Lectures related to Neuroscience Data Analysis

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.

Data, big data, clouds and IoT

Explores data representation, databases, cloud computing, and challenges in the cloud environment.

In Silico Neuroscience: Modern Approaches and Applications

Introduces modern neuroscience approaches and applications, emphasizing computational modeling and its importance in understanding the brain.

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.

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.

Gitlab Agent for Kubernetes (`agentk`)

Covers the setup of a Gitlab agent for Kubernetes, focusing on installation, version control, and troubleshooting.

Structured Synaptic Connectivity in Hippocampal Regions

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

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.

Neuroscience Data Analysis Log in to Mediaspace to watch this video

Explores neuroscience data analysis, emphasizing structured data, computational tools, and the trend of computational neuroscience as a service.

Neuron Classification: Types and Challenges Log in to Mediaspace to watch this video

Explores neuron classification, highlighting the importance of understanding brain complexity and the challenges in defining cell types.

The Microcircuits of Striatum in Silico Log in to Mediaspace to watch this video

Explores the reconstruction of a full-scale mouse striatal cellular level model to integrate and interpret striatal data.

Data-Driven Modeling in Neuroscience: Meenakshi Khosla Log in to Mediaspace to watch this video

By Meenakshi Khosla explores data-driven modeling in large-scale naturalistic neuroscience, focusing on brain activity representation and computational models.

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.

Structured Synaptic Connectivity Log in to Mediaspace to watch this video

Explores the structured synaptic connectivity between hippocampal regions using techniques like mGRASP and modeling.

Transgenic Mice: Cre-Lines and Optogenetics Log in to Mediaspace to watch this video

Covers transgenic mice using Cre-lines and optogenetics, exploring neural cell manipulation techniques and brain region-specific gene expression.

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.

Untitled Log in to Mediaspace to watch this video

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.

Water Consumption in Geneva Log in to Mediaspace to watch this video

Explores water consumption data in Geneva, including charts on consumption and losses, available datasets, and data processing phases.