A conditional glutamatergic synaptic vesicle marker for Drosophila

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Recently, cutting-edge brain-machine interfaces (BMIs) have revealed the potential of decoders such as recurrent neural networks (RNNs) in predicting attempted handwriting [1] or speech [2], enabling rapid communication recovery after paralysis. However, c ...

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Amino acid availability is monitored by animals to adapt to their nutritional environment. Beyond gustatory receptors and systemic amino acid sensors, enteroendocrine cells (EECs) are believed to directly percept dietary amino acids and secrete regulatory ...

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A conditional glutamatergic synaptic vesicle marker for Drosophila

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33.3 MiBMI: A 192/512-Channel 2.46mm² Miniaturized Brain-Machine Interface Chipset Enabling 31-Class Brain-to-Text Conversion Through Distinctive Neural Codes

Parental status and markers of brain and cellular age: A 3D convolutional network and classification study

Thalamic contributions to psychosis susceptibility: Evidence from co-activation patterns accounting for intra-seed spatial variability (μCAPs)

Involvement of prelimbic cortex neurons and related circuits in the acquisition of a cooperative learning by pairs of rats

Modeling, fabrication and validation of 3D neural interfaces for peripheral nerves and brain organoids

Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning

Neuroprotection in the Retina: From Preventing Inflammatory Cell Death to Promoting Vascular Stability in the Central Nervous System

Dietary L-Glu sensing by enteroendocrine cells adjusts food intake via modulating gut PYY/NPF secretion

Recovery of walking after paralysis by regenerating characterized neurons to their natural target region

Neural and algorithmic bases of odor guided trail following in mice