In Silico Neuroscience: Network Assembly

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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.