Models of neural computation

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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.