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Comment
. 2013 Sep 24;110(39):15512-3.
doi: 10.1073/pnas.1313114110. Epub 2013 Sep 12.

Reverse engineering the cognitive brain

Gert Cauwenberghs  1
Affiliations
Comment

Reverse engineering the cognitive brain

Gert Cauwenberghs. Proc Natl Acad Sci U S A. .
No abstract available

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Conflict of interest statement

The author declares no conflict of interest.

Figures

Fig. 1.
Fig. 1.
(A) Multiscale levels of investigation in analysis of the central nervous system (adapted from ref. 4) and corresponding neuromorphic synthesis of highly efficient silicon cognitive microsystems. Boltzmann statistics of ionic and electronic channel transport provide isomorphic physical foundations. (B) Conceptual scaling of machine complexity with task complexity for a digital rule-based cognitive agent performing symbolic deep search, and a neuromorphic cognitive agent performing analog collective computation acquired through deep learning, targeting human cognitive performance. The shaded region indicates the desirable regime of high task complexity and lower machine complexity where the neuromorphic cognitive agent is expected to outperform symbolic digital alternatives.
See this image and copyright information in PMC

Comment on

  • Synthesizing cognition in neuromorphic electronic systems.
    Neftci E, Binas J, Rutishauser U, Chicca E, Indiveri G, Douglas RJ. Neftci E, et al. Proc Natl Acad Sci U S A. 2013 Sep 10;110(37):E3468-76. doi: 10.1073/pnas.1212083110. Epub 2013 Jul 22. Proc Natl Acad Sci U S A. 2013. PMID: 23878215 Free PMC article.

References

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