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Related lectures (32)
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Neural Signals and Signal Processing
Explores neural signal modeling, nervous system structure, and fiber classification for understanding neural phenomena.
Computational Neuroscience: Biophysics & Modeling
Covers the fundamentals of computational neuroscience, focusing on biophysics and modeling.
Parameter estimation
Explores parameter estimation in neuron models, focusing on quadratic optimization and linear fit.
Neural Networks: Hierarchical Models and Odor Taxis
Covers neural function, hierarchical models, odor taxis behaviors, and disparate circuit parameters in 18 slides.
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.
Neural Model: Assemblies of Neurons and Language Acquisition
Explores a neural model, assemblies of neurons, language acquisition, and the future of neuromorphic intelligent systems.
Engineering Neurons: Light, Chemicals, Sound
Explores optogenetics, chemogenetics, and sonogenetics to engineer neural activity using light, chemicals, and sound.
Simplified Neuron Models: Analytical Approachability
Explores simplified neuron models, focusing on random walk behavior and its implications on spiking activity.
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.
Firing Threshold in 2D Models
Explores firing thresholds in 2D neuron models, pulse input, delayed spike initiation, and the FitzHugh-Nagumo model.