Cognitive Feature Extraction of Puns Code-Switching Based on Neural Network Optimization Algorithm by Jing Zhang, Qiaoyun Liao, Lipei Li

“…It is generally believed that the human brain’s thinking is divided into three basic ways: abstract (logical) thinking, image (intuitive) thinking, and inspiration (awareness) thinking. …”
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A systematic review of neurological symptoms and brain abnormalities in SARS-CoV-2 infections by Daniel Montoya, Jacobo Albert, Sarah Lopez-Martin

“… The aim of this systematic review is to show some clear evidence of COVID-19 infections in the human brain and draw attention to the neurological symptoms that were described during the early stages of the pandemic. …”
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Three-Dimensional Organoid System Transplantation Technologies in Future Treatment of Central Nervous System Diseases by NaiLi Wei, ZiFang Quan, Hailiang Tang, JianHong Zhu

“…In recent years, scientists have made great achievements in understanding the development of human brain and elucidating critical elements of stepwise spatiotemporal control strategies in neural stem cell specification lineage, which facilitates successful induction of neural organoid in vitro including the cerebral cortex, cerebellar, neural tube, hippocampus cortex, pituitary, and optic cup. …”
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A Three‐Terminal Memristive Artificial Neuron with Tunable Firing Probability by Mila Lewerenz, Elias Passerini, Luca Weber, Markus Fischer, Nadia Jimenez Olalla, Raphael Gisler, Alexandros Emboras, Mathieu Luisier, Miklos Csontos, Ueli Koch, Juerg Leuthold

“…Abstract The human brain facilitates information processing via generating and receiving temporal patterns of short voltage pulses, a.k.a. neural spikes. …”
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Gliadin encapsulated PCOs nanoformulation: An effective therapeutic option for metastatic breast cancer by Sant Lal, Monika Kataria, Neeraj Dilbaghi

“…The anticancer efficacy of PCOs–NF was evaluated against MCF-7 (human breast cancer), L-132 (human lung cancer), and HBL-52 (human brain meningioma) cell lines using the MTT assay. …”
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Early life stress and functional connectivity in antipsychotic-naïve first episode psychosis patients by Hillary N. Patton, Jose O. Maximo, James E. Bryant, Adrienne C. Lahti

“…The results also provide support for the long-term differential impact of trauma subtypes on the human brain. Overall, the results contribute to the understanding of the neural mechanisms underlying the association between childhood trauma and psychosis spectrum disorders.…”
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The Human Microglia Atlas (HuMicA) unravels changes in disease-associated microglia subsets across neurodegenerative conditions by Ricardo Martins-Ferreira, Josep Calafell-Segura, Bárbara Leal, Javier Rodríguez-Ubreva, Elena Martínez-Saez, Elisabetta Mereu, Paulo Pinho E Costa, Ariadna Laguna, Esteban Ballestar

“…We constructed an atlas of human brain immune cells by integrating nineteen single-nucleus RNA-seq and single-cell RNA-seq datasets from multiple neurodegenerative conditions, comprising 241 samples from patients with Alzheimer’s disease, autism spectrum disorder, epilepsy, multiple sclerosis, Lewy body diseases, COVID-19, and healthy controls. …”
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Diffusion Tensor Imaging-Based Research on Human White Matter Anatomy by Ming-guo Qiu, Jing-na Zhang, Ye Zhang, Qi-yu Li, Bing Xie, Jian Wang

“…DTI is a reliable method of studying the fiber connectivity in human brain, but it is difficult to identify the tiny fibers. …”
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Age-related cerebral ventriculomegaly occurs in patients with primary ciliary dyskinesia by Franziska Eisenhuth, Joy E. Agbonze, Adam M. R. Groh, Jesse M. Klostranec, David A. Rudko, Jo Anne Stratton, Adam J. Shapiro

“…We demonstrated highly specific expression levels of known PCD-related genes in human brain multiciliated ependymal cells (p < 0.0001). …”
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Application of Motor Imagery Brain-Computer Interface in Rehabilitation of Neurological Diseases by YANG Banghua

“…Brain-computer interface (BCI) technology is an innovative human-computer interaction technology that does not rely on the peripheral nerve transmission pathway and muscle tissues, and establishes the connection between the human brain and the external machine. BCI system includes three categories: active, reactive and passive, with the motor imagery brain-computer interface (MI-BCI) is the most common active BCI system. …”
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Construction of functional tissue-engineered microvasculatures using circulating fibrocytes as mural cells by Xiaolin Wang, Hong Tan, Harsha P Gunawardena, Jin Cao, Lu Dang, Hongbing Deng, Xueyong Li, Hongjun Wang, Jinqing Li, Caibin Cui, David A Gerber

“…Interestingly, the behaviour of CFs also differs from that of human brain vascular pericytes (HBVPs) in vitro , which often infiltrate the lumen of capillary-like structures in a mosaic pattern, actively proliferate and exhibit lower endocytosis and migration capacities. …”
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O IMPERATIVO EMOCIONAL SOB A HIPÓTESE DOS MARCADORES SOMÁTICOS E SUA RAMIFICAÇÃO SOMÁTICO-BIOLÓGICA NA REGULAÇÃO DA TOMADA DE DECISÃO NO ERRO DE DESCARTES by Matheus dos Reis Gomes

“… Neste artigo, buscamos descrever o papel crucial da hipótese dos marcadores somáticos (HMS) na interação entre o que denominamos de ‘imperativo emocional’ e a ingerência da razão durante o processo de tomada de decisão na obra Descartes’ Error: Emotion, Reason, and the Human Brain, de António Damásio. Primeiramente, examinamos a interação entre raciocínio, emoções e ação humana, com ênfase nos processos cognitivos subjacentes à tomada de decisão. …”
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Brain plasticity associated with prolonged shooting training: a multimodal neuroimaging investigation from a cross-sectional study by Keying Zhang, Tao Zhao, Yu Ding, Jia Cheng, Chunmei Cao

“…BackgroundAlthough training has been recognized as a potential contributor to neuroplasticity in athletes, the impact of prolonged shooting training on human brain plasticity remains unclear in the existing literature.MethodsIn this cross-sectional study, we used a multimodal neuroimaging analysis, including the analysis of functional blood oxygenation level-dependent (BOLD) magnetic resonance imaging (MRI) images, structural T1-weighted MRI images, and diffusion MRI images, to systematically identify differences between elite shooters and normal controls.ResultsThe results showed that compared to male normal controls, male elite shooters had higher regional homogeneity (ReHo) in the frontal lobe, parietal lobe, precuneus, thalamus, and cingulate gyrus, as well as higher functional connectivity between the medial frontal cortex (MedFC) and temporooccipital middle temporal gyrus (toMTG). …”
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Free-space optical spiking neural network. by Reyhane Ahmadi, Amirreza Ahmadnejad, Somayyeh Koohi

“…Among the various Optical Neural Networks (ONNs) explored within the realm of optical neuromorphic engineering, Spiking Neural Networks (SNNs) have exhibited notable success in emulating the computational principles of the human brain. The event-based spiking nature of optical SNNs offers capabilities in low-power operation, speed, temporal processing, analog computing, and hardware efficiency that are difficult or impossible to match with other ONN types. …”
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Clinical evaluation and management of a 45-year-old man with confusion, psychosis, agitation, stereotyped behavior, and impaired speech by Xiaolin Deng, Paulo J. Negro, Patrick L. Jung, Christopher M. Marano, Stephanie Knight, Seshagiri R. Doddi, Nana Y. A. Nimo, Rachel M. LeMalefant, Drew A. Myers, Andrea K. Haake, Rebecca Chandler

“…Moreover, the fluctuation of the patient’s neuropsychiatric symptoms we observed during his hospitalization reflects the increased vulnerability of the human brain under sustained neurodegeneration.…”
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Effect of age and sex differences on the abundances of neuronal, glial, and endothelial cells in non-diseased brain tissue. by Arttu Autio-Kimura, Tapio Nevalainen, Mikko Hurme

“…Advances in sequencing technology have enabled large-scale transcriptomic studies, such as the Genotype-Tissue Expression (GTEx) project, providing valuable resources for investigating the cellular landscape of the human brain. In this analysis, we used brain sample data from the GTEx project, comprising 1646 samples with an age range of 20-70 years. …”
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Transcutaneous Electrical Acupoint Stimulation in Early Life Changes Synaptic Plasticity and Improves Symptoms in a Valproic Acid-Induced Rat Model of Autism by Xiaoxi Wang, Rui Ding, Yayue Song, Juan Wang, Chen Zhang, Songping Han, Jisheng Han, Rong Zhang

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Research on the robustness of convolutional neural networks in image recognition by Dian LIN, Li PAN, Ping YI

“…Convolutional neural network is one of the key technologies in the application of image recognition and processing in artificial intelligence.Its wide application makes researches on its robustness more and more important.Previous researches on robustness of neural networks were too sweeping and most of them focused on adversarial robustness, which causes difficulty in further study in the mechanism of neural network robustness.The related researches of neuroscience were introduced and the concept of visual robustness was put forward.By studying the similarity and difference between neural network models and human visual system, the internal mechanism and faults of neural network robustness were revealed.The researches of neural network robustness in recent years were reviewed, and the reasons for the lack of robustness of neural network models were analyzed.The lack of robustness of neural networks is reflected in their sensitivity to small perturbations.The reason is that neural networks tend to learn high-frequency information for calculation and inference, which is difficult for humans to recognize.High-frequency information is easily affected by perturbations, and eventually causes mistakes of models.Previous researches on robustness mostly focused on mathematical properties of models, and were limited in the natural faults of neural networks.Visual robustness extends the traditional concept of robustness.The traditional concept of robustness measures the discrimination ability of models for distorted image examples.Distorted examples and clean examples can get correct outputs through robust models.Visual robustness measures the consistency between models and humans in discrimination ability.Visual robustness combines the research methods and achievements of neuroscience and psychology with artificial intelligence.The development of neuroscience in the field of vision were reviewed, and the application of research methods of cognitive psychology in neural network robustness were discussed.Human visual system has advantages in learning and abstract ability, whill neural network models have better performance in calculation speed and memory.The difference between the physiological structure of human brain and the logical structure of neural network models is the key factor leading to the problem of robustness of neural networks.The research of visual robustness requires deeper understanding of human visual system.Revealing the differences in cognitive mechanism between human visual system and neural network models and effectively improving the algorithm are the development trends of neural network robustness and even artificial intelligence.…”
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A composite improved attention convolutional network for motor imagery EEG classification by Wenzhe Liao, Zipeng Miao, Shuaibo Liang, Linyan Zhang, Chen Li

“…IntroductionA brain-computer interface (BCI) is an emerging technology that aims to establish a direct communication pathway between the human brain and external devices. Motor imagery electroencephalography (MI-EEG) signals are analyzed to infer users’ intentions during motor imagery. …”
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Modeling the Effect of Cannabinoid Exposure During Human Neurodevelopment Using Bidimensional and Tridimensional Cultures by Enrique Estudillo, Jorge Iván Castillo-Arellano, Emilio Martínez, Edgar Rangel-López, Adolfo López-Ornelas, Roxana Magaña-Maldonado, Laura Adalid-Peralta, Iván Velasco, Itzel Escobedo-Ávila

“…Here, we review the information to date on the clinical studies about the impact of exogenous cannabinoid consumption on human brain development and how exogenous cannabinoids alter nervous system development in humans using cultured pluripotent stem cells as 2D and 3D platforms to recapitulate brain development.…”
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