Lectures related to Neuroscience Dataset Recommendation

In Silico Neuroscience: Data Reproducibility and Reusability

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

Scientific Computing in Neuroscience

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

Neurosciences I: Molecular Neuroscience and Neurodegeneration

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

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.

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.

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

Covers the optimization of neuron models for coding and decoding 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.

Parameter estimation MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

Explores parameter estimation in neuron models, focusing on quadratic optimization and linear fit.

Experimental Data Techniques: Caveats and Summary MOOC: Simulation Neurocience

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

Blue Brain: Neocortical Microcircuitry

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

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.

Observing the Brain: Neuroimaging Basics

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

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

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

MathDetour 1: Separation of time scales MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

Explores the concept of separation of time scales in computational neuroscience and the reduction of detail in two-dimensional neuron models.

Tools for Constraining Neuron Models MOOC: Simulation Neurocience

Covers tools for constraining neuron models using eFEL and BluePyOpt.

Neurons and Synapses: Overview MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

Covers computational neuroscience basics, single neuron models, synapses, and neural variability.

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.

Transcriptonomics in Mouse Virtual Cortex

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

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

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

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

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