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14 results for “Working-Memory”
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Research ArticleOpen accessEvery word in the titleChange Detection Performance in Naturalistic Scenes: The Influence of Visual Working Memory for Identity and Spatial LocationsBonnie L. Angelone, Melissa R. BeckThe present studies examined the roles of identity and spatial working memory in change detection. Observers completed a spatial or identity working memory task concurrently with a change detection task. In the change detection task, participants were presented naturalistic scenes that contained either a color or location change to one object. Concurrently, participants remembered either the colors or locations of … …Current Research in Psychology, Vol. 3, Issue 2 · 5 Jul 2013 · 10,601 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleGinger Supplementation Enhances Working Memory of the Post-Menopause WomenNaritsara Saenghong, Jintanaporn Wattanathorn, Terdthai Tong-Un et al.Problem statement: Cognitive impairment is one important problem in post-menopausal women. Although hormone therapy can improve this condition, it also produces adverse effect. Recent findings showed that this condition could be mitigated by the herb. Ginger or Zingiber officinale Roscoe, a plant in a family of Zingiberaceae, was previously demonstrated the neuroprotection and cognitive enhancing effects. Therefore, this study was … …American Journal of Applied Sciences, Vol. 8, Issue 12 · 10 Oct 2011 · 10,065 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleWorking Memory Learning Method and Astrocytes Number in Different Subfields of Rat's HippocampusJahanshahi Mehrdad, Sadeghi Yousef, Hosseini Ahmad et al.The aim of this study was evaluation of the astrocytes number in different subfields of rat's Hippocampus after spatial learning with usage of Morris Water Maze technique and working memory method. In this study, between 2005-2006 years in Pasteur institute of Iran-Tehran and histological department of Gorgan University with usage of Morris Water Maze and working memory technique, we used … …American Journal of Animal and Veterinary Sciences, Vol. 3, Issue 1 · 31 Mar 2008 · 6,980 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEVENT-RELATED POTENTIALS EXTRACTION OF WORKING MEMORY USING WAVELET ALGORITHMSitiZubaidahMohd Tumari, Rubita Sudirman, Abdul Hamid AhmadThis study was designed to classify and determine the Event-Related Potentials (ERPs) signal pattern of normal children on visual response. Thirty-eight children aged between 10 to 12 years old were subjected to a two-phase computer-based assessment while their working memory activity was recorded using a Neurofax-EEG 9200 machine. For children, it is anticipated that some information can be lost when … …Journal of Computer Science, Vol. 10, Issue 2 · 13 Nov 2013 · 6,801 accessesView PDFCite
Research ArticleOpen accessIn the keywordsGender Differences in Cognitive AbilitesAhmed A. Teleb, Aida A. Al AwamlehThe purpose of this study was to examine whether gender differences in Visual Selective Attention, Working Memory, Anticipation Time, Auditory Reaction Time and Visual-Motor Coordination performance existed. Forty eight students at Assiut university (21 males and 27 females; between 19.0 and 23.58 years old) participated in this study. Results indicated that there was no statistically significant difference between males and … …Current Research in Psychology, Vol. 3, Issue 1 · 28 Dec 2012 · 9,244 accessesView PDFCite
Research ArticleOpen accessIn the keywordsBiomedicine and Informatics Model of Alzheimer's DiseaseKang Cheng, Chang-Hua ZouIn a perspective of biomedicine and informatics, the mechanism of Alzheimer's, senile amnesia, or other aging-associated and cognitive impairment related diseases involve four important informative processing procedures: propagation, consolidation, retrieval and cognition, In this study, we systematically model the four procedures based on published experimental data. When modeling the propagation, we develop an equivalent circuit of biological membrane to describe … …American Journal of Biochemistry and Biotechnology, Vol. 3, Issue 3 · 28 May 2007 · 6,824 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Study of the Production Rules for Context Inference of Wetland Water Quality on Ubiquitous Sensor Network Middleware FrameworkSo-Young Im, Ryum-Duck OhProblem statement: With gradually increasing movement to live together with nature, artificial wetlands are increasing as well. And the wind of change blows at the rivers and streams, thereby increasing the need for management systems. Conclusion/Recommendations: Accordingly, this study aims to design production rules for wetland environment context inference and establish application system by using JESS and the rule-based system … …Journal of Computer Science, Vol. 8, Issue 3 · 13 Jan 2012 · 6,851 accessesView PDFCite
Research ArticleOpen accessIn the keywordsFunctional Neuroimaging in Dementia and other Amnesic Disorders: A Radiological ReviewLeonardo Caixeta, Renata Teles Vieira, Sergio Machado et al.Problem statement: The structural and functional neuroimaging have much to contribute to the cognitive neuroscience. Approach: We describe a radiological review of the major dementia syndromes and Mild Cognitive Impairment (MCI), included Alzheimer's disease, Lewy body dementia, Vascular dementia, Front temporal Lobar degeneration, Dementia associated with parkinsonism and other amnesic syndromes. Results: The different syndromes and diseases presenting with dementia … …Neuroscience International, Vol. 2, Issue 1 · 23 Nov 2011 · 7,495 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeep Learning Perspective on Assessing and Elevating Engineering Student’s PerformanceKandula Neha, Ram KumarIn addressing the need for successful frameworks to break down understudy execution, this study presents a profound learning-based approach for thorough understudy execution examination inside instructive establishments. The framework intends to evaluate understudies' presentation levels and distinguish those qualified for positions, needing extra help, or in danger of exiting. Utilizing a Long Momentary Memory (LSTM) model, a sort of intermittent … …Journal of Computer Science, Vol. 20, Issue 11 · 21 Sep 2024 · 4,495 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Evaluation of Deep Learning Networks on Printed Odia CharactersSanjibani Sudha Pattanayak, Sateesh Kumar Pradhan, Ramesh Chandra MalikDeep machine learning includes a series of layers to mimic the working of the human brain for taking a decision. Deep learning networks have shown good results in character recognition in the past. This paper evaluates the performance of different deep learning networks like Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM) based recurrent neural network and Convolutional LSTM on … …Journal of Computer Science, Vol. 16, Issue 7 · 25 Jul 2020 · 6,785 accessesView PDFCite