In Silico Neuroscience: Network Assembly

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Related lectures (32)

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Network Simulation and Activity Dynamics

Explores neural network simulation, activity dynamics, and validation processes to ensure accurate predictions.

Building Neural Networks: Assembly Strategies

Focuses on assembling neural network building blocks and dealing with data sparseness using various strategies and assumptions.

Structured Synaptic Connectivity

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

GABAergic Interneurons of the Cerebral Cortex

Explores the classification and electrical behaviors of GABAergic interneurons in the cerebral cortex, emphasizing the importance of consistent terminology and understanding ion channel diversity.

CA1 single cell models

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

Neuroscience Data Analysis

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

Data strategies: building neural circuits

Explores data strategies for building neural circuits in simulation neuroscience.

Understanding Synaptic Transmission

Explores synaptic transmission, neurotransmitters, and neural plasticity principles.

Structured Synaptic Connectivity in Hippocampal Regions

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

Modeling the electrical activity of the neuron

Explores the modeling of neuron electrical activity, including ion channels and concentrations, Nernst equation, and resting potential.