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1000 results for “sanjay_ankur”
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How's Friday going folks? I've been working on standardising the #Purkinje Cell model from Zang et al 2018 to #NeuroML. Exported the morphology already, on to the converting the individual Ion channels next.
You can use the converted bits from here: https://github.com/sanjayankur31/ZangEtAl2018/tree/development
#Neuroscience #ComputationalNeuroscience #Modelling #ComputationalModelling #Cerebellum
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How's Friday going folks? I've been working on standardising the #Purkinje Cell model from Zang et al 2018 to #NeuroML. Exported the morphology already, on to the converting the individual Ion channels next.
You can use the converted bits from here: https://github.com/sanjayankur31/ZangEtAl2018/tree/development
#Neuroscience #ComputationalNeuroscience #Modelling #ComputationalModelling #Cerebellum
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How's Friday going folks? I've been working on standardising the #Purkinje Cell model from Zang et al 2018 to #NeuroML. Exported the morphology already, on to the converting the individual Ion channels next.
You can use the converted bits from here: https://github.com/sanjayankur31/ZangEtAl2018/tree/development
#Neuroscience #ComputationalNeuroscience #Modelling #ComputationalModelling #Cerebellum
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How's Friday going folks? I've been working on standardising the #Purkinje Cell model from Zang et al 2018 to #NeuroML. Exported the morphology already, on to the converting the individual Ion channels next.
You can use the converted bits from here: https://github.com/sanjayankur31/ZangEtAl2018/tree/development
#Neuroscience #ComputationalNeuroscience #Modelling #ComputationalModelling #Cerebellum
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How's Friday going folks? I've been working on standardising the #Purkinje Cell model from Zang et al 2018 to #NeuroML. Exported the morphology already, on to the converting the individual Ion channels next.
You can use the converted bits from here: https://github.com/sanjayankur31/ZangEtAl2018/tree/development
#Neuroscience #ComputationalNeuroscience #Modelling #ComputationalModelling #Cerebellum
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https://www.biorxiv.org/content/10.1101/2023.12.07.570537v1
The #NeuroML ecosystem for standardized multi-scale modeling in neuroscience
#ComputationalNeuroscience #Neuroscience #Modelling #ComputationalModelling #AcademicChatter
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https://www.biorxiv.org/content/10.1101/2023.12.07.570537v1
The #NeuroML ecosystem for standardized multi-scale modeling in neuroscience
#ComputationalNeuroscience #Neuroscience #Modelling #ComputationalModelling #AcademicChatter
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https://www.biorxiv.org/content/10.1101/2023.12.07.570537v1
The #NeuroML ecosystem for standardized multi-scale modeling in neuroscience
#ComputationalNeuroscience #Neuroscience #Modelling #ComputationalModelling #AcademicChatter
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https://www.biorxiv.org/content/10.1101/2023.12.07.570537v1
The #NeuroML ecosystem for standardized multi-scale modeling in neuroscience
#ComputationalNeuroscience #Neuroscience #Modelling #ComputationalModelling #AcademicChatter
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https://www.biorxiv.org/content/10.1101/2023.12.07.570537v1
The #NeuroML ecosystem for standardized multi-scale modeling in neuroscience
#ComputationalNeuroscience #Neuroscience #Modelling #ComputationalModelling #AcademicChatter
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#NeuroML supports all stages of the modelling life-cycle with a vast ecosystem of software tools: creating (#pyNeuroML, #neuroConstruct, #NEURON, #NetPyNE, #PyNN, #N2A), validating (pyNeuroML, #OMV, #SciUnit), visualising (pyNeuroML, #OSB, #NeuroML-DB), simulating (#NEURON, #NetPyNE, #Brian, #PyNN, #NEST, #MOOSE, #EDEN), model fitting/optimisation (#NeuroTune, #BluePyOpt, NetPyNE), sharing and reusing of models (OSB, NeuroML-DB, #NeuroMorpho.org). 7/x
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‘Daylight robbery’: two in five UK teachers work 26 hours for free each week | Teachers' workload | The Guardian
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#NeuroML is participating in #GSoC2025 again this year under @INCF . We're looking for people with some experience of #ComputationalNeuroscience to work on developing #standardised biophysically detailed computational models using #NeuroML #PyNN and #OpenSourceBrain.
Please spread the word, especially to students interested in modelling. We will help them learn the NeuroML ecosystem so they can use its standardised pipeline in their work.
https://docs.neuroml.org/NeuroMLOrg/OutreachTraining.html#google-summer-of-code
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A number of software tools are available for construction and simulation of models: #NEURON, #NetPyNE, #Brian, #PyNN, #NEST, #MOOSE, #EDEN etc. These have their own features, styles, programming interfaces (APIs). This is great but it also means that researchers need to learn each of these individually to use them. It also means that tools and models developed for one don’t necessarily work for others and need to be manually converted. This is often a non-trivial task and limits model reuse. 3/x
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We're looking for candidates to work with us at #GSoC2023 on conversion of published #ComputationalNeuroscience models into #NeuroML and #PyNN standard formats. Please spread the word, and get in touch!
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Building detailed neuronal models is hard---#NeuroML helps, but there’s still a steep learning curve. We're investigating how #LLMs can be used to create natural language interfaces to improve accessibility:
- #RAG for NeuroML: learn from and query curated information sources
- iterative LLM assisted code/model generation: modelling, validation, and simulationMore details in the post:
#Neuroscience #ComputationalNeuroscience #AcademicChatter #LangChain
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Updated #TaskJuggler to the latest version in my #COPR repository for @fedora :
https://copr.fedorainfracloud.org/coprs/ankursinha/rubygem-taskjuggler/
TaskJuggler is an Open Source project management tool. It's full of great features---scheduling, resource allocation, gannt charts, reports and reporting, all of it. See the documentation here: https://taskjuggler.org/documentation.html
I use it to manage all my work projects, and it's a real boon. Give it a go!
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I use pushd/popd quite a bit to navigate directories. I've also been using #fzf quite a bit with and without #vim. It's Alt + C mapping for the terminal is awesome. So I went ahead and created a new Alt + P mapping that does the same thing but uses #pushd instead of #cd. Here's the tweak to my `~/.bashrc` if anyone else wants to do it too:
https://github.com/sanjayankur31/100_dotfiles/commit/ae2a168ce18f9c849244e75a0fc94678f760dd0c
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Standardized measurements for monitoring and comparing multiphoton microscope systems | Nature Protocols:
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Quick note: if you are using #Duplicity (even via #DejaDup), we're seeing a bug with the new version 3.0.6 where it doesn't recognise the encryption password. Reported upstream here:
https://gitlab.com/duplicity/duplicity/-/issues/901
So, do if you see this issue too, downgrade to 3.0.5. On @fedora , this would be `sudo dnf downgrade duplicity`.
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If you're using a #QT #Webengine based browser like me (@qutebrowser or #Falkon), #Elsevier 's #ScienceDirect website may cause issues because they "only support the last 3 releases" of most browsers. Luckily, they use the user agent to detect the browser. So, a workaround is to use something like this, with a new enough version for the #Chrome version:
Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) QtWebEngine/6.8.2 Chrome/132.0.0.0 Safari/537.36
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The latest release of #PyNeuroML, 1.3.9, includes `pynml-swc2nml` for conversion of #SWC neuronal morphologies to #NeuroML. Also accessible via the API:
Install it using pip:
https://pypi.org/project/pyNeuroML/1.3.9/
#NeuroML #ComputationalNeuroscience #NeuronalModelling #FAIR #Neuroscience #AcademicChatter
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The latest release of #PyNeuroML, 1.3.9, includes `pynml-swc2nml` for conversion of #SWC neuronal morphologies to #NeuroML. Also accessible via the API:
Install it using pip:
https://pypi.org/project/pyNeuroML/1.3.9/
#NeuroML #ComputationalNeuroscience #NeuronalModelling #FAIR #Neuroscience #AcademicChatter
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The latest release of #PyNeuroML, 1.3.9, includes `pynml-swc2nml` for conversion of #SWC neuronal morphologies to #NeuroML. Also accessible via the API:
Install it using pip:
https://pypi.org/project/pyNeuroML/1.3.9/
#NeuroML #ComputationalNeuroscience #NeuronalModelling #FAIR #Neuroscience #AcademicChatter
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How do you manage your task list? If you're not happy with your current setup, give #Taskwarrior a try---it's a really lean, simple yet powerful and extensible tool for managing tasks. It also includes in-built syncing features so that you can use across multiple devices.
Recently, I needed to split tasks into smaller tasks. I came up with a quick script:
https://ankursinha.in/2025/07/05/splitting-taskwarrior-tasks-to-sub-tasks.html
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Moved to a new #Syncthing indicator #Gnome #extension that works well:
https://extensions.gnome.org/extension/1070/syncthing-indicator/(The previous one I was using doesn't support the latest Gnome version)
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Note to self for the nth time: pytest-xdist and pytests `-s` are NOT compatible.
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#Taskwarrior users: how do you use the `start` and `stop` workflow? I want to keep track of tasks that are "in-progress", but it seems that it requires one to `start` a task and then leave it running until it's `done`---stopping a task removes the start date and `task active` no longer shows the task.
An alternative is to use a special tag, like `+wip` that is separate from the `start`/`stop` workflow.
I use #Timewarrior to track the time spent on different tasks.
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Lots of #podcast listens this year. #AntennaPodEcho #ConanOBrienNeedsAFriend #SherlockAndCo #RockSolid #smartless #RobBrydon