Sebastian Seung é O cara....

Depois de ver e ouvir a palestra de Sebastian Seung (do MIT) nas TED Talks, imediatamente me posicionei para passar algum material para os leitores. O assunto da Connectomics é prá lá de interessante, e eu aconselho a ouvir a palestra antes e tentar ler alguma coisa depois, quem sabe procurar mais coisas no Google Scholar da autoria de Seung (há dezenas, de muitas épocas).

Sebastian Seung: I am my connectome
TED Talks
July 2010
Ligar as legendas em inglês: como não as temos em português, sempre quebra um galho.
http://www.ted.com/talks/sebastian_seung.html

Machines that learn to segment images: a crucial technology for connectomics
Viren Jain, H Sebastian Seung and Srinivas C Turaga
http://hebb.mit.edu/people/seung/papers/JainSeungTuraga_CurrOpinion.pdf

Reading the Book of Memory: Sparse Sampling versus Dense Mapping of Connectomes
H. Sebastian Seung
Howard Hughes Medical Institute, Brain and Cognitive Sciences Department, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
*Correspondence: seung@mit.edu
DOI 10.1016/j.neuron.2009.03.020

Abstract.Many theories of neural networks assume rules of connection between pairs of neurons that are based on their cell types or functional properties. It is finally becoming feasible to test such pairwise models of connectivity, due to emerging advances in neuroanatomical techniques. One method will be to measure the functional properties of connected pairs of neurons, sparsely sampling pairs from many specimens. Another method will be to find a ‘‘connectome,’’ a dense map of all connections in a single specimen, and infer functional properties of neurons through computational analysis. For the latter method, the most exciting prospect would be to decode the memories that are hypothesized to be stored in connectomes.

http://linkinghub.elsevier.com/retrieve/pii/S0896627309002451

E não deixe de reler :
The Human Connectome: A Structural Description of the Human Brain
Olaf Sporns, Giulio Tononi, Rolf Kotter 2005
já publicado aqui.