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Brains perform with remarkable efficiency, are capable of prodigiouscomputation, and are marvels of communication. We are beginningto understand some of the geometric, biophysical, and energyconstraints that have governed the evolution of cortical networks.To operate efficiently within these constraints, nature hasoptimized the structure and function of cortical networks withdesign principles similar to those used in electronic networks.The brain also exploits the adaptability of biological systemsto reconfigure in response to changing needs.
1 Department of Zoology, University of Cambridge, Downing Street, Cambridge CB2 3EJ, UK. 2 Howard Hughes Medical Institute, Salk Institute for Biological Studies, La Jolla, CA 92037, USA. 3 Division of Biological Sciences, University of California, San Diego, La Jolla, CA 92093, USA.
* To whom correspondence should be addressed. E-mail: terry{at}salk.edu
Maximization of the connectivity repertoire as a statistical principle governing the shapes of dendritic arbors.
Q. Wen, A. Stepanyants, G. N. Elston, A. Y. Grosberg, and D. B. Chklovskii (2009)
PNAS
106, 12536-12541
|Abstract »|Full Text »|PDF »
How the Optic Nerve Allocates Space, Energy Capacity, and Information.
J. A. Perge, K. Koch, R. Miller, P. Sterling, and V. Balasubramanian (2009)
J. Neurosci.
29, 7917-7928
|Abstract »|Full Text »|PDF »
Tract-based Analysis of Magnetization Transfer Ratio and Diffusion Tensor Imaging of the Frontal and Frontotemporal Connections in Schizophrenia.
R. C. W. Mandl, H. G. Schnack, J. Luigjes, M. P. van den Heuvel, W. Cahn, R. S. Kahn, and H. E. Hulshoff Pol (2008)
Schizophr Bull
|Abstract »|Full Text »|PDF »
Does face image statistics predict a preferred spatial frequency for human face processing?.