Lifeboat Foundation

Summary: Brain mapping study reveals memory engrams are widely distributed throughout the brain, including among regions not previously realized.

Source: picower institute for learning and memory.

A new study by scientists at The Picower Institute for Learning and Memory at MIT provides the most comprehensive and rigorous evidence yet that the mammalian brain stores a single memory across a widely distributed, functionally connected complex spanning many brain regions, rather than in just one or even a few places.

We’ve seen this funky dual disk polar printer already recently, but [Heinz Loepmeier] has been busy working on it, so here’s an update. The primary focus here is nozzleboss, a blender plugin which enables the surface textures of already sliced objects to be manipulated. The idea is to read in the gcode for the object, and convert it to an internal mesh representation that blender needs in order to function. From there the desired textures can be applied to the surfaces for subsequent stages to operate upon. One trick that nozzleboss can do is to create weight maps to tweak the extrusion flow rate or print velocity value according to the pixel value at the surface — such ‘velocity painting’ can produce some very subtle surface effects on previously featureless faces. Another

Continue reading “Texture Map GCode Directly In Blender With NozzleBoss” »

Scientists have developed a new artificial intelligence (AI) technology that models and maps the natural environment in intricate detail. Check out how this could help scientists in their work.

These steps are repeated for each cell type, creating a richer and more complete map of the brain with each run-through.

Working together to build a brain map

Continue reading “Mapping how the 100 billion cells in the brain all fit together is the brave new world of neuroscience” »

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Autonomous drone mapping startup Emesent has announced its latest survey-grade LiDAR payload: Hovermap ST. The lightweight, IP65-rated solution is being launched with Emesent’s new Automated Ground Control feature that, the company stresses, enables autonomous data capture in harsher environments than ever and for a wider range of use cases.

Emesent’s LiDAR payloads leverage a process called simultaneous localization and mapping (SLAM), in which a drone builds a map and, at the same time, localizes the drone in that map.

The Santa Cruz Mountains define the geography of the Bay Area south of San Francisco, protecting the peninsula from the Pacific Ocean’s cold marine layer and forming the region’s notorious microclimates. The range also represents the perils of living in Silicon Valley: earthquakes along the San Andreas fault.

In bursts that last seconds to minutes, earthquakes have moved the region’s surface meters at a time. But researchers have never been able to reconcile the quick release of the Earth’s stress and the bending of the Earth’s crust over years with the formation of mountain ranges over millions of years. Now, by combining geological, geophysical, geochemical and satellite data, geologists have created a 3D tectonic model that resolves these timescales.

The research, which appears in Science Advances Feb. 25, reveals that more mountain building happens in the period between large earthquakes along the San Andreas Fault, rather than during the quakes themselves. The findings may be used to improve local seismic hazard maps.