An Optimized Structure-Function Design Principle Underlies Efficient Signaling Dynamics in Neurons.

Dynamic signaling on branching axons is critical for rapid and efficient communication between neurons in the brain. Efficient signaling in axon arbors depends on a trade-off between the time it takes action potentials to reach synaptic terminals (temporal cost) and the amount of cellular material associated with the wiring path length of the neuron's morphology (material cost). However, where the balance between structural and dynamical considerations for achieving signaling efficiency is, and the design principle that neurons optimize to preserve this balance, is still elusive. In this work, we introduce a novel analysis that compares morphology and signaling dynamics in axonal networks to address this open problem. We show that in Basket cell neurons the design principle being optimized is the ratio between the refractory period of the membrane, and action potential latencies between the initial segment and the synaptic terminals. Our results suggest that the convoluted paths taken by axons reflect a design compensation by the neuron to slow down signaling latencies in order to optimize this ratio. Deviations in this ratio may result in a breakdown of signaling efficiency in the cell. These results pave the way to new approaches for investigating more complex neurophysiological phenomena that involve considerations of neuronal structure-function relationships

Using Quantum Computing to Infer Dynamic Behaviors of Biological and Artificial Neural Networks

The exploration of new problem classes for quantum computation is an active area of research. An essentially completely unexplored topic is the use of quantum algorithms and computing to explore and ask questions \textit{about} the functional dynamics of neural networks. This is a component of the still-nascent topic of applying quantum computing to the modeling and simulations of biological and artificial neural networks. In this work, we show how a carefully constructed set of conditions can use two foundational quantum algorithms, Grover and Deutsch-Josza, in such a way that the output measurements admit an interpretation that guarantees we can infer if a simple representation of a neural network (which applies to both biological and artificial networks) after some period of time has the potential to continue sustaining dynamic activity. Or whether the dynamics are guaranteed to stop either through 'epileptic' dynamics or quiescence

Magic and Memory: Dido's Ritual for Inducing Forgetfulness in Aeneid 4

In this article, I examine the nature of Dido’s magic ritual in Aeneid 4, reading it as a magic ritual aimed at inducing forgetfulness. I argue that in burning his belongings, Dido intends to forget Aeneas and not to destroy him; for this purpose, I study this episode in the light of non-literary sources and of the poetic tradition concerning love magic and the obliteration of memory.info:eu-repo/semantics/publishedVersio

Vt cecinit poeta : The presence of Virgil in Rodrigo de Castro's De uniuersa mulierum medicina

De uniuersa mulierum medicina, by the Portuguese physician Rodrigo de Castro, is a complex gynaecological treatise that comprises sources concerning various medical aspects, both ancient and contemporary to the author, and also non-technical sources, namely poets from classical antiquity. This being the first article on the presence of Virgil in Castro, the main goal is to see where Virgil’s Georgics 4 and Aeneid 6 are used in the De uniuersa mulierum medicina and explore how passages from the Virgilian oeuvre were used by the Portuguese physician.info:eu-repo/semantics/publishedVersio