Kay Leslie M
J Conscious Stud. 2018;25(1-2):50-63.
Freeman's studies on the physiology of the mammalian olfactory system were based on his characterization of activity of neural masses, based on a sigmoid relationship at the mesoscopic scale between population spiking activity as a result of continuous inputs. His early development of computational models to describe oscillatory responses of neural masses allowed him to predict physiological and anatomical properties, some of which required decades of research to be confirmed. His models of neural masses therefore allow us to link between basic physiology and cognitive processes. Through the study of brain physiology at the mesoscopic level, we can understand how internally generated meaning-based responses to sensory input become action and how action leads to perception.
弗里曼对哺乳动物嗅觉系统生理学的研究基于他对神经团活动的表征,该表征基于介观尺度上连续输入所导致的群体放电活动之间的S形关系。他早期开发的用于描述神经团振荡反应的计算模型使他能够预测生理和解剖学特性,其中一些特性需要数十年的研究才能得到证实。因此,他的神经团模型使我们能够在基础生理学和认知过程之间建立联系。通过在介观水平上研究大脑生理学,我们可以理解对感觉输入的基于内部生成意义的反应如何转变为行动,以及行动如何导致感知。