Synaptic Anatomy: Biological Data and Connectivity Analysis

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Explores the engineering of neurons using light, chemicals, and sound to modulate neural activity and behavior.

Explores the optimization of neuroprosthetic systems, including sensory feedback restoration and neural stimulation strategies.

Explores Rall's cable model, synaptic potential spread in dendrites, and compartmental modeling for neural simulations.

Covers modern neuroscience synthesis, biophysical modeling, and brain building blocks with practical applications.

Explores principles of data-driven modeling for simulating hippocampus microcircuits.

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

Explores the organization and structure of the nervous system, including neurons, synapses, neurotransmitters, and brain functions.

Explains handling synapses, presynaptic cells, and multisynaptic connections in a neuron model.

Covers the fundamentals of neural signals and signal processing, focusing on modeling and simulation of neural systems.

Explores scientific computing in neuroscience, emphasizing the simulation of neurons and networks using tools like NEURON, NEST, and BRIAN.

Explores the role of synapses in computational neuroscience and the models of excitatory and inhibitory synapses.

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