Lectures related to Mean-field argument B

Neuronal Dynamics: Random Networks MOOC: Neuronal Dynamics 2- Computational Neuroscience: Neuronal Dynamics of Cognition

Explores the dynamics of neuronal populations, emphasizing random networks and mean-field arguments for connectivity.

Mean-field Argument: Asynchronous Activity MOOC: Neuronal Dynamics 2- Computational Neuroscience: Neuronal Dynamics of Cognition

Explores stationary asynchronous activity in neuronal populations and the mean-field argument.

Neuronal Dynamics: Aims and Challenges MOOC: Neuronal Dynamics 2- Computational Neuroscience: Neuronal Dynamics of Cognition

Explores the aims and challenges in computational neuroscience, focusing on neuronal dynamics of cognition and mean-field arguments.

Cortical populations: Neuronal Dynamics MOOC: Neuronal Dynamics 2- Computational Neuroscience: Neuronal Dynamics of Cognition

Explores population activity, cortical populations, connectivity, and orientation tuning in the visual cortex.

Compartmental Models: Active Dendrites MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

Explores compartmental models in computational neuroscience, focusing on active dendrites and experimental findings.

Mathematical Model of the Brain

Explores the development of a mathematical model of the brain, focusing on brain organization and dynamics, including neuronal activity patterns and emergent phenomena.

Cortical Connectivity: Neuronal Dynamics MOOC: Neuronal Dynamics 2- Computational Neuroscience: Neuronal Dynamics of Cognition

Explores neuronal dynamics in computational neuroscience, emphasizing population activity, cortical connectivity, and connectivity schemes in models.

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Oscillations: Network Dynamics and Microcircuits MOOC: Simulating a hippocampus micro-circuit

Delves into network oscillations in a hippocampus microcircuit, exploring theta, gamma rhythms, and ripple events.

Scientific Computing in Neuroscience

Explores the history and tools of scientific computing in neuroscience, emphasizing the simulation of neurons and networks.

Perception: Field Models MOOC: Neuronal Dynamics 2- Computational Neuroscience: Neuronal Dynamics of Cognition

Explores computational neuroscience aspects of perception using field models and spatial continuum models.

Vision Research to Clinical Therapy

Explores vision research, optic nerve regeneration, and bio-realistic models in the mouse visual cortex, focusing on optic nerve stimulation and visual learning.

Motor Neuroprosthetics: Brain-Machine Interfaces

Explores Brain-Machine Interfaces for motor control and communication using neural signals.

Non-invasive Transcranial Neuromodulation: Stimulation Techniques

Explores the history and techniques of non-invasive transcranial neuromodulation using magnetic and electric stimulation.

Population activity: Neuronal Dynamics of Cognition MOOC: Neuronal Dynamics 2- Computational Neuroscience: Neuronal Dynamics of Cognition

Explores population activity in cortical populations, including rate, invariances, and natural readouts.

Dendrite as a Cable MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

Discusses dendrites as cables, covering the cable equation derivation and current conservation in coupled compartments.

Spatial Continuum: Field Equations MOOC: Neuronal Dynamics 2- Computational Neuroscience: Neuronal Dynamics of Cognition

Explores spatial continuum models, field equations, and coupling mechanisms in computational neuroscience.

In Silico Neuroscience: Ion Channels and Neuronal Models

Explores detailed modeling of ion channels and neuronal morphologies in in silico neuroscience, covering neuron classification, ion channel kinetics, and experimental observations.

Models and data MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

Covers the optimization of neuron models for coding and decoding in computational neuroscience.

Helping Humans: Neuroprosthetics MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

Explores the application of computational neuroscience in neuroprosthetics, focusing on predicting intended arm movements based on spike times and the importance of systematic parameter optimization.