Neuroscience Software Development: A Request for Community Input.

We invite members of the Neuroscience Community to share their insights and request their inputs.

This survey seeks to understand the common challenges in developing, maintaining, and facilitating computational neuroscience software.

Your feedback will help us identify shared pain points, opportunities for innovations, potential areas for improvement, and contribute towards building a more user-friendly and sustainable computational neuroscience ecosystem.

We thank you for your time and valuable insights!

First Name
Last Name
Affiliation
Designation
Email

What is/are your primary area(s) of focus in the field of computational neuroscience?

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Required

How relevant is it for a neuro-simulator to enable easy integration of diverse datasets (for e.g., electrophysiological, morphological, genetic) and datatypes into computational models?

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Not at all relevant
Very relevant

How important is it for a neuro-simulator to support the integration of specific components (such as neuron types, ion channels, or synaptic models) from existing computational models?

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Not at all important
Very important

To what extent do you consider the integration of elements from existing models important in your research?

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Not at all important
Very important

What do you believe is/are the key challenge(s) that a computational neuroscience student encounters?

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Required

What kind of resources do you believe would most effectively support beginners in accessing and engaging with computational modelling?

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Required

What kind of learning formats or tools do you find most effective for early-stage learners?

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Required

Please indicate your experience (in years) in the following areas.

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Less than 2
2 - 5
5 - 10
More than 10
Computational Neuroscience Research
Neuroscience Software Developement

Did you ever integrate models or datasets across different neuro-simulators?

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Which data or model repositories and standards do you use often?

(e.g., ModelDB, NeuroMorpho.org, Open Source Brain, NeuroML, SBML, HDF5, etc.)

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Which data or model repositories and standards do you think could be better supported across different neural simulation platforms?  

What challenges have you encountered while attempting to reuse or translate models across different neuro-simulators?

In your opinion, what are the key barriers for beginners in using the existing neuro-simulators effectively?
What features do you feel are missing or need improvement in the existing neuro-simulators?
What do you see as the biggest gap in the existing neuro-simulators that limits accessibility and ease of use?

What do you see as the most impactful next step in order to improve accessibility and usability of a neuro-simulator for beginners?

What innovations would you like to see in the next generation of neuro-simulators?

Any additional comments or suggestions. 
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