--- _id: '15117' abstract: - lang: eng text: 'The hippocampal mossy fiber synapse, formed between axons of dentate gyrus granule cells and dendrites of CA3 pyramidal neurons, is a key synapse in the trisynaptic circuitry of the hippocampus. Because of its comparatively large size, this synapse is accessible to direct presynaptic recording, allowing a rigorous investigation of the biophysical mechanisms of synaptic transmission and plasticity. Furthermore, because of its placement in the very center of the hippocampal memory circuit, this synapse seems to be critically involved in several higher network functions, such as learning, memory, pattern separation, and pattern completion. Recent work based on new technologies in both nanoanatomy and nanophysiology, including presynaptic patch-clamp recording, paired recording, super-resolution light microscopy, and freeze-fracture and “flash-and-freeze” electron microscopy, has provided new insights into the structure, biophysics, and network function of this intriguing synapse. This brings us one step closer to answering a fundamental question in neuroscience: how basic synaptic properties shape higher network computations.' acknowledgement: "We thank previous students, postdocs, and collaborators, particularly J. Geiger, and (in alphabetical order) H. Alle, J. Bischofberger, C. Borges-Merjane, D. Engel, M. Frotscher, S. Hallermann, M. Heckmann, S. Jamrichova, O. Kim, L. Li, K. Lichter, P. Lin, J. Lübke, Y. Okamoto, C. Pawlu, C. Schmidt-Hieber, N. Spruston, and N. Vyleta for their outstanding experimental contributions. We also thank P. Castillo, J. Geiger, T. Sakaba, S. Siegert, T. Vogels, and J. Watson for critically reading the manuscript, E. Kralli-Beller for text editing, and J. Malikovic and L. Slomianka for useful discussions. We apologize that, due to space constraints, not all relevant papers could be cited.\r\nThis project was supported by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement 692692, AdG “GIANTSYN”) and the Fonds zur Förderung der Wissenschaftlichen Forschung (Z 312-B27, Wittgenstein Award; P 36232-B, stand-alone grant), both to P.J." article_processing_charge: No article_type: review author: - first_name: David H full_name: Vandael, David H id: 3AE48E0A-F248-11E8-B48F-1D18A9856A87 last_name: Vandael orcid: 0000-0001-7577-1676 - first_name: Peter M full_name: Jonas, Peter M id: 353C1B58-F248-11E8-B48F-1D18A9856A87 last_name: Jonas orcid: 0000-0001-5001-4804 citation: ama: Vandael DH, Jonas PM. Structure, biophysics, and circuit function of a “giant” cortical presynaptic terminal. Science. 2024;383(6687):eadg6757. doi:10.1126/science.adg6757 apa: Vandael, D. H., & Jonas, P. M. (2024). Structure, biophysics, and circuit function of a “giant” cortical presynaptic terminal. Science. AAAS. https://doi.org/10.1126/science.adg6757 chicago: Vandael, David H, and Peter M Jonas. “Structure, Biophysics, and Circuit Function of a ‘Giant’ Cortical Presynaptic Terminal.” Science. AAAS, 2024. https://doi.org/10.1126/science.adg6757. ieee: D. H. Vandael and P. M. Jonas, “Structure, biophysics, and circuit function of a ‘giant’ cortical presynaptic terminal,” Science, vol. 383, no. 6687. AAAS, p. eadg6757, 2024. ista: Vandael DH, Jonas PM. 2024. Structure, biophysics, and circuit function of a ‘giant’ cortical presynaptic terminal. Science. 383(6687), eadg6757. mla: Vandael, David H., and Peter M. Jonas. “Structure, Biophysics, and Circuit Function of a ‘Giant’ Cortical Presynaptic Terminal.” Science, vol. 383, no. 6687, AAAS, 2024, p. eadg6757, doi:10.1126/science.adg6757. short: D.H. Vandael, P.M. Jonas, Science 383 (2024) eadg6757. date_created: 2024-03-17T23:00:57Z date_published: 2024-03-08T00:00:00Z date_updated: 2024-03-20T07:42:52Z day: '08' department: - _id: PeJo doi: 10.1126/science.adg6757 ec_funded: 1 external_id: pmid: - '38452088' intvolume: ' 383' issue: '6687' language: - iso: eng month: '03' oa_version: None page: eadg6757 pmid: 1 project: - _id: 25B7EB9E-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '692692' name: Biophysics and circuit function of a giant cortical glumatergic synapse - _id: 25C5A090-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z00312 name: The Wittgenstein Prize - _id: bd88be38-d553-11ed-ba76-81d5a70a6ef5 grant_number: P36232 name: Mechanisms of GABA release in hippocampal circuits publication: Science publication_identifier: eissn: - 1095-9203 publication_status: published publisher: AAAS quality_controlled: '1' scopus_import: '1' status: public title: Structure, biophysics, and circuit function of a "giant" cortical presynaptic terminal type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 383 year: '2024' ... --- _id: '15094' abstract: - lang: eng text: "Point sets, geometric networks, and arrangements of hyperplanes are fundamental objects in\r\ndiscrete geometry that have captivated mathematicians for centuries, if not millennia. This\r\nthesis seeks to cast new light on these structures by illustrating specific instances where a\r\ntopological perspective, specifically through discrete Morse theory and persistent homology,\r\nprovides valuable insights.\r\n\r\nAt first glance, the topology of these geometric objects might seem uneventful: point sets\r\nessentially lack of topology, arrangements of hyperplanes are a decomposition of Rd, which\r\nis a contractible space, and the topology of a network primarily involves the enumeration\r\nof connected components and cycles within the network. However, beneath this apparent\r\nsimplicity, there lies an array of intriguing structures, a small subset of which will be uncovered\r\nin this thesis.\r\n\r\nFocused on three case studies, each addressing one of the mentioned objects, this work\r\nwill showcase connections that intertwine topology with diverse fields such as combinatorial\r\ngeometry, algorithms and data structures, and emerging applications like spatial biology.\r\n\r\n" alternative_title: - ISTA Thesis article_processing_charge: No author: - first_name: Sebastiano full_name: Cultrera di Montesano, Sebastiano id: 34D2A09C-F248-11E8-B48F-1D18A9856A87 last_name: Cultrera di Montesano orcid: 0000-0001-6249-0832 citation: ama: Cultrera di Montesano S. Persistence and Morse theory for discrete geometric structures. 2024. doi:10.15479/at:ista:15094 apa: Cultrera di Montesano, S. (2024). Persistence and Morse theory for discrete geometric structures. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:15094 chicago: Cultrera di Montesano, Sebastiano. “Persistence and Morse Theory for Discrete Geometric Structures.” Institute of Science and Technology Austria, 2024. https://doi.org/10.15479/at:ista:15094. ieee: S. Cultrera di Montesano, “Persistence and Morse theory for discrete geometric structures,” Institute of Science and Technology Austria, 2024. ista: Cultrera di Montesano S. 2024. Persistence and Morse theory for discrete geometric structures. Institute of Science and Technology Austria. mla: Cultrera di Montesano, Sebastiano. Persistence and Morse Theory for Discrete Geometric Structures. Institute of Science and Technology Austria, 2024, doi:10.15479/at:ista:15094. short: S. Cultrera di Montesano, Persistence and Morse Theory for Discrete Geometric Structures, Institute of Science and Technology Austria, 2024. date_created: 2024-03-08T15:28:10Z date_published: 2024-03-08T00:00:00Z date_updated: 2024-03-20T09:36:57Z day: '08' ddc: - '514' - '500' - '516' degree_awarded: PhD department: - _id: GradSch - _id: HeEd doi: 10.15479/at:ista:15094 ec_funded: 1 file: - access_level: open_access checksum: 1e468bfa42a7dcf04d89f4dadc621c87 content_type: application/pdf creator: scultrer date_created: 2024-03-14T08:55:07Z date_updated: 2024-03-14T08:55:07Z file_id: '15112' file_name: Thesis Sebastiano.pdf file_size: 4106872 relation: main_file success: 1 - access_level: closed checksum: bcbd213490f5a7e68855a092bbce93f1 content_type: application/zip creator: scultrer date_created: 2024-03-14T08:56:24Z date_updated: 2024-03-14T14:14:35Z file_id: '15113' file_name: Thesis (1).zip file_size: 4746234 relation: source_file file_date_updated: 2024-03-14T14:14:35Z has_accepted_license: '1' language: - iso: eng license: https://creativecommons.org/licenses/by-nc-sa/4.0/ month: '03' oa: 1 oa_version: Published Version page: '108' project: - _id: 266A2E9E-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '788183' name: Alpha Shape Theory Extended - _id: 268116B8-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z00342 name: The Wittgenstein Prize - _id: 0aa4bc98-070f-11eb-9043-e6fff9c6a316 grant_number: I4887 name: Discretization in Geometry and Dynamics - _id: 2561EBF4-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: I02979-N35 name: Persistence and stability of geometric complexes publication_identifier: issn: - 2663 - 337X publication_status: published publisher: Institute of Science and Technology Austria related_material: record: - id: '11660' relation: part_of_dissertation status: public - id: '11658' relation: part_of_dissertation status: public - id: '13182' relation: part_of_dissertation status: public - id: '15090' relation: part_of_dissertation status: public - id: '15091' relation: part_of_dissertation status: public - id: '15093' relation: part_of_dissertation status: public status: public supervisor: - first_name: Herbert full_name: Edelsbrunner, Herbert id: 3FB178DA-F248-11E8-B48F-1D18A9856A87 last_name: Edelsbrunner orcid: 0000-0002-9823-6833 title: Persistence and Morse theory for discrete geometric structures tmp: image: /images/cc_by_nc_sa.png legal_code_url: https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode name: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) short: CC BY-NC-SA (4.0) type: dissertation user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9 year: '2024' ... --- _id: '15093' abstract: - lang: eng text: We present a dynamic data structure for maintaining the persistent homology of a time series of real numbers. The data structure supports local operations, including the insertion and deletion of an item and the cutting and concatenating of lists, each in time O(log n + k), in which n counts the critical items and k the changes in the augmented persistence diagram. To achieve this, we design a tailor-made tree structure with an unconventional representation, referred to as banana tree, which may be useful in its own right. acknowledgement: The first and second authors are funded by the European Research Council under the European Union’s Horizon 2020 research and innovation programme, ERC grant no. 788183,“Alpha Shape Theory Extended (Alpha)”, by the Wittgenstein Prize, FWF grant no. Z 342-N31, and by the DFG Collaborative Research Center TRR 109, FWF grant no. I 02979-N35.The third author received funding by the European Research Council under the European Union’s Horizon 2020research and innovation programme, ERC grant no. 101019564, “The Design of Modern Fully Dynamic DataStructures (MoDynStruct)”, and by the Austrian Science Fund through the Wittgenstein Prize with FWF grant no. Z 422-N, and also by FWF grant no. I 5982-N, and by FWF grant no. P 33775-N, with additional funding from the netidee SCIENCE Stiftung, 2020–2024. The fourth author is funded by the Vienna Graduate School on Computational Optimization, FWF project no. W1260-N35. article_processing_charge: No author: - first_name: Sebastiano full_name: Cultrera di Montesano, Sebastiano id: 34D2A09C-F248-11E8-B48F-1D18A9856A87 last_name: Cultrera di Montesano orcid: 0000-0001-6249-0832 - first_name: Herbert full_name: Edelsbrunner, Herbert id: 3FB178DA-F248-11E8-B48F-1D18A9856A87 last_name: Edelsbrunner orcid: 0000-0002-9823-6833 - first_name: Monika H full_name: Henzinger, Monika H id: 540c9bbd-f2de-11ec-812d-d04a5be85630 last_name: Henzinger orcid: 0000-0002-5008-6530 - first_name: Lara full_name: Ost, Lara last_name: Ost citation: ama: 'Cultrera di Montesano S, Edelsbrunner H, Henzinger MH, Ost L. Dynamically maintaining the persistent homology of time series. In: Woodruff DP, ed. Proceedings of the 2024 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA). Society for Industrial and Applied Mathematics; 2024:243-295. doi:10.1137/1.9781611977912.11' apa: 'Cultrera di Montesano, S., Edelsbrunner, H., Henzinger, M. H., & Ost, L. (2024). Dynamically maintaining the persistent homology of time series. In D. P. Woodruff (Ed.), Proceedings of the 2024 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA) (pp. 243–295). Alexandria, VA, USA: Society for Industrial and Applied Mathematics. https://doi.org/10.1137/1.9781611977912.11' chicago: Cultrera di Montesano, Sebastiano, Herbert Edelsbrunner, Monika H Henzinger, and Lara Ost. “Dynamically Maintaining the Persistent Homology of Time Series.” In Proceedings of the 2024 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), edited by David P. Woodruff, 243–95. Society for Industrial and Applied Mathematics, 2024. https://doi.org/10.1137/1.9781611977912.11. ieee: S. Cultrera di Montesano, H. Edelsbrunner, M. H. Henzinger, and L. Ost, “Dynamically maintaining the persistent homology of time series,” in Proceedings of the 2024 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), Alexandria, VA, USA, 2024, pp. 243–295. ista: 'Cultrera di Montesano S, Edelsbrunner H, Henzinger MH, Ost L. 2024. Dynamically maintaining the persistent homology of time series. Proceedings of the 2024 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA). SODA: Symposium on Discrete Algorigthms, 243–295.' mla: Cultrera di Montesano, Sebastiano, et al. “Dynamically Maintaining the Persistent Homology of Time Series.” Proceedings of the 2024 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), edited by David P. Woodruff, Society for Industrial and Applied Mathematics, 2024, pp. 243–95, doi:10.1137/1.9781611977912.11. short: S. Cultrera di Montesano, H. Edelsbrunner, M.H. Henzinger, L. Ost, in:, D.P. Woodruff (Ed.), Proceedings of the 2024 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), Society for Industrial and Applied Mathematics, 2024, pp. 243–295. conference: end_date: 2024-01-10 location: Alexandria, VA, USA name: 'SODA: Symposium on Discrete Algorigthms' start_date: 2024-01-07 date_created: 2024-03-08T10:27:39Z date_published: 2024-01-04T00:00:00Z date_updated: 2024-03-20T09:36:56Z day: '04' department: - _id: HeEd - _id: MoHe doi: 10.1137/1.9781611977912.11 ec_funded: 1 editor: - first_name: David P. full_name: Woodruff, David P. last_name: Woodruff external_id: arxiv: - '2311.01115' language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/2311.01115 month: '01' oa: 1 oa_version: Preprint page: 243 - 295 project: - _id: 266A2E9E-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '788183' name: Alpha Shape Theory Extended - _id: 268116B8-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z00342 name: The Wittgenstein Prize - _id: bd9ca328-d553-11ed-ba76-dc4f890cfe62 call_identifier: H2020 grant_number: '101019564' name: The design and evaluation of modern fully dynamic data structures - _id: 34def286-11ca-11ed-8bc3-da5948e1613c grant_number: Z00422 name: Wittgenstein Award - Monika Henzinger - _id: bd9e3a2e-d553-11ed-ba76-8aa684ce17fe grant_number: 'P33775 ' name: Fast Algorithms for a Reactive Network Layer publication: Proceedings of the 2024 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA) publication_identifier: eisbn: - '9781611977912' publication_status: published publisher: Society for Industrial and Applied Mathematics quality_controlled: '1' related_material: record: - id: '15094' relation: dissertation_contains status: public status: public title: Dynamically maintaining the persistent homology of time series type: conference user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9 year: '2024' ... --- _id: '15091' abstract: - lang: eng text: "Motivated by applications in the medical sciences, we study finite chromatic\r\nsets in Euclidean space from a topological perspective. Based on the persistent\r\nhomology for images, kernels and cokernels, we design provably stable\r\nhomological quantifiers that describe the geometric micro- and macro-structure\r\nof how the color classes mingle. These can be efficiently computed using\r\nchromatic variants of Delaunay and alpha complexes, and code that does these\r\ncomputations is provided." article_number: '2212.03128' article_processing_charge: No author: - first_name: Sebastiano full_name: Cultrera di Montesano, Sebastiano id: 34D2A09C-F248-11E8-B48F-1D18A9856A87 last_name: Cultrera di Montesano orcid: 0000-0001-6249-0832 - first_name: Ondrej full_name: Draganov, Ondrej id: 2B23F01E-F248-11E8-B48F-1D18A9856A87 last_name: Draganov - first_name: Herbert full_name: Edelsbrunner, Herbert id: 3FB178DA-F248-11E8-B48F-1D18A9856A87 last_name: Edelsbrunner orcid: 0000-0002-9823-6833 - first_name: Morteza full_name: Saghafian, Morteza id: f86f7148-b140-11ec-9577-95435b8df824 last_name: Saghafian citation: ama: Cultrera di Montesano S, Draganov O, Edelsbrunner H, Saghafian M. Chromatic alpha complexes. arXiv. apa: Cultrera di Montesano, S., Draganov, O., Edelsbrunner, H., & Saghafian, M. (n.d.). Chromatic alpha complexes. arXiv. chicago: Cultrera di Montesano, Sebastiano, Ondrej Draganov, Herbert Edelsbrunner, and Morteza Saghafian. “Chromatic Alpha Complexes.” ArXiv, n.d. ieee: S. Cultrera di Montesano, O. Draganov, H. Edelsbrunner, and M. Saghafian, “Chromatic alpha complexes,” arXiv. . ista: Cultrera di Montesano S, Draganov O, Edelsbrunner H, Saghafian M. Chromatic alpha complexes. arXiv, 2212.03128. mla: Cultrera di Montesano, Sebastiano, et al. “Chromatic Alpha Complexes.” ArXiv, 2212.03128. short: S. Cultrera di Montesano, O. Draganov, H. Edelsbrunner, M. Saghafian, ArXiv (n.d.). date_created: 2024-03-08T10:13:59Z date_published: 2024-02-07T00:00:00Z date_updated: 2024-03-20T09:36:56Z day: '07' department: - _id: HeEd external_id: arxiv: - '2212.03128' language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/2212.03128 month: '02' oa: 1 oa_version: Preprint publication: arXiv publication_status: submitted related_material: record: - id: '15094' relation: dissertation_contains status: public status: public title: Chromatic alpha complexes tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: preprint user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9 year: '2024' ... --- _id: '15171' abstract: - lang: eng text: The brain’s functionality is developed and maintained through synaptic plasticity. As synapses undergo plasticity, they also affect each other. The nature of such ‘co-dependency’ is difficult to disentangle experimentally, because multiple synapses must be monitored simultaneously. To help understand the experimentally observed phenomena, we introduce a framework that formalizes synaptic co-dependency between different connection types. The resulting model explains how inhibition can gate excitatory plasticity while neighboring excitatory–excitatory interactions determine the strength of long-term potentiation. Furthermore, we show how the interplay between excitatory and inhibitory synapses can account for the quick rise and long-term stability of a variety of synaptic weight profiles, such as orientation tuning and dendritic clustering of co-active synapses. In recurrent neuronal networks, co-dependent plasticity produces rich and stable motor cortex-like dynamics with high input sensitivity. Our results suggest an essential role for the neighborly synaptic interaction during learning, connecting micro-level physiology with network-wide phenomena. acknowledgement: We thank C. Currin, B. Podlaski and the members of the Vogels group for fruitful discussions. E.J.A. and T.P.V. were supported by a Research Project Grant from the Leverhulme Trust (RPG-2016-446; TPV), a Sir Henry Dale Fellowship from the Wellcome Trust and the Royal Society (WT100000; T.P.V.), a Wellcome Trust Senior Research Fellowship (214316/Z/18/Z; T.P.V.) and a European Research Council Consolidator Grant (SYNAPSEEK, 819603; T.P.V.). For the purpose of open access, the authors have applied a CC BY public copyright license to any author accepted manuscript version arising from this submission. Open access funding provided by University of Basel. article_processing_charge: Yes (via OA deal) article_type: original author: - first_name: Everton J. full_name: Agnes, Everton J. last_name: Agnes - first_name: Tim P full_name: Vogels, Tim P id: CB6FF8D2-008F-11EA-8E08-2637E6697425 last_name: Vogels orcid: 0000-0003-3295-6181 citation: ama: Agnes EJ, Vogels TP. Co-dependent excitatory and inhibitory plasticity accounts for quick, stable and long-lasting memories in biological networks. Nature Neuroscience. 2024. doi:10.1038/s41593-024-01597-4 apa: Agnes, E. J., & Vogels, T. P. (2024). Co-dependent excitatory and inhibitory plasticity accounts for quick, stable and long-lasting memories in biological networks. Nature Neuroscience. Springer Nature. https://doi.org/10.1038/s41593-024-01597-4 chicago: Agnes, Everton J., and Tim P Vogels. “Co-Dependent Excitatory and Inhibitory Plasticity Accounts for Quick, Stable and Long-Lasting Memories in Biological Networks.” Nature Neuroscience. Springer Nature, 2024. https://doi.org/10.1038/s41593-024-01597-4. ieee: E. J. Agnes and T. P. Vogels, “Co-dependent excitatory and inhibitory plasticity accounts for quick, stable and long-lasting memories in biological networks,” Nature Neuroscience. Springer Nature, 2024. ista: Agnes EJ, Vogels TP. 2024. Co-dependent excitatory and inhibitory plasticity accounts for quick, stable and long-lasting memories in biological networks. Nature Neuroscience. mla: Agnes, Everton J., and Tim P. Vogels. “Co-Dependent Excitatory and Inhibitory Plasticity Accounts for Quick, Stable and Long-Lasting Memories in Biological Networks.” Nature Neuroscience, Springer Nature, 2024, doi:10.1038/s41593-024-01597-4. short: E.J. Agnes, T.P. Vogels, Nature Neuroscience (2024). date_created: 2024-03-24T23:01:00Z date_published: 2024-03-20T00:00:00Z date_updated: 2024-03-25T07:04:05Z day: '20' department: - _id: TiVo doi: 10.1038/s41593-024-01597-4 ec_funded: 1 language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.1038/s41593-024-01597-4 month: '03' oa: 1 oa_version: Published Version project: - _id: 0aacfa84-070f-11eb-9043-d7eb2c709234 call_identifier: H2020 grant_number: '819603' name: Learning the shape of synaptic plasticity rules for neuronal architectures and function through machine learning. publication: Nature Neuroscience publication_identifier: eissn: - 1546-1726 issn: - 1097-6256 publication_status: epub_ahead publisher: Springer Nature quality_controlled: '1' scopus_import: '1' status: public title: Co-dependent excitatory and inhibitory plasticity accounts for quick, stable and long-lasting memories in biological networks type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2024' ...