Article
Multidisciplinary Sciences
Kaiyu Wang, Fei Wang, Nora Forknall, Tansy Yang, Christopher Patrick, Ruchi Parekh, Barry J. Dickson
Summary: The study found that in female Drosophila melanogaster, mating decisions are controlled by a pair of female-specific descending neurons. These neurons receive excitatory input from auditory neurons tuned to specific features of the D. melanogaster song, as well as from pC1 neurons encoding the mating status of the female. After mating, the neural responses are attenuated, leading to reduced receptivity in mated females.
Article
Allergy
Jing Feng, Bo Duan
Summary: Chronic itch, associated with various skin disorders and systemic diseases, is difficult to treat and has a significant impact on quality of life. Understanding the mechanisms of itch sensitization is crucial for developing effective therapeutic strategies.
JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY
(2023)
Article
Computer Science, Artificial Intelligence
Alireza Pourdaryaei, Mohammad Mohammadi, Hamza Mubarak, Abdallah Abdellatif, Mazaher Karimi, Elena Gryazina, Vladimir Terzija
Summary: This study proposes a method for electricity price forecasting using multi-head self-attention and Convolutional Neural Networks (CNN), and also develops a feature selection technique using mutual information and neural networks. The simulation results demonstrate the efficiency of the proposed method and its potential to aid effective energy management and decision-making in the electricity industry.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Review
Neurosciences
Xiaodan Huang, Qian Tao, Chaoran Ren
Summary: Light is an important environmental factor that affects various brain functions. Clinical evidence supports the beneficial effects of light therapy on diseases such as depression, cognitive dysfunction, chronic pain, and sleep disorders. However, the underlying mechanisms of light therapy are still not well understood. This review critically evaluates the current clinical evidence and introduces research progress on the neural circuit mechanisms of light's modulatory effects on brain functions including mood, memory, pain perception, sleep, circadian rhythm, brain development, and metabolism.
NEUROSCIENCE BULLETIN
(2023)
Article
Computer Science, Artificial Intelligence
Junkai Ji, Cheng Tang, Jiajun Zhao, Zheng Tang, Yuki Todo
Summary: This paper reviews the related studies on the dendritic neuron model (DNM), a newly emerging non-spiking and biologically inspired model. The DNM mimics the biological phenomena of neurons, incorporating a neural pruning scheme to simplify its architecture and form unique neuron morphology for specific tasks. Additionally, the simplified structure can be transformed into logic circuits, enabling high-speed data processing.
Article
Multidisciplinary Sciences
Naoki Hiratani, Peter E. Latham
Summary: This study investigates the relationship between neural circuit structure and learning efficiency by analyzing the olfactory system. The results suggest that optimal neural architecture is influenced by the species' longevity and the genetic specification of the olfactory circuit.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Review
Biochemistry & Molecular Biology
Yuri Y. Shevelyov, Sergey Ulianov, Mikhail S. Gelfand, Stepan N. Belyakin, Sergey Razin
Summary: Dosage compensation ensures equal gene expression between a single male X chromosome and the pairs of autosomes and female X chromosomes. In fruit flies, canonical dosage compensation is achieved through the action of the male-specific lethal (MSL) complex in all male somatic cells. This complex contains the acetyl transferase males absent on the first (MOF), which specifically hyperacetylates H4K16 on the male X chromosome, promoting transcription of X-linked genes. Additionally, there is growing evidence for the existence of non-canonical dosage compensation mechanisms in somatic and germline cells.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Review
Integrative & Complementary Medicine
Zichen Zhang, Liuyi Chen, Yi Guo, Dan Li, Jingyu Zhang, Ling Liu, Wen Fan, Tao Guo, Siru Qin, Yadan Zhao, Zhifang Xu, Zelin Chen
Summary: Cognitive impairment, a prevalent neurological disorder, is burdensome for families and healthcare system. Conventional therapies have limitations and potential side effects. Acupoint stimulation shows potential in ameliorating symptoms of cognitive disorders and protecting neurons. The mechanisms involve various aspects such as hippocampus protection, antioxidation, anti-inflammation, neural regeneration, synaptic plasticity, and restoration of brain functional activity.
Article
Computer Science, Hardware & Architecture
Bingyin Zhao, Ling Qiu, Yingjie Lao
Summary: This article presents a data-driven feature selection framework for approximate circuit design, applicable to both voltage over-scaling (VOS) and approximate logic design (ALD). Novel algorithms are proposed to analyze the correlation between input data and output errors and select critical features for generating compensation circuits. Extensive evaluations show that the proposed approach achieves superior compensation performance with minimal area overhead.
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS
(2023)
Review
Neurosciences
Zuqi Shen, Wei Li, Weiqi Chang, Na Yue, Jin Yu
Summary: Mental disorders induced by chronic pain, such as anxiety and depression, are common in clinical practice, and there are significant sex differences in their epidemiology. However, the circuit mechanism of this difference has not been fully studied. Recently, studies including male and female rodents have revealed sex differences in the neurobiological processes behind mental disorder features.
FRONTIERS IN MOLECULAR NEUROSCIENCE
(2023)
Article
Computer Science, Artificial Intelligence
De Li, Jinyan Wang, Qiyu Li, Yuhang Hu, Xianxian Li
Summary: This study introduces a feedforward-designed convolutional neural network (FF-CNN) and addresses the privacy issues associated with it. To tackle these issues, a securely forward-designed convolutional neural network algorithm (SFF-CNN) is proposed and theoretically proven and experimentally demonstrated to offer strong privacy protection. The results show that the proposed algorithm outperforms existing deep learning privacy-preserving algorithms in terms of utility and robustness.
Article
Business
Javier Cenamor
Summary: Platform ecosystems present significant business opportunities in complementary product markets, with competition becoming increasingly intense and fast-changing. While previous research has focused on the drivers of platform adoption by end users, recent studies have highlighted the strategic decisions of complementors and their competitive advantages. However, current insights into complementors offer only a limited explanation of their competitive advantages.
JOURNAL OF BUSINESS RESEARCH
(2021)
Review
Psychiatry
Shanshan Lin, Yiwei Du, Yujie Xia, Yumeng Xie, Ling Xiao, Gaohua Wang
Summary: Optogenetics is increasingly recognized as a novel technique for studying the neural circuit mechanisms underlying depression. Through systematic review of literature, researchers have demonstrated the potential of optogenetics in exploring neural circuits and investigating antidepressant treatment mechanisms. The rapid development of this technique suggests it may provide valuable insights into the etiology of depression and other psychiatric disorders in the future.
FRONTIERS IN PSYCHIATRY
(2022)
Article
Engineering, Electrical & Electronic
Morteza Fayazi, Morteza Tavakoli Taba, Ehsan Afshari, Ronald Dreslinski
Summary: Machine learning has shown promise in predicting analog circuit behavior, but supervised learning requires a large amount of labeled samples and separate datasets for each circuit topology. This paper presents a database with both labeled and unlabeled data, using neural networks to determine complex circuit behavior by combining simpler ones. By generating unlabeled data, the training set can be provided much faster. The paper also proposes a fully-automated analog circuit generator framework called AnGeL, achieving equivalent accuracy with reduced labeled data and faster runtime compared to state-of-the-art works.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
(2023)
Review
Neurosciences
Haicheng Lu, Peng Cao
Summary: Breathing is essential for life, but chronic airway diseases like asthma and chronic obstructive pulmonary disease can have severe impacts on millions of people. The immune system and nervous system play important roles in protecting and monitoring the respiratory tract, but abnormalities in these systems can lead to autoimmune airway disorders. Ion channels and Na+ channels are crucial in sensing harmful stimuli and generating neurogenic inflammation and airway hypersensitivity. Understanding the neural circuitry involved in airway protection could help develop precise therapeutic strategies for airway diseases.
NEUROSCIENCE BULLETIN
(2023)
Article
Neurosciences
Melville J. Wohlgemuth, Ninad B. Kothari, Cynthia F. Moss
JOURNAL OF NEUROSCIENCE
(2018)
Article
Neurosciences
Fredrick E. Henry, William Hockeimer, Alex Chen, Shreesh P. Mysore, Michael A. Sutton
Article
Biology
Ninad B. Kothari, Melville J. Wohlgemuth, Cynthia F. Moss
JOURNAL OF EXPERIMENTAL BIOLOGY
(2018)
Article
Biology
Ninad B. Kothari, Melville J. Wohlgemuth, Cynthia F. Moss
Article
Cell Biology
Nagaraj R. Mahajan, Shreesh P. Mysore
Article
Behavioral Sciences
Juliana Popovitz, Shreesh P. Mysore, Hita Adwanikar
FRONTIERS IN BEHAVIORAL NEUROSCIENCE
(2019)
Article
Neurosciences
Huong T. T. Ha, Sergio Leal-Ortiz, Kriti Lalwani, Shigeki Kiyonaka, Itaru Hamachi, Shreesh P. Mysore, Johanna M. Montgomery, Craig C. Garner, John R. Huguenard, Sally A. Kim
FRONTIERS IN MOLECULAR NEUROSCIENCE
(2018)
Article
Biology
Youna Vandaele, Nagaraj R. Mahajan, David J. Ottenheimer, Jocelyn M. Richard, Shreesh P. Mysore, Patricia H. Janak
Article
Multidisciplinary Sciences
Wen-Kai You, Shreesh P. Mysore
NATURE COMMUNICATIONS
(2020)
Article
Multidisciplinary Sciences
Nagaraj R. Mahajan, Shreesh P. Mysore
Summary: Categorical neural responses are important for decision making, and researchers have discovered that a donut-like inhibition motif can effectively generate these responses. They found that this mechanism operates in the midbrain spatial selection network in barn owls and is necessary for categorical signaling. They also revealed a generalizable neural implementation of the donut-like motif for categorical selection.
NATURE COMMUNICATIONS
(2022)
Article
Neurosciences
Wen-Kai You, Shreesh P. Mysore
Summary: The temporal dynamics of visual decision-making in freely behaving mice were investigated in this study, revealing two stages in the time course of mouse visual decision-making and estimating the durations of these stages. Additionally, it was found that the duration for which mice naturally withhold from responding can serve as a quantitative measure of impulsivity.
Article
Multidisciplinary Sciences
Hannah M. Schryver, Shreesh P. Mysore
Summary: This study investigates the role and construction mechanism of inhibitory neurons in the barn owl's midbrain in controlling visual perception and attention. The results show that the classical inhibitory surrounds of Imc neurons are inherited from OT, while the extraclassical inhibitory surrounds are constructed within Imc. These findings reveal the key design principles of the midbrain spatial attention circuit and emphasize the critical importance of competitive interactions within Imc for its operation.
NATURE COMMUNICATIONS
(2023)
Article
Behavioral Sciences
Hannah M. Schryver, Shreesh P. Mysore
BRAIN BEHAVIOR AND EVOLUTION
(2019)