Get Involved: SIGs, Sections, & Regional Chapters

INNS members are invited to get involved and join Special Interest Groups (SIGs), Sections, & Regional Chapters.

Special Interest Groups (SIGs)

The history of SIGs

SIGs were self-organized using sign-on sheets posted on conference hallways at the first INNS meeting in Boston and in consequent INNS and IJCNN meetings. SIG-related evening gatherings, end-of-the-day talks with informal contributions, short set pieces, and dinners have been colorful activities at most conferences. Learn more here.

Overview of SIGs by Research Fields

Bio-inspired Vision SIG

Bioinformatics and Intelligence SIG

Biological Neural Networks SIG(proposed)

 Biomedical Applications SIG
 Brain Modeling & Neuroscience SIG
 Computational Intelligence in Earth and
Environmental Sciences SIG
 Embedded and Cognitive Robotics SIG
 Engineering Applications of Neural
Networks SIG (EANN)
 Intelligent Devices SIG 
 Mental Function and Dysfunction SIG  Neurodynamics & Intentionality SIG  Parabiotics SIG
 Spiking Neural Networks SIG (new)  Student SIG (proposed)  Women in Science and Engineering SIG (new)



Sections are formed by the BoG as a vehicle to organize events and discussion about a current topic in neural networks. Advantages of sections and section membership include: special tracks during conferences, dedicated space in INNS publications, active recruitment, and potential for new conferences and events.

Click below to learn about the three INNS Sections:

Please note: membership in INNS is required in order to join the XIA, AML, and/or BDA Section. 

INNS Regional Chapters

If your area has an INNS chapter, consider attending a meeting or event. If your area does not have a local chapter, consider forming one. To learn more about chapters, please feel free to contact the VP of Membership, Seiichi Ozawa.

Australia Brazil Brunei
India Italy
Morocco New Zealand
Peru Texas (USA) Thailand

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Educational Resources

Visit the KEEPCourse website for courses related to machine learning, big data, neural networks, neural physiology, neural anatomy, cognitive science, and neuroscience.