scholarly journals A biologically plausible model of human radial frequency perception

2006 ◽  
Vol 46 (15) ◽  
pp. 2443-2455 ◽  
Author(s):  
Frédéric J.A.M. Poirier ◽  
Hugh R. Wilson
Moreana ◽  
2012 ◽  
Vol 49 (Number 187- (1-2) ◽  
pp. 183-205
Author(s):  
François Mancel

This article wishes to elucidate two capital mysteries of Thomas More’s Utopia, which have remained unsolved nearly five hundred years after its publication: who hides behind the fictional portrait of Raphael Hythloday? And can we discover a plausible model of the island of Utopia somewhere on earth, in Thomas More’s time? This study shows that the never really abandoned thesis of recognizing Erasmus in Hythloday, is today reinforced by new suggestions, even if Erasmus is to share the embodiment of Hythloday with a Portuguese adventurer-writer. Besides, and although Thomas More asserts that Raphael is back from the Southern hemisphere, this essay also wishes to point out the surprising similarities between the Utopian island, with its capital Amaurot, and 16th century Siam, a land which, in Hythloday’s view, offered a reversed image of England.


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Ellen Brooks-Pollock ◽  
Hannah Christensen ◽  
Adam Trickey ◽  
Gibran Hemani ◽  
Emily Nixon ◽  
...  

AbstractControlling COVID-19 transmission in universities poses challenges due to the complex social networks and potential for asymptomatic spread. We developed a stochastic transmission model based on realistic mixing patterns and evaluated alternative mitigation strategies. We predict, for plausible model parameters, that if asymptomatic cases are half as infectious as symptomatic cases, then 15% (98% Prediction Interval: 6–35%) of students could be infected during the first term without additional control measures. First year students are the main drivers of transmission with the highest infection rates, largely due to communal residences. In isolation, reducing face-to-face teaching is the most effective intervention considered, however layering multiple interventions could reduce infection rates by 75%. Fortnightly or more frequent mass testing is required to impact transmission and was not the most effective option considered. Our findings suggest that additional outbreak control measures should be considered for university settings.


1993 ◽  
Vol 295 (2) ◽  
pp. 493-500 ◽  
Author(s):  
P Dominici ◽  
P S Moore ◽  
C Borri Voltattorni

The effect of guanidinium chloride (GuCl) on enzyme activity, hydrodynamic volume, circular dichroism, and fluorescence of 3,4-dihydroxyphenylalanine (Dopa) decarboxylase from pig kidney (pkDDC) was studied under equilibrium conditions. Unfolding proceeds in at least three stages. The first transition, occurring between 0 and 1 M GuCl, gives rise to a dimeric inactive species which has lost pyridoxal 5′-phosphate (PLP), and has a high tendency to aggregate, but retains almost all of the native spectroscopic characteristics. The second equilibrium transition, between 1 and 2.2 M GuCl, involves dimer dissociation, with some loss of tertiary and secondary structure. Additionally, gross conformational changes at or near the PLP microenvironment were detected by fluorescence of NaBH4-reduced enzyme. The third step, presumably representing complete unfolding of pkDDC, appears to be complete at 4.5 M GuCl, as indicated by the lack of further substantial changes in any of the signals being studied. Attempts at refolding resulted in the findings that: (1) partial reactivation is observed only starting from enzyme denatured at concentrations below 1.5 M GuCl, and (2) starting from completely denatured protein, the refolding process is apparently reversible down to concentrations of approx. 2 M GuCl. Taken together, this would seem to indicate that the monomer-dimer transition is impaired under the experimental conditions tested. A plausible model is presented for the unfolding/refolding of pkDDC.


2017 ◽  
Vol 28 (01) ◽  
pp. 1750001 ◽  
Author(s):  
José R. A. Torreão

The signal-tuned Gabor approach is based on spatial or spectral Gabor functions whose parameters are determined, respectively, by the Fourier and inverse Fourier transforms of a given “tuning” signal. The sets of spatial and spectral signal-tuned functions, for all possible frequencies and positions, yield exact representations of the tuning signal. Moreover, such functions can be used as kernels for space-frequency transforms which are tuned to the specific features of their inputs, thus allowing analysis with high conjoint spatio-spectral resolution. Based on the signal-tuned Gabor functions and the associated transforms, a plausible model for the receptive fields and responses of cells in the primary visual cortex has been proposed. Here, we present a generalization of the signal-tuned Gabor approach which extends it to the representation and analysis of the tuning signal’s fractional Fourier transform of any order. This significantly broadens the scope and the potential applications of the approach.


FEBS Letters ◽  
2007 ◽  
Vol 581 (26) ◽  
pp. 5143-5150 ◽  
Author(s):  
Chun Chen ◽  
Jun Cui ◽  
Wei Zhang ◽  
Pingping Shen

2009 ◽  
Vol 101 (1) ◽  
pp. 323-331 ◽  
Author(s):  
Eric Larson ◽  
Cyrus P. Billimoria ◽  
Kamal Sen

Object recognition is a task of fundamental importance for sensory systems. Although this problem has been intensively investigated in the visual system, relatively little is known about the recognition of complex auditory objects. Recent work has shown that spike trains from individual sensory neurons can be used to discriminate between and recognize stimuli. Multiple groups have developed spike similarity or dissimilarity metrics to quantify the differences between spike trains. Using a nearest-neighbor approach the spike similarity metrics can be used to classify the stimuli into groups used to evoke the spike trains. The nearest prototype spike train to the tested spike train can then be used to identify the stimulus. However, how biological circuits might perform such computations remains unclear. Elucidating this question would facilitate the experimental search for such circuits in biological systems, as well as the design of artificial circuits that can perform such computations. Here we present a biologically plausible model for discrimination inspired by a spike distance metric using a network of integrate-and-fire model neurons coupled to a decision network. We then apply this model to the birdsong system in the context of song discrimination and recognition. We show that the model circuit is effective at recognizing individual songs, based on experimental input data from field L, the avian primary auditory cortex analog. We also compare the performance and robustness of this model to two alternative models of song discrimination: a model based on coincidence detection and a model based on firing rate.


1991 ◽  
Vol 39 (4) ◽  
pp. 676-690 ◽  
Author(s):  
George Klosko

It is commonly held that theories of political obligation based on consent, whether express or tacit, cannot account for most people's obligations; that political obligations generally stem from being born into specific societies rather than from voluntary choice. In recent years, consent theorists have turned to ‘reformist’ consent, arguing that consent theory could be rescued if political institutions were reformed to allow the possibility of widespread consent. Various possible reforms are examined and shown to be inadequate. The most obvious mechanism, ‘consent-or-leave’, is disqualified because it is coercive. Other mechanisms would be unable to induce widespread consent while preserving consent's essential voluntary character. I refer to the most plausible model as ‘Hobbes's choice’, though because it must unacceptably limit non-consentors' ability to defend themselves, it too is unsatisfactory.


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