Department of Mathematics, University of Hawaii, Kapiolani, Honolulu, Hawaii, United States of America.
PLoS One. 2010 Feb 16;5(2):e9227. doi: 10.1371/journal.pone.0009227.
Two previous articles proposed an explicit model of how the brain processes information by its organization of synaptic connections. The family of logic circuits was shown to generate neural correlates of complex psychophysical phenomena in different sensory systems.
METHODOLOGY/PRINCIPAL FINDINGS: Here it is shown that the most cost-effective architectures for these networks produce correlates of electrophysiological brain phenomena and predict major aspects of the anatomical structure and physiological organization of the neocortex. The logic circuits are markedly efficient in several respects and provide the foundation for all of the brain's combinational processing of information.
CONCLUSIONS/SIGNIFICANCE: At the local level, these networks account for much of the physical structure of the neocortex as well its organization of synaptic connections. Electronic implementations of the logic circuits may be more efficient than current electronic logic arrays in generating both Boolean and fuzzy logic.
之前有两篇文章提出了一个明确的模型，说明了大脑通过其突触连接的组织来处理信息。逻辑电路家族被证明可以在不同的感觉系统中产生复杂心理物理现象的神经相关物。
方法/主要发现：这里表明，对于这些网络，最具成本效益的架构可以产生与电生理学脑现象相关的产物，并预测新皮层的解剖结构和生理组织的主要方面。逻辑电路在几个方面效率显著，为大脑对信息的所有组合处理提供了基础。
结论/意义：在局部水平上，这些网络解释了新皮层的大部分物理结构及其突触连接的组织。逻辑电路的电子实现可能比当前的电子逻辑阵列在生成布尔和模糊逻辑方面更有效。
