Skip to main content
Graph
Search
fr
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Practice
Publications
Startups
Units
Show all results for
Home
Lecture
Dynamical modeling, decoding, and control of multiscale brain network activity
Graph Chatbot
Related lectures (32)
Previous
Page 3 of 4
Next
Generalized Integrate-and-Fire Models
Explores the Generalized Integrate-and-Fire Model and the Nonlinear Integrate-and-Fire Model.
The Neuropixels Platform: Visualizing Electrophysiological Rhythms
Delves into the Neuropixels platform, discussing challenges, prospects, and transformative neuroscience experiments.
Neural Signals and Signal Processing: Modeling and Simulation
Covers the fundamentals of neural signals and signal processing, focusing on modeling and simulation of neural systems.
Computational Neuroscience: Biophysics & Modeling
Covers the fundamentals of computational neuroscience, focusing on biophysics and modeling.
Neural Signals and Signal Processing
Explores neural signal modeling, nervous system structure, and fiber classification for understanding neural phenomena.
Engineering Neurons: Light, Chemicals, Sound
Explores optogenetics, chemogenetics, and sonogenetics to engineer neural activity using light, chemicals, and sound.
AdEx model: Firing patterns and phase plane analysis
Explores the AdEx neuron model, analyzing firing patterns and phase planes.
Behavioural Control in Animals and Robots
Explores controlling behavior in animals and robots, covering historical perspectives, neuron activation, Drosophila model, advanced techniques, and mini-project organization.
MathDetour 1: Separation of time scales
Explores the concept of separation of time scales in computational neuroscience and the reduction of detail in two-dimensional neuron models.
In Silico Neuroscience: Data Reproducibility and Reusability
Emphasizes data reproducibility and reusability in in silico neuroscience, focusing on neuroinformatics tools and methods.