Simplified Neuron Models: Analytical Approachability

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Attractor Networks and Spiking Neurons

Explores attractor networks, spiking neurons, memory data, and realistic networks in neural dynamics.

Neural Signals and Signal Processing

Explores neuronal signals, brain organization, measurement techniques, and MRI principles.

Firing Threshold in 2D Models

Explores firing thresholds in 2D neuron models, pulse input, delayed spike initiation, and the FitzHugh-Nagumo model.

Modeling Electrophysiology: Different Scales

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

Modeling the electrical activity of the neuron

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

Finding Parameters: Neuron Simulation Optimization

Explores finding parameters for neuron models and the importance of multi-objective optimization.

Understanding Neuron Electrical Properties: Ion Transport Mechanisms

Covers the electrical properties of neurons, focusing on ion transport mechanisms and their role in generating electrical signals.

Introduction into the module

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

Computational Neuroscience: Biophysics & Modeling

Covers the fundamentals of computational neuroscience, focusing on biophysics and modeling.

Neural Signals: Properties and Recordings

Explores the mechanical and electrical properties of neural tissues, including the brain and spinal cord, as well as the recording of neural signals using various techniques.