ArticleFrontiers in neurorobotics2009
Brain-machine interactions for assessing the dynamics of neural systems.
Article in Frontiers in neurorobotics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed, 17 citations in OpenAlex.
- Plasticity and Adaptation in Neuromorphic Biohybrid Systems.iScience · 2020Review
- How a diverse research ecosystem has generated new rehabilitation technologies: Review of NIDILRR's Rehabilitation Engineering Research Centers.Journal of neuroengineering and rehabilitation · 2017Review
- Coupling Resistive Switching Devices with Neurons: State of the Art and Perspectives.Frontiers in neuroscience · 2017Article
- Unlocking neural complexity with a robotic key.The Journal of physiology · 2016Review
- Adaptation to elastic loads and BMI robot controls during rat locomotion examined with point-process GLMs.Frontiers in systems neuroscience · 2015Article
- Adaptation to a cortex-controlled robot attached at the pelvis and engaged during locomotion in rats.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2011Article
- New Perspectives on the Dialogue between Brains and Machines.Frontiers in neuroscience · 2010Article
- Closing the loop between neurons and neurotechnology.Frontiers in neuroscience · 2010Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
A critical advance for brain-machine interfaces is the establishment of bi-directional communications between the nervous system and external devices. However, the signals generated by a population of neurons are expected to depend in a complex way upon poorly understood neural dynamics. We report a new technique for the identification of the dynamics of a neural population engaged in a bi-directional interaction with an external device. We placed in vitro preparations from the lamprey brainstem in a closed-loop interaction with simulated dynamical devices having different numbers of degrees of freedom. We used the observed behaviors of this composite system to assess how many independent parameters - or state variables - determine at each instant the output of the neural system. This information, known as the dynamical dimension of a system, allows predicting future behaviors based on the present state and the future inputs. A relevant novelty in this approach is the possibility to assess a computational property - the dynamical dimension of a neuronal population - through a simple experimental technique based on the bi-directional interaction with simulated dynamical devices. We present a set of results that demonstrate the possibility of obtaining stable and reliable measures of the dynamical dimension of a neural preparation.
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Registered trials
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.