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type - Required. Pick one of the three options - delete the other two. +project type: [Other] +github link: https://github.com/SpikingNetwork/TrainSpikingNet.jl +documentation link: https://github.com/SpikingNetwork/TrainSpikingNet.jl?tab=readme-ov-file +installation instructions link: https://github.com/SpikingNetwork/TrainSpikingNet.jl?tab=readme-ov-file#installation +preferred contact method: mailto:arthurb@hhmi.org +how to cite text: "Arthur, Kim, Chen, Preibisch, and Darshan (2023), A scalable implementation of the recursive least-squares algorithm for training spiking neural networks" +how to cite link: "https://doi.org/10.3389/fninf.2023.1099510" +image file: ./trainspikingnet.png +image caption: a recurrent neural network +youtube url: https://www.youtube.com/watch?v=VWISCzC2kOs +youtube caption: TrainSpikingNet talk at JuliaCon 2022 +#Optional "tag" fields. Select tags from the provided options - delete the options that are not applicable. If you feel another option is required to describe your project, add it and then note this in your pull request. +development team: + [ + Scientific Computing Software, + ] +programming language: + [ + Julia, + ] +open source license: + [BSD-3 Clause] +software type: + [ + Command line application, + ] +use case: + [ + Calcium imaging, + Electrophysiology, + Modelling, + Neural recording, + ] +usage environment: + [ + HPC cluster, + Local installation, + ] +software ecosystem: + [ + CUDA, + ] +supported file types: + [ + ] +--- + +TrainSpikingNet uses recursive least squares to train fluctation-driven spiking +recurrent neural networks to recapitulate arbitrary temporal activity patterns. From 72089e2811380ab620b5a3852ec0a31f9dfe40e8 Mon Sep 17 00:00:00 2001 From: Allison Truhlar Date: Tue, 16 Jul 2024 10:24:53 -0400 Subject: [PATCH 2/3] chore: format changes from prettier linter --- src/content/projects/trainspikingnet.md | 41 +++++-------------------- 1 file changed, 8 insertions(+), 33 deletions(-) diff --git a/src/content/projects/trainspikingnet.md b/src/content/projects/trainspikingnet.md index 2bfb6b9..8aa6191 100755 --- a/src/content/projects/trainspikingnet.md +++ b/src/content/projects/trainspikingnet.md @@ -15,39 +15,14 @@ image caption: a recurrent neural network youtube url: https://www.youtube.com/watch?v=VWISCzC2kOs youtube caption: TrainSpikingNet talk at JuliaCon 2022 #Optional "tag" fields. Select tags from the provided options - delete the options that are not applicable. If you feel another option is required to describe your project, add it and then note this in your pull request. -development team: - [ - Scientific Computing Software, - ] -programming language: - [ - Julia, - ] -open source license: - [BSD-3 Clause] -software type: - [ - Command line application, - ] -use case: - [ - Calcium imaging, - Electrophysiology, - Modelling, - Neural recording, - ] -usage environment: - [ - HPC cluster, - Local installation, - ] -software ecosystem: - [ - CUDA, - ] -supported file types: - [ - ] +development team: [Scientific Computing Software] +programming language: [Julia] +open source license: [BSD-3 Clause] +software type: [Command line application] +use case: [Calcium imaging, Electrophysiology, Modelling, Neural recording] +usage environment: [HPC cluster, Local installation] +software ecosystem: [CUDA] +supported file types: [] --- TrainSpikingNet uses recursive least squares to train fluctation-driven spiking From 8de6057589ed2bf68ed2d9b2a06e95aa28ec5a1b Mon Sep 17 00:00:00 2001 From: Allison Truhlar Date: Tue, 16 Jul 2024 10:28:15 -0400 Subject: [PATCH 3/3] chore: add new tag options --- .github/actions/validTagsList.json | 2 + src/content/projects/_project-template.md | 133 +++++++++++----------- 2 files changed, 71 insertions(+), 64 deletions(-) diff --git a/.github/actions/validTagsList.json b/.github/actions/validTagsList.json index b1033a4..1018003 100644 --- a/.github/actions/validTagsList.json +++ b/.github/actions/validTagsList.json @@ -57,6 +57,7 @@ "Expansion microscopy (ExM)", "Image registration", "Lightsheet fluorescence microscopy (LFSM)", + "Modelling", "Neural recording", "Segmentation", "Sequence analysis", @@ -76,6 +77,7 @@ "software ecosystem": [ "BigDataViewer", "Blender", + "CUDA", "Fiji", "ImgLib2", "Janelia Workstation", diff --git a/src/content/projects/_project-template.md b/src/content/projects/_project-template.md index c71f855..5e5b0c4 100644 --- a/src/content/projects/_project-template.md +++ b/src/content/projects/_project-template.md @@ -39,86 +39,91 @@ youtube params: "Optional. Supports any YouTube params: https://developers.googl #Optional "tag" fields. Select tags from the provided options - delete the options that are not applicable. If you feel another option is required to describe your project, add it and then note this in your pull request. development team: [ - Branson Lab, - Dudman Lab, - Pachitariu Lab, - Preibisch Lab, - Saalfeld Lab, - Stringer Lab, - Turaga Lab, - CellMap, - FlyEM, - FlyLight, - MouseLight, - MultiFISH, - Scientific Computing Software, + "Ahrens Lab", + "Branson Lab", + "Dudman Lab", + "Pachitariu Lab", + "Preibisch Lab", + "Saalfeld Lab", + "Stringer Lab", + "Turaga Lab", + "CellMap", + "FlyEM", + "FlyLight", + "MouseLight", + "MultiFISH", + "Scientific Computing Software", ] programming language: [ - C++, - Go, - Java, - Julia, - Kotlin, - MATLAB, - Nextflow, - Python, - Javascript, - Typescript, + "C++", + "Go", + "Java", + "Julia", + "Kotlin", + "MATLAB", + "Nextflow", + "Python", + "Javascript", + "Typescript", ] open source license: - [BSD-3 Clause, BSD-2 Clause, CC-by-0, GPL-2.0, GPL-3.0, MIT] + ["BSD-3 Clause", "BSD-2 Clause", "CC-by-0", "GPL-2.0", "GPL-3.0", "MIT"] software type: [ - Command line application, - Fiji plugin, - Framework, - GUI application, - Native application, - Package, - Service, - Web application, - Website, + "Command line application", + "Fiji plugin", + "Framework", + "GUI application", + "Native application", + "Package", + "Service", + "Web application", + "Website", ] use case: [ - Annotation, - Calcium imaging, - Confocal light microscopy (LM), - Containerization, - Correlative light EM (CLEM), - Electron microscopy (EM), - Electrophysiology, - Expansion microscopy (ExM), - Image registration, - Lightsheet fluorescence microscopy (LFSM), - Neural recording, - Segmentation, - Sequence analysis, - Single-molecule localization microscopy (SMLM), - Spatial transcriptomics, - Tool packaging/distribution, + "Annotation", + "Calcium imaging", + "Confocal light microscopy (LM)", + "Containerization", + "Correlative light EM (CLEM)", + "Electron microscopy (EM)", + "Electrophysiology", + "Expansion microscopy (ExM)", + "Image registration", + "Lightsheet fluorescence microscopy (LFSM)", + "Modelling", + "Neural recording", + "Segmentation", + "Sequence analysis", + "Single-molecule localization microscopy (SMLM)", + "Spatial transcriptomics", + "Tool packaging/distribution", + "Visualization", ] usage environment: [ - Cloud, - Google Colab, - HPC cluster, - Jupyter notebook, - Local installation, - Web browser, + "Cloud", + "Google Colab", + "HPC cluster", + "Jupyter notebook", + "Local installation", + "Web browser", ] software ecosystem: [ - BigDataViewer, - Fiji, - ImgLib2, - Janelia Workstation, - Java Virtual Machine, - Napari, - PyTorch, - Spark, - Tensorflow, + "BigDataViewer", + "Blender", + "CUDA", + "Fiji", + "ImgLib2", + "Janelia Workstation", + "Java Virtual Machine", + "Napari", + "PyTorch", + "Spark", + "Tensorflow", ] supported file types: [