Lesson type
Difficulty level
Lecture title:
This lecture gives an introduction to simulation, models, and the neural simulation tool NEST.
Difficulty level: Beginner
Duration: 1:48:18
Speaker: : Marc-Oliver Gewaltig
Lecture title:
This lecture covers an Introduction to neuron anatomy and signaling, and different types of models, including the Hodgkin-Huxley model.
Difficulty level: Beginner
Duration: 1:23:01
Speaker: : Gaute Einevoll
Lecture title:
This lecture will highlight our current understanding and recent developments in the field of neurodegenerative disease research, as well as the future of diagnostics and treatment of neurodegenerative diseases
Difficulty level: Beginner
Duration: 1:02:29
Speaker: : Nir Giladi
Lecture title:
This lecture covers an Introduction to neuron anatomy and signaling, and different types of models, including the Hodgkin-Huxley model.
Difficulty level: Beginner
Duration: 1:23:01
Speaker: : Gaute Einevoll
Lecture title:
Forms of plasticity on many levels - short-term, long-term, metaplasticity, structural plasticity. With examples related to modelling of biochemical networks.
[NB: The sound uptake is a bit noisy the first few minutes, but gets better from about 5 mins in]
Difficulty level: Beginner
Duration: 1:11:29
Speaker: : Upi Bhalla
Lecture title:
Introduction to modelling of chemical computation in the brain
Difficulty level: Beginner
Duration: 1:00:11
Speaker: : Upi Bhalla
Lecture title:
Course:
Part 1 of 2 of a tutorial on statistical models for neural data
Difficulty level: Beginner
Duration: 1:45:48
Speaker: : Jonathan Pillow
Lecture title:
Course:
Part 2 of 2 of a tutorial on statistical models for neural data.
Difficulty level: Beginner
Duration: 1:50:31
Speaker: : Jonathan Pillow
Lecture title:
Course:
Introduction to simple spiking neuron models.
Difficulty level: Beginner
Duration: 48 Slides
Speaker: : Zubin Bhuyan
Lecture title:
Course:
This lecture covers an Introduction to neuron anatomy and signaling, and different types of models, including the Hodgkin-Huxley model.
Difficulty level: Beginner
Duration: 1:23:01
Speaker: : Gaute Einevoll
Lecture title:
Course:
Forms of plasticity on many levels - short-term, long-term, metaplasticity, structural plasticity. With examples related to modelling of biochemical networks.
[NB: The sound uptake is a bit noisy the first few minutes, but gets better from about 5 mins in]
Difficulty level: Beginner
Duration: 1:11:29
Speaker: : Upi Bhalla
Lecture title:
Course:
Introduction to modelling of chemical computation in the brain
Difficulty level: Beginner
Duration: 1:00:11
Speaker: : Upi Bhalla
Lecture title:
Introduction to the role of models in theoretical neuroscience
Difficulty level: Beginner
Duration: 19:26
Speaker: : Jakob Macke
Lecture title:
Different types of models, model complexity, and how to choose an appropriate model.
Difficulty level: Beginner
Duration: 39:09
Speaker: : Astrid Prinz
Lecture title:
Balanced E-I networks, stability and gain modulation
Difficulty level: Beginner
Duration: 1:22:11
Speaker: : Kenneth Miller
Lecture title:
Methods for dimensionality reduction of data, with focus on factor analysis.
Difficulty level: Beginner
Duration: 1:16:47
Speaker: : Byron Yu
Lecture title:
Methods for dimensionality reduction of data, with focus on factor analysis.
Difficulty level: Beginner
Duration: 1:39:32
Speaker: : Julijana Gjorgjieva
Lecture title:
Spiking neuron networks and linear response models.
Difficulty level: Beginner
Duration: 1:24:22
Speaker: : Tatjana Tchumatchenko
Lecture title:
Bayesian neuron models and parameter estimation.
Difficulty level: Beginner
Duration: 1:12:38
Speaker: : Jakob Macke
Lecture title:
Bayesian memory and learning, how to go from observations to latent variables.
Difficulty level: Beginner
Duration: 1:33:34
Speaker: : Máté Lengyel