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Learning Paradigm (learning + paradigm)
Selected AbstractsSocial influence on predictions of simulated stock pricesJOURNAL OF BEHAVIORAL DECISION MAKING, Issue 3 2009Maria Andersson Abstract Herding in financial markets refers to that investors are influenced by others. This study addresses the importance of consistency for herding. It is suggested that, in financial markets perceptions of consistency are based on repeated observations over time. Consistency may then be perceived as the agreement across time between investors' predictions. In addition, consistency may be related to variance over time in each investor's predictions. In an experiment using a Multiple Cue Probability Learning paradigm, 96 undergraduates made multi-trial predictions of future stock prices given information about the current price and the predictions made by five fictitious others. Consistency was varied between the others' predictions (correlation) and within the others' predictions (variance). The results showed that the predictions were significantly influenced by the others' predictions when these were correlated. No effect of variance was observed. Hence, participants were influenced by the others when they were in agreement, regardless of whether they varied their predictions over trials or not. Copyright © 2008 John Wiley & Sons, Ltd. [source] Increase of learning abilities and maturation of the vertical lobe complex during postembryonic development in the cuttlefish, SepiaDEVELOPMENTAL PSYCHOBIOLOGY, Issue 2 2001Ludovic Dickel Abstract When shown prawns in a glass tube, cuttlefish quickly learn to inhibit their predatory behavior. By using a visual learning paradigm, we studied training and retention performances of cuttlefish aged from 8 to 90 days. We found an improvement in the acquisition of learning abilities during the first 2 months of life as well as an increase of 24-hr retention performance between 30 and 90 days of age. Using morphometric measurements of different lobes of the central nervous system, we correlated the emergence of these learning abilities with the postembryonic development of related nervous structures. Our results show that only the growth of the superior frontal and vertical lobes appears to be significantly correlated with the improvement of learning and long-term retention performances. Thus, as found in earlier data collected in Octopus, the vertical lobe complex of the cuttlefish seems to be involved in these learning processes. © 2001 John Wiley & Sons, Inc. Dev Psychobiol 40: 92,98, 2001 [source] The Effect of Learning Experiences and Context on Infant Imitation and GeneralizationINFANCY, Issue 6 2008Emily J. H. Jones Over the first years of life, infants gradually develop the ability to retrieve their memories across cue and contextual changes. Whereas maturational factors drive some of these developments in memory ability, experiences occurring within the learning event may also impact infants' ability to retrieve memories in new situations. In 2 experiments we examined whether it was possible to facilitate 12-month-old infants' generalization of learning in the deferred imitation paradigm by varying experiences before or during the demonstration session, or during the retention interval. In Experiment 1, altering the length, timing, or variability of training had no impact on generalization; infants showed a low, but consistent level of memory retrieval. In Experiment 2, infants who experienced a unique context for encoding and retrieval exhibited generalization; infants who experienced the context prior to the demonstration session, or during the retention interval, did not. Specificity is a robust feature of infant memory and is not substantially altered by encoding experiences in an observational learning paradigm. Previous history with a learning environment can, however, impact the flexibility of memory retrieval. [source] An efficient gait recognition based on a selective neural network ensembleINTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY, Issue 4 2008Heesung Lee Abstract The neural network ensemble is a learning paradigm where a collection of neural networks is trained for the same task. Generally, the ensemble shows better generalization performance than a single neural network. In this article, a selective neural network ensemble is applied to gait recognition. The proposed method selects some neural network based on the minimization of generalization error. Since the selection rule is directly incorporated into the cost function, we can obtain adequate component networks to constitute an ensemble. Experiments are performed with the NLPR database to show the performance of the proposed algorithm. © 2008 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 18, 237,241, 2008; Published online in Wiley InterScience (www.interscience.wiley.com). [source] Future integrated learning environments with multimediaJOURNAL OF COMPUTER ASSISTED LEARNING, Issue 1 2001T. Okamoto Abstract, Recent progress in information technology hardware and the spread of the Internet have opened a variety of new ways for many fields. Although slower than the business field to catch up with these new developments, the educational field has gradually migrated towards the World-wide web, mostly under the slogan of free, accessible education, to and from anyplace, at anytime. This development triggered an important shift from the teaching paradigm to the learning paradigm. However, slow network speed hindered the first learning environments from being more than simple, electronic text-books. The latest trends making use of increased bandwidths and integrating various media to enhance learning. Moreover, for obtaining learner-oriented, customised learning environ-ments, intelligent tutoring techniques are being adapted and developed for the web. This paper presents these trends on one hand, but on the other hand, also addresses the dangers and pitfalls that such an avalanche of change can bring and stresses the task of ensuring that the real goal of enhancing and improving learning is not overlooked. [source] Second Language Acquisition of Gender Agreement in Explicit and Implicit Training Conditions: An Event-Related Potential StudyLANGUAGE LEARNING, Issue 1 2010Kara Morgan-Short This study employed an artificial language learning paradigm together with a combined behavioral/event-related potential (ERP) approach to examine the neurocognition of the processing of gender agreement, an aspect of inflectional morphology that is problematic in adult second language (L2) learning. Subjects learned to speak and comprehend an artificial language under either explicit (classroomlike) or implicit (immersionlike) training conditions. In each group, both noun-article and noun-adjective gender agreement processing were examined behaviorally and with ERPs at both low and higher levels of proficiency. Results showed that the two groups learned the language to similar levels of proficiency but showed somewhat different ERP patterns. At low proficiency, both types of agreement violations (adjective, article) yielded N400s, but only for the group with implicit training. Additionally, noun-adjective agreement elicited a late N400 in the explicit group at low proficiency. At higher levels of proficiency, noun-adjective agreement violations elicited N400s for both the explicit and implicit groups, whereas noun-article agreement violations elicited P600s for both groups. The results suggest that interactions among linguistic structure, proficiency level, and type of training need to be considered when examining the development of aspects of inflectional morphology in L2 acquisition. [source] Differential expression of glycans in the hippocampus of rats trained on an inhibitory learning paradigmNEUROPATHOLOGY, Issue 6 2006Alejandra Hidalgo The glycan chains of glycoconjugates play important roles in cell,cell and cell,matrix interactions. In the CNS, previous studies on learning and memory suggest the importance of oligosaccharides attached to glycoconjugates in the modulation of synaptic connections. We studied the hippocampal glycan distribution of rats subject to an inhibitory avoidance task. The expression of glycans was examined by lectin-histochemistry using Vicia villosa lectin (VVL) for terminal ,/, N-acetylgalactosamine (,/, GalNAc); Galanthus nivalus lectin (GNL) for terminal mannose ,-1,3 (Man ,-1,3); Peanut agglutinin (PNA) for galactose ,-1,3N-acetylgalactosamine (Gal ,-1,3 GalNAc); Erythrina cristagalli lectin (ECL) for galactose ,-1,4 N-acetylglucosamine (Gal ,-1,4 GlcNAc); Sambucus nigra lectin (SNA) for sialic acid ,-2.6 galactose (SA ,-2,6 Gal); Maackia amurensis lectin II (MAL II) for sialic acid ,-2,3 (SA ,-2,3); Wheat germ agglutinin (WGA) for terminal N-acetylglucosamine with/without sialic acid (GlcNAc wo SA); succynilated WGA (sWGA) for terminal N-acetylglucosamine without sialic acid (terminal GlcNAc without SA); Griffonia simplicifolia lectin II (GSL II) for terminal ,/, N-acetylglucosamine (,/, GlcNAc terminal); and Lotus tetragonolobus lectin (LTL) ,,fucose. Two groups of 10 animals were examined: non-trained (Control) and Trained rats. ECL, sWGA and GSL II were negative for both groups in all the hippocampal subfields studied. For both groups, VVL was negative in CA4 and granular cells of the Dentate Gyrus (DG) and LTL was negative in the CA4 subfield. Expression of ,/, GalNAc, , -fucose and GlcNAc in other hippocampal subfields was positive, with no differences between groups. However, expression of Man ,-1,3 was significantly higher in the CA1, CA2, CA3, and CA4 subfields in the Trained group. On the other hand, expression of Gal ,-1,3 GalNAc was significantly low in CA4 and DG in the Trained group. In conclusion, the results here presented indicate that the exposure of rats to an associative behavioral paradigm related to declarative memory, involves some regulatory mechanism/s for the differential patterns of glycan expression. [source] A brainlike learning system with supervised, unsupervised, and reinforcement learningELECTRICAL ENGINEERING IN JAPAN, Issue 1 2008Takafumi Sasakawa Abstract According to Hebb's cell assembly theory, the brain has the capability of function localization. On the other hand, it is suggested that in the brain there are three different learning paradigms: supervised, unsupervised, and reinforcement learning, which are related deeply to the three parts of brain: cerebellum, cerebral cortex, and basal ganglia, respectively. Inspired by the above knowledge of the brain in this paper we present a brainlike learning system consisting of three parts: supervised learning (SL) part, unsupervised learning (UL) part, and reinforcement learning (RL) part. The SL part is a main part learning input,output mapping; the UL part is a competitive network dividing input space into subspaces and realizes the capability of function localization by controlling firing strength of neurons in the SL part based on input patterns; the RL part is a reinforcement learning scheme, which optimizes system performance by adjusting the parameters in the UL part. Numerical simulations have been carried out and the simulation results confirm the effectiveness of the proposed brainlike learning system. © 2007 Wiley Periodicals, Inc. Electr Eng Jpn, 162(1): 32,39, 2008; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/eej.20600 [source] Dorsal/ventral hippocampus, fornix, and conditioned place preferenceHIPPOCAMPUS, Issue 2 2001Janina Ferbinteanu Abstract Conditioned place preference (CPP) is a learning paradigm requiring formation of associations between reward and particular locations. White and McDonald (Behav Brain Res 1993;55:269,281) demonstrated that amygdala (AMG) lesions impair, while fornix (Fx) lesions enhance learning of this task. In the present experiments, we replicated the effects of AMG and Fx lesions, but we also found that complete hippocampal (HPC) lesions interfere with normal performance. Thus, the effects of Fx and HPC lesions on CPP are opposite. This is in contrast with spatial learning in the water maze. Because it has been demonstrated that damage of dorsal HPC interferes to a greater extent with spatial learning than damage of ventral HPC, we also tested animals with either dorsal or ventral HPC disruptions on CPP. Lesions limited to dorsal HPC were followed by impairment on this task. In contrast, lesions limited to ventral HPC resulted in enhanced learning. We argue that Fx and HPC lesions do not have interchangeable effects in all learning paradigms. To explain the complex pattern of results presently obtained, we propose a novel hypothesis regarding behavioral functions of HPC neural circuits. Implications regarding the interaction between memory systems are also considered. Hippocampus 2001;11:187,200. © 2001 Wiley-Liss, Inc. [source] | |||||||||||||