Online Event Detection Requirements in Closed-Loop Neuroscience. Varona, P., Arroyo, D., Rodríguez, F., & Nowotny, T. 2016.
abstract   bibtex   
© 2016 Elsevier Inc. All rights reserved. Novel experimental techniques in neuroscience research allow observing and interacting with neural activity at a variety of spatial and temporal scales and provide improved coverage and resolution. However, classical stimulus-response paradigms with offline analysis remain prevalent in most experimental studies. In this chapter, we discuss online event detection requirements in novel experimental protocols using closed-loop technologies that can improve neuroscience experiments in a complementary way to simply enhancing coverage and resolution. Closed-loop methods can help overcome the fundamentally partial observation nature of experimental neuroscience, help reveal neural computation mechanisms in transient neural dynamics, and help bridge between disparate levels of description. We review some examples of effective closed-loop interactions ranging from in vitro experiments to brain-computer interfaces and behavioral studies, and then discuss a common framework for effective online event detection in closed-loop experimental protocols.
@book{
 title = {Online Event Detection Requirements in Closed-Loop Neuroscience},
 type = {book},
 year = {2016},
 source = {Closed Loop Neuroscience},
 identifiers = {[object Object]},
 keywords = {Activity-dependent stimulation,Closed-loop identification,Multiscale observation,Neural event symbolic representation,Real-time event detection},
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 created = {2018-02-18T19:36:36.057Z},
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 abstract = {© 2016 Elsevier Inc. All rights reserved. Novel experimental techniques in neuroscience research allow observing and interacting with neural activity at a variety of spatial and temporal scales and provide improved coverage and resolution. However, classical stimulus-response paradigms with offline analysis remain prevalent in most experimental studies. In this chapter, we discuss online event detection requirements in novel experimental protocols using closed-loop technologies that can improve neuroscience experiments in a complementary way to simply enhancing coverage and resolution. Closed-loop methods can help overcome the fundamentally partial observation nature of experimental neuroscience, help reveal neural computation mechanisms in transient neural dynamics, and help bridge between disparate levels of description. We review some examples of effective closed-loop interactions ranging from in vitro experiments to brain-computer interfaces and behavioral studies, and then discuss a common framework for effective online event detection in closed-loop experimental protocols.},
 bibtype = {book},
 author = {Varona, P. and Arroyo, D. and Rodríguez, F.B. and Nowotny, T.}
}

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