Feedback control policies employed by people using intracortical brain–computer interfaces Article Swipe
Francis R. Willett
,
Chethan Pandarinath
,
Beata Jarosiewicz
,
Brian Murphy
,
William D. Memberg
,
Christine H Blabe
,
Jad Saab
,
Benjamin L. Walter
,
Jennifer A. Sweet
,
Jonathan P. Miller
,
Jaimie M. Henderson
,
Krishna V. Shenoy
,
John D. Simeral
,
Leigh R. Hochberg
,
Robert F. Kirsch
,
A. Bolu Ajiboye
·
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.1088/1741-2560/14/1/016001
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.1088/1741-2560/14/1/016001
Objective . When using an intracortical BCI (iBCI), users modulate their neural population activity to move an effector towards a target, stop accurately, and correct for movement errors. We call the rules that govern this modulation a ‘feedback control policy’. A better understanding of these policies may inform the design of higher-performing neural decoders. Approach . We studied how three participants in the BrainGate2 pilot clinical trial used an iBCI to control a cursor in a 2D target acquisition task. Participants used a velocity decoder with exponential smoothing dynamics. Through offline analyses, we characterized the users’ feedback control policies by modeling their neural activity as a function of cursor state and target position. We also tested whether users could adapt their policy to different decoder dynamics by varying the gain (speed scaling) and temporal smoothing parameters of the iBCI. Main results . We demonstrate that control policy assumptions made in previous studies do not fully describe the policies of our participants. To account for these discrepancies, we propose a new model that captures (1) how the user’s neural population activity gradually declines as the cursor approaches the target from afar, then decreases more sharply as the cursor comes into contact with the target, (2) how the user makes constant feedback corrections even when the cursor is on top of the target, and (3) how the user actively accounts for the cursor’s current velocity to avoid overshooting the target. Further, we show that users can adapt their control policy to decoder dynamics by attenuating neural modulation when the cursor gain is high and by damping the cursor velocity more strongly when the smoothing dynamics are high. Significance . Our control policy model may help to build better decoders, understand how neural activity varies during active iBCI control, and produce better simulations of closed-loop iBCI movements.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1088/1741-2560/14/1/016001
- OA Status
- green
- Cited By
- 56
- References
- 42
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2557316459
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2557316459Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1088/1741-2560/14/1/016001Digital Object Identifier
- Title
-
Feedback control policies employed by people using intracortical brain–computer interfacesWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2016Year of publication
- Publication date
-
2016-11-30Full publication date if available
- Authors
-
Francis R. Willett, Chethan Pandarinath, Beata Jarosiewicz, Brian Murphy, William D. Memberg, Christine H Blabe, Jad Saab, Benjamin L. Walter, Jennifer A. Sweet, Jonathan P. Miller, Jaimie M. Henderson, Krishna V. Shenoy, John D. Simeral, Leigh R. Hochberg, Robert F. Kirsch, A. Bolu AjiboyeList of authors in order
- Landing page
-
https://doi.org/10.1088/1741-2560/14/1/016001Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1088/1741-2560/14/1/016001Direct OA link when available
- Concepts
-
Cursor (databases), Computer science, Brain–computer interface, Population, Human–computer interaction, Fitts's law, Smoothing, Artificial intelligence, Task (project management), Computer vision, Electroencephalography, Psychology, Demography, Management, Economics, Sociology, PsychiatryTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
56Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 4, 2024: 8, 2023: 4, 2022: 6, 2021: 5Per-year citation counts (last 5 years)
- References (count)
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42Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| primary_location.raw_source_name | Journal of Neural Engineering |
| primary_location.landing_page_url | https://doi.org/10.1088/1741-2560/14/1/016001 |
| publication_date | 2016-11-30 |
| publication_year | 2016 |
| referenced_works | https://openalex.org/W4253453051, https://openalex.org/W2114004602, https://openalex.org/W2117151438, https://openalex.org/W2166422604, https://openalex.org/W2087704839, https://openalex.org/W2144910141, https://openalex.org/W2243428647, https://openalex.org/W2223658335, https://openalex.org/W2140546948, https://openalex.org/W2127252652, https://openalex.org/W1975792056, https://openalex.org/W2121341398, https://openalex.org/W1978913152, https://openalex.org/W2006285431, https://openalex.org/W2322832061, https://openalex.org/W2126894902, https://openalex.org/W2322730911, https://openalex.org/W1983877267, https://openalex.org/W2125392972, https://openalex.org/W1514606276, https://openalex.org/W2032846114, https://openalex.org/W2328850712, https://openalex.org/W2128675085, https://openalex.org/W1997243535, https://openalex.org/W2020452703, https://openalex.org/W1991833878, https://openalex.org/W2338185500, https://openalex.org/W1966537851, https://openalex.org/W2149331527, https://openalex.org/W2047933600, https://openalex.org/W2101660706, https://openalex.org/W2195367229, https://openalex.org/W2110862341, https://openalex.org/W2151616247, https://openalex.org/W1989951776, https://openalex.org/W1994458657, https://openalex.org/W2099869876, https://openalex.org/W1980440818, https://openalex.org/W2029776687, https://openalex.org/W2062630941, https://openalex.org/W2120741941, https://openalex.org/W2065833894 |
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