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Related lectures (32)
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Modern NLP: A Simple Neural Classifier
Introduces the basics of modern NLP, covering word embeddings, neural models, and tasks like sequence labeling and text generation.
Optimization of Neuroprosthetic Systems
Explores the optimization of neuroprosthetic systems, including sensory feedback restoration and neural stimulation strategies.
Hodgkin-Huxley Model
Covers the Hodgkin-Huxley model, describing action potential generation in neurons through ion channels dynamics.
Natural Language Generation
Explores Natural Language Generation, covering neural models, biases, ethics, and evaluation challenges.
Neural Model: Assemblies of Neurons and Language Acquisition
Explores a neural model, assemblies of neurons, language acquisition, and the future of neuromorphic intelligent systems.
Deep Brain Stimulation: Neuromodulation Techniques
Explores non-invasive deep brain stimulation techniques and their applications in neuro-psychiatric disorders, focusing on deep TMS and tTIS.
Advanced Neuromodulation Methods
Explores advanced human neuromodulation methods, including electrode placement, stimulation protocols, optimization techniques, and home-based self-application challenges.
Topographic Organization in the Brain
Explores the topographic organization in the brain, focusing on sensory representations and hemodynamic neuroimaging techniques.
Statistical Hypothesis Testing & Error Types
Covers statistical hypothesis testing and error types in neural signals processing.
Analysis of a 2D neuron model: pulse input
Explores the impact of pulse input on spike generation in a 2D neuron model.
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.
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