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摘要翻译：
我们报告了与环境进行行为交流的受试者的大脑活动测量。我们观察大脑状态，其特征是神经元群体的协调振荡，随着主体与其环境之间有意义的关系的演变而迅速变化，这种关系是由主动感知建立和维持的。在训练动物的感觉皮层中，在条件刺激和条件反应之间，神经活动具有高信息含量的序列空间模式类似于电影帧。它们不容易用经典的积分微分方程或神经网络的矩阵代数来描述。它们的模型是由凝聚态物理中的场论提供的。
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英文标题：
《Nonlinear brain dynamics and many-body field dynamics》
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作者：
Walter J. Freeman and Giuseppe Vitiello
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最新提交年份：
2005
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分类信息：
一级分类：Quantitative Biology 数量生物学
二级分类：Neurons and Cognition 神经元与认知
分类描述：Synapse, cortex, neuronal dynamics, neural network, sensorimotor control, behavior, attention
突触，皮层，神经元动力学，神经网络，感觉运动控制，行为，注意
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一级分类：Quantitative Biology 数量生物学
二级分类：Other Quantitative Biology 其他定量生物学
分类描述：Work in quantitative biology that does not fit into the other q-bio classifications
不适合其他q-bio分类的定量生物学工作
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英文摘要：
We report measurements of the brain activity of subjects engaged in behavioral exchanges with their environments. We observe brain states which are characterized by coordinated oscillation of populations of neurons that are changing rapidly with the evolution of the meaningful relationship between the subject and its environment, established and maintained by active perception. Sequential spatial patterns of neural activity with high information content found in sensory cortices of trained animals between onsets of conditioned stimuli and conditioned responses resemble cinematographic frames. They are not readily amenable to description either with classical integrodifferential equations or with the matrix algebras of neural networks. Their modeling is provided by field theory from condensed matter physics.
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PDF链接：
https://arxiv.org/pdf/q-bio/0507014
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