AIMC Topic: Motor Neurons

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Constrained chaos in three-module neural network enables to execute multiple tasks simultaneously.

Neuroscience research Dec 28, 2019
Constrained chaos introduced into a three-module neural network having feedforward inter-module structure could have potential abilities to execute multiple tasks simultaneously. Each module consists of a large number of binary state (±1) neurons. Th...
Neural Networks, Computer Brain Motor Neurons Neurons, Afferent
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Reaction-diffusion memory unit: Modeling of sensitization, habituation and dishabituation in the brain.

PloS one Dec 5, 2019
We propose a novel approach to investigate the effects of sensitization, habituation and dishabituation in the brain using the analysis of the reaction-diffusion memory unit (RDMU). This unit consists of Morris-Lecar-type sensory, motor, interneuron ...
Neurons Synapses Memory Interneurons Sensory Receptor Cells Motor Neurons Neural Networks, Computer Habituation, Psychophysiologic Brain Learning Animals
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Neuromuscular actuation of biohybrid motile bots.

Proceedings of the National Academy of Sciences of the United States of America Sep 16, 2019
The integration of muscle cells with soft robotics in recent years has led to the development of biohybrid machines capable of untethered locomotion. A major frontier that currently remains unexplored is neuronal actuation and control of such muscle-...
Animals Muscle Contraction Optogenetics Mice Hydrodynamics Motor Neurons Movement Cell Line Embryonic Stem Cells Myoblasts Flagella Muscle, Skeletal Robotics Collagen Equipment Design Coculture Techniques
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Discrimination of EMG Signals Using a Neuromorphic Implementation of a Spiking Neural Network.

IEEE transactions on biomedical circuits and systems Jun 27, 2019
An accurate description of muscular activity plays an important role in the clinical diagnosis and rehabilitation research. The electromyography (EMG) is the most used technique to make accurate descriptions of muscular activity. The EMG is associate...
Neural Networks, Computer Gestures Models, Neurological Action Potentials Humans Electromyography Movement Motor Neurons Muscle, Skeletal Signal Processing, Computer-Assisted Hand
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Discrimination of bursts and tonic activity in multifunctional sensorimotor neural network using the extended hill-valley method.

Journal of neurophysiology Jun 19, 2019
Individual neurons can exhibit a wide range of activity, including spontaneous spiking, tonic spiking, bursting, or spike-frequency adaptation, and can also transition between these activity types. Manual identification of these activity patterns can...
Neural Networks, Computer Astacoidea Models, Biological Algorithms Nerve Net Animals Sensory Receptor Cells Action Potentials Motor Neurons
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Neural network model of an amphibian ventilatory central pattern generator.

Journal of computational neuroscience May 22, 2019
The neuronal multiunit model presented here is a formal model of the central pattern generator (CPG) of the amphibian ventilatory neural network, inspired by experimental data from Pelophylax ridibundus. The kernel of the CPG consists of three pacema...
Ranidae Cheek Metamorphosis, Biological Central Pattern Generators Motor Neurons Biological Clocks Electrophysiological Phenomena Ganglia, Invertebrate Neurons Amphibians Synapses Acidosis Neural Inhibition Neural Networks, Computer Animals Lung
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Afferent Input Induced by Rhythmic Limb Movement Modulates Spinal Neuronal Circuits in an Innovative Robotic In Vitro Preparation.

Neuroscience Oct 18, 2018
Locomotor patterns are mainly modulated by afferent feedback, but its actual contribution to spinal network activity during continuous passive limb training is still unexplored. To unveil this issue, we devised a robotic in vitro setup (Bipedal Induc...
Animals Neurons, Afferent Locomotion Rats, Wistar Electric Stimulation Robotics Spinal Cord Motor Neurons Spinal Nerve Roots Afferent Pathways Hindlimb
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Control of a muscle-like soft actuator via a bioinspired approach.

Bioinspiration & biomimetics Oct 9, 2018
Soft actuators have played an indispensable role in generating compliant motions of soft robots. Among the various soft actuators explored for soft robotic applications, dielectric elastomer actuators (DEAs) have caught the eye with their intriguing ...
Feedback Robotics Motion Cerebellum Biomimetics Nonlinear Dynamics Elastomers Motor Neurons Musculoskeletal System
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Neuromorphic meets neuromechanics, part I: the methodology and implementation.

Journal of neural engineering Jan 13, 2017
OBJECTIVE: One goal of neuromorphic engineering is to create 'realistic' robotic systems that interact with the physical world by adopting neuromechanical principles from biology. Critical to this is the methodology to implement the spinal circuitry ...
Signal Processing, Computer-Assisted Biomimetics Humans Muscle Contraction Neuromuscular Junction Motor Neurons Action Potentials Computer Simulation Muscle, Skeletal Synaptic Transmission Animals Afferent Pathways Robotics Models, Neurological Muscle Spindles
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Improving actuation efficiency through variable recruitment hydraulic McKibben muscles: modeling, orderly recruitment control, and experiments.

Bioinspiration & biomimetics Nov 3, 2016
Hydraulic control systems have become increasingly popular as the means of actuation for human-scale legged robots and assistive devices. One of the biggest limitations to these systems is their run time untethered from a power source. One way to inc...
Muscle Contraction Biomimetic Materials Motor Neurons Robotics Humans Equipment Design Efficiency Artificial Limbs Muscle, Skeletal Biomimetics
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