AIMC Topic: Cerebellum

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Discriminative analysis of Parkinson's disease based on whole-brain functional connectivity.

PloS one Apr 17, 2015
Recently, there has been an increasing emphasis on applications of pattern recognition and neuroimaging techniques in the effective and accurate diagnosis of psychiatric or neurological disorders. In the present study, we investigated the whole-brain...
Head Movements Case-Control Studies Cerebral Cortex Support Vector Machine Connectome Sensitivity and Specificity Cerebellum Magnetic Resonance Imaging Nerve Net Early Diagnosis Male Humans Middle Aged Parkinson Disease Female Discriminant Analysis Aged
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A Spiking Neural Simulator Integrating Event-Driven and Time-Driven Computation Schemes Using Parallel CPU-GPU Co-Processing: A Case Study.

IEEE transactions on neural networks and learning systems Aug 26, 2014
Time-driven simulation methods in traditional CPU architectures perform well and precisely when simulating small-scale spiking neural networks. Nevertheless, they still have drawbacks when simulating large-scale systems. Conversely, event-driven simu...
Purkinje Cells Neural Networks, Computer Algorithms Computer Simulation Nerve Fibers Computers, Hybrid Reproducibility of Results Computer Graphics Benchmarking Microcomputers Cerebellum
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Comparison of Regression Methods to Predict the First Spike Latency in Response to an External Stimulus in Intracellular Recordings for Cerebellar Cells.

Studies in health technology and informatics Aug 22, 2024
The significance of intracellular recording in neurophysiology is emphasized in this article, with considering the functions of neurons, particularly the role of first spike latency in response to external stimuli. The study employs advanced machine ...
Action Potentials Machine Learning Neurons Regression Analysis Animals Models, Neurological Cerebellum
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Deep multimodal saliency parcellation of cerebellar pathways: Linking microstructure and individual function through explainable multitask learning.

Human brain mapping Aug 15, 2024
Parcellation of human cerebellar pathways is essential for advancing our understanding of the human brain. Existing diffusion magnetic resonance imaging tractography parcellation methods have been successful in defining major cerebellar fibre tracts,...
Connectome Neural Pathways Diffusion Tensor Imaging Motor Activity Deep Learning Humans Image Processing, Computer-Assisted Cerebellum Adult Male Female Young Adult
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[Artificial Intelligence and Cerebellar Motor Learning].

Brain and nerve = Shinkei kenkyu no shinpo Jul 1, 2019
Half a century ago, cerebellar learning models based on a simple perceptron were proposed independently by Marr and Albus. Soon, these models were combined with Ito's flocculus hypothesis that the cerebellar flocculus controls the vestibulo-ocular re...
Synapses Reflex, Vestibulo-Ocular Artificial Intelligence Neuronal Plasticity Models, Neurological Cerebellum Humans Neural Networks, Computer
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Computational Principles of Supervised Learning in the Cerebellum.

Annual review of neuroscience Jul 8, 2018
Supervised learning plays a key role in the operation of many biological and artificial neural networks. Analysis of the computations underlying supervised learning is facilitated by the relatively simple and uniform architecture of the cerebellum, a...
Humans Algorithms Models, Neurological Supervised Machine Learning Neurons Cerebellum Animals Time Factors Neuronal Plasticity Nerve Net
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Real-time cerebellar neuroprosthetic system based on a spiking neural network model of motor learning.

Journal of neural engineering Feb 1, 2018
OBJECTIVE: Damage to the brain, as a result of various medical conditions, impacts the everyday life of patients and there is still no complete cure to neurological disorders. Neuroprostheses that can functionally replace the damaged neural circuit h...
Blinking Neural Prostheses Rats, Sprague-Dawley Action Potentials Cerebellum Neural Networks, Computer Learning Computer Systems Rats Animals Male
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Combined effects of cerebellar transcranial direct current stimulation and transcutaneous spinal direct current stimulation on robot-assisted gait training in patients with chronic brain stroke: A pilot, single blind, randomized controlled trial.

Restorative neurology and neuroscience Jan 1, 2018
BACKGROUND: Preliminary evidence showed additional effects of anodal transcranial direct current stimulation over the damaged cerebral hemisphere combined with cathodal transcutaneous spinal direct current stimulation during robot-assisted gait train...
Transcutaneous Electric Nerve Stimulation Spinal Cord Functional Laterality Stroke Rehabilitation Transcranial Direct Current Stimulation Stroke Exercise Therapy Cerebellum Middle Aged Pilot Projects Humans Treatment Outcome Female Single-Blind Method Aged Electroencephalography Chronic Disease Male Robotics
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Robotic Automation of In Vivo Two-Photon Targeted Whole-Cell Patch-Clamp Electrophysiology.

Neuron Aug 30, 2017
Whole-cell patch-clamp electrophysiological recording is a powerful technique for studying cellular function. While in vivo patch-clamp recording has recently benefited from automation, it is normally performed "blind," meaning that throughput for sa...
Animals Mice Cerebellum Automation Robotics Neurons Neocortex Photons Patch-Clamp Techniques
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Computational Architecture of the Granular Layer of Cerebellum-Like Structures.

Cerebellum (London, England) Feb 1, 2017
In the adaptive filter model of the cerebellum, the granular layer performs a recoding which expands incoming mossy fibre signals into a temporally diverse set of basis signals. The underlying neural mechanism is not well understood, although various...
Biological Evolution Animals Models, Neurological Neural Networks, Computer Neurons Computer Simulation Cerebellum
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