1. An online adaptive screening procedure for selective neuronal responses.
- Author
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Knieling S, Niediek J, Kutter E, Bostroem J, Elger CE, and Mormann F
- Subjects
- Brain physiopathology, Electrodes, Implanted, Epilepsy, Temporal Lobe physiopathology, Humans, Retrospective Studies, Software, Action Potentials, Algorithms, Brain physiology, Neurons physiology, Signal Processing, Computer-Assisted
- Abstract
Background: A common problem in neurophysiology is to identify stimuli that elicit neuronal responses in a given brain region. Particularly in situations where electrode positions are fixed, this can be a time-consuming task that requires presentation of a large number of stimuli. Such a screening for response-eliciting stimuli is employed, e.g., as a standard procedure to identify 'concept cells' in the human medial temporal lobe., New Method: Our new method evaluates neuronal responses to stimuli online during a screening session, which allows us to successively exclude stimuli that do not evoke a response. Using this method, we can screen a larger number of stimuli which in turn increases the chances of finding responsive neurons and renders time-consuming offline analysis unnecessary., Results: Our method enabled us to present 30% more stimuli in the same period of time with additional presentations of the most promising candidate stimuli. Our online method ran smoothly on a standard computer and network., Comparison With an Existing Method: To analyze how our online screening procedure performs in comparison to an established offline method, we used the Wave_Clus software package. We did not observe any major drawbacks in our method, but a much higher efficiency and analysis speed., Conclusions: By transitioning from a traditional offline screening procedure to our new online method, we substantially increased the number of visual stimuli presented in a given time period. This allows to identify more response-eliciting stimuli, which forms the basis to better address a great number of questions in cognitive neuroscience., (Copyright © 2017 Elsevier B.V. All rights reserved.)
- Published
- 2017
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