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Using statistical physics and insights from biology, this research can help inform new hypotheses and experiments towards understanding the olfactory system, a complex and crucial pathway of the brain. study published in PLOS Computational Biology describes a new model for how the olfactory system discerns unique odors. Researchers from the University of Pennsylvania found that a simplified, statistics-based model can explain how individual odors can be perceived as more or less similar from others depending on the context. This model provides a starting point for generating new hypotheses and conducting experiments that can help researchers better understand the olfactory system,Using statistical physics and insights from biology, this research can help inform new hypotheses and experiments towards understanding the olfactory system, a complex and crucial pathway of the brain. study published in PLOS Computational Biology describes a new model for how the olfactory system discerns uni

Gaia tavoniEricak brockmeierVijay balasubramanianDavide chen kersenDepartment of physics astronomySwartz foundationSchool of arts sciencesPenn computational neuroscience initiativeUniversity of pennsylvaniaWashington university in stComputational neuroscience initiativeWashington universityMarc lasry professorSimons foundation mathematical modelingLiving systems