byte physics Physikalische Softwareentwicklung

Thomas Chartrand et al. “Morphoelectric and transcriptomic diver-
gence of the layer 1 interneuron repertoire in human versus mouse
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[Cam+22]

Luke Campagnola et al. “Local connectivity and synaptic dynamics in mouse and human neocortex”. In: Science 375.6585 (2022),
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[Ber+21]

Jim Berg et al. “Human neocortical expansion involves glutamatergic neuron diversification”. In: Nature 598.7879 (Oct. 2021), pages 151–
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[Lee+21]

Brian R Lee et al. “Scaled, high fidelity electrophysiological, mor
phological, and transcriptomic cell characterization”. In: eLife 10 (Aug. 2021), e65482. issn: 2050-084X. doi: 10.7554/eLife.65482.

[Gou+20]

Nathan W. Gouwens et al. “Integrated Morphoelectric and Tran-
scriptomic Classification of Cortical GABAergic Cells”. In: Cell 183.4 (2020), 935–953.e19. issn: 0092-8674. doi: 10.1016/j.cell.2020. 09.057.

[Mis+20]

Shantanu Mishra et al. “Topological frustration induces unconventional magnetism in a nanographene”. In: Nature Nanotechnology
15.1 (Jan. 2020), pages 22–28. issn: 1748-3395. doi: 10.1038/ s41565-019-0577-9.

[Gou+19]

Nathan W. Gouwens et al. “Classification of electrophysiological and morphological neuron types in the mouse visual cortex”. In: Nature Neuroscience 22.7 (2019), pages 1182–1195. issn: 1546-1726. doi:
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[See+18]

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Stephanie C Seeman et al. “Sparse recurrent excitatory connectivity in the microcircuit of the adult mouse and human cortex”. In: eLife 7 (Sept. 2018), e37349. doi: 10.7554/eLife.37349.

[Vas+17]

D. Vasilyev et al. “Spin-entanglement between two freely propagating electrons: Experiment and theory”. In: Phys. Rev. B 95 (11 Mar. 2017), page 115134. doi: 10.1103/PhysRevB.95.115134.

[Jar+16]

Tim Jarsky et al. “MIES: a electrophysiology experiment automation software”. In: Poster presentation: 752.11/MMM31. Society for Neurosciene. Nov. 2016. url: http://www.abstractsonline.com/pp8/index.html#!/4071/presentation/3558.

[Vas+16]

D. Vasilyev and J. Kirschner. “Design and performance of a spin-
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