File:Current challenges for mesoscopic neural population dynamics and metastability.webm

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Original file(WebM audio/video file, VP8/Vorbis, length 1 h 16 min 0 s, 1,280 × 720 pixels, 234 kbps overall, file size: 127.26 MB)

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English: The presentation by Tilo Schwalger, from the Institut für Mathematik, Technische Universität Berlin, is part of the Pathways to the 2023 IHP thematic project Random Processes in the Brain.

In this seminar, Schwalger talks how mesoscopic neuronal population dynamics deals with emergent neural activity and computations at a coarse-grained spatial scale at which fluctuations due to a finite number of neurons should not be neglected. A prime example is metastable dynamics in cortical and hippocampal circuits, in which fluctuations likely play a critical role. In this lecture, I will discuss recent advances and current challenges for mean-field descriptions of computations and metastable dynamics at the mesoscopic scale. Firstly, I will discuss fundamental differences between external noise and intrinsic "finite-size noise" in population models, and their distinct impact on metastable dynamics. Is it possible to infer the type of metastability and noise from mesoscopic population data? Secondly, I will address the question of how to treat single-neuron dynamics (e.g. refractory mechanisms, adaptation) and synaptic dynamics (e.g. short-term depression) at the level of mesoscopic populations. Is it possible to derive (low-dimensional) bottom-up mesoscopic models that link back to the microscopic properties of spiking neural networks? And thirdly, I will address the fundamental problem of heterogeneity in biological neural networks. An important source of heterogeneity is non-homogeneous network structure. The synaptic connectivity of any neural network that performs computations is structured, e.g. as a result of learning. How can mesoscopic mean-field theories, which so far assumed homogeneous (unstructured) connectivity, be generalized to heterogeneous, structured connectivity?

You can learn more about the Pathways to the 2023 IHP thematic project Random Processes in the Brain on this link: https://rpbihp.numec.prp.usp.br/index.php/Pathways_to_the_2023_IHP_thematic_program_Random_Processes_in_the_Brain
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Source https://www.youtube.com/watch?v=9G_Y62tgJAM
Author CEPID NeuroMat

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RDCI NeuroMat

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This media was produced by NeuroMat and was licensed as Creative Commons BY-SA 4.0. The Research, Innovation and Dissemination Center for Neuromathematics (RIDC NeuroMat) is a Brazilian research center hosted by the University of São Paulo and funded by the São Paulo Research Foundation (FAPESP).

Attribution in English: RIDC NeuroMat
Attribution in Portuguese: CEPID NeuroMat
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Date/TimeThumbnailDimensionsUserComment
current20:18, 14 October 20221 h 16 min 0 s, 1,280 × 720 (127.26 MB)Thaismay (talk | contribs)Uploaded a work by CEPID NeuroMat from https://www.youtube.com/watch?v=9G_Y62tgJAM with UploadWizard

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Format Bitrate Download Status Encode time
VP9 720P 291 kbps Completed 21:14, 14 October 2022 55 min 33 s
Streaming 720p (VP9) 197 kbps Completed 21:20, 4 March 2024 25 s
VP9 480P 200 kbps Completed 20:53, 14 October 2022 34 min 26 s
Streaming 480p (VP9) 106 kbps Completed 09:00, 25 January 2024 7.0 s
VP9 360P 150 kbps Completed 20:39, 14 October 2022 20 min 48 s
Streaming 360p (VP9) 56 kbps Completed 23:37, 5 February 2024 3.0 s
VP9 240P 126 kbps Completed 20:42, 14 October 2022 23 min 20 s
Streaming 240p (VP9) 32 kbps Completed 00:45, 16 December 2023 3.0 s
WebM 360P 258 kbps Completed 20:33, 14 October 2022 15 min 7 s
Streaming 144p (MJPEG) 827 kbps Completed 17:50, 2 November 2023 2 min 45 s
Stereo (Opus) 71 kbps Completed 05:26, 21 November 2023 59 s
Stereo (MP3) 128 kbps Completed 08:40, 1 November 2023 1 min 20 s

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