Brain code

from Wikipedia, the free encyclopedia

The brain code , also called mind code or neural code , describes the interpretation of the neural activity in the cerebral cortex as a data structure for the representation of the mental content , structure and basic mechanisms of activity organization.

Hypotheses

The hypothesis that there is a uniform code or language that underlies not only the human brain , but essentially all neuronal structures, refers to earlier contributions by Christoph von der Malsburg and other authors.

This approach is currently emerging more and more in public discussion and is being discussed at various levels, in the media and in scientific circles.

A famous thought experiment brings the example of Newton's laws , as they are described in the Principia in 1687, in connection with a possible approach to explain the still unknown functioning of the brain. It is assumed that the complex functions are based on a few simple principles, similar to Newton's laws. Newton discovered the fundamental laws of physics that apply to moving bodies on earth and to the movements of planets and stars throughout the universe. These laws make us understand and predict their movements. The term "brain code" describes a still unknown series of laws that underlie the function and interaction of all parts and structures of the brain (such as glial cells , neurons , genetic regulatory networks or other structures and mechanisms). The work of Rodney A. Brooks and Rolf Pfeifer ("Embodied Embedded Cognition") suggests that not only chemical and electrical processes within the brain, but also processes that take place across the entire organism (body) play a key role in the Play function and must be taken into account when researching the "brain code".

Individual evidence

  1. ↑ Neural code:  https://archive.org/details/Redwood_Center_2017_02_09_Christoph_Von_Der_Malsburg
  2. ↑ 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
  3. ↑ C. von der Malsburg: The what and why of binding: the modeler's perspective. In: Neuron. Volume 24, No. 1, September 1999, pp. 95-104, 111, doi : 10.1016 / S0896-6273 (00) 80825-9 . PMID 10677030 (Review).
  4. ↑ Thorpe, SJ (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
  5. ^ W. Gerstner, AK Kreiter, H. Markram, AV Herz: Neural codes: firing rates and beyond. In: Proceedings of the National Academy of Sciences . Volume 94, number 24, November 1997, pp. 12740-12741, doi : 10.1073 / pnas.94.24.12740 , PMID 9398065 , PMC 34168 (free full text) (review).
  6. ↑ Cracking the neural code: https://www.linkedin.com/pulse/cracking-neural-code-eberhard-schoeneburg
  7. ↑ Interview on the brain code:  https://www.datanami.com/2017/08/10/cracking-brain-code-best-chance-true-ai/
  8. ↑ https://www.wired.com/2016/05/the-end-of-code/