10.11588/data/JWLFFZ
Hodapp, Alexander0000-0001-9647-3053(Institute of Physiology and Pathophysiology, Medical Faculty, Heidelberg University, Heidelberg, Germany)Kaiser, Martin E.(Institute of Physiology and Pathophysiology, Medical Faculty, Heidelberg University, Heidelberg, Germany)Thome, Christian(Institute of Physiology and Pathophysiology, Medical Faculty, Heidelberg University, Heidelberg, Germany)Ding, Lingjun(Institute of Neurobiology, University of Tübingen, Tübingen, Germany.)Rozov, Andrei(Institute of Physiology and Pathophysiology, Medical Faculty, Heidelberg University, Heidelberg, Germany)Klumpp, Matthias(Institute of Physiology and Pathophysiology, Medical Faculty, Heidelberg University, Heidelberg, Germany)Stevens, Nikolas(Institute of Physiology and Pathophysiology, Medical Faculty, Heidelberg University, Heidelberg, Germany)Stingl, Moritz(Institute of Physiology and Pathophysiology, Medical Faculty, Heidelberg University, Heidelberg, Germany)Sackmann, Tina(Institute of Physiology and Pathophysiology, Medical Faculty, Heidelberg University, Heidelberg, Germany)Lehmann, Nadja(Institute of Neuroanatomy, Mannheim Center for Translational Neuroscience (MCTN), Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany.)Draguhn, Andreas0000-0002-6243-5582(Institute of Physiology and Pathophysiology, Medical Faculty, Heidelberg University, Heidelberg, Germany)Burgalossi, Andrea(Institute of Neurobiology, University of Tübingen, Tübingen, Germany.)Engelhardt, Maren(Institute of Anatomy and Cell Biology, Medical Faculty, Johannes Kepler University, Linz, Austria)Both, Martin0000-0003-1847-9796(Institute of Physiology and Pathophysiology, Medical Faculty, Heidelberg University, Heidelberg, Germany)
Activity of AcD and nonAcD cells during high-frequency network oscillations [data]
heiDATA
2022
doi:10.11588/data/JWLFFZ/2UXXKSdoi:10.11588/data/JWLFFZ/RC0TXIdoi:10.11588/data/JWLFFZ/KY8CECdoi:10.11588/data/JWLFFZ/WQMELNdoi:10.11588/data/JWLFFZ/FFITLEdoi:10.11588/data/JWLFFZ/VFRYEIdoi:10.11588/data/JWLFFZ/IV75LJdoi:10.11588/data/JWLFFZ/53FS0Edoi:10.11588/data/JWLFFZ/WY4HMMdoi:10.11588/data/JWLFFZ/AGV6HWdoi:10.11588/data/JWLFFZ/EJRDVOdoi:10.11588/data/JWLFFZ/YMBAH1doi:10.11588/data/JWLFFZ/PZYM49doi:10.11588/data/JWLFFZ/O3RUKMdoi:10.11588/data/JWLFFZ/BIX6OFdoi:10.11588/data/JWLFFZ/MWY0NQdoi:10.11588/data/JWLFFZ/EQJNHGdoi:10.11588/data/JWLFFZ/FH7QDCdoi:10.11588/data/JWLFFZ/4DHHGQdoi:10.11588/data/JWLFFZ/MVPZDB
Information processing in neuronal networks involves the recruitment of selected neurons into coordinated spatiotemporal activity patterns. This sparse activation results from widespread synaptic inhibition in conjunction with neuron-specific synaptic excitation. We report the selective recruitment of hippocampal pyramidal cells into patterned network activity. During ripple oscillations in awake mice, spiking is much more likely in cells in which the axon originates from a basal dendrite rather than from the soma. High-resolution recordings in vitro and computer modeling indicate that these spikes are elicited by synaptic input to the axon-carrying dendrite and thus escape perisomatic inhibition. Pyramidal cells with somatic axon origin can be activated during ripple oscillations by blocking their somatic inhibition. The recruitment of neurons into active ensembles is thus determined by axonal morphological features.
Both, Martin(Institute of Physiology and Pathophysiology, Medical Faculty, Heidelberg University, Heidelberg, Germany)