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A revised version of the NSF Proposal & Award Policies & Procedures Guide (PAPPG) (NSF 22-1), is effective for proposals submitted, or due, on or after October 4, 2021. Please be advised that, depending on the specified due date, the guidelines contained in NSF 22-1 may apply to proposals submitted in response to this funding opportunity.

NSF-funded workshop will delve into the relationship between brains and computers, June 26-July 16

May 18, 2022

An interdisciplinary group of researchers from academia and industry — including engineers, computer scientists, neuroscientists and behavioral and cognitive scientists  — will gather again this summer in Telluride, Colorado, for the 2022 Telluride Neuromorphic Cognition Engineering Workshop. Neuromorphic engineers design and fabricate artificial neural systems that are modeled after biological nervous systems. Support from the National Science Foundation for over 25 years has seen the evolution and expansion of neuromorphic engineering research from a focus on low-level sensory processing to current emphases on higher-level problems in perception, cognition and learning.

This annual three-week workshop will include background lectures on systems and cognitive neuroscience, practical tutorials and hands-on projects.  This year’s workshop, which is supported in part by NSF’s Science of Learning and Augmented Intelligence program, will cover the following topic areas:

  • Neuromorphic tactile exploration — the design of robots that can explore their surroundings and detect the properties of objects via touch.
  • Lifelong learning at scale: from neuroscience theory to robotic applications — the development and application of algorithms that allow computers to learn continually from their environment.
  • Cross-modality brain signals: auditory, visual and motor — studying the brains of people who are engaged in multisensory activities like watching videos and learning to play music.
  • Neuromorphic tools, techniques and hardware — helping workshop participants learn to use hardware for neuromorphic engineering projects.

“This workshop has a long and successful track-record of advancing and integrating our understanding of biological and artificial systems of learning. Many collaborations catalyzed by the workshop have led to significant technology innovations, and the training of future industry and academic leaders,” says NSF Program Director Soo-Siang Lim.

Opinions, findings or recommendations of NSF awardees or their institutions do not necessarily reflect the views of the National Science Foundation.