The Experts below are selected from a list of 11058 Experts worldwide ranked by ideXlab platform
Mathew E Diamond - One of the best experts on this subject based on the ideXlab platform.
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a sensory integration account for time perception
PLOS Computational Biology, 2021Co-Authors: Alessandro Toso, Arash Fassihi, Luciano Paz, Francesca Pulecchi, Mathew E DiamondAbstract:The connection between stimulus perception and time perception remains unknown. The present study combines human and rat Psychophysics with sensory cortical neuronal firing to construct a computational model for the percept of elapsed time embedded within sense of touch. When subjects judged the duration of a vibration applied to the fingertip (human) or whiskers (rat), increasing stimulus intensity led to increasing perceived duration. Symmetrically, increasing vibration duration led to increasing perceived intensity. We modeled real spike trains recorded from vibrissal somatosensory cortex as input to dual leaky integrators-an intensity integrator with short time constant and a duration integrator with long time constant-generating neurometric functions that replicated the actual psychophysical functions of rats. Returning to human Psychophysics, we then confirmed specific predictions of the dual leaky integrator model. This study offers a framework, based on sensory coding and subsequent accumulation of sensory drive, to account for how a feeling of the passage of time accompanies the tactile sensory experience.
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a sensory integration account for time perception
bioRxiv, 2020Co-Authors: Alessandro Toso, Arash Fassihi, Luciano Paz, Francesca Pulecchi, Mathew E DiamondAbstract:ABSTRACT The connection between stimulus perception and time perception remains unknown. The present study combines human and rat Psychophysics with sensory cortical neuronal firing to construct a computational model for the percept of elapsed time embedded within sense of touch. When subjects judged the duration of a vibration applied to the fingertip (human) or whiskers (rat), increasing stimulus mean speed led to increasing perceived duration. Symmetrically, increasing vibration duration led to increasing perceived intensity. We modeled spike trains from vibrissal somatosensory cortex as input to dual leaky integrators – an intensity integrator with short time constant and a duration integrator with long time constant – generating neurometric functions that replicated the actual psychophysical functions of rats. Returning to human Psychophysics, we then confirmed specific predictions of the dual leaky integrator model. This study offers a framework, based on sensory coding and subsequent accumulation of sensory drive, to account for how a feeling of the passage of time accompanies the tactile sensory experience.
Arash Fassihi - One of the best experts on this subject based on the ideXlab platform.
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a sensory integration account for time perception
PLOS Computational Biology, 2021Co-Authors: Alessandro Toso, Arash Fassihi, Luciano Paz, Francesca Pulecchi, Mathew E DiamondAbstract:The connection between stimulus perception and time perception remains unknown. The present study combines human and rat Psychophysics with sensory cortical neuronal firing to construct a computational model for the percept of elapsed time embedded within sense of touch. When subjects judged the duration of a vibration applied to the fingertip (human) or whiskers (rat), increasing stimulus intensity led to increasing perceived duration. Symmetrically, increasing vibration duration led to increasing perceived intensity. We modeled real spike trains recorded from vibrissal somatosensory cortex as input to dual leaky integrators-an intensity integrator with short time constant and a duration integrator with long time constant-generating neurometric functions that replicated the actual psychophysical functions of rats. Returning to human Psychophysics, we then confirmed specific predictions of the dual leaky integrator model. This study offers a framework, based on sensory coding and subsequent accumulation of sensory drive, to account for how a feeling of the passage of time accompanies the tactile sensory experience.
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a sensory integration account for time perception
bioRxiv, 2020Co-Authors: Alessandro Toso, Arash Fassihi, Luciano Paz, Francesca Pulecchi, Mathew E DiamondAbstract:ABSTRACT The connection between stimulus perception and time perception remains unknown. The present study combines human and rat Psychophysics with sensory cortical neuronal firing to construct a computational model for the percept of elapsed time embedded within sense of touch. When subjects judged the duration of a vibration applied to the fingertip (human) or whiskers (rat), increasing stimulus mean speed led to increasing perceived duration. Symmetrically, increasing vibration duration led to increasing perceived intensity. We modeled spike trains from vibrissal somatosensory cortex as input to dual leaky integrators – an intensity integrator with short time constant and a duration integrator with long time constant – generating neurometric functions that replicated the actual psychophysical functions of rats. Returning to human Psychophysics, we then confirmed specific predictions of the dual leaky integrator model. This study offers a framework, based on sensory coding and subsequent accumulation of sensory drive, to account for how a feeling of the passage of time accompanies the tactile sensory experience.
Howard Egeth - One of the best experts on this subject based on the ideXlab platform.
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How feature integration theory integrated cognitive psychology, neurophysiology, and Psychophysics
Attention Perception & Psychophysics, 2020Co-Authors: Árni Kristjánsson, Howard EgethAbstract:Anne Treisman’s Feature Integration Theory (FIT) is a landmark in cognitive psychology and vision research. While many have discussed how Treisman’s theory has fared since it was first proposed, it is less common to approach FIT from the other side in time: to examine what experimental findings, theoretical concepts, and ideas inspired it. The theory did not enter into a theoretical vacuum. Treisman’s ideas were inspired by a large literature on a number of topics within visual Psychophysics, cognitive psychology, and visual neurophysiology. Several key ideas developed contemporaneously within these fields that inspired FIT, and the theory involved an attempt at integrating them. Our aim here was to highlight the conceptual problems, experimental findings, and theoretical positions that Treisman was responding to with her theory and that the theory was intended to explain. We review a large number of findings from the decades preceding the proposal of feature integration theory showing how the theory integrated many ideas that developed in parallel within neurophysiology, visual Psychophysics, and cognitive psychology. Our conclusion is that FIT made sense of many preceding findings, integrating them in an elegant way within a single theoretical account.
Alessandro Toso - One of the best experts on this subject based on the ideXlab platform.
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a sensory integration account for time perception
PLOS Computational Biology, 2021Co-Authors: Alessandro Toso, Arash Fassihi, Luciano Paz, Francesca Pulecchi, Mathew E DiamondAbstract:The connection between stimulus perception and time perception remains unknown. The present study combines human and rat Psychophysics with sensory cortical neuronal firing to construct a computational model for the percept of elapsed time embedded within sense of touch. When subjects judged the duration of a vibration applied to the fingertip (human) or whiskers (rat), increasing stimulus intensity led to increasing perceived duration. Symmetrically, increasing vibration duration led to increasing perceived intensity. We modeled real spike trains recorded from vibrissal somatosensory cortex as input to dual leaky integrators-an intensity integrator with short time constant and a duration integrator with long time constant-generating neurometric functions that replicated the actual psychophysical functions of rats. Returning to human Psychophysics, we then confirmed specific predictions of the dual leaky integrator model. This study offers a framework, based on sensory coding and subsequent accumulation of sensory drive, to account for how a feeling of the passage of time accompanies the tactile sensory experience.
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a sensory integration account for time perception
bioRxiv, 2020Co-Authors: Alessandro Toso, Arash Fassihi, Luciano Paz, Francesca Pulecchi, Mathew E DiamondAbstract:ABSTRACT The connection between stimulus perception and time perception remains unknown. The present study combines human and rat Psychophysics with sensory cortical neuronal firing to construct a computational model for the percept of elapsed time embedded within sense of touch. When subjects judged the duration of a vibration applied to the fingertip (human) or whiskers (rat), increasing stimulus mean speed led to increasing perceived duration. Symmetrically, increasing vibration duration led to increasing perceived intensity. We modeled spike trains from vibrissal somatosensory cortex as input to dual leaky integrators – an intensity integrator with short time constant and a duration integrator with long time constant – generating neurometric functions that replicated the actual psychophysical functions of rats. Returning to human Psychophysics, we then confirmed specific predictions of the dual leaky integrator model. This study offers a framework, based on sensory coding and subsequent accumulation of sensory drive, to account for how a feeling of the passage of time accompanies the tactile sensory experience.
Taiki Takahashi - One of the best experts on this subject based on the ideXlab platform.
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Psychophysics of the probability weighting function
Physica A-statistical Mechanics and Its Applications, 2011Co-Authors: Taiki TakahashiAbstract:A probability weighting function w(p) for an objective probability p in decision under risk plays a pivotal role in Kahneman–Tversky prospect theory. Although recent studies in econophysics and neuroeconomics widely utilized probability weighting functions, psychophysical foundations of the probability weighting functions have been unknown. Notably, a behavioral economist Prelec (1998) [4] axiomatically derived the probability weighting function w(p)=exp(−(−lnp)α) (0<α<1 and w(0)=1,w(1e)=1e,w(1)=1), which has extensively been studied in behavioral neuroeconomics. The present study utilizes psychophysical theory to derive Prelec’s probability weighting function from psychophysical laws of perceived waiting time in probabilistic choices. Also, the relations between the parameters in the probability weighting function and the probability discounting function in behavioral psychology are derived. Future directions in the application of the psychophysical theory of the probability weighting function in econophysics and neuroeconomics are discussed.
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Psychophysics of the probability weighting function
Physica A-statistical Mechanics and Its Applications, 2011Co-Authors: Taiki TakahashiAbstract:A probability weighting function w(p) for an objective probability p in decision under risk plays a pivotal role in Kahneman–Tversky prospect theory. Although recent studies in econophysics and neuroeconomics widely utilized probability weighting functions, psychophysical foundations of the probability weighting functions have been unknown. Notably, a behavioral economist Prelec (1998) [4] axiomatically derived the probability weighting function w(p)=exp(−(−lnp)α) (0
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Psychophysics of time perception and intertemporal choice models
Physica A: Statistical Mechanics and its Applications, 2008Co-Authors: Taiki Takahashi, Hidemi Oono, Mark H.b. RadfordAbstract:Intertemporal choice and Psychophysics of time perception have been attracting attention in econophysics and neuroeconomics. Several models have been proposed for intertemporal choice: exponential discounting, general hyperbolic discounting (exponential discounting with logarithmic time perception of the Weber–Fechner law, a q-exponential discount model based on Tsallis’s statistics), simple hyperbolic discounting, and Stevens’ power law–exponential discounting (exponential discounting with Stevens’ power time perception). In order to examine the fitness of the models for behavioral data, we estimated the parameters and AICc (Akaike Information Criterion with small sample correction) of the intertemporal choice models by assessing the points of subjective equality (indifference points) at seven delays. Our results have shown that the orders of the goodness-of-fit for both group and individual data were [Weber–Fechner discounting (general hyperbola) > Stevens’ power law discounting > Simple hyperbolic discounting > Exponential discounting], indicating that human time perception in intertemporal choice may follow the Weber–Fechner law. Indications of the results for neuropsychopharmacological treatments of addiction and biophysical processing underlying temporal discounting and time perception are discussed
