AIMC Topic: Models, Neurological

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Do Primates and Deep Artificial Neural Networks Perform Object Categorization in a Similar Manner?

The Journal of neuroscience : the official journal of the Society for Neuroscience Feb 6, 2019
Neural Networks, Computer Animals Models, Neurological Primates Humans
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Emerging techniques in statistical analysis of neural data.

Journal of computational neuroscience Feb 1, 2019
Neural Networks, Computer Data Analysis Brain Models, Neurological Humans Neurons Statistics as Topic
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Optimizing Machine Learning Methods to Improve Predictive Models of Alzheimer's Disease.

Journal of Alzheimer's disease : JAD Jan 1, 2019
BACKGROUND: Predicting clinical course of cognitive decline can boost clinical trials' power and improve our clinical decision-making. Machine learning (ML) algorithms are specifically designed for the purpose of prediction; however. identifying opti...
Humans Machine Learning Prognosis Female Apolipoproteins E Magnetic Resonance Imaging Demography Models, Neurological Predictive Value of Tests Hippocampus Middle Aged Cerebral Cortex Aged Cognitive Dysfunction Support Vector Machine Discriminant Analysis Aged, 80 and over Alzheimer Disease Longitudinal Studies Male
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Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision.

Cerebral cortex (New York, N.Y. : 1991) Dec 1, 2018
Convolutional neural network (CNN) driven by image recognition has been shown to be able to explain cortical responses to static pictures at ventral-stream areas. Here, we further showed that such CNN could reliably predict and decode functional magn...
Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Models, Neurological Female Young Adult Adult Humans Brain Mapping Pattern Recognition, Visual Visual Cortex
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Propagation delays determine neuronal activity and synaptic connectivity patterns emerging in plastic neuronal networks.

Chaos (Woodbury, N.Y.) Oct 1, 2018
In plastic neuronal networks, the synaptic strengths are adapted to the neuronal activity. Specifically, spike-timing-dependent plasticity (STDP) is a fundamental mechanism that modifies the synaptic strengths based on the relative timing of pre- and...
Dendrites Computer Simulation Normal Distribution Time Factors Axons Neural Networks, Computer Oscillometry Humans Neuronal Plasticity Nonlinear Dynamics Algorithms Synaptic Transmission Models, Neurological Brain Synapses Action Potentials Nerve Net Plastics Neurons
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Global firing rate contrast enhancement in E/I neuronal networks by recurrent synchronized inhibition.

Chaos (Woodbury, N.Y.) Oct 1, 2018
Inhibitory synchronization is commonly observed and may play some important functional roles in excitatory/inhibitory (E/I) neuronal networks. The firing rate contrast enhancement is a general feature of information processing in sensory pathways, an...
Animals Models, Neurological Action Potentials Electronic Data Processing Synaptic Transmission Neurons Synapses Humans Neural Networks, Computer Neural Inhibition Sensory Receptor Cells
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Chaos versus noise as drivers of multistability in neural networks.

Chaos (Woodbury, N.Y.) Oct 1, 2018
The multistable behavior of neural networks is actively being studied as a landmark of ongoing cerebral activity, reported in both functional Magnetic Resonance Imaging (fMRI) and electro- or magnetoencephalography recordings. This consists of a cont...
Ion Channels Magnetoencephalography Neural Conduction Cluster Analysis Models, Neurological Data Collection Stochastic Processes Oscillometry Nonlinear Dynamics Synapses Temperature Neural Networks, Computer Humans Magnetic Resonance Imaging Algorithms
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A Dynamical Systems Perspective on Flexible Motor Timing.

Trends in cognitive sciences Oct 1, 2018
A hallmark of higher brain function is the ability to rapidly and flexibly adjust behavioral responses based on internal and external cues. Here, we examine the computational principles that allow decisions and actions to unfold flexibly in time. We ...
Models, Neurological Nerve Net Motor Activity Executive Function Systems Analysis Time Perception Humans Neural Networks, Computer Animals
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Multivariate machine learning distinguishes cross-network dynamic functional connectivity patterns in state and trait neuropathic pain.

Pain Sep 1, 2018
Communication within the brain is dynamic. Chronic pain can also be dynamic, with varying intensities experienced over time. Little is known of how brain dynamics are disrupted in chronic pain, or relates to patients' pain assessed at various timesca...
Models, Neurological Humans Executive Function Neuralgia Machine Learning Nerve Net Brain
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Spiking Neural Networks with Unsupervised Learning Based on STDP Using Resistive Synaptic Devices and Analog CMOS Neuron Circuit.

Journal of nanoscience and nanotechnology Sep 1, 2018
We designed the CMOS analog integrate and fire (I&F) neuron circuit can drive resistive synaptic device. The neuron circuit consists of a current mirror for spatial integration, a capacitor for temporal integration, asymmetric negative and positive p...
Neural Networks, Computer Neuronal Plasticity Neurons Models, Neurological Unsupervised Machine Learning
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