[Incf-ocns-software-wg] Software WG: Software Highlight: Dendrify, a framework for incorporating dendrites to spiking neural networks

[Ankur Sinha]

Dear all,

A reminder of tomorrow's software highlight on Dendrify. We hope to see
you all there.

On Mon, Jan 30, 2023 10:58:06 +0000, Ankur Sinha wrote:
> Dear all,
> 
> Apologies for the cross-posts.
> 
> Please join us for the INCF/OCNS Software Working Group's next Software
> Highlight session:
> 
> https://ocns.github.io/SoftwareWG/2023/01/27/dev-session-michalis-pagkalos-dendrify.html
> 
> Michalis Pagkalos will introduce and discuss Dendrify, a framework for
> incorporating dendrites to spiking neural networks, in this session.
> 
> - Date: February 7, 1600 UTC (Click here to see your local time[1]) (Add to calendar[2]).
> - Zoom: https://ucl.zoom.us/j/91907842769?pwd=bnEzTU9Eem9SRmthSjJIRElFZ0xwUT09
> 
> The abstract for the talk is below:
> 
> Current SNNs studies frequently ignore dendrites, the thin membranous
> extensions of biological neurons that receive and preprocess nearly all
> synaptic inputs in the brain. However, decades of experimental and
> theoretical research suggest that dendrites possess compelling
> computational capabilities that greatly influence neuronal and circuit
> functions. Notably, standard point-neuron networks cannot adequately
> capture most hallmark dendritic properties. Meanwhile, biophysically
> detailed neuron models can be suboptimal for practical applications due
> to their complexity, and high computational cost. For this reason, we
> introduce Dendrify, a new theoretical framework combined with an
> open-source Python package (compatible with Brian2) that facilitates the
> development of bioinspired SNNs. Dendrify allows the creation of reduced
> compartmental neuron models with simplified yet biologically relevant
> dendritic and synaptic integrative properties. Such models strike a good
> balance between flexibility, performance, and biological accuracy,
> allowing us to explore dendritic contributions to network-level
> functions while paving the way for developing more realistic
> neuromorphic systems.
> 
> - Manuscript: Introducing the Dendrify framework for incorporating dendrites to spiking neural networks | Nature Communications [3]
> - Source code: Poirazi-Lab/dendrify: Introducing dendrites to spiking neural networks. Designed for the Brian 2 simulator [4].
> - Documentation: https://dendrify.readthedocs.io/en/latest/
> 
> 
> [1] https://www.timeanddate.com/worldclock/fixedtime.html?msg=Software+Highlight%3A+Michalis+Pagkalos%3A+Dendrify&iso=20230207T16&p1=1440
> [2] https://ocns.github.io/SoftwareWG/extras/ics/20230207-dendrify.ics
> [3] https://www.nature.com/articles/s41467-022-35747-8
> [4] https://github.com/Poirazi-Lab/dendrify
> 
> 
> Please subscribe to the working group's mailing list for reminders, more
> updates, and to contact us:
> https://ocns.github.io/SoftwareWG/pages/contact.html
> 
> On behalf of the working group,
> 
> -- 
> Thanks,
> Regards,
> Ankur Sinha (He / Him / His) | https://ankursinha.in
> Research Fellow at the Silver Lab, University College London | http://silverlab.org/
> Free/Open source community volunteer at the NeuroFedora project | https://neuro.fedoraproject.org
> Time zone: Europe/London



-- 
Thanks,
Regards,
Ankur Sinha (He / Him / His) | https://ankursinha.in
Time zone: Europe/London
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