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Machine-Brain Intelligence in Brain-Computer Interfaces - Understanding Neural Networks and Human Learning

Data Science Conference via YouTube

Overview

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Explore the fascinating intersection of machine intelligence and brain-computer interfaces in this 36-minute conference talk from Data Science Conference Europe 2022. Delve into how Neural Networks draw inspiration from brain mechanisms while simultaneously using machine learning and AI to enhance our understanding of brain plasticity. Learn about brain-computer interface systems that enable machine manipulation through neural activity, effectively extending the nervous system to external devices as virtual limbs. Discover the unique symbiotic relationship required between machine and human learning for successful implementation. The presentation covers comprehensive topics including clinical definitions, human-computer interaction principles, filtering techniques, machine learning applications, artificial neural networks, computational models, Bayesian inference, perceptual affordance, active inference, and emotional intelligence. Gain insights into the implementation challenges, training processes, and recalibration requirements for brain-computer interfaces, while understanding their potential impact on optimal AI development.

Syllabus

Intro
About Jelena
Projects on the Brain
Outline
Clinical definition
Human computer interaction
Principles
Filtering
Machine Learning
Success
Second Topic
The Past
Artificial Neural Networks
Computational Model
Cow
Bayesian brain
Bayesian inference
Cat experiment
Perceptual affordance
Active inference
Inspired from the brain
BrainComputer Interface
Optimal AI
Emotional Intelligence
Questions
Why did you not implement Perceptron
Training
Recalibration

Taught by

Data Science Conference

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