Human spatial memories are usually evaluated using computer screens instead of real arenas or landscapes where subjects could move voluntarily and use allocentric cues to guide their behavior. A possible approach to fill this gap is the adoption of virtual reality, which provides the opportunity to create spatial memory tasks closer to real-life experience. Here we present and evaluate a new software to create experiments using this technology. Specifically, we have developed a spatial memory task that is carried out in a computer-assisted virtual environment where participants walk around a virtual arena using a joystick. This spatial memory task provides an immersive environment where the spatial component is constantly present without the use of virtual reality goggles. The design is similar to that of tasks used for animal studies, allowing a direct comparison across species. We found that only participants who reported using spatial cues to guide their behavior showed significant learning and performed significantly better during a memory test. This tool allows evaluation of human spatial memory in an ecological environment and will be useful to develop a wide range of other tasks to assess spatial cognition.
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http://dx.doi.org/10.3758/s13428-021-01758-4 | DOI Listing |
Sci Rep
December 2024
Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran.
Surface electromyography (sEMG) data has been extensively utilized in deep learning algorithms for hand movement classification. This paper aims to introduce a novel method for hand gesture classification using sEMG data, addressing accuracy challenges seen in previous studies. We propose a U-Net architecture incorporating a MobileNetV2 encoder, enhanced by a novel Bidirectional Long Short-Term Memory (BiLSTM) and metaheuristic optimization for spatial feature extraction in hand gesture and motion recognition.
View Article and Find Full Text PDFPsychiatry Res
December 2024
Department of Child and Adolescent Psychiatry, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Brain Behavior Laboratory, Neuropsychiatry Section, Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA. Electronic address:
The 22q11.2 Deletion Syndrome (22q11.2DS) is a multisystem genetic disorder with prominent sleep disturbances, neuropsychiatric conditions and neurocognitive challenges.
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December 2024
School of Human Sciences, University of Western Australia, Crawley, WA, 6009, Australia.
Hearing loss (HL) in mid-life has been suggested as a risk factor for cognitive decline. It is unclear whether this relationship is due to deprivation of auditory input alone, degenerative processes, or a combination. Animal models are useful to investigate underlying neural mechanisms as human studies can be confounded by various factors.
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December 2024
Knight Foundation School of Computing and Information Sciences, Florida International University, Miami, USA.
Groundwater monitoring is a crucial part of groundwater remediation that produces data from various strategically placed wells to maintain a water quality standard. Using the United States Department of Energy's Hanford 100-HRD area well data, recurrent neural networks are trained in the form of one-dimensional Convolutional Neural Networks (CNNs), Long Short Term Memory (LSTM) networks, and Dual-stage Attention-based LSTM (DA-LSTM) networks to reduce monitoring costs and increase data sampling responsiveness that is subject to laboratory analysis delays, with the best network being DA-LSTM achieving an R score of 0.82.
View Article and Find Full Text PDFBrain Res
December 2024
Ningxia Clinical Research Institute, People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, Ningxia, PR China.
The study aimed to examine the effects of Quetiapine, an atypical antipsychotic medication with purported neuroprotective qualities, on cognitive function and synaptic plasticity in epileptic rats. This investigation also sought to elucidate the mechanisms by which quetiapine influences the activity of the cyclic adenylate response element binding protein (CREB)/brain-derived neurotrophic factor (BDNF) signaling pathway and metallomatrix proteinase-9 (MMP9) expression in the context of epilepsy. The epileptic model was induced in rats through the administration of pilocarpine, with normal rats serving as the control group.
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