Ih
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A noradrenergic Ih-dependent pacemaker system drives sniffing
Sniffs are rapid breaths generated to clear nasal passages, actively sample air for smelling, and, in infants, rouse from sleep. Rapid shifts between breathing at rest (eupnea) and sniffing point to generation of both behaviors by the core brainstem inspiratory oscillator, the preBotzinger Complex (preBotC). Eupneic rhythm generating mechanisms, when driven faster, are assumed to underlie higher frequency sniffing rhythms; however, the mechanisms governing sniffing have not been directly...
Intellectual Humility as a Cognitive Filter for AI-Generated Health Misinformation. An Evolutionary Perspective on Epistemic Vigilance
arXiv:2606.03377v1 Announce Type: new Abstract: We present experimental findings from a study (N=99) examining how intellectual humility (IH), i.e., the metacognitive awareness of epistemic limitations, affects the evaluation of AI-generated health dialogues varying in scientific rigor. Participants were randomly assigned to evaluate one of three dialogues about exercise and mental health: scientifically accurate, moderately pseudoscientific, or strongly pseudoscientific. Results reveal that...
Scientists mapped every neural connection in a fruit fly and found a surprise
Scientists mapped every neural connection in a fruit fly and found a surprise Scientists have completed the first full brain-to-body wiring map of a fruit fly, revealing that behavior may be driven more by local neural teamwork than by a central brain command center. - Date: - June 10, 2026 - Source: - Harvard Medical School - Summary: - A groundbreaking new connectome maps every neural connection in an adult fruit fly’s central nervous system, creating an unprecedented view of how the brain...
TeX-1500: A Paired Real-World LWIR Hyperspectral Dataset and Benchmark for Temperature-Emissivity-Texture Decomposition
arXiv:2606.03806v1 Announce Type: new Abstract: Temperature-emissivity-texture (TeX) decomposition seeks to recover object heat state, material spectral response, and visible-like geometric texture from long-wave infrared hyperspectral imaging (LWIR HSI). Existing TeX pipelines are mainly scene-specific inverse solvers, and the lack of paired LWIR HSI-TeX supervision has limited learning-based decomposition. To address this gap, we introduce TeX-1500, a large-scale paired LWIR HSI-TeX...
Ethical Fairness in Ubiquitous Health Sensing without Known Attributes
arXiv:2603.13373v4 Announce Type: replace Abstract: In ubiquitous and mobile health systems, computational models infer human states from wearable, behavioral, and physiological sensing data. In these settings, high accuracy alone is insufficient; models must act ethically and equitably across diverse people, contexts, and devices.
Distilling first-principles accuracy into compact machine learning potentials for condensed-phase chemistry
Announce Type: new Abstract: Accurate machine learning interatomic potentials (MLIPs) have made first-principles-quality potential energy surfaces increasingly accessible for condensed-phase chemistry, but their inference cost can still limit the sampling needed to compute experimentally relevant observables. In this work, we combine transfer learning and knowledge distillation to construct compact "student" models that retain the accuracy of much larger "teacher" models obtained by applying...