TY - JOUR AB - Reaching a high cavity population with a coherent pump in the strong-coupling regime of a single-atom laser is impossible due to the photon blockade effect. In this Letter, we experimentally demonstrate that in a single-atom maser based on a transmon strongly coupled to two resonators, it is possible to pump over a dozen photons into the system. The first high-quality resonator plays the role of a usual lasing cavity, and the second one presents a controlled dissipation channel, bolstering population inversion, and modifies the energy-level structure to lift the blockade. As confirmation of the lasing action, we observe conventional laser features such as a narrowing of the emission linewidth and external signal amplification. Additionally, we report unique single-atom features: self-quenching and several lasing thresholds. AU - Sokolova, Alesya AU - Kalacheva, D. A. AU - Fedorov, G. P. AU - Astafiev, O. V. ID - 12819 IS - 3 JF - Physical Review A SN - 2469-9926 TI - Overcoming photon blockade in a circuit-QED single-atom maser with engineered metastability and strong coupling VL - 107 ER - TY - JOUR AB - The field of indirect reciprocity investigates how social norms can foster cooperation when individuals continuously monitor and assess each other’s social interactions. By adhering to certain social norms, cooperating individuals can improve their reputation and, in turn, receive benefits from others. Eight social norms, known as the “leading eight," have been shown to effectively promote the evolution of cooperation as long as information is public and reliable. These norms categorize group members as either ’good’ or ’bad’. In this study, we examine a scenario where individuals instead assign nuanced reputation scores to each other, and only cooperate with those whose reputation exceeds a certain threshold. We find both analytically and through simulations that such quantitative assessments are error-correcting, thus facilitating cooperation in situations where information is private and unreliable. Moreover, our results identify four specific norms that are robust to such conditions, and may be relevant for helping to sustain cooperation in natural populations. AU - Schmid, Laura AU - Ekbatani, Farbod AU - Hilbe, Christian AU - Chatterjee, Krishnendu ID - 12861 JF - Nature Communications TI - Quantitative assessment can stabilize indirect reciprocity under imperfect information VL - 14 ER - TY - JOUR AB - Despite the considerable progress of in vivo neural recording techniques, inferring the biophysical mechanisms underlying large scale coordination of brain activity from neural data remains challenging. One obstacle is the difficulty to link high dimensional functional connectivity measures to mechanistic models of network activity. We address this issue by investigating spike-field coupling (SFC) measurements, which quantify the synchronization between, on the one hand, the action potentials produced by neurons, and on the other hand mesoscopic “field” signals, reflecting subthreshold activities at possibly multiple recording sites. As the number of recording sites gets large, the amount of pairwise SFC measurements becomes overwhelmingly challenging to interpret. We develop Generalized Phase Locking Analysis (GPLA) as an interpretable dimensionality reduction of this multivariate SFC. GPLA describes the dominant coupling between field activity and neural ensembles across space and frequencies. We show that GPLA features are biophysically interpretable when used in conjunction with appropriate network models, such that we can identify the influence of underlying circuit properties on these features. We demonstrate the statistical benefits and interpretability of this approach in various computational models and Utah array recordings. The results suggest that GPLA, used jointly with biophysical modeling, can help uncover the contribution of recurrent microcircuits to the spatio-temporal dynamics observed in multi-channel experimental recordings. AU - Safavi, Shervin AU - Panagiotaropoulos, Theofanis I. AU - Kapoor, Vishal AU - Ramirez Villegas, Juan F AU - Logothetis, Nikos K. AU - Besserve, Michel ID - 12862 IS - 4 JF - PLoS Computational Biology TI - Uncovering the organization of neural circuits with Generalized Phase Locking Analysis VL - 19 ER - TY - JOUR AB - Machine learning (ML) has been widely applied to chemical property prediction, most prominently for the energies and forces in molecules and materials. The strong interest in predicting energies in particular has led to a ‘local energy’-based paradigm for modern atomistic ML models, which ensures size-extensivity and a linear scaling of computational cost with system size. However, many electronic properties (such as excitation energies or ionization energies) do not necessarily scale linearly with system size and may even be spatially localized. Using size-extensive models in these cases can lead to large errors. In this work, we explore different strategies for learning intensive and localized properties, using HOMO energies in organic molecules as a representative test case. In particular, we analyze the pooling functions that atomistic neural networks use to predict molecular properties, and suggest an orbital weighted average (OWA) approach that enables the accurate prediction of orbital energies and locations. AU - Chen, Ke AU - Kunkel, Christian AU - Cheng, Bingqing AU - Reuter, Karsten AU - Margraf, Johannes T. ID - 12879 JF - Chemical Science SN - 2041-6520 TI - Physics-inspired machine learning of localized intensive properties ER - TY - JOUR AB - Salicylic acid (SA) plays important roles in different aspects of plant development, including root growth, where auxin is also a major player by means of its asymmetric distribution. However, the mechanism underlying the effect of SA on the development of rice roots remains poorly understood. Here, we show that SA inhibits rice root growth by interfering with auxin transport associated with the OsPIN3t- and clathrin-mediated gene regulatory network (GRN). SA inhibits root growth as well as Brefeldin A-sensitive trafficking through a non-canonical SA signaling mechanism. Transcriptome analysis of rice seedlings treated with SA revealed that the OsPIN3t auxin transporter is at the center of a GRN involving the coat protein clathrin. The root growth and endocytic trafficking in both the pin3t and clathrin heavy chain mutants were SA insensitivity. SA inhibitory effect on the endocytosis of OsPIN3t was dependent on clathrin; however, the root growth and endocytic trafficking mediated by tyrphostin A23 (TyrA23) were independent of the pin3t mutant under SA treatment. These data reveal that SA affects rice root growth through the convergence of transcriptional and non-SA signaling mechanisms involving OsPIN3t-mediated auxin transport and clathrin-mediated trafficking as key components. AU - Jiang, Lihui AU - Yao, Baolin AU - Zhang, Xiaoyan AU - Wu, Lixia AU - Fu, Qijing AU - Zhao, Yiting AU - Cao, Yuxin AU - Zhu, Ruomeng AU - Lu, Xinqi AU - Huang, Wuying AU - Zhao, Jianping AU - Li, Kuixiu AU - Zhao, Shuanglu AU - Han, Li AU - Zhou, Xuan AU - Luo, Chongyu AU - Zhu, Haiyan AU - Yang, Jing AU - Huang, Huichuan AU - Zhu, Zhengge AU - He, Xiahong AU - Friml, Jiří AU - Zhang, Zhongkai AU - Liu, Changning AU - Du, Yunlong ID - 12878 IS - 1 JF - Plant Journal SN - 0960-7412 TI - Salicylic acid inhibits rice endocytic protein trafficking mediated by OsPIN3t and clathrin to affect root growth VL - 115 ER -