AIMC Topic: Neuronal Plasticity

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Cortical frequency-specific plasticity is independently induced by intracortical circuitry.

Neuroscience letters Dec 21, 2017
Auditory learning induces frequency-specific plasticity in the auditory cortex. Both the auditory cortex and thalamus are involved in the cortical plasticity; however, the precise role of the intracortical circuity remains unclear until the contribut...
Acoustic Stimulation Action Potentials Auditory Cortex Electric Stimulation Mice, Inbred C57BL Evoked Potentials, Auditory Thalamus Animals Lidocaine Voltage-Gated Sodium Channel Blockers Neurons Mice Neuronal Plasticity
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Memristive stochastic plasticity enables mimicking of neural synchrony: Memristive circuit emulates an optical illusion.

Science advances Oct 25, 2017
The human brain is able to integrate a myriad of information in an enormous and massively parallel network of neurons that are divided into functionally specialized regions such as the visual cortex, auditory cortex, or dorsolateral prefrontal cortex...
Humans Neuronal Plasticity Models, Neurological Neurons Optical Illusions Neural Networks, Computer Algorithms Brain Animals
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Stochastic spike synchronization in a small-world neural network with spike-timing-dependent plasticity.

Neural networks : the official journal of the International Neural Network Society Oct 12, 2017
We consider the Watts-Strogatz small-world network (SWN) consisting of subthreshold neurons which exhibit noise-induced spikings. This neuronal network has adaptive dynamic synaptic strengths governed by the spike-timing-dependent plasticity (STDP). ...
Stochastic Processes Electrophysiological Phenomena Long-Term Potentiation Noise Neurons Neural Networks, Computer Synapses Feedback Neuronal Plasticity Models, Neurological
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Flexible three-dimensional artificial synapse networks with correlated learning and trainable memory capability.

Nature communications Sep 29, 2017
If a three-dimensional physical electronic system emulating synapse networks could be built, that would be a significant step toward neuromorphic computing. However, the fabrication complexity of complementary metal-oxide-semiconductor architectures ...
Long-Term Potentiation Humans Models, Neurological Neural Networks, Computer Electronics Algorithms Synapses Learning Memory Neuronal Plasticity
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Multi-layer network utilizing rewarded spike time dependent plasticity to learn a foraging task.

PLoS computational biology Sep 29, 2017
Neural networks with a single plastic layer employing reward modulated spike time dependent plasticity (STDP) are capable of learning simple foraging tasks. Here we demonstrate advanced pattern discrimination and continuous learning in a network of s...
Action Potentials Appetitive Behavior Computational Biology Neuronal Plasticity Models, Neurological Humans Neural Networks, Computer Machine Learning Algorithms Feedback Animals
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The Combined Effects of Adaptive Control and Virtual Reality on Robot-Assisted Fine Hand Motion Rehabilitation in Chronic Stroke Patients: A Case Study.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Sep 14, 2017
Robot-assisted therapy is regarded as an effective and reliable method for the delivery of highly repetitive training that is needed to trigger neuroplasticity following a stroke. However, the lack of fully adaptive assist-as-needed control of the ro...
Virtual Reality Exposure Therapy Hand Motor Activity Humans Stroke Female Range of Motion, Articular Adaptation, Psychological Recovery of Function Chronic Disease Time Factors Robotics Treatment Outcome Neuronal Plasticity Muscle Strength Aged Biomechanical Phenomena Male Middle Aged Video Games Stroke Rehabilitation
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Parsing learning in networks using brain-machine interfaces.

Current opinion in neurobiology Aug 24, 2017
Brain-machine interfaces (BMIs) define new ways to interact with our environment and hold great promise for clinical therapies. Motor BMIs, for instance, re-route neural activity to control movements of a new effector and could restore movement to pe...
Humans Machine Learning Brain Learning Animals Neuronal Plasticity Brain-Computer Interfaces
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Hidden Markov modeling of frequency-following responses to Mandarin lexical tones.

Journal of neuroscience methods Aug 12, 2017
BACKGROUND: The frequency-following response (FFR) is a scalp-recorded electrophysiological potential reflecting phase-locked activity from neural ensembles in the auditory system. The FFR is often used to assess the robustness of subcortical pitch p...
Models, Neurological Electroencephalography Markov Chains Neuropsychological Tests Speech Perception Female Pitch Perception Young Adult Humans Machine Learning Brain Male Neuronal Plasticity
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Robot-Applied Resistance Augments the Effects of Body Weight-Supported Treadmill Training on Stepping and Synaptic Plasticity in a Rodent Model of Spinal Cord Injury.

Neurorehabilitation and neural repair Jul 25, 2017
BACKGROUND: The application of resistive forces has been used during body weight-supported treadmill training (BWSTT) to improve walking function after spinal cord injury (SCI). Whether this form of training actually augments the effects of BWSTT is ...
Disease Models, Animal Recovery of Function Robotics Exercise Therapy Animals Neuronal Plasticity Rats, Sprague-Dawley Female Spinal Cord Injuries Saponins Spinal Cord Oleanolic Acid Hindlimb Motor Activity Synaptophysin
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Memristive neural network for on-line learning and tracking with brain-inspired spike timing dependent plasticity.

Scientific reports Jul 13, 2017
Brain-inspired computation can revolutionize information technology by introducing machines capable of recognizing patterns (images, speech, video) and interacting with the external world in a cognitive, humanlike way. Achieving this goal requires fi...
Time Perception Learning Neuronal Plasticity Action Potentials Humans Synapses Neural Networks, Computer Brain Computer Simulation
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