Results 51 to 60 of about 260,048 (97)
Kurt Lewin, psychological constructs and sources of brain cognitive activity [PDF]
arXiv, 2017 Understanding mind-brain-environment relations is one of the key topics in psychology. Kurt Lewin, inspired by theoretical physics, tried to establish topological and vector psychology analyzing patterns of interaction between the individual and her/his environment.
arxiv
Adapting Deep Network Features to Capture Psychological Representations [PDF]
arXiv, 2016 Deep neural networks have become increasingly successful at solving classic perception problems such as object recognition, semantic segmentation, and scene understanding, often reaching or surpassing human-level accuracy. This success is due in part to the ability of DNNs to learn useful representations of high-dimensional inputs, a problem that ...
arxiv
Neural Population Dynamics and Cognitive Function
Frontiers in Human Neuroscience, 2020 Representations in the brain are encoded as patterns of activity of large populations of neurons. The science of population encoded representations, also known as parallel distributed processing (PDP), achieves neurological verisimilitude and has been ...
Stephen E. Nadeau
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The Journal of the Institute of Television Engineers of Japan, 1996 The induction field model in vision can uniformly explain some experimental psychological results of a pattern recognition process. Many research activities make efforts to explain various psychological experiments of pattern recognition. However, there is no mathematical model that can uniformly explain these experiments.
openaire +2 more sources
EBioMedicine, 2018 Background: In the past decades, substantial effort has been made to explore the genetic influence on brain structural/functional abnormalities in schizophrenia, as well as cognitive impairments.
Na Luo +34 more
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NeuroImage: Clinical, 2021 Previous brain structural magnetic resonance imaging studies reported that patients with schizophrenia have brain structural abnormalities, which have been used to discriminate schizophrenia patients from normal controls.
Ke Hu +21 more
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Identifying individual facial expressions by deconstructing a neural network [PDF]
arXiv, 2016 This paper focuses on the problem of explaining predictions of psychological attributes such as attractiveness, happiness, confidence and intelligence from face photographs using deep neural networks. Since psychological attribute datasets typically suffer from small sample sizes, we apply transfer learning with two base models to avoid overfitting ...
arxiv
Evaluating (and improving) the correspondence between deep neural networks and human representations [PDF]
arXiv, 2017 Decades of psychological research have been aimed at modeling how people learn features and categories. The empirical validation of these theories is often based on artificial stimuli with simple representations. Recently, deep neural networks have reached or surpassed human accuracy on tasks such as identifying objects in natural images.
arxiv
Author Correction: A large dataset of semantic ratings and its computational extension
Scientific Data, 2023 Shaonan Wang +6 more
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Landscape preferences evaluation: Planning of neighborhood parks in Tehran with community-oriented approach [PDF]
علوم محیطی, 2018 Introduction: Development of a Green Infrastructure and providing per capita and guarantee standards for open spaces in metropolitan areas, must always be foreseen by government in the vision agenda for national development.
Amir Semiari +3 more
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