Joe Z. Tsien

Joe Z. Tsien(钱卓)[1] is a neuroscientist who pioneered Cre/lox-neurogenetics in the mid-1990s,[2] a versatile toolbox for neuroscientists to study the complex relationships between genes, neural circuits, and behaviors.[3] He is also known as the creator of the smart mouse Doogie in the late 1990s while being a faculty member at Princeton University.[4][5]

Recently, he developed the Theory of Connectivity in an effort to explain the origin of intelligence, or the basic design principle underlying brain computation and intelligence.[6][7] The theory states that brain computation is organized by a power-of-two-based permutation logic in constructing cell assemblies - the basic building blocks of neural circuits.[8] The theory has received a set of validation from multiple experiments. The discovery of this basic computational logic of the brain can have important implications for the development of artificial general intelligence.

In addition, Tsien has also postulated the Neural Self-Information Theory to describe how the brain encodes the moment-to-moment perceptions, memories, spatial navigation, decision-making and conscious action executions. [9] [10] The Neural Self-Information Theory and Theory of Connectivity may provide two fundamental frameworks to not only understand how the brain works, but also the development of brain-inspired neuromorphic computation.

  1. ^ "聪明鼠"之父、美国华裔生物学家---钱卓(Sina article on Joe Z. Tsien)". March 2018.
  2. ^ Joe Z. Tsien; et al. (1996). "Subregion- and cell type-restricted gene knockout in mouse brain". Cell. 87 (7): 1317–1326. doi:10.1016/S0092-8674(00)81826-7. PMID 8980237. S2CID 863399.
  3. ^ Cite error: The named reference :1 was invoked but never defined (see the help page).
  4. ^ Tang, YP; Shimizu, E; Dube, GR; Rampon, C; Kerchner, GA; Zhuo, M; Liu, G; Tsien, JZ (Sep 1999). "Genetic enhancement of learning and memory in mice". Nature. 401 (6748): 63–9. Bibcode:1999Natur.401...63T. doi:10.1038/43432. PMID 10485705. S2CID 481884.
  5. ^ Tsien, Building a Brainer Mouse. Scientific American, April, p62-68, 2000. http://www.bio.utexas.edu/courses/kalthoff/bio346/PDF/Readings/11Tsien%282000%29brainier.pdf
  6. ^ Tsien, JZ (2016). "Principles of Intelligence: On Evolutionary Logic of the Brains". Front. Syst. Neurosci. 9: 186. doi:10.3389/fnsys.2015.00186. PMC 4739135. PMID 26869892.
  7. ^ Cite error: The named reference :5 was invoked but never defined (see the help page).
  8. ^ Cite error: The named reference :6 was invoked but never defined (see the help page).
  9. ^ Li, M; Tsien, JZ (2017). "Neural Code-Neural Self-information Theory on How Cell-Assembly Code Rises from Spike Time and Neuronal Variability". Front Cell Neurosci. 11: article 236. doi:10.3389/fncel.2017.00236. PMC 5582596. PMID 28912685.
  10. ^ Li, M; Xie, K; Kuang, H; Liu, J; Wang, D; Fox, GE; Shi, Z; Chen, L; Zhao, F; Mao, Y; Tsien, JZ (2018). "Neural Coding of Cell Assemblies via Spike-Timing Self-Information". Cereb Cortex. 28 (7): 2563–2576. doi:10.1093/cercor/bhy081. PMC 5998964. PMID 29688285.