A novel polar-based human face recognition computational model

Motivated by a recently proposed biologically inspired face recognition approach, we investigated the relation between human behavior and a computational model based on Fourier-Bessel (FB) spatial patterns. We measured human recognition performance of FB filtered face images using an 8-alternative forced-choice method. Test stimuli were generated by converting the images from the spatial to the FB domain, filtering the resulting coefficients with a band-pass filter, and finally taking the inverse FB transformation of the filtered coefficients. The performance of the computational models was tested using a simulation of the psychophysical experiment. In the FB model, face images were first filtered by simulated V1- type neurons and later analyzed globally for their content of FB components. In general, there was a higher human contrast sensitivity to radially than to angularly filtered images, but both functions peaked at the 11.3-16 frequency interval. The FB-based model presented similar behavior with regard to peak position and relative sensitivity, but had a wider frequency band width and a narrower response range. The response pattern of two alternative models, based on local FB analysis and on raw luminance, strongly diverged from the human behavior patterns. These results suggest that human performance can be constrained by the type of information conveyed by polar patterns, and consequently that humans might use FB-like spatial patterns in face processing.

The death and resurrection of 'economics with psychology': remarks from a methodological standpoint

One of the merits of contemporary economic analysis is its capacity to offer accounts of choice behavior that dispense with details of the complex decision machinery. The starting point of this paper is the concern with the important methodological debate about whether economics might offer accurate predictions and explanations of actual behavior without any reference to psychological presuppositions. Inspired by an exercise of rational reconstruction of ideas, I aim to offer an interpretation of the process of freeing economic analysis from psychology at the end of the 19th century and the contemporary resurrection of behavioral approaches in the late 1980s.

A note on the Pazos-Simonsen mechanism and Kaldor's early research on Latin American inflation

In contrast with the inflationary finance story, inflation acceleration in Latin America has been explained as the result of the interaction of inflation dynamics and the frequency of wage adjustments. Accordingly, small inflation disturbances are connected with a shift from moderate to high inflation (or beyond to hyperinflation) though a mechanism that makes adjustment intervals in wage contracts endogenous. Rudiger Dornbusch (1986) labeled this process the "Pazos-Simonsen mechanism". In this note we summarize the basic contribution of both Felipe Pazos (1978) and Mario Henrique Simonsen (1983) and find crucial differences between their views on wage dynamics, specifically regarding the endogeneity of the time interval between wage readjustments. A remarkable affinity with Pazos's view on wage dynamics and inflation is found in an early and almost unknown essay written by Nicholas Kaldor in 1957 (inspired in his brief experience in Latin America).