Brain code
Brain code, sometimes also referred to as "mind code" or less general "neural code" refers to the interpretation of neural activity in the cerebral cortex as data structure for the representation of mental content, together with basic mechanisms of organization of activity and of structure.
The hypothesis that there is a unified code or language underlying not only the human brain but essentially all neural structures refers to earlier contributions by Christoph von der Malsburg[1][2][3] and other authors.[4][5] It has been taken up by various media sources, tech entrepreneurs and scientists.[6][7][8][9]
Philosophy
A prominent thought experiment[by whom?] relates the discovery of Sir Isaac Newton of the laws of motion as elaborated in the principia in 1687 with the as of yet unknown brain code. According to Newton's discoveries, a few simple laws firmly grounded in physics underlie the movement not only of moving bodies on earth but also the movements of planets and stars in the entire universe. The brain code refers to an as of yet hidden set of laws that constitute the dynamics and interplay not only of brain cells but of essentially all structure in the brain such as glia cells, neurons but also genetic regulatory networks or any other structure and mechanism constituting the brain. Work from Rodney Brooks and Rolf Pfeifer on Embodiment indicate that not only mechanisms in the brain but processes distributed across and within an entire organism may also need to be considered when tackling the "brain code".
See also
References
- ↑ (in English) Christoph Von Der Malsburg: The Neural Code Issue, 2017-02-09, https://archive.org/details/Redwood_Center_2017_02_09_Christoph_Von_Der_Malsburg, retrieved 2018-06-06
- ↑ 1981, Willshaw DJ, von der Malsburg C. How patterned neural connections can be set up by self-organization. Proceedings of the Royal Society of London. Series B, Biological Sciences. 194: 431-45
- ↑ 1999, von der Malsburg C. The what and why of binding: the modeler's perspective. Neuron. 24: 95-104, 111-25. PMID 10677030 DOI: 10.1016/S0896-6273(00)80825-9
- ↑ Thorpe, S.J. (1990). "Spike arrival times: A highly efficient coding scheme for neural networks" (PDF). In Eckmiller, R.; Hartmann, G.; Hauske, G. Parallel processing in neural systems and computers (PDF). North-Holland. pp. 91–94. ISBN:978-0-444-88390-2
- ↑ Gerstner W, Kreiter AK, Markram H, Herz AV; Kreiter; Markram; Herz (November 1997). "Neural codes: firing rates and beyond". Proc. Natl. Acad. Sci. U.S.A. 94 (24): 12740–1. Bibcode:1997PNAS...9412740G. PMC 34168 ,. PMID 9398065. doi:10.1073/pnas.94.24.12740
- ↑ Schoeneburg, Eberhard (2017-04-18). "Cracking the Neural Code !" (in en). https://www.linkedin.com/pulse/cracking-neural-code-eberhard-schoeneburg.
- ↑ Woodie, Alex (2017-08-10). "Why Cracking the 'Brain Code' Is Our Best Chance for True AI" (in en-US). Datanami. https://www.datanami.com/2017/08/10/cracking-brain-code-best-chance-true-ai/.
- ↑ Knight, Kristina (2017-06-22). "Exec weighs in on potential melding of human/AI brain" (in en). http://www.bizreport.com/2017/06/exec-weighs-in-on-potential-melding-of-humanai-brain.html.
- ↑ Tanz, Jason (2018-05-17). "Soon We Won't Program Computers. We'll Train Them Like Dogs" (in en-US). WIRED. https://www.wired.com/2016/05/the-end-of-code/.
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