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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.

In Silico Neuroscience: Network Assembly

Explores assembling in silico neuroscience networks, defining space, and dealing with sparse data to reconstruct brain regions.

In Silico Neuroscience: Data Reproducibility and Reusability

Emphasizes data reproducibility and reusability in in silico neuroscience, focusing on neuroinformatics tools and methods.

Biophysical Understanding of Neuronal Electrical Behavior

Explores the biophysical understanding of neuronal electrical behavior, including challenges in modeling neurons, the generation of action potentials, and the impact of dendritic structure on firing patterns.

Modeling the electrical activity of the neuron MOOC: Simulation Neurocience

Explores the modeling of neuron electrical activity, including ion channels and concentrations, Nernst equation, and resting potential.

Structured Synaptic Connectivity in Hippocampal Regions

Explores synaptic connectivity in hippocampal regions, emphasizing the complexity of neuronal networks and the role of modeling approaches.

In Silico Neuroscience: Network Simulation

Delves into simulating network dynamics in in silico neuroscience, covering spontaneous and evoked activity, in-vitro and in-vivo simulations, and sensitivity analysis.

Optimization of Neuroprosthetic Systems

Explores the optimization of neuroprosthetic systems, including sensory feedback restoration and neural stimulation strategies.

Scientific Computing in Neuroscience

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

Optimising Neuron Models: eFEL and BluePyOpt

Introduces eFEL and BluePyOpt for optimizing neuron models with experimental data, using evolutionary algorithms.

Engineering Neurons: Optogenetics

Explores the engineering of neurons using light, chemicals, and sound to modulate neural activity and behavior.

Understanding Synaptic Transmission

Explores synaptic transmission, neurotransmitters, and neural plasticity principles.

Introduction into the module MOOC: Simulation Neurocience

Introduces nerve cells' electrical activity, focusing on spikes and synaptic potentials.

Neuromorphic Computing: Concepts and Hardware Implementations

Covers neuromorphic computing, challenges in ternary and binary computing, hardware simulations of the brain, and new materials for artificial brain cells.

Network Simulation and Activity Dynamics Log in to Mediaspace to watch this video

Explores neural network simulation, activity dynamics, and validation processes to ensure accurate predictions.

Hodgkin-Huxley Model: Neuronal Excitability Log in to Mediaspace to watch this video

Explores the Hodgkin-Huxley model, action potential phases, ion dynamics, cable theory, and compartmental modeling in neuronal excitability.

Building Neural Networks: Assembly Strategies Log in to Mediaspace to watch this video

Focuses on assembling neural network building blocks and dealing with data sparseness using various strategies and assumptions.

GABAergic Interneurons of the Cerebral Cortex Log in to Mediaspace to watch this video

Explores the classification and electrical behaviors of GABAergic interneurons in the cerebral cortex, emphasizing the importance of consistent terminology and understanding ion channel diversity.

Neuroscience Data Analysis Log in to Mediaspace to watch this video

Explores neuroscience data analysis, focusing on K+ and Na+ currents, Ca²+ currents, and data reproducibility.

Network Simulation: Spontaneous Activity and Validation Log in to Mediaspace to watch this video

Covers spontaneous brain network activity, neural simulation, and validation, emphasizing the importance of in-vitro and in-vivo conditions for accurate network modeling.