BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Memento EPFL// BEGIN:VEVENT SUMMARY:Blue Brain Seminar - A multi-modal fitting approach to construct s ingle-neuron models with patch-clamp and high-density microelectrode array s DTSTART:20220729T110000 DTEND:20220729T120000 DTSTAMP:20260408T020704Z UID:fd5640556aff68373296c2849e283b6343c106e68fdc3258a1706dd7 CATEGORIES:Conferences - Seminars DESCRIPTION:Alessio Buccino\nAbstract\n \nIn computational neuroscience\, multicompartment models are among the biophysically most realistic repres entations of single neurons.\n\nConstructing such models usually involves the use of the patch-clamp technique to record somatic voltage signals und er different experimental conditions.\n\nThe experimental data are then us ed to fit the many parameters of the model. While patching of the soma is the gold-standard approach to build multicompartment models\, several stud ies have also evidenced a richness of dynamics in dendritic and axonal sec tions.\n\nRecording from the soma alone makes it hard to observe and corre ctly parameterize the activity of non-somatic compartments.\n\nIn order to provide a richer set of data as input to multicompartment models\, we her e investigate the combination of somatic patch-clamp recordings with recor dings of high-density microelectrode arrays (HD-MEAs).\n\nHD-MEAs enable t o observe extracellular potentials and neural activity of neuronal compart ments at subcellular resolution.\nIn this work\, we introduce a novel fram ework to combine patch-clamp and HD-MEA data to construct multicompartment models.\n\nWe first validate our method on a ground-truth model with know n parameters and show that the use of features extracted from extracellula r signals\, in addition to intracellular ones\, yields models enabling bet ter fits than using intracellular features alone.\n\nWe also demonstrate o ur procedure experimentally by constructing cell models from in vitro cell cultures.\n\nThe proposed multi-modal fitting procedure has the potential to augment the modeling efforts of the computational neuroscience communi ty and to provide the field with neuronal models that are more realistic a nd can be better validated.\n \nBiography\n\nAlessio Buccino is a researc h engineer and software developer focused on methods and analysis tools fo r neuroscience research\, especially for extracellular electrophysiology.\ n\nHe is passionate about science\, software\, and engineering\, and his m ission is to support neuroscientists and facilitate their research efforts by providing state-of-the-art analysis methods and software tools.\n\nAmo ng these\, he is the core developer of several open-source scientific tool s\, including SpikeInterface\, a widely used software framework to unify a nd simplify the analysis of extracellular electrophysiology data.\n\nIn Ma rch 2022\, Alessio joined the Allen Institute for Neural Dynamics team as an electrophysiology pipeline development engineer consultant\, with the g oal of building open-source and computationally efficient processing pipel ines to analyze large amounts of electrophysiological data.\n\nSince July 2020\, he has also been working part-time at CatalystNeuro\, a consulting company with the mission of facilitating collaborations in neuroscience an d standardizing data analysis and data storage solutions.\n\nPreviously\, Alessio was a Postdoctoral Fellow at the Bio Engineering Lab at ETH with  Prof. Andreas Hierlemann\, working on multimodal approaches to probe neura l activity and to construct detailed biophysical models.\n\nBefore that\, he was at the Center for Integrated Neuroplasticity CINPLA\, at the Univer sity of Oslo\, where he received his PhD with a thesis titled "A computati onally-assisted approach to extracellular neural electrophysiology with mu lti-electrode arrays".\n\nRegister here to join with zoom LOCATION:Blue Brain Project\, Campus Biotech\, Geneva. https://epfl.zoom.u s/meeting/register/u5Uufu-qrzsrGdfnYcz9Nhr5WSyjabcCd3Dh STATUS:CONFIRMED END:VEVENT END:VCALENDAR