Evidence map›Paper›PMID 26635598›Full record

ArticleFrontiers in neurorobotics2015

Cortical Spiking Network Interfaced with Virtual Musculoskeletal Arm and Robotic Arm.

Salvador Dura-Bernal, Xianlian Zhou, Samuel A Neymotin, Andrzej Przekwas, Joseph T Francis, William W Lytton

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurorobotics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.5field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
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  3. Tutorial: using NEURON for neuromechanical simulations.Frontiers in computational neuroscience · 2023
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  6. [Recognition of three different imagined movement of the right foot based on functional near-infrared spectroscopy].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2020
    Article
  7. Article
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  9. Geppetto: a reusable modular open platform for exploring neuroscience data and models.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2018
    Article
  10. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Salvador Dura-BernalDepartment of Physiology and Pharmacology, State University of New York Downstate Medical Center Brooklyn, NY, USA.
Xianlian ZhouCFD Research Corporation Huntsville, AL, USA.
Samuel A NeymotinDepartment of Physiology and Pharmacology, State University of New York Downstate Medical Center Brooklyn, NY, USA.
Andrzej PrzekwasCFD Research Corporation Huntsville, AL, USA.
Joseph T FrancisDepartment of Physiology and Pharmacology, State University of New York Downstate Medical Center Brooklyn, NY, USA ; The Robert Furchgott Center for Neural and Behavioral Science, State University of New York Downstate Medical Center Brooklyn, NY, USA ; Joint Graduate Program in Biomedical Engineering, State University of New York Downstate and Polytechnic Institute of New York University Brooklyn, NY, USA.
William W LyttonDepartment of Physiology and Pharmacology, State University of New York Downstate Medical Center Brooklyn, NY, USA ; The Robert Furchgott Center for Neural and Behavioral Science, State University of New York Downstate Medical Center Brooklyn, NY, USA ; Joint Graduate Program in Biomedical Engineering, State University of New York Downstate and Polytechnic Institute of New York University Brooklyn, NY, USA ; Department of Neurology, State University of New York Downstate Medical Center Brooklyn, NY, USA ; Department of Neurology, Kings County Hospital Center Brooklyn, NY, USA.
SUNY Downstate Health Sciences University · USCFD Research Corporation (United States) · USState University of New York · US

Funding

Microconnectomics of neocortex: a multiscale computer modelU01EB017695 · NIBIB · SUNY DOWNSTATE MEDICAL CENTER · PI LYTTON, WILLIAM W · 2014 to 2017
$2.3M
NIBIB NIH HHS U01 EB017695
6 · The paper itself

Abstract

Embedding computational models in the physical world is a critical step towards constraining their behavior and building practical applications. Here we aim to drive a realistic musculoskeletal arm model using a biomimetic cortical spiking model, and make a robot arm reproduce the same trajectories in real time. Our cortical model consisted of a 3-layered cortex, composed of several hundred spiking model-neurons, which display physiologically realistic dynamics. We interconnected the cortical model to a two-joint musculoskeletal model of a human arm, with realistic anatomical and biomechanical properties. The virtual arm received muscle excitations from the neuronal model, and fed back proprioceptive information, forming a closed-loop system. The cortical model was trained using spike timing-dependent reinforcement learning to drive the virtual arm in a 2D reaching task. Limb position was used to simultaneously control a robot arm using an improved network interface. Virtual arm muscle activations responded to motoneuron firing rates, with virtual arm muscles lengths encoded via population coding in the proprioceptive population. After training, the virtual arm performed reaching movements which were smoother and more realistic than those obtained using a simplistic arm model. This system provided access to both spiking network properties and to arm biophysical properties, including muscle forces. The use of a musculoskeletal virtual arm and the improved control system allowed the robot arm to perform movements which were smoother than those reported in our previous paper using a simplistic arm. This work provides a novel approach consisting of bidirectionally connecting a cortical model to a realistic virtual arm, and using the system output to drive a robotic arm in real time. Our techniques are applicable to the future development of brain neuroprosthetic control systems, and may enable enhanced brain-machine interfaces with the possibility for finer control of limb prosthetics.

Indexed as

biomimeticmusculoskeletal armneuroprostheticsreachingrobot armsensorimotorspiking networkvirtual arm

Identifiers

PMID26635598
PMCPMC4658435
OpenAlexW2183423053

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.