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Simulation Neurocience

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Lectures in this MOOC (65)

EFEL for Trace Analysis MOOC: Simulation Neurocience

Covers the use of eFEL for automated analysis of neuronal traces and parameter optimisation.

Setting up the components MOOC: Simulation Neurocience

Covers setting up components for creating detailed cell models and optimizing parameters for simulations.

Statistics and visualisation of morphometric data MOOC: Simulation Neurocience

Covers statistical analysis and visualization of morphometric data, including discrimination between tree types and numpy calculations.

Nexus Fusion: Collaborative Data Discovery MOOC: Simulation Neurocience

Covers Nexus Fusion, a platform for collaborative data and knowledge discovery, including data management, presentation, and searching.

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.

Accessing the NMC portal MOOC: Simulation Neurocience

Introduces the Neocortical Microcircuit Collaboration Portal, offering interactive browsing and downloadable models.

Defining Your Synapse MOOC: Simulation Neurocience

Introduces the NMODL language for defining custom synapse models in the NEURON simulator.

Synaptic Dynamics: Frequency Dependence and Transmission MOOC: Simulation Neurocience

Delves into synaptic dynamics, including depression, facilitation, and differential transmission.

A data management ecosystem for data driven science MOOC: Simulation Neurocience

Explores the Blue Brain Nexus ecosystem and data challenges in Neuroscience.

Neuroinformatics: Ontologies MOOC: Simulation Neurocience

Explores the role of ontologies in neuroscience, focusing on organizing data and defining entity properties.

Single Neuron Data Collection Techniques MOOC: Simulation Neurocience

Covers the methods for studying single neurons, including morphology and electrophysiology profiling.

Simulation Neuroscience: Summary and Caveats MOOC: Simulation Neurocience

Covers the caveats and summary of Simulation Neuroscience, emphasizing the importance of critical data and the three fundamental approaches to understanding the brain.

Injecting a current MOOC: Simulation Neurocience

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

Nexus Delta: Managing Data and Knowledge Graph Lifecycle MOOC: Simulation Neurocience

Covers the management of data and knowledge graph lifecycle using Nexus Delta.

Compiling and testing modfiles MOOC: Simulation Neurocience

Covers the process of compiling and testing modfiles in NEURON with a focus on synapse dynamics.

The Neuron: A Unique Electrical Device MOOC: Simulation Neurocience

Explores the neuron as a unique electrical device, focusing on synaptic potentials and spiking activity.

Data strategies: building neural circuits MOOC: Simulation Neurocience

Explores data strategies for building neural circuits in simulation neuroscience.

Single cell electrical models: passive MOOC: Simulation Neurocience

Covers the construction of single cell electrical models using NEURON, including setting parameters, running simulations, and modeling transmembrane currents.

The Neuron: A Structural Overview MOOC: Simulation Neurocience

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

Building a Data Model to Support a Scientific Usecase MOOC: Simulation Neurocience

Explores building a data model for scientific usecases and the significance of tracking data origin and usage.

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