Neural Signals and Signal Processing: Modeling and Simulation

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Explores the history and tools of scientific computing in neuroscience, emphasizing the simulation of neurons and networks.

Hybrid Neural Models: Introduction and Applications

Covers hybrid neural models for neuroprosthetics, nerve stimulation optimization, and grasping restoration after spinal cord injury.

Scientific Computing in Neuroscience

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

Neural Signals and Signal Processing

Explores neural signals, brain imaging techniques, and brain organization, emphasizing the importance of understanding brain imaging methods and measuring brain signals noninvasively.

Modeling in Neuroprosthetics

Covers hybrid neural models, nerve histology, sensory feedback restoration, and deep brain stimulation in neuroprosthetics.

Neural Signals and Signal Processing: Decoding Techniques

Explores decoding techniques for neural signals using invasive interfaces, regenerative electrodes, and intraneural electrodes to improve prosthesis control and reduce neuroma pain.

Neural Cell Membrane Dynamics

Explores neural cell membrane dynamics, including ion channels, action potentials, myelination, and bioelectronic interfaces.

In vivo electrophysiology

Explores in vivo electrophysiology techniques for studying brain function through extracellular potentials and whole-cell recordings.

Neural Signals and Signal Processing

Covers neural signals, brain enthusiasm, neuroimaging, and statistical analysis in neuroimaging studies.

Network Simulation and Activity Dynamics

Explores neural network simulation, activity dynamics, and validation processes to ensure accurate predictions.