Robustness of neuroprosthetic decoding algorithms

Biological cybernetics
Mijail D SerruyaJohn P Donoghue

Abstract

We assessed the ability of two algorithms to predict hand kinematics from neural activity as a function of the amount of data used to determine the algorithm parameters. Using chronically implanted intracortical arrays, single- and multineuron discharge was recorded during trained step tracking and slow continuous tracking tasks in macaque monkeys. The effect of increasing the amount of data used to build a neural decoding model on the ability of that model to predict hand kinematics accurately was examined. We evaluated how well a maximum-likelihood model classified discrete reaching directions and how well a linear filter model reconstructed continuous hand positions over time within and across days. For each of these two models we asked two questions: (1) How does classification performance change as the amount of data the model is built upon increases? (2) How does varying the time interval between the data used to build the model and the data used to test the model affect reconstruction? Less than 1 min of data for the discrete task (8 to 13 neurons) and less than 3 min (8 to 18 neurons) for the continuous task were required to build optimal models. Optimal performance was defined by a cost function we derived that reflect...Continue Reading

Citations

Dec 13, 2005·Annals of Biomedical Engineering·S G MasonG E Birch
May 19, 2006·Annals of Biomedical Engineering·M M Moore JacksonG E Birch
Nov 23, 2006·Annals of Biomedical Engineering·S G MasonG E Birch
Aug 26, 2006·Medical & Biological Engineering & Computing·Kyung Hwan KimSung June Kim
Dec 7, 2007·Journal of Neural Engineering·Eric A PohlmeyerLee E Miller
Jul 22, 2011·Journal of Neural Engineering·Cynthia A ChestekKrishna V Shenoy
Dec 16, 2005·Neural Computation·Wei WuMichael J Black
Sep 18, 2012·PloS One·Benjamin I RapoportRahul Sarpeshkar
Mar 19, 2011·The Journal of Neuroscience : the Official Journal of the Society for Neuroscience·Weiguo Song, Simon F Giszter
Nov 6, 2007·The Journal of Neuroscience : the Official Journal of the Society for Neuroscience·Andrew H FaggLee E Miller
Nov 29, 2011·World Neurosurgery·Roy A E Bakay, Prasad S S V Vannemreddy
Apr 13, 2010·Neural Networks : the Official Journal of the International Neural Network Society·Hidekazu KanekoIchiro Fujita
Jun 10, 2008·Behavioural Brain Research·Mijail Demian Serruya, Michael J Kahana
Jul 8, 2008·Journal of Neuroscience Methods·Frank Wood, Michael J Black
May 1, 2009·IEEE Transactions on Bio-medical Engineering·Hyun-Chool ShinNitish V Thakor
Jul 1, 2008·IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society·Wei Wu, Nicholas G Hatsopoulos
Aug 12, 2009·IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society·Andrew H FaggNicholas G Hatsopoulos
Jun 11, 2004·IEEE Transactions on Bio-medical Engineering·Caleb KemereTeresa H Meng
Aug 6, 2003·IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society·Daryl R KipkeJamille F Hetke
Aug 16, 2005·Journal of Neuroscience Methods·Kyung Hwan KimSung June Kim
Apr 10, 2015·Neuron·Karen A Moxon, Guglielmo Foffani
May 18, 2006·Journal of Neural Engineering·Remy WahnounStephen I Helms Tillery
Jul 21, 2010·Journal of Neural Engineering·D J Herzfeld, S A Beardsley
Apr 6, 2007·Journal of Neural Engineering·Ali BashashatiGary E Birch
Apr 12, 2013·Journal of Neural Engineering·János A PergeLeigh R Hochberg
May 10, 2013·Journal of Neurophysiology·Anil CherianLee E Miller
Mar 10, 2017·Physiological Reviews·Mikhail A Lebedev, Miguel A L Nicolelis
Apr 1, 2007·The Behavior Analyst·Maria Teresa Araujo SilvaMiriam Garcia-Mijares
Sep 28, 2006·The Journal of the American Academy of Orthopaedic Surgeons·Roy K AaronMichael G Ehrlich
Nov 21, 2018·Frontiers in Neuroscience·Alex K VaskovCynthia A Chestek
Oct 16, 2004·Stroke; a Journal of Cerebral Circulation·Gerhard M FriehsJohn P Donoghue

❮ Previous
Next ❯

Related Concepts

Related Feeds

BRAIN Initiative Cell Census Network (BICCN)

The BRAIN Initiative Cell Census Network aims to identify and provide experimental access to the different brain cell types to determine their roles in health and disease. Discover the latest research from researchers in the BRAIN Initiative Cell Census Network here.