New quantum state of matter found at interface of exotic materials

Scientists have discovered a new way that matter can exist—one that is different from the usual states of solid, liquid, gas or plasma—at the interface of two exotic materials made into a sandwich.

Speed-snap science: solving for molecular details in a flash

Using clues from polarization changes recorded at hundreds of billions of frames per second, a new ultrafast imaging technique devised by Caltech researchers provides a new way to measure molecular size.

How did the Great Lakes form? Scientists think they figured it out

New research suggests an ancient hotspot helped shape the Great Lakes, challenging traditional formation theories.

glTF Validator

Newly discovered cosmic megastructure challenges theories of the universe

A 1.3bn light year-sized ring discovered by PhD student in Lancashire appears to defy the cosmological principle assumption

Anisotropy and Frequency Dependence of Signal Propagation in the Cerebellar Circuit Revealed by High-Density Multielectrode Array Recordings

The cerebellum is one of the most connected structures of the central nervous system and receives inputs over an extended frequency range. Nevertheless, the frequency dependence of cerebellar cortical processing remains elusive. In this work, we characterized cerebellar cortex responsiveness to mossy fibers activation at different frequencies and reconstructed the spread of activity in the sagittal and coronal planes of acute mouse cerebellar slices using a high-throughput high-density multielectrode array (HD-MEA). The enhanced spatiotemporal resolution of HD-MEA revealed the frequency dependence and spatial anisotropy of cerebellar activation. Mossy fiber inputs reached the Purkinje cell layer even at the lowest frequencies, but the efficiency of transmission increased at higher frequencies. These properties, which are likely to descend from the topographic organization of local inhibition, intrinsic electroresponsiveness, and short-term synaptic plasticity, are critical elements that have to be taken into consideration to define the computational properties of the cerebellar cortex and its pathological alterations.

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