AIMC Topic: Brain

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On the path to artificial intelligence analysis of brain CT after cardiac arrest.

Resuscitation Aug 25, 2023
Humans Artificial Intelligence Brain Heart Arrest Tomography, X-Ray Computed Neuroimaging
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I know what you're thinking; can neuroimaging truly reveal our innermost thoughts?

BioTechniques Aug 25, 2023
[Formula: see text] Advances in neuroimaging, combined with developments in artificial intelligence software, have allowed researchers to noninvasively decode the brain and 'read the mind'.
Neuroimaging Brain Research Personnel Artificial Intelligence Software Humans
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A brain-inspired algorithm that mitigates catastrophic forgetting of artificial and spiking neural networks with low computational cost.

Science advances Aug 25, 2023
Neuromodulators in the brain act globally at many forms of synaptic plasticity, represented as metaplasticity, which is rarely considered by existing spiking (SNNs) and nonspiking artificial neural networks (ANNs). Here, we report an efficient brain-...
Algorithms Neural Networks, Computer Brain Learning Recognition, Psychology
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Individual-Level Prediction of Exposure Therapy Outcome Using Structural and Functional MRI Data in Spider Phobia: A Machine-Learning Study.

Depression and anxiety Aug 22, 2023
Machine-learning prediction studies have shown potential to inform treatment stratification, but recent efforts to predict psychotherapy outcomes with clinical routine data have only resulted in moderate prediction accuracies. Neuroimaging data showe...
Magnetic Resonance Imaging Young Adult Outcome Assessment, Health Care Brain Adult Spiders Middle Aged Humans Implosive Therapy Treatment Outcome Phobic Disorders Machine Learning Animals Female Virtual Reality Exposure Therapy Male
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A novel feature-scrambling approach reveals the capacity of convolutional neural networks to learn spatial relations.

Neural networks : the official journal of the International Neural Network Society Aug 18, 2023
Convolutional neural networks (CNNs) are one of the most successful computer vision systems to solve object recognition. Furthermore, CNNs have major applications in understanding the nature of visual representations in the human brain. Yet it remain...
Recognition, Psychology Brain Visual Perception Humans Neural Networks, Computer
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Consciousness: a neurosurgical perspective.

Acta neurochirurgica Aug 18, 2023
Neurosurgeons are in a unique position to shed light on the neural basis for consciousness, not only by their clinical care of patients with compromised states of consciousness, but also by employing neurostimulation and neuronal recordings through i...
Humans Cognition Consciousness Temporal Lobe Artificial Intelligence Brain
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Bio-inspired, task-free continual learning through activity regularization.

Biological cybernetics Aug 17, 2023
The ability to sequentially learn multiple tasks without forgetting is a key skill of biological brains, whereas it represents a major challenge to the field of deep learning. To avoid catastrophic forgetting, various continual learning (CL) approach...
Neurons Brain Neural Networks, Computer Feedback Algorithms
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Evaluation of Spiking Neural Nets-Based Image Classification Using the Runtime Simulator RAVSim.

International journal of neural systems Aug 17, 2023
Spiking Neural Networks (SNNs) help achieve brain-like efficiency and functionality by building neurons and synapses that mimic the human brain's transmission of electrical signals. However, optimal SNN implementation requires a precise balance of pa...
Nerve Net Brain Computer Simulation Humans Neural Networks, Computer Algorithms
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SWsnn: A Novel Simulator for Spiking Neural Networks.

Journal of computational biology : a journal of computational molecular cell biology Aug 16, 2023
Spiking neural network (SNN) simulators play an important role in neural system modeling and brain function research. They can help scientists reproduce and explore neuronal activities in brain regions, neuroscience, brain-like computing, and other f...
Computer Simulation Neurons Neural Networks, Computer Artificial Intelligence Brain
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Deep learning-based reconstruction for canine brain magnetic resonance imaging could improve image quality while reducing scan time.

Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association Aug 15, 2023
Optimal magnetic resonance imaging (MRI) quality and shorter scan time are challenging to achieve in veterinary practices. Recently, deep learning-based reconstruction (DLR) has been proposed for ideal image quality. We hypothesized that DLR-based MR...
Prospective Studies Brain Magnetic Resonance Imaging Dogs Signal-To-Noise Ratio Animals Deep Learning
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