PMID-20228862[0] Grand Challenges of Brain Computer Interfaces in the Years to Come
- Problem 1: If you have no theory of mind, you just keep making a series of measurements.
- EEG is like listening to lectures of millions of people ... simultaneously.
- Single unit recordings is like probing a microchip's individual wires and trying to figure out what it's doing (this is not a good analogy, though -- brains are far more robust to part failure than a computer).
- References Todorov 2004 PMID-15332089[1] Wolpert and Ghahramani 2000: Sensorimotor control.
- Problem 2: noisy measurements.
- Might be the brains problem, not us: neuronal interactions modify rapidly during sensorimotor learning. Jarosiewicz et al 2008. PMID-19047633[2]
- Claim to have a system that learns control within 1-2 minutes or '10 seconds', coadaptively. Shpigelman 2009. bibtex:Shpigelman-2009
- In drug resistant focal epilepsy, not only were substantial reductions in seizures reported, but also large gains in IQ and cognitive functioning were demonstrated (Kotchoubey 2001, Strehl et al 2005) after training of slow cortical potential control. Better ref: PMID-10457815[3]
- Buch et al 2008 Demonstrated MEG BMI control. PMID-18258825[4]
- Even with sophisticated classification solutions, EEG cannot provide much better than 2D control (Birbaumer 1990). PMID-2404287[5]
- Ref Moritz [6]
- Supposes that nanotechnology may ultimately find a solution -- inert nanoprobes that measure activity and transmit a compressed version.
____References____
[0] Vaadia E, Birbaumer N, Grand challenges of brain computer interfaces in the years to come.Front Neurosci 3:2, 151-4 (2009 Sep 15) |
[1] Todorov E, Optimality principles in sensorimotor control.Nat Neurosci 7:9, 907-15 (2004 Sep) |
[2] Jarosiewicz B, Chase SM, Fraser GW, Velliste M, Kass RE, Schwartz AB, Functional network reorganization during learning in a brain-computer interface paradigm.Proc Natl Acad Sci U S A 105:49, 19486-91 (2008 Dec 9) |
[3] Thompson L, Thompson M, Neurofeedback combined with training in metacognitive strategies: effectiveness in students with ADD.Appl Psychophysiol Biofeedback 23:4, 243-63 (1998 Dec) |
[4] Buch E, Weber C, Cohen LG, Braun C, Dimyan MA, Ard T, Mellinger J, Caria A, Soekadar S, Fourkas A, Birbaumer N, Think to move: a neuromagnetic brain-computer interface (BCI) system for chronic stroke.Stroke 39:3, 910-7 (2008 Mar) |
[5] Birbaumer N, Elbert T, Canavan AG, Rockstroh B, Slow potentials of the cerebral cortex and behavior.Physiol Rev 70:1, 1-41 (1990 Jan) |
[6] Moritz CT, Perlmutter SI, Fetz EE, Direct control of paralysed muscles by cortical neurons.Nature 456:7222, 639-42 (2008 Dec 4) |
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