[HTML][HTML] Long-term imaging of dorsal root ganglia in awake behaving mice

C Chen, J Zhang, L Sun, Y Zhang, WB Gan… - Nature …, 2019 - nature.com
The dorsal root ganglia (DRG) contain the somas of first-order sensory neurons critical for
somatosensation. Due to technical difficulties, DRG neuronal activity in awake behaving …

[HTML][HTML] Recording single-and multi-unit neuronal action potentials from the surface of the dorsal root ganglion

AI Kashkoush, RA Gaunt, LE Fisher, TM Bruns… - Scientific reports, 2019 - nature.com
The dorsal root ganglia (DRG) contain cell bodies of primary afferent neurons, which are
frequently studied by recording extracellularly with penetrating microelectrodes inserted into …

[HTML][HTML] Providing low-dimensional feedback of a high-dimensional movement allows for improved performance of a skilled walking task

KA Day, AJ Bastian - Scientific reports, 2019 - nature.com
Learning a skilled movement often requires changing multiple dimensions of movement in a
coordinated manner. Serial training is one common approach to learning a new movement …

[HTML][HTML] Dependence of neuroprosthetic stimulation on the sensory modality of the trigeminal neurons following nerve injury. implications in the design of future …

A Virtuoso, C Herrera-Rincon, M Papa… - Frontiers in …, 2019 - frontiersin.org
Amputation of a sensory peripheral nerve induces severe anatomical and functional
changes along the afferent pathway as well as perception alterations and neuropathic pain …

[HTML][HTML] Estimation of bladder pressure and volume from the neural activity of lumbosacral dorsal horn using a long-short-term-memory-based deep neural network

M Jabbari, A Erfanian - Scientific Reports, 2019 - nature.com
In this paper, we propose a deep recurrent neural network (DRNN) for the estimation of
bladder pressure and volume from neural activity recorded directly from spinal cord gray …

A probabilistic recurrent neural network for decoding hind limb kinematics from multi-segment recordings of the dorsal horn neurons

Y Fathi, A Erfanian - Journal of Neural Engineering, 2019 - iopscience.iop.org
Objective. Providing accurate and robust estimates of limb kinematics from recorded neural
activities is prominent in closed-loop control of functional electrical stimulation (FES). A …

Proprioceptive recognition with artificial neural networks based on organizations of spinocerebellar tract and cerebellum

H Guang, L Ji - International journal of neural systems, 2019 - World Scientific
Muscle kinematics and kinetics are nonlinearly encoded by proprioceptors, and the changes
in muscle length and velocity are integrated into Ia afferent. Besides, proprioceptive signals …

Linear feature projection-based real-time decoding of limb state from dorsal root ganglion recordings

S Han, JU Chu, JW Park, I Youn - Journal of Computational Neuroscience, 2019 - Springer
Proprioceptive afferent activities recorded by a multichannel microelectrode have been used
to decode limb movements to provide sensory feedback signals for closed-loop control in a …

Getting the most out of a training session: A motor learning approach to gait rehabilitation in stroke

KA Day - 2019 - jscholarship.library.jhu.edu
Gait following stroke often presents with multiple impairments. These can include step length
asymmetry, decreased paretic knee flexion, pelvic tilt, and abnormal ankle …

[引用][C] Recording single-and multi-unit neuronal action potentials from the surface of the dorsal root ganglion