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Order matters: How covert value updating during sequential option sampling shapes economic preference

August 11, 2020 0

Summary: by Chen Hu, Philippe Domenech, Mathias Pessiglione Standard neuroeconomic decision theory assumes that choice is based on a value comparison process, independent from how information about alternative options is collected. Here, we investigate the opposite intuition that preferences are dynamically shaped as options are sampled, through iterative covert pairwise […]

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Reliable estimation of membrane curvature for cryo-electron tomography

August 10, 2020 0

Summary: by Maria Salfer, Javier F. Collado, Wolfgang Baumeister, Rubén Fernández-Busnadiego, Antonio Martínez-Sánchez Curvature is a fundamental morphological descriptor of cellular membranes. Cryo-electron tomography (cryo-ET) is particularly well-suited to visualize and analyze membrane morphology in a close-to-native state and molecular resolution. However, current curvature estimation methods cannot be applied directly […]

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A machine learning and network framework to discover new indications for small molecules

August 7, 2020 0

Summary: by Coryandar Gilvary, Jamal Elkhader, Neel Madhukar, Claire Henchcliffe, Marcus D. Goncalves, Olivier Elemento Drug repurposing, identifying novel indications for drugs, bypasses common drug development pitfalls to ultimately deliver therapies to patients faster. However, most repurposing discoveries have been led by anecdotal observations (e.g. Viagra) or experimental-based repurposing screens, […]

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Achieving stable dynamics in neural circuits

August 7, 2020 0

Summary: by Leo Kozachkov, Mikael Lundqvist, Jean-Jacques Slotine, Earl K. Miller The brain consists of many interconnected networks with time-varying, partially autonomous activity. There are multiple sources of noise and variation yet activity has to eventually converge to a stable, reproducible state (or sequence of states) for its computations to […]

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Presynaptic inhibition rapidly stabilises recurrent excitation in the face of plasticity

August 7, 2020 0

Summary: by Laura Bella Naumann, Henning Sprekeler Hebbian plasticity, a mechanism believed to be the substrate of learning and memory, detects and further enhances correlated neural activity. Because this constitutes an unstable positive feedback loop, it requires additional homeostatic control. Computational work suggests that in recurrent networks, the homeostatic mechanisms […]

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Predicting precision grip grasp locations on three-dimensional objects

August 4, 2020 0

Summary: by Lina K. Klein, Guido Maiello, Vivian C. Paulun, Roland W. Fleming We rarely experience difficulty picking up objects, yet of all potential contact points on the surface, only a small proportion yield effective grasps. Here, we present extensive behavioral data alongside a normative model that correctly predicts human […]

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Multiplexing information flow through dynamic signalling systems

August 3, 2020 0

Summary: by Giorgos Minas, Dan J. Woodcock, Louise Ashall, Claire V. Harper, Michael R. H. White, David A. Rand We consider how a signalling system can act as an information hub by multiplexing information arising from multiple signals. We formally define multiplexing, mathematically characterise which systems can multiplex and how […]