AIMC Topic: Cerebellum
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Machine learning with multiple modalities of brain magnetic resonance imaging data to identify the presence of bipolar disorder.
Journal of affective disorders
Sep 14, 2024
BACKGROUND: Bipolar disorder (BD) is a chronic psychiatric mood disorder that is solely diagnosed based on clinical symptoms. These symptoms often overlap with other psychiatric disorders. Efforts to use machine learning (ML) to create predictive mod...
Convolutional Neural Network for Fully Automated Cerebellar Volumetry in Children in Comparison to Manual Segmentation and Developmental Trajectory of Cerebellar Volumes.
Cerebellum (London, England)
Oct 13, 2023
The purpose of this study was to develop a fully automated and reliable volumetry of the cerebellum of children during infancy and childhood using deep learning algorithms in comparison to manual segmentation. In addition, the clinical usefulness of ...
CerebNet: A fast and reliable deep-learning pipeline for detailed cerebellum sub-segmentation.
NeuroImage
Oct 27, 2022
Quantifying the volume of the cerebellum and its lobes is of profound interest in various neurodegenerative and acquired diseases. Especially for the most common spinocerebellar ataxias (SCA), for which the first antisense oligonculeotide-base gene s...
CerebelluMorphic: Large-Scale Neuromorphic Model and Architecture for Supervised Motor Learning.
IEEE transactions on neural networks and learning systems
Aug 31, 2022
The cerebellum plays a vital role in motor learning and control with supervised learning capability, while neuromorphic engineering devises diverse approaches to high-performance computation inspired by biological neural systems. This article present...
An Automated Deep Learning Model for the Cerebellum Segmentation from Fetal Brain Images.
BioMed research international
Jun 16, 2022
Cerebellum measures taken from routinely obtained ultrasound (US) images have been frequently employed to determine gestational age and identify developing central nervous system's anatomical abnormalities. Standardized cerebellar assessments from la...
Convolutional Neural Networks for Segmenting Cerebellar Fissures from Magnetic Resonance Imaging.
Sensors (Basel, Switzerland)
Feb 10, 2022
The human cerebellum plays an important role in coordination tasks. Diseases such as spinocerebellar ataxias tend to cause severe damage to the cerebellum, leading patients to a progressive loss of motor coordination. The detection of such damages ca...
Aquoeus Extracts of Daucus Carota (Linn) Protected the Postnatal Developing Cerebellum of Wistar Rats Against Arsenic-Induced Oxidative Stress.
Nigerian journal of physiological sciences : official publication of the Physiological Society of Nigeria
Dec 31, 2021
The neuroprotective effects of the aqueous extract of Daucus carota (Dc) tuber against arsenic-induced oxidative damage on the developing cerebellum of Wistar rats were studied. Twenty-five pregnant rats (110-200g) were divided into five groups (n=5)...
A cerebellar-based solution to the nondeterministic time delay problem in robotic control.
Science robotics
Sep 8, 2021
The presence of computation and transmission-variable time delays within a robotic control loop is a major cause of instability, hindering safe human-robot interaction (HRI) under these circumstances. Classical control theory has been adapted to coun...
A Neurorobotic Embodiment for Exploring the Dynamical Interactions of a Spiking Cerebellar Model and a Robot Arm During Vision-Based Manipulation Tasks.
International journal of neural systems
May 18, 2021
While the original goal for developing robots is replacing humans in dangerous and tedious tasks, the final target shall be completely mimicking the human cognitive and motor behavior. Hence, building detailed computational models for the human brain...
On Robot Compliance: A Cerebellar Control Approach.
IEEE transactions on cybernetics
Apr 15, 2021
The work presented here is a novel biological approach for the compliant control of a robotic arm in real time (RT). We integrate a spiking cerebellar network at the core of a feedback control loop performing torque-driven control. The spiking cerebe...
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