AIMC Topic: Nerve Net

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Differential Covariance: A New Method to Estimate Functional Connectivity in fMRI.

Neural computation Sep 18, 2020
Measuring functional connectivity from fMRI recordings is important in understanding processing in cortical networks. However, because the brain's connection pattern is complex, currently used methods are prone to producing false functional connectio...
Humans Neural Networks, Computer Neural Pathways Nerve Net Brain Magnetic Resonance Imaging Animals Models, Neurological Image Processing, Computer-Assisted Brain Mapping
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Learning probabilistic neural representations with randomly connected circuits.

Proceedings of the National Academy of Sciences of the United States of America Sep 18, 2020
The brain represents and reasons probabilistically about complex stimuli and motor actions using a noisy, spike-based neural code. A key building block for such neural computations, as well as the basis for supervised and unsupervised learning, is th...
Machine Learning Algorithms Brain Humans Neural Networks, Computer Neurons Nerve Net Neuronal Plasticity Models, Neurological Action Potentials
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Infrared and visible image fusion method of dual NSCT and PCNN.

PloS one Sep 18, 2020
To solve the problem that the details of fusion images are not retained well and the information of feature targets is incomplete, we proposed a new fusion method of infrared (IR) and visible (VI) image-IR and VI image fusion method of dual non-subsa...
Algorithms Cats Humans Visual Cortex Infrared Rays Animals Neural Networks, Computer Nerve Net Image Processing, Computer-Assisted Artificial Intelligence
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On stability and associative recall of memories in attractor neural networks.

PloS one Sep 17, 2020
Attractor neural networks such as the Hopfield model can be used to model associative memory. An efficient associative memory should be able to store a large number of patterns which must all be stable. We study in detail the meaning and definition o...
Memory Mental Recall Recognition, Psychology Algorithms Models, Neurological Nerve Net Humans Neural Networks, Computer
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Temporal Lobe Epilepsy Surgical Outcomes Can Be Inferred Based on Structural Connectome Hubs: A Machine Learning Study.

Annals of neurology Sep 10, 2020
OBJECTIVE: Medial temporal lobe epilepsy (TLE) is the most common form of medication-resistant focal epilepsy in adults. Despite removal of medial temporal structures, more than one-third of patients continue to have disabling seizures postoperativel...
Treatment Outcome Magnetic Resonance Imaging Neurosurgical Procedures Middle Aged ROC Curve Image Processing, Computer-Assisted Humans Nerve Net Diffusion Tensor Imaging Adult Gray Matter Drug Resistant Epilepsy Machine Learning Male Connectome Parahippocampal Gyrus Female Epilepsy, Temporal Lobe
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A Basal Ganglia Computational Model to Explain the Paradoxical Sensorial Improvement in the Presence of Huntington's Disease.

International journal of neural systems Aug 24, 2020
The basal ganglia (BG) represent a critical center of the nervous system for sensorial discrimination. Although it is known that Huntington's disease (HD) affects this brain area, it still remains unclear how HD patients achieve paradoxical improveme...
Nerve Net Substantia Nigra Auditory Perception Humans Huntington Disease Dopamine Signal Detection, Psychological Neural Networks, Computer Corpus Striatum Models, Neurological
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Frequency-dependent organization of the brain's functional network through delayed-interactions.

Neural networks : the official journal of the International Neural Network Society Aug 20, 2020
The structure of the brain network exhibits modularity at multiple spatial scales. The effect of the modular structure on the brain dynamics has been the focus of several studies in recent years but many aspects remain to be explored. For example, it...
Time Factors Neurons Humans Connectome Neural Networks, Computer Nerve Net Brain
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Identifying resting-state effective connectivity abnormalities in drug-naïve major depressive disorder diagnosis via graph convolutional networks.

Human brain mapping Aug 19, 2020
Major depressive disorder (MDD) is a leading cause of disability; its symptoms interfere with social, occupational, interpersonal, and academic functioning. However, the diagnosis of MDD is still made by phenomenological approach. The advent of neuro...
Cerebral Cortex Connectome Nerve Net Depressive Disorder, Major Deep Learning Adult Female Magnetic Resonance Imaging Male Young Adult Middle Aged Humans Prospective Studies
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Disrupted rich-club network organization and individualized identification of patients with major depressive disorder.

Progress in neuro-psychopharmacology & biological psychiatry Aug 18, 2020
BACKGROUND: Altered structural and functional brain networks have been extensively studied in major depressive disorder (MDD) patients. However, whether the differential connectivity patterns in the rich-club organization, assessed from structural br...
Humans Brain Depressive Disorder, Major Female Support Vector Machine Adult Magnetic Resonance Imaging Male Connectome Nerve Net Diffusion Tensor Imaging
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SpiFoG: an efficient supervised learning algorithm for the network of spiking neurons.

Scientific reports Aug 4, 2020
There has been a lot of research on supervised learning in spiking neural network (SNN) for a couple of decades to improve computational efficiency. However, evolutionary algorithm based supervised learning for SNN has not been investigated thoroughl...
Nerve Net Action Potentials Supervised Machine Learning Neurons
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