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Complex behaviors depend on the coordinated activity of neural ensembles in interconnected brain areas. The behavioral function of such coordination, often measured as co-fluctuations in neural activity across areas, is poorly understood. One hypothesis is that rapidly varying co-fluctuations may be a signature of moment-by-moment task-relevant influences of one area on another. We tested this possibility for error-corrective adaptation of birdsong, a form of motor learning which has been hypothesized to depend on the top-down influence of a higher-order area, LMAN (lateral magnocellular nucleus of the anterior nidopallium), in shaping moment-by-moment output from a primary motor area, RA (robust nucleus of the arcopallium). In paired recordings of LMAN and RA in singing birds, we discovered a neural signature of a top-down influence of LMAN on RA, quantified as an LMAN-leading co-fluctuation in activity between these areas. During learning, this co-fluctuation strengthened in a premotor temporal window linked to the specific movement, sequential context, and acoustic modification associated with learning. Moreover, transient perturbation of LMAN activity specifically within this premotor window caused rapid occlusion of pitch modifications, consistent with LMAN conveying a temporally localized motor-biasing signal. Combined, our results reveal a dynamic top-down influence of LMAN on RA that varies on the rapid timescale of individual movements and is flexibly linked to contexts associated with learning. This finding indicates that inter-area co-fluctuations can be a signature of dynamic top-down influences that support complex behavior and its adaptation.
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http://dx.doi.org/10.7554/eLife.83223 | DOI Listing |
Mem Cognit
September 2025
Department of Psychology, University of York, York, YO10 5DD, UK.
Language control has been argued to adapt dynamically to the language context bilinguals are communicating in (Green & Abutalebi, 2013). Previous research has suggested that the demands of the task and current context itself can influence a bilingual's language behaviour and potentially also their language control. Here, we examined how the preceding context, specifically the switching patterns of another bilingual in that context, can influence a bilingual's own language control during production.
View Article and Find Full Text PDFJ Neurosci
September 2025
Lendület Laboratory of Thalamus Research, HUN-REN Institute of Experimental Medicine; Budapest, Hungary
The paraventricular thalamic nucleus (PVT) integrates subcortical signals related to arousal, stress, addiction, and anxiety with top-down cortical influences. Increases or decreases in PVT activity exert profound, long-lasting effects on behavior related to motivation, addiction and homeostasis. Yet the sources of its subcortical excitatory and inhibitory afferents, their distribution within the PVT, and their integration with layer-specific cortical inputs remain unclear.
View Article and Find Full Text PDFACS Nano
September 2025
Frontiers Science Center for Transformative Molecules, State Key Laboratory of Synergistic Chem-Bio Synthesis, School of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai 200240, P. R. China.
Dynamic micro/nano-structured surfaces play pivotal roles in biological systems and engineering applications. Despite considerable progress has been made in fabricating precisely ordered architectures, achieving controlled motion in top-down fabricated structures remain a formidable challenge. Here, we introduce an advanced dynamic micron-nano optical platform featuring hierarchical microscale wrinkles integrated with ordered nanoscale arrays.
View Article and Find Full Text PDFJ Anim Ecol
September 2025
Department of Forest Ecology, Faculty of Forestry and Wood Technology, Mendel University in Brno, Brno, Czech Republic.
Research Highlight: Chen, J., Wang, M. Q.
View Article and Find Full Text PDFCogn Neurodyn
December 2025
NeuroHeuristic Research Group, University of Lausanne, UNIL Chamberonne Internef 138.1, 1015 Lausanne, VD Switzerland.
This paper introduces the concept of -a novel transdisciplinary paradigm designed to advance cognitive neurodynamics by integrating insights from molecular biology, computing, behavioral science, and clinical neuroscience. Contrasted with the traditional reductionist approach rooted in classical determinism, neuroheuristics emphasizes a flexible, problem-solving methodology for investigating brain function across multiple levels of complexity. The paper explores the epistemological interplay among genetic, epigenetic, and environmental factors in brain development and pathology.
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