Lectures related to Simulation Neuroscience: Overview

In Silico Neuroscience: Data Reproducibility and Reusability

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

Approaches and Rationale of Simulation Neuroscience MOOC: Simulation Neurocience

Explores the overview, rationale, and strategies of simulation neuroscience, emphasizing the challenges of reconstructing and simulating the brain.

Transcriptonomics in Mouse Virtual Cortex

Delves into using transcriptonomics to study the mouse virtual cortex and classifying cortical neurons.

Introduction to Neuroinformatics MOOC: Simulation Neurocience

Covers the heterogeneous neuroscience data, techniques like microarrays and gene sequencing, data integration, and the importance of metadata in organizing and sharing data.

Observing the Brain: Neuroimaging Basics

Explores neuroimaging basics, brain network scales, connectivity, history, and physics, emphasizing the importance of understanding data at different scales.

Challenge of even bigger models MOOC: Simulating a hippocampus micro-circuit

Explores simulating large-scale neural network models and optimizing memory efficiency in neural simulations using NEURON and CoreNEURON.

Performing a search in the Allen Brain Atlas

Covers the tutorial on performing a search in the Allen Brain Atlas, exploring gene expression data.

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.

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

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

Blue Brain: Neocortical Microcircuitry

Covers the Blue Brain project's history, neocortical microcircuitry, neuron morphologies, and ion channel behavior.

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

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

In Silico Neuroscience: Network Assembly

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

Dynamic Functional Connectivity: Fundamentals

Covers the fundamentals of dynamic functional connectivity in the human brain, exploring challenges and analysis methods.

Overview of the Allen Mouse Brain Atlas MOOC: Neuroscience Reconstructed: Genetics and Brain Development

Covers the Allen Mouse Brain Atlas, brain regions, gene expression data, and exploration tools.

Introduction to Dynamic Functional Connectivity

Covers sliding window analysis, point-process analysis, and auto-regressive models in dynamic functional connectivity.

Principles of Simulation Neuroscience MOOC: Neuroscience Reconstructed: Genetics and Brain Development

Covers principles of simulation neuroscience, dense reconstructions, bottom-up approach, and modeling trade-offs.

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Neuroinformatics, Text Mining MOOC: Simulation Neurocience

Explores text mining in neuroinformatics to extract brain connectivity data and annotate model parameters from scientific literature.

Brain Fingerprinting: Maximizing Identifiability

Explores brain fingerprinting, maximizing identifiability, and the potential clinical applications of the concept.

Modules and Community Structure of Brain Networks

Delves into brain network modules, modularity, and community structure, including dynamic modularity and upcoming midterm details.