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1.
J Hist Ideas ; 83(3): 387-406, 2022.
Article in English | MEDLINE | ID: mdl-35815512

ABSTRACT

This article presents evidence of a previously unknown seventeenth-century disputation at the University of Oxford on the controversial subject of theatrical performance. The evidence appears in the student notebook of Edmund Leigh, who received his BA from Brasenose College in 1604, and who was a protégé of the renowned scholar and theologian John Rainolds. Leigh's notes, which are drawn mainly from Aristotle's Politics and John Case's commentary on that text, provide valuable insight into academic debates over drama. They also suggest that Aristotle, and the Politics in particular, played a larger role in these discussions than scholars have acknowledged.


Subject(s)
Drama , Humans , Politics , Universities
2.
Brain Res Cogn Brain Res ; 13(3): 293-304, 2002 May.
Article in English | MEDLINE | ID: mdl-11918995

ABSTRACT

Layer IV is believed to be the cortical signal amplifier, for example, of thalamic signals. A previous spiny stellate recurrent network model of this layer is made more realistic by the addition of inhibitory basket neurons. We study the persistence and characteristics of previously observed collective firing behavior, and investigate what additional features would need to be implemented to generate in vivo type neuronal firing. It is shown that neuronal activity is only coarsely synchronized within the network. By applying methods of noise-cleaning, it emerges that the firing of individual neurons is of low-dimensional hyperchaotic nature, as found in the analysis of measured cat in vivo spike trains. In order to reproduce in vivo firing patterns, it is sufficient to have time-varying thalamic input. Conclusions from low-dimensional hyperchaotic behavior of network-embedded neurons are drawn. We interpret observed in vivo pattern-sharpening features of stimuli and outline possible connections to epilepsy. From our results, it follows that emergent global behavior is likely to be the result of the interaction between comparably simple neuronal components, driven by input specificity.


Subject(s)
Cerebral Cortex/physiology , Neural Networks, Computer , Neurons/physiology , Thalamus/physiology , Action Potentials/physiology , Afferent Pathways/physiology , Animals , Cats , Female , Fractals , Neural Inhibition/physiology , Nonlinear Dynamics , Visual Cortex/physiology
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