AIMC Topic: Nerve Net

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Novel relative relevance score for estimating brain connectivity from fMRI data using an explainable neural network approach.

Journal of neuroscience methods Jul 22, 2019
BACKGROUND: Functional integration or connectivity in brain is directional, non-linear as well as variable in time-lagged dependence. Deep neural networks (DNN) have become an indispensable tool everywhere, by learning higher levels of abstract and c...
Nerve Net Deep Learning Magnetic Resonance Imaging Connectome Brain Humans Adult
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Bayesian Computation through Cortical Latent Dynamics.

Neuron Jul 15, 2019
Statistical regularities in the environment create prior beliefs that we rely on to optimize our behavior when sensory information is uncertain. Bayesian theory formalizes how prior beliefs can be leveraged and has had a major impact on models of per...
Neural Networks, Computer Animals Cognition Nerve Net Bayes Theorem Macaca mulatta Frontal Lobe Neurons Time Perception Cerebral Cortex
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Spectral signatures of serotonergic psychedelics and glutamatergic dissociatives.

NeuroImage Jun 24, 2019
Classic serotonergic psychedelics are remarkable for their capacity to induce reversible alterations in consciousness of the self and the surroundings, mediated by agonism at serotonin 5-HT receptors. The subjective effects elicited by dissociative d...
Humans Ketamine Excitatory Amino Acid Antagonists Hallucinogens Lysergic Acid Diethylamide Nerve Net Machine Learning Receptors, N-Methyl-D-Aspartate Psilocybin Magnetoencephalography Adult Connectome Serotonin 5-HT2 Receptor Agonists Brain Waves
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Discrimination of bursts and tonic activity in multifunctional sensorimotor neural network using the extended hill-valley method.

Journal of neurophysiology Jun 19, 2019
Individual neurons can exhibit a wide range of activity, including spontaneous spiking, tonic spiking, bursting, or spike-frequency adaptation, and can also transition between these activity types. Manual identification of these activity patterns can...
Motor Neurons Astacoidea Neural Networks, Computer Algorithms Nerve Net Action Potentials Animals Sensory Receptor Cells Models, Biological
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Pairwise Interactions among Brain Regions Organize Large-Scale Functional Connectivity during Execution of Various Tasks.

Neuroscience Jun 8, 2019
Spatially separated brain areas interact with each other to form networks with coordinated activities, supporting various brain functions. Interaction structures among brain areas have been widely investigated through pairwise measures. However, inte...
Emotions Brain Brain Mapping Cognition Psychomotor Performance Nerve Net Humans Neural Networks, Computer Magnetic Resonance Imaging
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Putting a bug in ML: The moth olfactory network learns to read MNIST.

Neural networks : the official journal of the International Neural Network Society Jun 4, 2019
We seek to (i) characterize the learning architectures exploited in biological neural networks for training on very few samples, and (ii) port these algorithmic structures to a machine learning context. The moth olfactory network is among the simples...
Smell Nerve Net Moths Animals Support Vector Machine Reward Brain Computer Simulation Neural Networks, Computer Machine Learning
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The application of machine learning methods for prediction of metal sorption onto biochars.

Journal of hazardous materials Jun 3, 2019
The adsorption of six heavy metals (lead, cadmium, nickel, arsenic, copper, and zinc) on 44 biochars were modeled using artificial neural network (ANN) and random forest (RF) based on 353 dataset of adsorption experiments from literatures. The regres...
Wastewater Water Purification Biomass Machine Learning Charcoal Hydrogen-Ion Concentration Cations Metals, Heavy Water Pollutants, Chemical Adsorption Regression Analysis Nerve Net
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On Ev-Degree and Ve-Degree Topological Properties of Tickysim Spiking Neural Network.

Computational intelligence and neuroscience Jun 2, 2019
Topological indices are indispensable tools for analyzing networks to understand the underlying topology of these networks. Spiking neural network architecture (SpiNNaker or TSNN) is a million-core calculating engine which aims at simulating the beha...
Neurons Neural Networks, Computer Computer Simulation Nerve Net Models, Neurological
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Convolutional Neural Networks for Recognition of Lymphoblast Cell Images.

Computational intelligence and neuroscience Jun 2, 2019
This paper presents the recognition for WHO classification of acute lymphoblastic leukaemia (ALL) subtypes. The two ALL subtypes considered are T-lymphoblastic leukaemia (pre-T) and B-lymphoblastic leukaemia (pre-B). They exhibit various characterist...
Osteochondrodysplasias Recognition, Psychology Fetal Growth Retardation Neural Networks, Computer Urogenital Abnormalities Support Vector Machine Lymphocytes Humans Machine Learning Adrenal Insufficiency Nerve Net Algorithms
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Machine learning identifies unaffected first-degree relatives with functional network patterns and cognitive impairment similar to those of schizophrenia patients.

Human brain mapping May 30, 2019
Schizophrenia (SCZ) patients and their unaffected first-degree relatives (FDRs) share similar functional neuroanatomy. However, it remains largely unknown to what extent unaffected FDRs with functional neuroanatomy patterns similar to patients can be...
Connectome Nerve Net Humans Pattern Recognition, Automated Magnetic Resonance Imaging Machine Learning Cerebral Cortex Schizophrenia Family Cerebellum Adult Biomarkers Male Sensitivity and Specificity Female Cognitive Dysfunction Young Adult
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