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1
Intro
2
About Jelena
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Projects on the Brain
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Outline
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Clinical definition
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Human computer interaction
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Principles
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Filtering
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Machine Learning
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Success
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Second Topic
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The Past
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Artificial Neural Networks
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Computational Model
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Cow
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Bayesian brain
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Bayesian inference
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Cat experiment
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Perceptual affordance
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Active inference
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Inspired from the brain
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BrainComputer Interface
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Optimal AI
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Emotional Intelligence
25
Questions
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Why did you not implement Perceptron
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Training
28
Recalibration
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it 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. Read more

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

Data Science Conference
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