add latest Masoli paper to bibtex file

misc/github_wiki/bibtex/uses_BPO.bib

@@ -1,4 +1,3 @@
-
 @article{allamNeuronalPopulationModels2021a,
   title = {Neuronal Population Models Reveal Specific Linear Conductance Controllers Sufficient to Rescue Preclinical Disease Phenotypes},
   author = {Allam, Sushmita L. and Rumbell, Timothy H. and {Hoang-Trong}, Tuan and Parikh, Jaimit and Kozloski, James R.},
@@ -371,6 +370,18 @@ @article{masoliCerebellarGolgiCell2020a
   langid = {english}
 }
 
+@techreport{masoliHumanOutperformMouse2023,
+  type = {Preprint},
+  title = {Human Outperform Mouse {{Purkinje}} Cells in Dendritic Complexity and Computational Capacity},
+  author = {Masoli, Stefano and {Sanchez-Ponce}, Diana and Vrieler, Nora and {Abu-Haya}, Karin and Lerner, Vitaly and Shahar, Tal and Nedelescu, Hermina and Rizza, Martina Francesca and {Benavides-Piccione}, Ruth and DeFelipe, Javier and Yarom, Yosef and Munoz, Alberto and D'Angelo, Egidio},
+  year = {2023},
+  month = mar,
+  institution = {{Neuroscience}},
+  doi = {10.1101/2023.03.08.531672},
+  abstract = {Purkinje cells (PC) of the cerebellum are amongst the largest neurons of the brain and have been extensively investigated in rodents. However, their morphological and physiological properties in humans are still poorly understood. Here, we have taken advantage of high-resolution morphological reconstructions and of unique electrophysiological recordings of human PCs ex vivo to generate computational models and estimate computational capacity. An inter-species comparison showed that human PCs had similar fractal structure but were bigger than mouse PCs. Consequently, given a similar spine density (2/micrometer), human PCs hosted about 5 times more dendritic spines. Moreover, human had higher dendritic complexity than mouse PCs and usually emitted 2-3 main dendritic trunks instead than 1. Intrinsic electroresponsiveness was similar in the two species but model simulations revealed that the dendrites generated \textasciitilde 6.5 times (n=51 vs. n=8) more combinations of independent input patterns in human than mouse PCs leading to an exponential 2n increase in Shannon information. Thus, while during evolution human PCs maintained similar patterns of spike discharge as in rodents, they developed more complex dendrites enhancing computational capacity up to the limit of 10 billion times.},
+  langid = {english}
+}
+
 @article{masoliParameterTuningDifferentiates2020a,
   title = {Parameter Tuning Differentiates Granule Cell Subtypes Enriching Transmission Properties at the Cerebellum Input Stage},
   author = {Masoli, Stefano and Tognolina, Marialuisa and Laforenza, Umberto and Moccia, Francesco and D'Angelo, Egidio},
@@ -671,5 +682,3 @@ @article{yaoReducedInhibitionDepression2022
   abstract = {Cortical processing depends on finely tuned excitatory and inhibitory connections in neuronal microcircuits. Reduced inhibition by somatostatin-expressing interneurons is a key component of altered inhibition associated with treatment-resistant major depressive disorder (depression), which is implicated in cognitive deficits and rumination, but the link remains to be better established mechanistically in humans. Here we test the effect of reduced somatostatin interneuron-mediated inhibition on cortical processing in human neuronal microcircuits using a data-driven computational approach. We integrate human cellular, circuit, and gene expression data to generate detailed models of human cortical microcircuits in health and depression. We simulate microcircuit baseline and response activity and find a reduced signal-to-noise ratio and increased false/failed detection of stimuli due to a higher baseline activity in depression. We thus apply models of human cortical microcircuits to demonstrate mechanistically how reduced inhibition impairs cortical processing in depression, providing quantitative links between altered inhibition and cognitive deficits.},
   langid = {english}
 }
-
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