Lectures related to Compiling Synapse NMODL.mod file

Scientific Computing in Neuroscience

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

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.

CA1 single cell models MOOC: Simulating a hippocampus micro-circuit

Explores the peculiar properties, variability, optimization, and degeneracy of CA1 neurons.

Data strategies: building neural circuits MOOC: Simulation Neurocience

Explores data strategies for building neural circuits in simulation neuroscience.

Neurosciences I: Molecular Neuroscience and Neurodegeneration

Covers molecular neuroscience, neurodegeneration, cell types, neuron structure, and history of neuroscience breakthroughs.

Injecting a current MOOC: Simulation Neurocience

Explains injecting current into a neuron, creating recordings, running simulations, and handling synapses.

Modeling Electrophysiology: Different Scales MOOC: Neuroscience Reconstructed: Genetics and Brain Development

Covers modeling electrophysiology at different scales, discussing ion channels, single neurons, and microcircuits.

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.

Introduction to Circuit Connectivity MOOC: Simulating a hippocampus micro-circuit

Covers circuit connectivity in the hippocampus, including synapse distribution, divergence, and convergence.

In Silico Neuroscience: Network Assembly

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

Modelling principles for CA1 Microcircuit simulation MOOC: Simulating a hippocampus micro-circuit

Explores principles of data-driven modeling for simulating hippocampus microcircuits.

The Neuron: A Structural Overview MOOC: Simulation Neurocience

Offers a brief overview of neuron structure, including dendrites, axons, and specific cell examples.

Experimental Data Techniques: Caveats and Summary MOOC: Simulation Neurocience

Explores the study of single neurons, challenges in classification, and obtaining high-resolution data.

Introduction into the module MOOC: Simulation Neurocience

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

Understanding Synaptic Transmission

Explores synaptic transmission, neurotransmitters, and neural plasticity principles.

Quality of Integrate-and-Fire Models MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

Explores the quality of Integrate-and-Fire models in computational neuroscience through comparisons with experimental data and mathematical predictions.

In Silico Neuroscience: Data Reproducibility and Reusability

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

Structural Plasticity of Synapses: Applications in Neuroscience

Delves into the structural plasticity of synapses and its applications in 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.

Principles of Simulation Neuroscience MOOC: Simulation Neurocience

Covers the principles of Simulation Neuroscience, focusing on dense reconstruction from sparse data and iteratively reconstructing and testing models.