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arXiv:2603.03337v1 Announce Type: new Abstract: Experimental neuroscience has long established that human motor control, specifically in hand movements, adheres to the "Two-Thirds Power Law," relating...
arXiv:2603.03343v1 Announce Type: new Abstract: We propose NEURONA, a neuro-symbolic framework for fMRI decoding and concept grounding in neural activity. Leveraging image- and video-based fMRI...
arXiv:2603.03345v1 Announce Type: new Abstract: In this work we analyze the emergence of phase transitions in a quantum brain model inspired by the Lipkin-Meshkov-Glick framework,...
arXiv:2603.03347v1 Announce Type: new Abstract: Synapses are efficient in the sense that their natural conductance values convey as many bits per Joule as possible, but...
arXiv:2603.03350v1 Announce Type: new Abstract: Manual measurement of muscle morphology from ultrasound during speech is time-consuming and limits large-scale studies. We present SMMA, a fully...
arXiv:2603.03354v1 Announce Type: new Abstract: Although obtaining deep brain activity from non-invasive scalp electroencephalography (sEEG) is crucial for neuroscience and clinical diagnosis, directly generating high-fidelity...
arXiv:2603.03355v1 Announce Type: new Abstract: We present a memory-augmented transformer in which attention serves simultaneously as a retrieval, consolidation, and write-back operator. The core update,...
arXiv:2603.03358v1 Announce Type: new Abstract: Over the past two decades, quantum-like modeling (QLM) has emerged as a powerful framework for describing non-classical features of cognition...
arXiv:2603.03362v1 Announce Type: new Abstract: The brain achieves stability and plasticity in a topologically complex, shifting world through Metric-Topology Factorization (MTF), separating discrete topological indexing...
arXiv:2603.03414v1 Announce Type: new Abstract: We propose that the jagged intelligence landscape of modern AI systems arises from a missing training signal that we call...
arXiv:2603.03476v1 Announce Type: new Abstract: We propose a novel computational framework for analyzing electroencephalography (EEG) time series using methods from stringology, the study of efficient...
arXiv:2603.03493v1 Announce Type: new Abstract: Benchmark rankings are routinely used to justify scientific claims about method quality in gene regulatory network (GRN) inference, yet the...
arXiv:2603.03521v1 Announce Type: new Abstract: Estimating the effective sample size (ESS) is fundamental in Bayesian phylogenetic inference to properly account for autocorrelation in MCMC samples....
arXiv:2603.03591v1 Announce Type: new Abstract: In population genetics, mutation rate is often treated as a homogeneous parameter across the genome. Empirical evidence, however, shows systematic...
arXiv:2603.03864v1 Announce Type: new Abstract: While EEG features differentiate Major Depressive Disorder (MDD) from healthy controls (HC), their clinical utility as biomarkers depends on a...
arXiv:2603.03870v1 Announce Type: new Abstract: We introduce a two-phase quadratic integrate-and-fire (QIF) neuron whose membrane potential evolves according to two alternating Riccati equations within finite...
arXiv:2603.04074v1 Announce Type: new Abstract: \noindent\textbf{Background} Prenatal glucocorticoid exposure alters cardiac development, but whether persistent cardiac effects in childhood follow a dose-response relationship remains unknown....
arXiv:2603.04149v1 Announce Type: new Abstract: Structural and functional heterogeneity are hallmarks of cortical circuits, from broad degree distributions in the mouse connectome to diverse intrinsic...
arXiv:2603.03312v1 Announce Type: cross Abstract: Decoding natural language from non-invasive EEG signals is a promising yet challenging task. However, current state-of-the-art models remain constrained by...
arXiv:2603.03342v1 Announce Type: cross Abstract: Learning robust representations of 3D shapes from voxelized data is essential for advancing AI methods in biomedical imaging. However, most...
arXiv:2603.03507v1 Announce Type: cross Abstract: Adversarial attacks - input perturbations imperceptible to humans that fool neural networks - remain both a persistent failure mode in...
arXiv:2603.03547v1 Announce Type: cross Abstract: From soil to the gut, communities composed of thousands of microbes perform functions such as carbon sequestration and immune system...
arXiv:2603.03603v1 Announce Type: cross Abstract: In animal facilities, continuous surveillance of penguins is essential yet technically challenging due to their homogeneous visual characteristics, rapid and...
arXiv:2603.03604v1 Announce Type: cross Abstract: The social structures of group-living animals such as feral horses are diverse and remain insufficiently understood, even within a single...