plasticity
Course:
Computational neuroscience: the basics

Conference presentation on computationally demanding studies of synaptic plasticity on the molecular level

Difficulty level: Advanced
Duration: 15:44
Speaker: : Kim "Avrama" Blackwell
Lecture title:
Simulating the long time scales and large molecule numbers involved in synaptic plasticity
Course:
Biochemical models

Conference presentation on computationally demanding studies of synaptic plasticity on the molecular level

Difficulty level: Advanced
Duration: 15:44
Speaker: : Kim "Avrama" Blackwell
Lecture title:
Simulating the long time scales and large molecule numbers involved in synaptic plasticity
Course:
Introduction to computational neuroscience

Conference presentation on computationally demanding studies of synaptic plasticity on the molecular level

Difficulty level: Advanced
Duration: 15:44
Speaker: : Kim "Avrama" Blackwell
Lecture title:
Single neuron models - I
Course:
Dynamical neural systems

Introduction to stability analysis of neural models

Difficulty level: Intermediate
Duration: 1:26:06
Speaker: : Bard Ermentrout
Lecture title:
Single Neuron Models - II
Course:
Dynamical neural systems

Introduction to stability analysis of neural models

Difficulty level: Intermediate
Duration: 1:25:38
Speaker: : Bard Ermentrout
Lecture title:
Neural oscillations, weak coupling and networks
Course:
Dynamical neural systems

Oscillations and bursting

Difficulty level: Intermediate
Duration: 1:24:30
Speaker: : Bard Ermentrout
Lecture title:
Neural oscillations and networks II
Course:
Dynamical neural systems

Oscillations and bursting

Difficulty level: Intermediate
Duration: 1:31:57
Speaker: : Bard Ermentrout
Lecture title:
Oscillatory networks and the Ott Antonsen theory
Course:
Dynamical neural systems

Weakly coupled oscillators

Difficulty level: Intermediate
Duration: 1:26:02
Speaker: : Bard Ermentrout
Lecture title:
Oscillatory networks II
Course:
Dynamical neural systems

Continuation of coupled oscillators

Difficulty level: Intermediate
Duration: 1:24:44
Speaker: : Bard Ermentrout
Lecture title:
Firing rate models - networks
Course:
Dynamical neural systems

Firing rate models.

Difficulty level: Intermediate
Duration: 1:26:42
Speaker: : Bard Ermentrout
Lecture title:
Spatiotemporal dynamics, waves, pattern formation
Course:
Dynamical neural systems

Pattern generation in visual system hallucinations.

Difficulty level: Intermediate
Duration: 1:20:42
Speaker: : Bard Ermentrout
Lecture title:
Single neuron models - I
Course:
Introduction to computational neuroscience

Introduction to stability analysis of neural models

Difficulty level: Intermediate
Duration: 1:26:06
Speaker: : Bard Ermentrout
Lecture title:
Single Neuron Models - II
Course:
Introduction to computational neuroscience

Introduction to stability analysis of neural models

Difficulty level: Intermediate
Duration: 1:25:38
Speaker: : Bard Ermentrout
Lecture title:
Neural oscillations, weak coupling and networks
Course:
Introduction to computational neuroscience

Oscillations and bursting

Difficulty level: Intermediate
Duration: 1:24:30
Speaker: : Bard Ermentrout
Lecture title:
Neural oscillations and networks II
Course:
Introduction to computational neuroscience

Oscillations and bursting

Difficulty level: Intermediate
Duration: 1:31:57
Speaker: : Bard Ermentrout
Lecture title:
Oscillatory networks and the Ott Antonsen theoryd
Course:
Introduction to computational neuroscience

Weakly coupled oscillators

Difficulty level: Intermediate
Duration: 1:26:02
Speaker: : Bard Ermentrout
Lecture title:
Oscillatory networks II
Course:
Introduction to computational neuroscience

Continuation of coupled oscillators

Difficulty level: Intermediate
Duration: 1:24:44
Speaker: : Bard Ermentrout
Lecture title:
Firing rate models - networks
Course:
Introduction to computational neuroscience

Firing rate models.

Difficulty level: Intermediate
Duration: 1:26:42
Speaker: : Bard Ermentrout
Lecture title:
Spatiotemporal dynamics, waves, pattern formation
Course:
Introduction to computational neuroscience

Pattern generation in visual system hallucinations.

Difficulty level: Intermediate
Duration: 1:20:42
Speaker: : Bard Ermentrout
Lecture title:
Computational principles of axon guidance
Course:
Building the Brain

This lecture covers computational principles that growth cones employ to detect and respond to environmental chemotactic gradients, focusing particularly on growth cone shape dynamics.

Difficulty level: Intermediate
Duration: 26:12
Speaker: : Geoff Goodhill