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Advances in Neuroprosthetic Learning and Control

Jose M. Carmena
2013 PLoS Biology  
Essays articulate a specific perspective on a topic of broad interest to scientists.  ...  However, despite this initial enthusiasm and the plethora of available robotic technologies, existing neural interfaces cannot as yet master the control of prosthetic, paralyzed, or otherwise disabled  ...  This method infers the subject's intended movement goals during online control [33] and updates the decoder on an intermediate (1-2 min) time-scale.  ... 
doi:10.1371/journal.pbio.1001561 pmid:23700383 pmcid:PMC3660243 fatcat:4dsqpltmcjdl3hcz7z6swln4ce

Information Systems Opportunities in Brain–Machine Interface Decoders

Jonathan C. Kao, Sergey D. Stavisky, David Sussillo, Paul Nuyujukian, Krishna V. Shenoy
2014 Proceedings of the IEEE  
KEYWORDS | Brain-computer interface (BCI); brain-machine interface (BMI); control algorithm; decode algorithm; intracortical array; neural network; neural prosthesis S. D.  ...  This paper reviews systems that convert neural signals from motor regions of the brain into control signals to guide prosthetic devices, with a particular focus on how computational neuroscience knowledge  ...  Then, during real-time BMI control, also called ''online'' or ''closed-loop'' control, the computer cursor would be causally controlled by the decoder, which uses the subject's real-time neural population  ... 
doi:10.1109/jproc.2014.2307357 fatcat:aq7mgpasprdgvol4melod3izvq

Data-Driven Transducer Design and Identification for Internally-Paced Motor Brain Computer Interfaces: A Review

Marie-Caroline Schaeffer, Tetiana Aksenova
2018 Frontiers in Neuroscience  
Brain-Computer Interfaces (BCIs) are systems that establish a direct communication pathway between the users' brain activity and external effectors.  ...  One of the main challenges of BCI systems is to adapt the BCI's signal translation blocks to the user to reach a high decoding accuracy.  ...  INTRODUCTION Brain-Computer Interfaces (BCIs) are systems that permit their users to utilize their brain activity to control external devices without using their natural neuromuscular pathways (Leuthardt  ... 
doi:10.3389/fnins.2018.00540 pmid:30158847 fatcat:zpm6e55gvfedvhf26xyda4peti

Visbrain: A Multi-Purpose GPU-Accelerated Open-Source Suite for Multimodal Brain Data Visualization

Etienne Combrisson, Raphael Vallat, Christian O'Reilly, Mainak Jas, Annalisa Pascarella, Anne-lise Saive, Thomas Thiery, David Meunier, Dmitrii Altukhov, Tarek Lajnef, Perrine Ruby, Aymeric Guillot (+1 others)
2019 Frontiers in Neuroinformatics  
The object level offers flexible and modular tools to produce and automate the production of figures using an approach similar to that of Matplotlib with subplots.  ...  , Brain for any type of visualization involving a 3D brain and Sleep for polysomnographic data visualization and sleep analysis.  ...  AUTHOR CONTRIBUTIONS EC is the main developer of this software. RV, CO, MJ, AP, AS, TT, DM, TL, and DA contributed in testing and in the development of this software and writing of the article.  ... 
doi:10.3389/fninf.2019.00014 pmid:30967769 pmcid:PMC6439346 fatcat:4lf625ammjefrmh5kajiobgjna

A non-invasive brain-machine interface via independent control of individual motor units [article]

Emanuele Formento, Paul Botros, Jose Carmena
2021 bioRxiv   pre-print
Brain-machine interfaces (BMIs) have the potential to restore independence in people with disabilities, yet a compromise between non-invasiveness and performance limits their translational relevance.  ...  task, with marked improvements in control over 6 days of training.  ...  A, Schematic of the brain-machine interface (BMI) used to enable individual motor unit control of the 121 biceps brachii.  ... 
doi:10.1101/2021.03.22.436518 fatcat:te6a45x52rdhngfdlq27yhlzre

Brain–Machine Interface Engineering

Justin C. Sanchez, José C. Principe
2007 Synthesis Lectures on Biomedical Engineering  
a journey of discovery in new theories for interfacing with the brain.  ...  Beginning with an exploration of the historical developments that have led to the decoding of information from neural interfaces, this book compares the theory and performance of new neural engineering  ...  Journal of Neuroscience, 2005. 25(39): pp. 8815-8824. doi:10.1523/ JNEUROSCI.0816-05.2005 35. Leuthardt, E.C., et al., A brain-computer interface using electrocorticographic signals in humans.  ... 
doi:10.2200/s00053ed1v01y200710bme017 fatcat:jm6kaqyjurgddmssiru2fy435i

Human Intracranial Recordings and Cognitive Neuroscience

Roy Mukamel, Itzhak Fried
2012 Annual Review of Psychology  
A key feature of this operating mechanism is electrical activity of single brain cells and cell assemblies.  ...  For personal use only.  ...  R.M. is supported by a career development award from the International Human Frontier Science Program Organization (HFSPO), and I.F. is supported by grants from the National Institute of Neurological Disorders  ... 
doi:10.1146/annurev-psych-120709-145401 pmid:21943170 fatcat:ocnk3fi5abaobd7k4tii2e7ro4

Heterogeneous Redistribution of Facial Subcategory Information Within and Outside the Face-Selective Domain in Primate Inferior Temporal Cortex

Naohisa Miyakawa, Kei Majima, Hirohito Sawahata, Keisuke Kawasaki, Takeshi Matsuo, Naoki Kotake, Takafumi Suzuki, Yukiyasu Kamitani, Isao Hasegawa
2018 Cerebral Cortex  
These findings support a view that, in contrast to the homogeneous and static coarse category-encoding neural cluster, finer category-encoding clusters are heterogeneously distributed even outside their  ...  Face-encoding neural activity forms a cluster in similar cortical locations regardless of whether it is defined by early evoked low-frequency signals or late-induced high-gamma signals.  ...  Masao Horie for acquisition of unpresented data. Conflict of Interest: Authors declare no conflict of interest.  ... 
doi:10.1093/cercor/bhx342 pmid:29329375 pmcid:PMC6093347 fatcat:fwxjcb6ayzaljj4koa3iaxjbh4

Configuration of electrical spinal cord stimulation through real-time processing of gait kinematics

Marco Capogrosso, Fabien B. Wagner, Jerome Gandar, Eduardo Martin Moraud, Nikolaus Wenger, Tomislav Milekovic, Polina Shkorbatova, Natalia Pavlova, Pavel Musienko, Erwan Bezard, Jocelyne Bloch, Grégoire Courtine
2018 Nature Protocols  
This protocol uses real-time processing of gait kinematics and locomotor performance, and can be configured within a few days.  ...  remain stable up to several months after implantation in rats and nonhuman primates.  ...  W. and T.M., and a Morton Cure Paralysis Fund fellowship to T.M., as well as by the Swiss National Science Foundation, including a Bonus of Excellence (310030B_166674), the National Center of Competence  ... 
doi:10.1038/s41596-018-0030-9 pmid:30190556 fatcat:5mnqmhldxrdepn3palxfbna5a4

EMG-based Simultaneous and Proportional Estimation of Wrist Kinematics and its Application in Intuitive Myoelectric Control for Unilateral transradial Amputees

Farina Dario
2011 Frontiers in Computational Neuroscience  
To address this problem, we used a chronically implanted microdrive with independently movable electrodes to map the depth dependence of spatially tuned local field potentials (LFP) in PFC of Rhesus macaques  ...  ), and EU Grant 269921 (Brain-ScaleS).  ...  Session 7 -Motor Decoding and Brain Machine Interface [S7] Progress toward a high-performance brain-controlled interface Andrew Schwartz abs21@pitt.edu Motorlab, University of Pittsburgh, USA A better  ... 
doi:10.3389/conf.fncom.2011.53.00081 fatcat:nkq5wesfpbcjnikbxqh3v3gtqi

Transformation of Speech Sequences in Human Sensorimotor Circuits [article]

Kathrin Müsch, Kevin Himberger, Kean Ming Tan, Taufik A Valiante, Christopher J Honey
2018 bioRxiv   pre-print
After we listen to a series of words, we can silently replay them in our mind. Does this mental replay involve a re-activation of our original perceptual representations?  ...  For each region, we tested whether silent rehearsal of sentences involved reactivation of sentence-specific representations established during perception or transformation to a distinct representation.  ...  an interface.  ... 
doi:10.1101/419358 fatcat:5m2b67jnjjhxdee6o2iugbtsdq

30th Annual Computational Neuroscience Meeting: CNS*2021–Meeting Abstracts

2021 Journal of Computational Neuroscience  
One of the goals of neuroscience is to understand the computational principles that describe the formation of behaviorally relevant signals in the brain, as well as how these computations are realized  ...  within the constraints of biological networks.  ...  Acknowledgements This work is an output of a research project implemented as part of the Basic Research Program at the HSE University.  ... 
doi:10.1007/s10827-021-00801-9 pmid:34931275 pmcid:PMC8687879 fatcat:evpmmfpaivgpxdqpive5xdgmwu

Computational models of epileptiform activity

Fabrice Wendling, Pascal Benquet, Fabrice Bartolomei, Viktor Jirsa
2016 Journal of Neuroscience Methods  
the multimodal information conveyed by the observations, on the one side and ii) for computational models aimed at decoding/explaining the mechanisms underlying their generation, on the other side.  ...  It shows that models have progressively gained acceptance and are now considered as an efficient way of integrating structural, functional and pathophysiological data about neural systems into "coherent  ...  , a common anti-epileptic drug used to control absence seizures.  ... 
doi:10.1016/j.jneumeth.2015.03.027 pmid:25843066 fatcat:altbj3ga5faj7dzlqla2pixwpq

Crowding is similar for eye movements and manual responses

F. Yildirim, F. W. Cornelissen
2014 Journal of Vision  
of real-time analysis options for use in brain-computer interface and other applications We are pleased to be the US sales and support representative for Cambridge Research Instruments, allowing us to  ...  Booth 11 LC Technologies is passionate about changing lives with world leading eye tracking technologies Founded in 1986 with the goal of creating an unobtrusive human-computer interface that will revolutionize  ... 
doi:10.1167/14.10.789 fatcat:uxwzbzfhbjc3ddyfhbs2ilr4qe

2016 Biennial Meeting of the American Society for Stereotactic and Functional Neurosurgery, Chicago, IL, USA, June 18-21, 2016: Abstracts

2016 Stereotactic and Functional Neurosurgery  
In a group of patients with extreme levels of treatment-resistance to conventional treatments, using a within-subject analysis, DBS was associated with a decrease in the rate of suicide attempts and hospitalizations  ...  Results A total of 4402 patient-months (366.8 patient-years) of followup were provided to all groups.  ...  At the end of follow up, tumor shrinkage was seen in 13 patients and a stable volume in 8 (91% tumor control rate).  ... 
doi:10.1159/000455386 pmid:28092908 fatcat:dfobre7vdfcqvekxhbc4aekwgy
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