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Advanced data management for non-ICT specialists
Course:
Introduction to information and communications technology (ICT) for non-specialists

This lecture provides a history of data management, recent developments data management, and a brief description of scientific data management.

Difficulty level: Advanced
Duration: 35:10
Speaker: : Thomas Heinis
Extracellular spiking
Course:
Module 1: Spikes

The goal of this module is to work with action potential data taken from a publicly available database. You will learn about spike counts, orientation tuning, and spatial maps. The MATLAB code introduces data types, for-loops and vectorizations, indexing, and data visualization.

Difficulty level: Intermediate
Duration: 5:17
Speaker: : Mike X. Cohen
Import data and convert spikes to data matrix
Course:
Module 1: Spikes

The goal of this module is to work with action potential data taken from a publicly available database. You will learn about spike counts, orientation tuning, and spatial maps. The MATLAB code introduces data types, for-loops and vectorizations, indexing, and data visualization.

Difficulty level: Intermediate
Duration: 11:37
Speaker: : Mike X. Cohen
Creating spike count histograms
Course:
Module 1: Spikes

The goal of this module is to work with action potential data taken from a publicly available database. You will learn about spike counts, orientation tuning, and spatial maps. The MATLAB code introduces data types, for-loops and vectorizations, indexing, and data visualization.

Difficulty level: Intermediate
Duration: 5:31
Speaker: : Mike X. Cohen
Tuning curves
Course:
Module 1: Spikes

The goal of this module is to work with action potential data taken from a publicly available database. You will learn about spike counts, orientation tuning, and spatial maps. The MATLAB code introduces data types, for-loops and vectorizations, indexing, and data visualization.

Difficulty level: Intermediate
Duration: 13:48
Speaker: : Mike X. Cohen
Spatial map of spike count
Course:
Module 1: Spikes

The goal of this module is to work with action potential data taken from a publicly available database. You will learn about spike counts, orientation tuning, and spatial maps. The MATLAB code introduces data types, for-loops and vectorizations, indexing, and data visualization.

Difficulty level: Intermediate
Duration: 12:16
Speaker: : Mike X. Cohen
Spatial map of tuning
Course:
Module 1: Spikes

The goal of this module is to work with action potential data taken from a publicly available database. You will learn about spike counts, orientation tuning, and spatial maps. The MATLAB code introduces data types, for-loops and vectorizations, indexing, and data visualization.

Difficulty level: Intermediate
Duration: 13:11
Speaker: : Mike X. Cohen
The Medical Informatics Platform (MIP) federation in Epilepsy
Course:
The future of medical data sharing in clinical neurosciences

This lecture presents the Medical Informatics Platform's data federation in epilepsy.

Difficulty level: Intermediate
Duration: 27:09
Speaker: : Philippe Ryvlin
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
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
Neural oscillations, weak coupling and networks
Course:
Dynamical neural systems

Oscillations and bursting

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

Oscillations and bursting

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

Weakly coupled oscillators

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

Continuation of coupled oscillators

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

Firing rate models.

Difficulty level: Intermediate
Duration: 1:26:42
Speaker: : Bard Ermentrout
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
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
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
Neural oscillations, weak coupling and networks I
Course:
Introduction to computational neuroscience

Oscillations and bursting

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

Oscillations and bursting

Difficulty level: Intermediate
Duration: 1:31:57
Speaker: : Bard Ermentrout

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