Lectures related to Untitled | EPFL Graph Search

In Silico Neuroscience: Data Reproducibility and Reusability

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

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 Assembly

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

Structured Synaptic Connectivity in Hippocampal Regions

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

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.

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.

Scientific Computing in Neuroscience

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

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 into the module MOOC: Simulation Neurocience

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

Concluding remarks MOOC: Cellular Mechanisms of Brain Function

Summarizes the course on brain function, highlighting progress and future directions.

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.

Neuroscience Data Analysis Log in to Mediaspace to watch this video

Explores neuroscience data analysis, focusing on K+ and Na+ currents, Ca²+ currents, and data reproducibility.

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.

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.

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.

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.

Untitled Log in to Mediaspace to watch this video

Synaptic Plasticity: Forms and Mechanisms Log in to Mediaspace to watch this video

Explores different forms of synaptic plasticity and the mechanisms behind them, emphasizing the role of calcium in inducing and maintaining plastic changes.

Synaptic Plasticity: Mechanisms and Models Log in to Mediaspace to watch this video

Explores different forms of synaptic plasticity and computational models to understand its mechanisms and induction protocols.