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Full-Text Articles in Life Sciences
Multimodal Neuron Classification Based On Morphology And Electrophysiology, Aqib Ahmad
Multimodal Neuron Classification Based On Morphology And Electrophysiology, Aqib Ahmad
Graduate Theses, Dissertations, and Problem Reports
Categorizing neurons into different types to understand neural circuits and ultimately brain function is a major challenge in neuroscience. While electrical properties are critical in defining a neuron, its morphology is equally important. Advancements in single-cell analysis methods have allowed neuroscientists to simultaneously capture multiple data modalities from a neuron. We propose a method to classify neurons using both morphological structure and electrophysiology. Current approaches are based on a limited analysis of morphological features. We propose to use a new graph neural network to learn representations that more comprehensively account for the complexity of the shape of neuronal structures. In …
Manipulating The Perineuronal Net In The Deep Cerebellar Nucleus, Deidre E. O'Dell
Manipulating The Perineuronal Net In The Deep Cerebellar Nucleus, Deidre E. O'Dell
Graduate Theses, Dissertations, and Problem Reports
Perineuronal nets (PNN) are a type of specialized extracellular matrix in the central nervous system. The PNN forms during postnatal development but the ontogeny of the PNN has yet to be elucidated. Studying the PNN in the rat brain may allow us to further understand the PNN’s role in development, learning, and memory. The PNN is fully developed in the deep cerebellar nuclei (DCN) of rats by post-natal day 18. By using enzymatic digestion of the PNN with chondroitinase ABC (ChABC), we studied how digestion of the PNN affects cerebellar-dependent eyeblink conditioning (EBC) and performed electrophysiological recordings from DCN neurons. …