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• W2000748050 endingPage "2014" @default.
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• W2000748050 abstract "SUMMARY Networks within our spinal cord generate the basic pattern underlying walking. Over the past decade, much progress has been made in our understanding of their function in a variety of vertebrate species. A significant hurdle has been the identification of candidate populations of neurons that are involved in pattern generation in the spinal cord. Recently,systems neuroscientists in collaboration with molecular biologists have begun to dissect the circuitry underlying spinal locomotor networks. These advances have combined genetic and electrophysiological techniques using in vitro preparations of the mouse spinal cord. This review will discuss new advances in the field of spinal locomotor networks with emphasis on the mouse. Many of the behaviors fundamental to animal life, such as breathing,chewing and locomotion, are rhythmic activities controlled by neuronal networks. Discerning which neurons are members of these networks, their synaptic connectivity and their individual electrophysiological properties is essential to our understanding of how rhythmic motor behaviors are produced. It is well known that the spinal cord contains the basic circuitry to produce locomotion. However, identifying neurons and connections within spinal networks is challenging because cells that comprise the locomotor network form part of a heterogeneous mix of interneurons within the ventral spinal cord. Recently, the merging of electrophysiological and genetic approaches has provided new tools to identify classes of interneurons within the spinal cord that contribute to network function. These new findings will be discussed in this review." @default.
• W2000748050 created "2016-06-24" @default.
• W2000748050 creator A5036733857 @default.
• W2000748050 creator A5085757086 @default.
• W2000748050 date "2006-06-01" @default.
• W2000748050 modified "2023-09-26" @default.
• W2000748050 title "Deciphering the organization and modulation of spinal locomotor central pattern generators" @default.
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• W2000748050 doi "https://doi.org/10.1242/jeb.02213" @default.
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