biomemesis   2

Neural-inspired sensors enable sparse, efficient classification of spatiotemporal data | PNAS
Winged insects perform remarkable aerial feats in uncertain, complex fluid environments. This ability is enabled by sensation of mechanical forces to inform rapid corrections in body orientation. Curiously, mechanoreceptor neurons do not faithfully report forces; instead, they are activated by specific time histories of forcing. We find that, far from being a bug, neural encoding by biological sensors is a feature that acts as built-in temporal filtering superbly matched to detect body rotation. Indeed, this encoding further enables surprisingly efficient detection using only a small handful of neurons at key locations. Nature suggests smart data as an alternative strategy to big data, and neural-inspired sensors establish a paradigm in hyperefficient sensing of complex systems.
biology  biomechanics  biomemesis  machinelearning 
october 2018 by madamim
Investigation of Controlled Growth of Metal–Organic Frameworks on Anisotropic Virus Particles - ACS Applied Materials & Interfaces (ACS Publications)
Biomimetic mineralization with metal–organic frameworks (MOF), typically zeolitic imidazolate framework-8 (ZIF-8), is an emerging strategy to protect sensitive biological substances against denaturing environmental stressors such as heat and proteolytic agents. Additionally, this same biomimetic mineralization process has the potential of being used to create distinct core–shell architectures using genetically or chemically modified viral nanoparticles.
particles  biomemesis 
april 2018 by madamim

related tags

biology  biomechanics  machinelearning  particles 

Copy this bookmark: