1
Q
How can one use information from the brain?
A
By decoding neural signals into “usable” signals.
2
Q
What is the role of machine learning in BCI?
A
Learn the relationships between brain patterns with possible control outputs
3
Q
When does a neural signal ‘contain information’ about X?
A
When there is a systematic relationship between brain activity and X.
In order to read information from the brain about X one has to decide about what X actually is.
X could in principle be anything ( images / actions / letters / syllables / words/ …), but only if the relationship between neural activity and X is reproducible, can we develop specific BCIs for that X.
The Computing Brain 2020
flashcards
Decks in class (21)
# Cards
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Week 1.1 - Introduction19
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Week 1.2 - The Single Neuron & 1.3 - Lab Visit46
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Week 1.4 - Biophysical Neuronal Models and Neurodynamics40
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Week 2.5 - Animal Behaviour and Cognition50
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Week 2.6 & 2.7 - Organisation of Brains (Anatomy) & Lab Visit45
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Week 3.8 - LIF8
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Week 3.9 - Encoding and Decoding Part I16
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Week 3.10 - Neural Decoding: Signal Reconstruction12
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Neuroethics debate12
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Week 4.11 - The Embodied Brain32
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4.12 - Embodied Models of Brain Function12
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4.12.1 Linear Systems10
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5.14 - Synapses and Synaptic Models35
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5.15 - Learning and Memory19
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5.16 - Functional Localisation in Brains I: Topography18
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6.17 - Self-organisation and Hebbian Learning16
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6.18 - Functional Localisation in Brains II: Hierarchical processing20
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6.19 - Pattern recognition and Categorisation in FFFNs22
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7.20 & 7.21 - Recurrent Neural Networks16
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8.23 Brain Computer Interfaces3
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Brainscape Tutorial1
