Lecture

In Silico Neuroscience: Network Assembly

Related lectures (32)

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.

Untitled

In Silico Neuroscience: Data Reproducibility and Reusability

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

Hodgkin-Huxley Model: Neuronal Excitability

Explores the Hodgkin-Huxley model, action potential phases, ion dynamics, cable theory, and compartmental modeling in neuronal excitability.

Neuron Classification: Types and Challenges

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

Modeling Electrophysiology: Different Scales

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

Synaptic Transmission: Electrical vs Chemical

Compares electrical and chemical synapses, emphasizing their properties and behavior, including the neuromuscular junction and synapses in the CNS.

Synaptic Plasticity: Mechanisms and Models

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

Biopotential Generation: Synaptic Transmission

Explores biopotential generation and synaptic transmission, including neurotransmitter release and dopamine's effects on Parkinson's disease.

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.

Introduction into the module

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