Publications by authors named "G Sterne"

Walking is a complex motor programme involving coordinated and distributed activity across the brain and the spinal cord. Halting appropriately at the correct time is a critical component of walking control. Despite progress in identifying neurons driving halting, the underlying neural circuit mechanisms responsible for overruling the competing walking state remain unclear.

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Article Synopsis
  • - The assembly of the Drosophila melanogaster brain connectome, featuring over 125,000 neurons and 50 million synaptic connections, serves as a framework to study sensory processing across the brain.
  • - A computational model simulating the fly's brain was created to investigate the neural circuits involved in feeding and grooming behaviors, accurately predicting neuron responses to taste and motor activity.
  • - The model also extends to mechanosensory circuits, confirming its ability to predict neuronal activation patterns and providing valuable insights into how the brain processes different sensory stimuli for behaviors.
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Introduction: Silicone breast implants are widely prevalent. An increasing group of patients detail self-reported somatic and psychological symptoms that have been ascribed as breast implant illness (BII) and seek capsulectomy and implant removal. To guide consultations and shared decision making, more outcome data relating to this intervention are required.

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Down syndrome (DS) is caused by triplication of human chromosome 21 (HSA21). Although several HSA21 genes have been found to be responsible for aspects of DS, whether and how HSA21 genes interact with each other is poorly understood. DS patients and animal models present with a number of neurological changes, including aberrant connectivity and neuronal morphology.

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The forthcoming assembly of the adult central brain connectome, containing over 125,000 neurons and 50 million synaptic connections, provides a template for examining sensory processing throughout the brain. Here, we create a leaky integrate-and-fire computational model of the entire brain, based on neural connectivity and neurotransmitter identity, to study circuit properties of feeding and grooming behaviors. We show that activation of sugar-sensing or water-sensing gustatory neurons in the computational model accurately predicts neurons that respond to tastes and are required for feeding initiation.

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