Review
Neurosciences
Leesun Ryu, Sung Yong Kim, Anmo J. Kim
Summary: This review provides insights into the neural implementations of visual behaviors in Drosophila, focusing on how the visual system detects and processes various visual features to generate appropriate behavioral responses.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Neurosciences
Mikhail A. Nikitin, Daria Y. Romanova, Simkha I. Borman, Leonid L. Moroz
Summary: Using Trichoplax adhaerens as a model, this study found that amino acids and neurotransmitters can regulate the locomotion and feeding behaviors of Trichoplax. The results showed that the amino acids act on multiple receptors to modulate feeding and locomotion. These findings reveal the important role of neurotransmitters in the origin of synapses in metazoans.
FRONTIERS IN NEUROSCIENCE
(2023)
Article
Neurosciences
Chi Ren, Kailong Peng, Ruize Yang, Weikang Liu, Chang Liu, Takaki Komiyama
Summary: This study found that different subtypes of inhibitory neurons (INs) in the cortex of mice learning a task are globally modulated throughout the cortex, with initial learning involving varying levels of activation of VIP-INs and SOM-INs. Furthermore, manipulation of the cholinergic system can affect the activity of cortical IN subtypes and subsequently impact motor learning.
Article
Biology
Elena N. Judd, Samantha M. Lewis, Abigail L. Person
Summary: Recent research has identified distinct functional specificity in the output pathways of the cerebellar nuclei, raising the question of whether inhibitory neurons also contribute to multiple output modules. Mapping of cell types has revealed widespread branching of inhibitory neurons within the brainstem, targeting both motor- and sensory-related nuclei, different from excitatory outputs. Despite differences in output targeting, there are largely shared afferents to both cell classes.
Article
Neurosciences
Yiyuan Yang, Mingzheng Wu, Abraham Vazquez-Guardado, Amy J. Wegener, Jose G. Grajales-Reyes, Yujun Deng, Taoyi Wang, Raudel Avila, Justin A. Moreno, Samuel Minkowicz, Vasin Dumrongprechachan, Jungyup Lee, Shuangyang Zhang, Alex A. Legaria, Yuhang Ma, Sunita Mehta, Daniel Franklin, Layne Hartmann, Wubin Bai, Mengdi Han, Hangbo Zhao, Wei Lu, Yongjoon Yu, Xing Sheng, Anthony Banks, Xinge Yu, Zoe R. Donaldson, Robert W. Gereau, Cameron H. Good, Zhaoqian Xie, Yonggang Huang, Yevgenia Kozorovitskiy, John A. Rogers
Summary: The authors introduce advanced technology for controlled wireless light delivery in optogenetics applications with real-time user programming capacity, demonstrating utility in inducing neural synchrony to modify social behavior in mice. Engineering studies of optoelectronic and thermal properties define capabilities and key design considerations of the wireless optogenetic platforms, highlighting the power of real-time subject-specific programmability.
NATURE NEUROSCIENCE
(2021)
Article
Automation & Control Systems
Deyuan Meng, Yuxin Wu, Mingjun Du
Summary: This article focuses on solving disagreement behavior analysis problems for cooperative-antagonistic networks (CANs) subject to switching topologies, for which the extended structural balance theory is developed by concerning the local nodes instead of global CANs. A notion of simultaneously structurally balanced nodes is proposed to identify the roles of nodes. The equivalence between the impact index and the number of simultaneously structurally balanced nodes characterizes a specific class of quasi-interval bipartite consensus behaviors for CANs.
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS
(2021)
Review
Neurosciences
Sadra Sadeh, Claudia Clopath
Summary: Inhibitory stabilization is a crucial mechanism that enables high-gain excitatory networks to operate without leading to runaway activity, supported by experimental evidence in the brain and influencing cortical computation.
NATURE REVIEWS NEUROSCIENCE
(2021)
Article
Automation & Control Systems
Yuxin Wu, Deyuan Meng, Zheng-Guang Wu
Summary: This article focuses on overcoming the effect of time-varying topologies and identifying the behaviors of cooperative-antagonistic networks (CANs). The extended leader-follower (ELF) framework allows each leader to dynamically evolve through communication with its neighbors. The study shows the emergence of a new class of bipartite containment fluctuation behaviors in CANs, where leaders are clustered into separate groups, achieving modulus consensus, while followers fluctuate within a bounded region. A simulation example is provided to demonstrate the effectiveness of the behavior analysis results for CANs.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2022)
Article
Biology
Haleigh N. Mulholland, Bettina Hein, Matthias Kaschube, Gordon B. Smith
Summary: The study found that before visual experience, spontaneous activity in inhibitory neurons is already highly organized in distributed modular networks, in quantitative agreement with excitatory networks. Additionally, excitatory and inhibitory networks are strongly co-aligned at different scales.
Article
Food Science & Technology
Luli Zhou, Guanyu Hou, Hanlin Zhou, Khaled Abouelezz, Yuxiu Ye, Jun Rao, Song Guan, Dingfa Wang
Summary: This study quantified the content of Oroxylin A, a major antifungal compound in Piper sarmentosum extract (PSE), using UPLC-QTOF-MS/MS and investigated its antagonistic activity against Fusarium graminearum and its inhibitory effect on zearalenone (ZEA) production. The results showed that Oroxylin A inhibited both fungal growth and ZEA production in a dose-dependent manner.
Article
Physics, Fluids & Plasmas
Kestutis Pyragas, Augustinas P. Fedaravicius, Tatjana Pyragiene
Summary: The study analyzes collective oscillations and their suppression in a large-scale neural network, revealing different dynamic modes such as stable resting state, stable limit cycle, and bistability. It demonstrates that specific stimulation can effectively suppress collective oscillations in the network.
Article
Neurosciences
Grace E. Paquelet, Kassandra Carrion, Clay O. Lacefield, Pengcheng Zhou, Rene Hen, Bradley R. Miller
Summary: The serotonin system modulates emotional behaviors and states. DRN5-HT neurons are more sensitive to emotionally salient stimuli and the DRN serotonin system responds to emotional salience using ensembles with mixed selectivity and biases in downstream connectivity.
Article
Engineering, Biomedical
Yabin Deng, Bijing Liu, Zenan Huang, Xiaojie Liu, Shan He, Qiuhong Li, Donghui Guo
Summary: Dendrites play a crucial role in neuronal activities and information processing. However, the current spiking neural network models lack consideration of dendritic morphologies, limiting their ability to accurately simulate neuronal information processing. This study proposes a dendritic fractal model to quantify the effects of dendritic morphologies and successfully demonstrates the same multiple timescale dynamics as biological neurons by integrating this model into fractional leaky integrate-and-fire neuron circuits.
IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS
(2022)
Article
Multidisciplinary Sciences
Leonidas M. A. Richter, Julijana Gjorgjieva
Summary: This study investigates the impact of deprivation-induced synaptic changes on excitatory and inhibitory firing rates. It reveals that a single interneuron subtype can only co-modulate the firing rates together, while independent modulation observed in experiments requires strong feedback from a second interneuron subtype.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Engineering, Electrical & Electronic
Elena Adomaitiene, Steponas Asmontas, Skaidra Bumeliene, Arunas Tamasevicius
Summary: The I&F electronic neuron model generates short spikes, can be stabilized by feedback, inhibits spikes with high frequency action, and can synchronize when coupled units.
AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
(2021)