Mehak M. Khan

Affiliations: 
Harvard Medical School, Boston, MA, United States 
Area:
Deep cerebellar nuclei, synaptic plasticity, neuronal excitability
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Parents

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Dion K. Dickman research assistant 2013-2017 USC
Wade G. Regehr grad student 2017- Harvard Medical School
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Publications

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Wu S, Wardak A, Khan MM, et al. (2024) Implications of variable synaptic weights for rate and temporal coding of cerebellar outputs. Elife. 13
Wu S, Wardak A, Khan MM, et al. (2023) Implications of variable synaptic weights for rate and temporal coding of cerebellar outputs. Biorxiv : the Preprint Server For Biology
Lee JH, Khan MM, Stark AP, et al. (2023) Cerebellar granule cell signaling is indispensable for normal motor performance. Cell Reports. 42: 112429
Khan MM, Wu S, Chen CH, et al. (2022) Unusually slow spike frequency adaptation in deep cerebellar nuclei neurons preserves linear transformations on the sub-second timescale. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience
Han KS, Chen CH, Khan MM, et al. (2020) Climbing fiber synapses rapidly and transiently inhibit neighboring Purkinje cells via ephaptic coupling. Nature Neuroscience
Calame DJ, Xiao J, Khan MM, et al. (2020) Presynaptic PRRT2 deficiency causes cerebellar dysfunction and paroxysmal kinesigenic dyskinesia. Neuroscience
Khan MM, Regehr WG. (2020) Loss of Doc2b does not influence transmission at Purkinje cell to deep nuclei synapses under physiological conditions. Elife. 9
Khan MM, Regehr WG. (2020) Author response: Loss of Doc2b does not influence transmission at Purkinje cell to deep nuclei synapses under physiological conditions Elife
Goel P, Khan M, Howard S, et al. (2019) A screen for synaptic growth mutants reveals mechanisms that stabilize synaptic strength. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience
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