AIMC Topic: Brain

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Global deep learning optimization of chemical exchange saturation transfer magnetic resonance fingerprinting acquisition schedule.

NMR in biomedicine May 4, 2023
Chemical exchange saturation transfer (CEST) MRI is a promising molecular imaging technique but suffers from long scan times and complicated processing. CEST was recently combined with magnetic resonance fingerprinting (MRF) to address these shortcom...
Phantoms, Imaging Carcinoma, Renal Cell Magnetic Resonance Spectroscopy Reproducibility of Results Deep Learning Magnetic Resonance Imaging Kidney Neoplasms Humans Brain
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Atomically thin optomemristive feedback neurons.

Nature nanotechnology May 4, 2023
Cognitive functions such as learning in mammalian brains have been attributed to the presence of neuronal circuits with feed-forward and feedback topologies. Such networks have interactions within and between neurons that provide excitory and inhibit...
Neural Networks, Computer Feedback Animals Machine Learning Brain Neurons Mammals
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Listen to the Brain-Auditory Sound Source Localization in Neuromorphic Computing Architectures.

Sensors (Basel, Switzerland) May 2, 2023
Conventional processing of sensory input often relies on uniform sampling leading to redundant information and unnecessary resource consumption throughout the entire processing pipeline. Neuromorphic computing challenges these conventions by mimickin...
Auditory Perception Computers Brain Neural Networks, Computer Algorithms
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Variable Binding for Sparse Distributed Representations: Theory and Applications.

IEEE transactions on neural networks and learning systems May 2, 2023
Variable binding is a cornerstone of symbolic reasoning and cognition. But how binding can be implemented in connectionist models has puzzled neuroscientists, cognitive psychologists, and neural network researchers for many decades. One type of conne...
Neural Networks, Computer Neurons Problem Solving Brain Cognition
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A least square generative network based on invariant contrastive feature pair learning for multimodal MR image synthesis.

International journal of computer assisted radiology and surgery Apr 27, 2023
PURPOSE: During MR-guided neurosurgical procedures, several factors may limit the acquisition of additional MR sequences, which are needed by neurosurgeons to adjust surgical plans or ensure complete tumor resection. Automatically synthesized MR cont...
Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Least-Squares Analysis Humans Brain
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Fetal brain activity and the free energy principle.

Journal of perinatal medicine Apr 26, 2023
OBJECTIVES: To study whether the free energy principle can explain fetal brain activity and the existence of fetal consciousness via a chaotic dimension derived using artificial intelligence.
Female Ultrasonography, Prenatal Fetus Brain Fetal Movement Humans Pregnancy Artificial Intelligence
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Automatized offline and online exploration to achieve a target dynamics in biohybrid neural circuits built with living and model neurons.

Neural networks : the official journal of the International Neural Network Society Apr 26, 2023
Biohybrid circuits of interacting living and model neurons are an advantageous means to study neural dynamics and to assess the role of specific neuron and network properties in the nervous system. Hybrid networks are also a necessary step to build e...
Neurons Synapses Brain Artificial Intelligence Models, Neurological
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Structure and function in artificial, zebrafish and human neural networks.

Physics of life reviews Apr 25, 2023
Network science provides a set of tools for the characterization of the structure and functional behavior of complex systems. Yet a major problem is to quantify how the structural domain is related to the dynamical one. In other words, how the divers...
Animals Brain Mapping Artificial Intelligence Brain Zebrafish Humans Neural Networks, Computer
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Optimized deep learning architecture for brain tumor classification using improved Hunger Games Search Algorithm.

Computers in biology and medicine Apr 24, 2023
One of the worst diseases is a brain tumor, which is defined by abnormal development of synapses in the brain. Early detection of brain tumors is essential for improving prognosis, and classifying tumors is a vital step in the disease's treatment. Di...
Brain Neoplasms Deep Learning Algorithms Brain Humans
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Memristor-Based Neural Network Circuit With Multimode Generalization and Differentiation on Pavlov Associative Memory.

IEEE transactions on cybernetics Apr 21, 2023
Most of the classical conditioning laws implemented by existing circuits are involved in learning and forgetting between only three neurons, and the problems between multiple neurons are not considered. In this article, a multimode generalization and...
Neurons Conditioning, Classical Brain Learning Neural Networks, Computer
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