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Strobe rearing prevents the convergence of inputs with different response timings onto area 17 simple cells.

Strobe rearing prevents the convergence of inputs with different response timings onto area 17 simple cells. J. Neurophysiol. 80: 3005-3020, 1998. The preceding paper showed that the loss of direction selectivity in simple cells induced by strobe rearing reflects the elimination of spatially ordered response timing differences across the receptive field that underlie spatiotemporal (S-T) inseparability. Here we addressed whether these changes reflected an elimination of certain timings or an alteration in how timings were associated in single cells. Timing in receptive fields was measured using stationary bars undergoing sinusoidal luminance modulation at different temporal frequencies (0.5-6 Hz). For each bar position, response phase versus temporal frequency data were fit by a line to obtain two measures: absolute phase and latency. In normal cats, many individual simple cells display a wide range of timings; in layer 4, the mean range for absolute phase and latency was 0.21 cycles and 39 ms, respectively. Strobe rearing compressed the mean timing ranges in single cells, to 0.08 cycles and 31 ms, respectively, and this compression accounted for the loss of inseparability. A similar compression was measured in layer 6 cells. In contrast, the range of timing values across the simple-cell population was relatively normal. Single cells merely sampled narrower than normal regions of the timing space. We sought to understand these cortical changes in terms of how inputs from the lateral geniculate nucleus (LGN) may have been affected by strobe rearing. In normal cats, a wide range of absolute phase and latency values exists among lagged and nonlagged LGN cells, and these thalamic timings account for most of the cortical timings. Also, S-T inseparability in many simple cells can be attributed to the convergence of lagged and/or nonlagged inputs. Strobe rearing did not change the sampling of lagged and nonlagged cells, and the geniculate timings continued to account for most of the cortical timings. However, strobe rearing virtually eliminated cortical receptive fields with mixed lagged and nonlagged timing, and it compressed the timing range in cells dominated by one or the other geniculate type. Thus strobe rearing did not eliminate certain timings in LGN or cortex, but prevented the convergence of different timings on single cells. To account for these results, we propose a developmental model in which strobe stimulation alters the correlational structure of inputs based on their response timing. Only inputs with similar timing become associated on single cortical cells, and this produces S-T separable receptive fields that lack the ability to confer a preferred direction of motion.

Animals↗

Convergence of complex cognitive abilities in cetaceans and primates.

What examples of convergence in higher-level complex cognitive characteristics exist in the animal kingdom? In this paper I will provide evidence that convergent intelligence has occurred in two distantly related mammalian taxa. One of these is the order Cetacea (dolphins, whales and porpoises) and the other is our own order Primates, and in particular the suborder anthropoid primates (monkeys, apes, and humans). Despite a deep evolutionary divergence, adaptation to physically dissimilar environments, and very different neuroanatomical organization, some primates and cetaceans show striking convergence in social behavior, artificial 'language' comprehension, and self-recognition ability. Taken together, these findings have important implications for understanding the generality and specificity of those processes that underlie cognition in different species and the nature of the evolution of intelligence.

Animal Communication↗

Convergent and discriminant validity of the Yale-Brown Obsessive-Compulsive Scale Symptom Checklist.

BACKGROUND: The factor structure of the Yale-Brown Obsessive-Compulsive Scale Symptom Checklist (Y-BOCS-SC) has been well established, but its convergent and divergent reliability have yet to be studied. METHODS: Fifty-six obsessive-compulsive disorder (OCD) patients were administered the clinician-administered Y-BOCS-SC and Hamilton Rating Scale for Depression (HRSD), together with the self-administered Maudsley Obsessive Compulsive Inventory (MOCI), Padua Inventory (PI), State-Trait Anxiety Inventory (STAI), and Beck Depression Inventory (BDI). RESULTS: Overall, the correspondence between the Y-BOCS-SC and self-administered measures of OCD symptoms was poor to moderate. Its convergent validity was adequate for its washing dimension but poor for its other dimensions. The discriminant validity of the Y-BOCS-SC was adequate, showing little overlap with overall illness severity (total Y-BOCS) and state measures (BDI, STAI, HRSD). In contrast, self-administered OCD measures were significantly correlated with overall illness severity and state measures. CONCLUSIONS: The convergent validity of the Y-BOCS-SC was generally poor and this could only be partially explained by the incomplete coverage of some OCD symptoms in the self-administered scales. Its discriminant validity was good. Both self- and clinician-administered measures should be used in OCD research, as they seem to measure relatively non-overlapping constructs. Further research on the psychometric properties of the Y-BOCS-SC is needed.

Adult↗

Evaluation of mitral regurgitation using a digitally determined color Doppler flow convergence 'centerline' acceleration method. Studies in an animal model with quantified mitral regurgitation.

BACKGROUND: The imaging and measurement of the proximal flow convergence region in the left ventricle have been reported to be useful for identifying the site of mitral regurgitation (MR) and for evaluating its severity. However, the application of this method has not gained general acceptance. There have been few in vivo studies with quantified reference standards for determining regurgitant volume, and those that have been reported used spectral Doppler standards and/or nonsimultaneously performed contrast ventriculography. The purpose of the present study was to evaluate the proximal flow convergence centerline velocity-distance profile method applied to chronic MR resulting from flail mitral leaflets in an animal model in which regurgitant flow rates and regurgitant volumes were determined simultaneously with electromagnetic flow probes and flowmeters. METHODS AND RESULTS: In six sheep, a total of 18 hemodynamically different states were obtained when the animals were restudied 6 months after surgical induction of MR produced by severing chordae tendineae to the anterior (three sheep) or posterior (three sheep) mitral leaflet. Echocardiographic studies with a Vingmed 750 were performed to obtain complete proximal axial flow acceleration velocity-distance profiles for each hemodynamic state. The color Doppler velocity data were directly transferred in digital format from the ultrasound instrumentation to a microcomputer. The severity of MR was assessed by the magnitude of the mitral regurgitant fraction determined using both mitral and aortic electromagnetic flow probes balanced against each other to yield regurgitant volume. MR was classified as grade I when the regurgitant fraction was < 20%, as grade II when it was 20% to 35%, and as grade III to IV when it was > 35%. Thus, of the 18 hemodynamic states, 4 (from two sheep) were grade I, 7 (from five sheep) were grade II, and 7 (from three sheep) were grade III to IV. All of the velocity-distance acceleration curves showed organized acceleration fields with highly significant correlations using multiplicative regression fits (y = a.x-b, r = .90 to .99, all P < .01). Grade III to IV MR resulted in rightward and upward shifts of the velocity-distance profile curves compared with those produced by grade II and grade I MR. All of the centerline velocity-distance profiles for grade III or IV regurgitation resided in a domain encompassed by velocities > 0.5 m/s at distances from the orifice > 0.6 cm; the profiles for grade I regurgitation resided in a domain encompassed by velocities < 0.3 m/s at distances from the orifice of < 0.45 cm. The profiles for grade II regurgitations resided in a domain between them. Regression analysis for the distance at which a velocity of 0.5 m/s was first reached bore a close relation to regurgitant fraction (r = .92, P < .0001) and peak regurgitant flow rate (r = .89, P < .0001). In addition, an equation for quantitatively correlating both a and b (coefficients from the multiplicative regression fits) with the peak regurgitant flow rate (Qpeak in L/min) was derived from stepwise regression analysis: Qpeak = 12a + 2.7b-2.4 (r = .96, P < .0001, SEE = .45 L/min). CONCLUSIONS: In this study, using quantified MR volume, we demonstrate that the proximal flow convergence axial centerline velocity-distance profile method can be used for evaluating the severity of MR without any assumption about isovelocity surface shape geometry.

Animals↗

Asymptotic convergence rate of the EM algorithm for gaussian mixtures

It is well known that the convergence rate of the expectation-maximization (EM) algorithm can be faster than those of convention first-order iterative algorithms when the overlap in the given mixture is small. But this argument has not been mathematically proved yet. This article studies this problem asymptotically in the setting of gaussian mixtures under the theoretical framework of Xu and Jordan (1996). It has been proved that the asymptotic convergence rate of the EM algorithm for gaussian mixtures locally around the true solution Theta* is o(e(0. 5-epsilon)(Theta*)), where epsilon > 0 is an arbitrarily small number, o(x) means that it is a higher-order infinitesimal as x --> 0, and e(Theta*) is a measure of the average overlap of gaussians in the mixture. In other words, the large sample local convergence rate for the EM algorithm tends to be asymptotically superlinear when e(Theta*) tends to zero.

Journal Article↗

Improving the convergence of the backpropagation algorithm using learning rate adaptation methods.

This article focuses on gradient-based backpropagation algorithms that use either a common adaptive learning rate for all weights or an individual adaptive learning rate for each weight and apply the Goldstein/Armijo line search. The learning-rate adaptation is based on descent techniques and estimates of the local Lipschitz constant that are obtained without additional error function and gradient evaluations. The proposed algorithms improve the backpropagation training in terms of both convergence rate and convergence characteristics, such as stable learning and robustness to oscillations. Simulations are conducted to compare and evaluate the convergence behavior of these gradient-based training algorithms with several popular training methods.

Adaptation, Psychological↗

Convergence properties of the softassign quadratic assignment algorithm.

The softassign quadratic assignment algorithm is a discrete-time, continuous-state, synchronous updating optimizing neural network. While its effectiveness has been shown in the traveling salesman problem, graph matching, and graph partitioning in thousands of simulations, its convergence properties have not been studied. Here, we construct discrete-time Lyapunov functions for the cases of exact and approximate doubly stochastic constraint satisfaction, which show convergence to a fixed point. The combination of good convergence properties and experimental success makes the softassign algorithm an excellent choice for neural quadratic assignment optimization.

Algorithms↗

Parameter convergence and learning curves for neural networks.

We revisit the oft-studied asymptotic (in sample size) behavior of the parameter or weight estimate returned by any member of a large family of neural network training algorithms. By properly accounting for the characteristic property of neural networks that their empirical and generalization errors possess multiple minima, we rigorously establish conditions under which the parameter estimate converges strongly into the set of minima of the generalization error. Convergence of the parameter estimate to a particular value cannot be guaranteed under our assumptions. We then evaluate the asymptotic distribution of the distance between the parameter estimate and its nearest neighbor among the set of minima of the generalization error. Results on this question have appeared numerous times and generally assert asymptotic normality, the conclusion expected from familiar statistical arguments concerned with maximum likelihood estimators. These conclusions are usually reached on the basis of somewhat informal calculations, although we shall see that the situation is somewhat delicate. The preceding results then provide a derivation of learning curves for generalization and empirical errors that leads to bounds on rates of convergence.

Algorithms↗

A convergence analysis of unconstrained and bound constrained evolutionary pattern search.

We present and analyze a class of evolutionary algorithms for unconstrained and bound constrained optimization on R(n): evolutionary pattern search algorithms (EPSAs). EPSAs adaptively modify the step size of the mutation operator in response to the success of previous optimization steps. The design of EPSAs is inspired by recent analyses of pattern search methods. We show that EPSAs can be cast as stochastic pattern search methods, and we use this observation to prove that EPSAs have a probabilistic, weak stationary point convergence theory. This convergence theory is distinguished by the fact that the analysis does not approximate the stochastic process of EPSAs, and hence it exactly characterizes their convergence properties.

Algorithms↗

Improved sampling of the pareto-front in multiobjective genetic optimizations by steady-state evolution: a pareto converging genetic algorithm.

Previous work on multiobjective genetic algorithms has been focused on preventing genetic drift and the issue of convergence has been given little attention. In this paper, we present a simple steady-state strategy, Pareto Converging Genetic Algorithm (PCGA), which naturally samples the solution space and ensures population advancement towards the Pareto-front. PCGA eliminates the need for sharing/niching and thus minimizes heuristically chosen parameters and procedures. A systematic approach based on histograms of rank is introduced for assessing convergence to the Pareto-front, which, by definition, is unknown in most real search problems. We argue that there is always a certain inheritance of genetic material belonging to a population, and there is unlikely to be any significant gain beyond some point; a stopping criterion where terminating the computation is suggested. For further encouraging diversity and competition, a nonmigrating island model may optionally be used; this approach is particularly suited to many difficult (real-world) problems, which have a tendency to get stuck at (unknown) local minima. Results on three benchmark problems are presented and compared with those of earlier approaches. PCGA is found to produce diverse sampling of the Pareto-front without niching and with significantly less computational effort.

Algorithms↗

Evaluating the convergence of muscle appearance attitude measures.

There has been growing interest in the assessment of a muscular appearance. Given the importance of assessing muscle appearance attitudes, the aim of this study was to explore the convergence of the Drive for Muscularity Scale, Somatomorphic Matrix, Contour Drawing Rating Scale, Male Figure Drawings, and the Muscularity Rating Scale. Participants were 76 men and 103 women who each completed four measures of body image that were meant to evaluate two distinct domains of appearance attitudes: muscularity and body fat. For both genders, data indicated low convergence among muscularity measures, but high convergence among body fat measures. For men, the Drive for Muscularity Body Image subscale exhibited the greatest concurrent validity with behaviors used to increase muscularity. The results are discussed in light of the selection of methods for the assessment of muscle appearance attitudes.

Adolescent↗

Convergent validity of the personality assessment inventory: A study of emergency referrals in a correctional setting.

The Personality Assessment Inventory (PAI) is a new generation multiscale inventory that is widely used in clinical settings. The current study examined its convergent validity with emergency referrals in a metropolitan correctional facility. A sample of 80 referrals completed two phases of an assessment study. As a measure of convergent validity, results on select PAI scales were compared to the Schedule of Affective Disorders and Schizophrenia (SADS), the Structured Interview of Reported Symptoms (SIRS), and the Suicide Probability Scale (SPS). Overall, results indicated moderate to good convergent validity for the following: (a) screening for feigned profiles, (b) establishing clinical correlates of common disorders, and (c) evaluating the potential for suicidal ideation.

Adult↗

Bilateral medial rectus recession in convergence excess esotropia, with and without distance orthophoria.

PURPOSE: To evaluate the effectivity and safety of bilateral medial rectus recession for the correction of acquired convergence excess esotropia, with and without distance orthophoria. METHODS: Thirty-five pediatric patients with acquired convergence excess esotropia were operated with bilateral medial rectus recessions based on the near angle measured through the distance correction. Preoperatively, in 26 patients, full hypermetropic correction did not fully correct the distance angle; these patients were operated for the residual angle for distance and near. In nine patients full hypermetropic correction produced distance orthophoria and these cases also had near orthophoria through a near add; these patients could have used bifocals, but surgery was chosen instead. RESULTS: Postoperatively, 19 of the 26 patients with distance esotropia (73%) and 6 of the 9 with distance orthophoria (66.6%) were successfully aligned. Consecutive exotropia developed in two patients (7.6%) in the distance esotropia group and one (11.1%) in the distance orthophoria group. CONCLUSIONS: These results suggest that bilateral recession of the medial recti based on the near deviation is effective in eliminating the near angle in convergence excess esotropia. In patients with distance orthophoria this operation can be used as an initial treatment instead of bifocals. Although the risk of consecutive exotropia was low in this series, a larger number of patients would determine its actual rate more accurately.

Child↗

Early convergence research and education supported by the National Science Foundation.

The following pages describe research grants awarded by the National Science Foundation that illustrate how different fields of science and technology can converge in order to increase human potential. Technological convergence involves the unification of the sciences of Nanotechnology, Biotechnology, Information Technology, and new technologies based on Cognitive Science (NBIC). Because it supports research across all major branches of science and technology, including the social and behavioral sciences, the NSF has been a focus of discussions about converging technologies to enhance human capabilities and serve human needs.

Biomedical Enhancement↗

The convergence of the California Q-set and the California Psychological Inventory: gender as a critical variable.

Clinician-report California Q-set and self-report California Psychological Inventory data were compared to explore convergence and divergence between these two modes of personality assessment. Based on responses from a sample of 215 approximately 50-year-old men and women, the self-report California Psychological Inventory data were converted to California Q-set item values using previously determined redundancy analysis formulae. These data were then correlated with composite clinicians' ratings, using the same California Q-set items. Substantial convergence was found for both genders on four of six derived components--Empowerment, Intellectuality, Nonconformity, and Outgoingness. Two additional components--Psychological Health and Bodily Concern--showed convergence for women only. We argue analysis of item content and scores must be done for each gender separately.

Adult↗

Epileptic discharges triggered by eye convergence.

A 27-year-old man with major motor and minor seizures showed focal epileptic discharges and electrical seizures triggered by eye convergence. Other voluntary ocular movements failed to evoke reflex epileptic discharges. Eye convergence triggered discharges even after the eyelids were strapped open with tapes and the pupillary and accommodation reflexes were temporarily paralyzed. This patient also showed pattern-sensitive focal epileptic discharges arising from the same area of the brain as those induced by eye convergence, but he was not photosensitive.

Adult↗

Upbeat nystagmus changing to downbeat nystagmus with convergence.

A 35-year-old woman developed upbeating nystagmus while recovering from presumed Wernicke-Korsakoff syndrome. The upbeating nystagmus changed to downbeating nystagmus with convergence. The slow-phase velocity of the downbeating nystagmus varied with the convergence effort. We believe that this unusual nystagmus pattern implies convergence input to the supranuclear centers for vertical gaze.

Adult↗

The dorsal involuting marginal zone stiffens anisotropically during its convergent extension in the gastrula of Xenopus laevis.

Physically, the course of morphogenesis is determined by the distribution and timing of force production in the embryo and by the mechanical properties of the tissues on which these forces act. We have miniaturized a standard materials-testing procedure (the stress-relaxation test) to measure the viscoelastic properties of the dorsal involuting marginal zone, prechordal mesoderm, and vegetal endoderm of Xenopus laevis embryos during gastrulation. We focused on the involuting marginal zone, because it undergoes convergent extension (an important and wide-spread morphogenetic process) and drives involution, blastopore closure and elongation of the embryonic axis. We show that the involuting marginal zone stiffens during gastrulation, stiffening is a special property of this region rather than a general property of the whole embryo, stiffening is greater along the anteroposterior axis than the mediolateral axis and changes in the cytoskeleton or extracellular matrix are necessary for stiffening, although changes in cell-cell adhesions or cell-matrix adhesions are not ruled out. These findings provide a baseline of data on which future experiments can be designed and make specific, testable predictions about the roles of the cytoskeleton, extracellular matrix and intercellular adhesion in convergent extension, as well as predictions about the morphogenetic role of convergent extension in early development.

Animals↗