AIMC Topic: Cerebellum

Clear Filters Showing 1 to 10 of 65 articles

Strategies to Decipher Neuron Identity from Extracellular Recordings in Behaving Nonhuman Primates.

The Journal of neuroscience : the official journal of the Society for Neuroscience Aug 6, 2025
Identification of the neuron type is critical when using extracellular recordings in awake, behaving animal subjects to understand computation in neural circuits. Yet, modern recording probes have limited power to resolve neuron identity. Here, we pr...
Animals Male Deep Learning Action Potentials Macaca mulatta Neurons Pursuit, Smooth Cerebellum Wakefulness
View on PubMed DOI

Specific Contribution of the Cerebellar Inferior Posterior Lobe to Motor Learning in Degenerative Cerebellar Ataxia.

Cerebellum (London, England) Jul 16, 2025
BACKGROUND AND OBJECTIVE: Degenerative cerebellar ataxia, a group of progressive neurodegenerative disorders, is characterised by cerebellar atrophy and impaired motor learning. Using CerebNet, a deep learning algorithm for cerebellar segmentation, t...
Cerebellum Cerebellar Ataxia Learning Female Aged Middle Aged Magnetic Resonance Imaging Adult Humans Male
View on PubMed DOI

Multivariate brain morphological patterns across mood disorders: key roles of frontotemporal and cerebellar areas.

BMJ mental health Jun 10, 2025
BACKGROUND: Differentiating major depressive disorder (MDD) from bipolar disorder (BD) remains a significant clinical challenge, as both disorders exhibit overlapping symptoms but require distinct treatment approaches. Advances in voxel-based morphom...
Depressive Disorder, Major Bipolar Disorder Magnetic Resonance Imaging Adult Male Middle Aged Humans Cerebellum Female Gray Matter Multivariate Analysis
View on PubMed DOI

Linking cellular-level phenomena to brain architecture: the case of spiking cerebellar controllers.

Neural networks : the official journal of the International Neural Network Society Apr 23, 2025
Linking cellular-level phenomena to brain architecture and behavior is a holy grail for theoretical and computational neuroscience. Advances in neuroinformatics have recently allowed scientists to embed spiking neural networks of the cerebellum with ...
Neural Networks, Computer Algorithms Learning Humans Action Potentials Animals Neurons Cerebellum Neuronal Plasticity Nerve Net Models, Neurological
View on PubMed DOI

Predictive reward-prediction errors of climbing fiber inputs integrate modular reinforcement learning with supervised learning.

PLoS computational biology Mar 17, 2025
Although the cerebellum is typically associated with supervised learning algorithms, it also exhibits extensive involvement in reward processing. In this study, we investigated the cerebellum's role in executing reinforcement learning algorithms, wit...
Reward Reinforcement, Psychology Male Purkinje Cells Algorithms Supervised Machine Learning Mice Animals Cerebellum Models, Neurological Computational Biology Mice, Inbred C57BL
View on PubMed DOI

A deep learning strategy to identify cell types across species from high-density extracellular recordings.

Cell Feb 28, 2025
High-density probes allow electrophysiological recordings from many neurons simultaneously across entire brain circuits but fail to reveal cell type. Here, we develop a strategy to identify cell types from extracellular recordings in awake animals an...
Purkinje Cells Cerebellum Interneurons Rats Optogenetics Animals Deep Learning Mice, Inbred C57BL Male Neurons Mice
View on PubMed DOI

DeepCERES: A deep learning method for cerebellar lobule segmentation using ultra-high resolution multimodal MRI.

NeuroImage Feb 6, 2025
This paper introduces a novel multimodal and high-resolution human brain cerebellum lobule segmentation method. Unlike current tools that operate at standard resolution (1 mm) or using mono-modal data, the proposed method improves cerebellum lobule s...
Humans Female Neuroimaging Deep Learning Adult Magnetic Resonance Imaging Image Processing, Computer-Assisted Male Multimodal Imaging Cerebellum
View on PubMed DOI

Prenatal Diagnostics Using Deep Learning: A Dual Approach to Plane Localization and Cerebellum Segmentation in Ultrasound Images.

Journal of clinical ultrasound : JCU Feb 3, 2025
OBJECTIVE: The fetal ultrasound examination is the significant task of mid-term pregnancy inspection and the accurate localization as well as the segmentation of the cerebellum is crucial for clinical diagnosis. This research focuses on developing de...
Female Ultrasonography, Prenatal Deep Learning Cerebellum Neurodevelopmental Disorders Humans Neural Networks, Computer Pregnancy
View on PubMed DOI

A neuromechanics solution for adjustable robot compliance and accuracy.

Science robotics Jan 22, 2025
Robots have to adjust their motor behavior to changing environments and variable task requirements to successfully operate in the real world and physically interact with humans. Thus, robotics strives to enable a broad spectrum of adjustable motor be...
Robotics Equipment Design Humans Cerebellum Computer Simulation Torque Biomechanical Phenomena Viscosity Muscle, Skeletal Muscle Contraction
View on PubMed DOI

Enhancing automatic sleep stage classification with cerebellar EEG and machine learning techniques.

Computers in biology and medicine Dec 10, 2024
Sleep disorders have become a significant health concern in modern society. To investigate and diagnose sleep disorders, sleep analysis has emerged as the primary research method. Conventional polysomnography primarily relies on cerebral electroencep...
Signal Processing, Computer-Assisted Electromyography Cerebellum Machine Learning Mice Polysomnography Animals Mice, Inbred C57BL Sleep Stages Male Electroencephalography
View on PubMed DOI
Popular Topics
Recent Journals