Publications by authors named "Xiaoyang Long"

Successful navigation relies on reciprocal transformations between spatial representations in world-centered (allocentric) and self-centered (egocentric) frames of reference. The neural basis of allocentric spatial representations has been extensively investigated with grid, border, and head-direction cells in the medial entorhinal cortex (MEC) forming key components of a 'cognitive map'. Recently, egocentric spatial representations have also been identified in several brain regions, but evidence for the coexistence of neurons encoding spatial variables in each reference frame within MEC is so far lacking.

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Head-direction (HD) cells are a fundamental component in the hippocampal-entorhinal circuit for spatial navigation and help maintain an internal sense of direction to anchor the orientation in space. A classical HD cell robustly increases its firing rate when the head is oriented toward a specific direction, with each cell tuned to only one direction. Although unidirectional HD cells are reported broadly across multiple brain regions, computation modelling has predicted the existence of multiple equilibrium states of HD network, which has yet to be proven.

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The medial prefrontal cortex (mPFC) is a key brain structure for higher cognitive functions such as decision-making and goal-directed behavior, many of which require awareness of spatial variables including one's current position within the surrounding environment. Although previous studies have reported spatially tuned activities in mPFC during memory-related trajectory, the spatial tuning of mPFC network during freely foraging behavior remains elusive. Here, we reveal geometric border or border-proximal representations from the neural activity of mPFC ensembles during naturally exploring behavior, with both allocentric and egocentric boundary responses.

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Article Synopsis
  • Spatially modulated grid cells were identified in the rat's secondary visual cortex (V2) while the rats navigated, but their function and underlying processes are still unclear.
  • A biologically inspired neural network was trained for a 2D navigation task using multiple sensory inputs, revealing grid-like responses in both excitatory and inhibitory units.
  • The study also identified connections between grid patterns and their functionality in various tasks, suggesting V2 grid cells share computational mechanisms for both spatial navigation and visual recognition.
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Article Synopsis
  • * Recent research suggests that grid-like representations may play a crucial role in various perceptual and cognitive tasks, especially those related to movement and mental navigation.
  • * The authors encourage the use of computational modeling to explore grid cell theories and hope that their insights will foster new testable hypotheses in future experiments.
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Article Synopsis
  • Head direction (HD) cells are crucial for spatial navigation and are connected to spatial memory, acting as an internal compass in the brain.
  • The study highlights two types of HD cells in the somatosensory cortex: regular-spiking (RS) and fast-spiking (FS), with FS cells displaying sharper directionality and unique firing patterns.
  • The coexistence of FS and RS HD cells in different layers suggests a new way of spatial representation, challenging previous beliefs about the tuning of FS interneurons to sensory stimuli.
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Article Synopsis
  • Spatially selective firing of various cell types, including place and grid cells, is essential for spatial navigation within the hippocampal-entorhinal complex, but head direction cells are found throughout the brain with different representations.
  • Research indicates that sensory inputs, particularly from vision, influence spatial representation in this area, prompting an investigation into other senses like touch.
  • The study revealed similar spatially selective firing patterns in the somatosensory cortex of foraging rats, suggesting that this area of the brain also processes spatial information, which could have implications for rehabilitation through brain-machine interfaces.
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The effective growth of boron nitride nanotubes (BNNTs) by boron oxide chemical vapor deposition (BOCVD) is extremely challenging, especially in a horizontal tube furnace. Herein, we propose a novel Mg-induction strategy, which is low cost and efficiently generates BNNTs by separating Mg from diverse boron sources (B2O3, H3BO3, borates, and so on). After careful analysis and discussion of the prepared BNNTs, the corresponding in situ generation of MgB2, an effective catalyst for the growth of BNNTs, was proposed and verified.

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The difficulty in synthesizing boron nitride nanotubes (BNNTs) in a conventional horizontal tube furnace by chemical vapor deposition (CVD) may be ascribed to the failure to identify suitable catalysts and nucleation particles. This report demonstrates that magnesium diboride (MgB) can effectively catalyze the growth of BNNTs in such a tube furnace from various boron sources, including boron oxide (BO), boric acid (HBO), and a mixture of boron (B) and calcium oxide (CaO). This catalyst is more efficient than the possible magnesium oxide (MgO) or magnesium nitride (MgN) catalysts.

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Electrically conductive adhesives (ECAs) can be regarded as one of the most promising materials to replace tin/lead solder. However, relatively low conductivity seriously restricts their applications. In the present study, we develop an effective method to decrease the bulk electrical resistivity of ECAs.

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Boron nitride nanotubes (BNNTs) have outstanding properties and potential applications. However, the fundamental issue regarding the growth mechanism remains an open question. Herein, we design a bimetallic catalyst that dissolves B and N simultaneously, which has been proved to be key for BNNT growth.

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Freestanding boron nitride nanosheet (BNNS) films with designed structures are first fabricated by chemical vapor deposition (CVD) methods. As-prepared freestanding BNNS films exhibit outstanding hydrophobicity and lipophilicity properties. Such brilliant behaviors make them applicable in oil/water separation with very high fluxes up to 1 200 000 L m h bar and excellent separation efficiencies (ppm level in terms of the water content in the filtrate).

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Background: This study tested the hypothesis that median nerve stimulation (MNS) prevents ventricular arrhythmias (VAs) induced by dorsomedial hypothalamus stimulation (DMHS) and investigated the electrophysiological mechanisms underlying the anti-arrhythmic effects of MNS by recording left stellate ganglion activity (LSGA).

Methods: Eighteen rabbits were anesthetized, the median nerve was anchored by stimulating electrodes, and a bipolar electrode was implanted into the LSG to record nerve activity. The DMH was stimulated to induce arrhythmia.

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Current neuromodulation techniques such as optogenetics and deep-brain stimulation are transforming basic and translational neuroscience. These two neuromodulation approaches are, however, invasive since surgical implantation of an optical fiber or wire electrode is required. Here, we have invented a non-invasive magnetogenetics that combines the genetic targeting of a magnetoreceptor with remote magnetic stimulation.

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