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Workshop at COMBINE 2020

Standardised neuronal network specifications

This workshop will be held during a Breakout session of the COMBINE 2020 online conference.

COMBINE020 Workshop

Description

Many biophysical neuronal network simulations contain descriptions of structured connectivity between groups of neuronal elements (e.g. cells, populations, brain areas). These can be specified in many ways, often in formats quite closely tied to the simulator’s internal data model.

Extracting these network descriptions, to allow the network structure to be visualised, analysed, shared, and importantly compared with other network models and anatomical data, is a key part of maximising their usefulness as scientific entities.

While procedural creation of networks is common across all simulators (e.g. using Python scripts), there is still a need for a consensus on a declarative, compact, high level format for describing the properties of the networks (i.e. a reusable template for generating instances of the network) which encapsulates the essential biologically relevant features of the modelled system.

This workshop will gather together developers of simulators and interoperability formats to:

  • Gather information on existing (internal) formats being used by simulators for defining network structures
  • Discuss initiatives to make cross simulator formats for exchanging network specifications
  • Decide on future plans to minimise repetition of work, ensure interoperability and maximise usability and accessibility of the formats for end users

This workshop is organised as part of the INCF Special Interest Group (SIG) on Standardised Representations of Network Structures.

Program

Date: Friday October 9 2020

Time: 14:00 - 17:00 UTC (more time zones)

Existing and developing formats and tools for network modelling which will be presented/discussed include:

Practicalities

Details on how to join the online workshop will be available here. The password will be provided to registered COMBINE attendees (registration is free).