We investigate the synchronization properties between two excitatory coupled neurons in the presence of an inhibitory loop mediated by an interneuron. Dynamic inhibition together with noise independently applied to each neuron provide phase diversity in the dynamics of the neuronal motif. We show that the interplay between the coupling strengths and the external noise controls the phase relations between the neurons in a counterintuitive way. For a master-slave configuration (unidirectional coupling) we find that the slave can anticipate the master, on average, if the slave is subject to the inhibitory feedback. In this nonusual regime, called anticipated synchronization (AS), the phase of the postsynaptic neuron is advanced with respect to that of the presynaptic neuron. We also show that the AS regime survives even in the presence of unbalanced bidirectional excitatory coupling. Moreover, for the symmetric mutually coupled situation, the neuron that is subject to the inhibitory loop leads in phase.
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http://dx.doi.org/10.1103/PhysRevE.94.042411 | DOI Listing |
BMC Plant Biol
December 2024
College of Agronomy, Sichuan Agricultural University, Chengdu, 611130, China.
Phytochrome-interacting factors (PIFs) belong to a subfamily of the bHLH transcription factor family and play a pivotal role in plant light signal transduction, hormone signal pathways, and the modulation of plant responses to various abiotic stresses. The soybean (Glycine max) is a significant food crop, providing essential oil and nutrients. Additionally, it is a vital industrial raw material and a lucrative cash crop.
View Article and Find Full Text PDFJ Biol Chem
December 2024
Physiology & Biomedical Engineering, Mayo Clinic College of Medicine & Science, Rochester, MN, 55906; Nephrology & Hypertension, Mayo Clinic College of Medicine & Science, Rochester, MN, 55906. Electronic address:
The chloride transporter-channel SLC26A9 is mediated by a reciprocal regulatory mechanism through the interaction between its cytoplasmic STAS domain and the R domain of CFTR. In vertebrate Slc26a9s, the STAS domain structures are interrupted by a disordered loop which is conserved in mammals but is variable in non-mammals. Despite the numerous studies involving the STAS domains in SLC26 proteins, the role of the disordered loop region has not been identified.
View Article and Find Full Text PDFAntibodies (Basel)
December 2024
OncoOne Research & Development GmbH, Karl-Farkas-Gasse 22, A-1030 Vienna, Austria.
Background: Rigorous assessment of antibody developability is crucial for optimizing lead candidates before progressing to clinical studies. Recent advances in predictive tools for protein structures, surface properties, stability, and immunogenicity have streamlined the development of new biologics. However, accurate prediction of the impact of single amino acid substitutions on antibody structures remains challenging, due to the diversity of complementarity-determining regions (CDRs), particularly CDR3s.
View Article and Find Full Text PDFPLoS Pathog
December 2024
Department of Medicine, UConn Health, Farmington, Connecticut, United States of America.
The global resurgence of syphilis has created a potent stimulus for vaccine development. To identify potentially protective antibodies against Treponema pallidum (TPA), we used Pyrococcus furiosus thioredoxin (PfTrx) to display extracellular loops (ECLs) from three TPA outer membrane protein families (outer membrane factors for efflux pumps, eight-stranded β-barrels, and FadLs) to assess their reactivity with immune rabbit serum (IRS). We identified five immunodominant loops from the FadL orthologs TP0856, TP0858 and TP0865 by immunoblotting and ELISA.
View Article and Find Full Text PDFCogn Neurodyn
December 2024
Research Centre of Mathematics, University of Minho, Guimarães, Portugal.
Continuous bump attractor networks (CANs) have been widely used in the past to explain the phenomenology of working memory (WM) tasks in which continuous-valued information has to be maintained to guide future behavior. Standard CAN models suffer from two major limitations: the stereotyped shape of the bump attractor does not reflect differences in the representational quality of WM items and the recurrent connections within the network require a biologically unrealistic level of fine tuning. We address both challenges in a two-dimensional (2D) network model formalized by two coupled neural field equations of Amari type.
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