209,596 research outputs found
Attention-like processes in classical conditioning
Conditioned emotional response studies using rats already trained to press bar for food suppl
Olfactory Conditioning of Positive Performance in Humans
Olfactory conditioning effects have been widely demonstrated in the animal literature but more seldom in human populations and rarely of consciously controlled human behaviors. Building upon previous work on negative performance, we report the first experimental evidence that odors can be used effectively in a classical conditioning paradigm to positively influence human behavior. In the present study, underachieving schoolchildren experienced unexpected success at a paper-and-pencil task in the presence of an ambient odor. When they later experienced the same odor again, performance on other tasks was superior to that of relevant control groups. These data substantially extend previous results on human olfactory classical conditioning and show that odors potentially can be used to exert positive influences on human behavior
A homolog of the vertebrate pituitary adenylate cyclase-activating polypeptide is both necessary and instructive for the rapid formation of associative memory in an invertebrate
Similar to other invertebrate and vertebrate animals, cAMP dependent signaling cascades are key components of long-term memory (LTM) formation in the snail Lymnaea stagnalis, an established experimental model for studying evolutionarily conserved molecular mechanisms of long-term associative memory. Although a great deal is already known about the signaling cascades activated by cAMP, the molecules involved in the learning-induced activation of adenylate cyclase (AC) in Lymnaea remained unknown. Using Matrix-Assisted Laser Desorption/Ionization Time-of-flight (MALDI-TOF) mass spectroscopy in combination with biochemical and immunohistochemical methods, recently we have obtained evidence for the existence of a Lymnaea homologue of the vertebrate pituitary adenylate cyclase activating polypeptide (PACAP) and for the AC activating effect of PACAP in the Lymnaea nervous system. Here we first tested the hypothesis that PACAP plays an important role in the formation of robust LTM after single-trial classical food-reward conditioning. Application of the PACAP receptor antagonist PACAP6-38 around the time of single-trial training with amyl acetate and sucrose blocked associative LTM, suggesting that in this strong food-reward conditioning paradigm the activation of AC by PACAP was necessary for LTM to form. We found that in a weak multi-trial food-reward conditioning paradigm, lip-touch paired with sucrose, memory formation was also dependent on PACAP. Significantly, systemic application of PACAP at the beginning of multi-trial tactile conditioning accelerated the formation of transcription dependent memory.Our findings provide the first evidence to show that in the same nervous system PACAP is both necessary and instructive for fast and robust memory formation after reward classical conditioning
Maximum Principle for General Controlled Systems Driven by Fractional Brownian Motions
We obtain a maximum principle for stochastic control problem of general
controlled stochastic differential systems driven by fractional Brownian
motions (of Hurst parameter ). This maximum principle specifies a system
of equations that the optimal control must satisfy (necessary condition for the
optimal control). This system of equations consists of a backward stochastic
differential equation driven by both fractional Brownian motion and the
corresponding underlying standard Brownian motion. In addition to this backward
equation, the maximum principle also involves the Malliavin derivatives. Our
approach is to use conditioning and Malliavin calculus. To arrive at our
maximum principle we need to develop some new results of stochastic analysis of
the controlled systems driven by fractional Brownian motions via fractional
calculus. Our approach of conditioning and Malliavin calculus is also applied
to classical system driven by standard Brownian motion while the controller has
only partial information. As a straightforward consequence, the classical
maximum principle is also deduced in this more natural and simpler way.Comment: 44 page
Computational Models of Classical Conditioning: A Qualitative Evaluation and Comparison
Classical conditioning is a fundamental paradigm in the study of learning and thus in understanding cognitive processes and behaviour, for which we need comprehensive and accurate models. This paper aims at evaluating and comparing a collection of influential computational models of classical conditioning by analysing the models themselves and against one another qualitatively. The results will clarify the state of the art in the area and help develop a standard model of classical conditioning
Classical conditioning and implicit cognition
Experimental data, behavioral and psychobiological, reviewed in this paper show that human classical conditioning has an evolutionary purpose, it is developed by means of a cognitive processing different from the conscious processing, and sustained by different cerebral structures. These structures usually do not work isolated. For that reason, combination of both forms of processing, explicit/implicit, is the general pattern in natural conditions. In fact, due to the hierarchical organization of the nervous system, usually it exists a top-down control process (cortical-subcortical) but, under special conditions of laboratory, can be behaviorally evident, for example by means of the fear conditioning, close relationship between implicit processing and Pavlovian conditioning in humans.En su conjunto, las evidencias experimentales conductuales y psicobiológicas revisadas en este artículo muestran que el condicionamiento clásico humano tiene una justificación evolutiva, se desarrolla mediante un procesamiento cognitivo diferente del procesamiento consciente y se sustenta en estructuras cerebrales diferentes. Dichas estructuras no suelen funcionar desligadas y por ello la combinación de ambas formas de procesamiento, explícito e implícito, es el patrón general en condiciones naturales. De hecho, debido a la organización jerárquica del sistema nervioso, suele existir un proceso de control de arriba hacia abajo (cortical-subcortical) pero, bajo condiciones especiales de laboratorio, puede hacerse evidente en la conducta, por ejemplo, mediante los paradigmas de miedo condicionado, la estrecha relación entre procesamiento implícito y el condicionamiento clásico en nuestra especie
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