Finding Parameters: Neuron Simulation Optimization

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Cellular Mechanisms of Brain Function

Explores cellular mechanisms of brain function, focusing on ion channels and action potentials.

Threshold in the Hodgkin-Huxley Model

Explores the firing threshold in the Hodgkin-Huxley model and the behavior of neurons under different current inputs.

Challenge of even bigger models

Explores simulating large-scale neural network models and optimizing memory efficiency in neural simulations using NEURON and CoreNEURON.

Building Physical Neural Networks

Discusses challenges in building physical neural networks, focusing on depth, connections, and trainability.

Compartmental Models: Active Dendrites

Explores compartmental models in computational neuroscience, focusing on active dendrites and experimental findings.

Action Potentials and Electrical Excitability

Explores the generation and propagation of action potentials in neurons, including the historical significance of Hodgkin & Huxley's work.

Simplified Neuron Models: Analytical Approachability

Explores simplified neuron models, focusing on random walk behavior and its implications on spiking activity.

Neural Networks: Multilayer Perceptrons

Covers Multilayer Perceptrons, artificial neurons, activation functions, matrix notation, flexibility, regularization, regression, and classification tasks.

Neural Networks: Training and Activation

Explores neural networks, activation functions, backpropagation, and PyTorch implementation.

AdEx model: Firing patterns and phase plane analysis

Explores the AdEx neuron model, analyzing firing patterns and phase planes.