AIMC Topic: Nerve Net

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Resting-State Functional Connectivity Underlying Costly Punishment: A Machine-Learning Approach.

Neuroscience Jun 8, 2018
A large number of studies have demonstrated costly punishment to unfair events across human societies. However, individuals exhibit a large heterogeneity in costly punishment decisions, whereas the neuropsychological substrates underlying the heterog...
Brain Female Young Adult Adult Humans Machine Learning Magnetic Resonance Imaging Nerve Net Games, Experimental Punishment Male Adolescent Support Vector Machine
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Estimating Brain Connectivity With Varying-Length Time Lags Using a Recurrent Neural Network.

IEEE transactions on bio-medical engineering Jun 1, 2018
OBJECTIVE: Computer-aided estimation of brain connectivity aims to reveal information propagation in brain automatically, which has great potential in clinical applications, e.g., epilepsy foci diagnosis. Granger causality is an effective tool for di...
Nerve Net Neural Networks, Computer Algorithms Brain Epilepsy Signal Processing, Computer-Assisted Models, Statistical Humans Electroencephalography
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Large Scale Image Segmentation with Structured Loss Based Deep Learning for Connectome Reconstruction.

IEEE transactions on pattern analysis and machine intelligence May 24, 2018
We present a method combining affinity prediction with region agglomeration, which improves significantly upon the state of the art of neuron segmentation from electron microscopy (EM) in accuracy and scalability. Our method consists of a 3D U-Net, t...
Drosophila Microscopy, Electron Connectome Nerve Net Animals Deep Learning Imaging, Three-Dimensional Neurons Cerebral Cortex Image Processing, Computer-Assisted Mice Algorithms
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Patterns of thought: Population variation in the associations between large-scale network organisation and self-reported experiences at rest.

NeuroImage May 4, 2018
Contemporary cognitive neuroscience recognises unconstrained processing varies across individuals, describing variation in meaningful attributes, such as intelligence. It may also have links to patterns of on-going experience. This study examined whe...
Humans Machine Learning Female Middle Aged Adolescent Magnetic Resonance Imaging Attention Young Adult Adult Male Nerve Net Rest Limbic System Thinking Cerebral Cortex Connectome
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How Much Does Movement and Location Encoding Impact Prefrontal Cortex Activity? An Algorithmic Decoding Approach in Freely Moving Rats.

eNeuro Apr 27, 2018
Specialized brain structures encode spatial locations and movements, yet there is growing evidence that this information is also represented in the rodent medial prefrontal cortex (mPFC). Disambiguating such information from the encoding of other typ...
Neurons Rats, Long-Evans Behavior, Animal Prefrontal Cortex Nerve Net Machine Learning Locomotion Rats Space Perception Animals Electroencephalography Male
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A Dynamic Connectome Supports the Emergence of Stable Computational Function of Neural Circuits through Reward-Based Learning.

eNeuro Apr 24, 2018
Synaptic connections between neurons in the brain are dynamic because of continuously ongoing spine dynamics, axonal sprouting, and other processes. In fact, it was recently shown that the spontaneous synapse-autonomous component of spine dynamics is...
Models, Theoretical Humans Neuronal Plasticity Reward Synapses Connectome Neural Networks, Computer Nerve Net Computer Simulation Animals
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A unified hierarchical oscillatory network model of head direction cells, spatially periodic cells, and place cells.

The European journal of neuroscience Apr 16, 2018
Spatial cells in the hippocampal complex play a pivotal role in the navigation of an animal. Exact neural principles behind these spatial cell responses have not been completely unraveled yet. Here we present two models for spatial cells, namely the ...
Grid Cells Place Cells Locomotion Neural Networks, Computer Nerve Net Unsupervised Machine Learning Spatial Navigation Hippocampus Animals Models, Neurological
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A Novel Method of Building Functional Brain Network Using Deep Learning Algorithm with Application in Proficiency Detection.

International journal of neural systems Apr 11, 2018
Functional brain network (FBN) has become very popular to analyze the interaction between cortical regions in the last decade. But researchers always spend a long time to search the best way to compute FBN for their specific studies. The purpose of t...
Humans Algorithms Adult Signal Processing, Computer-Assisted Cerebral Cortex Deep Learning Electroencephalography Connectome Nerve Net
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Scale-freeness or partial synchronization in neural mass phase oscillator networks: Pick one of two?

NeuroImage Apr 4, 2018
Modeling and interpreting (partial) synchronous neural activity can be a challenge. We illustrate this by deriving the phase dynamics of two seminal neural mass models: the Wilson-Cowan firing rate model and the voltage-based Freeman model. We establ...
Models, Neurological Nerve Net Neural Networks, Computer Brain Humans Animals Models, Theoretical
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Resonance with subthreshold oscillatory drive organizes activity and optimizes learning in neural networks.

Proceedings of the National Academy of Sciences of the United States of America Mar 15, 2018
Network oscillations across and within brain areas are critical for learning and performance of memory tasks. While a large amount of work has focused on the generation of neural oscillations, their effect on neuronal populations' spiking activity an...
Nerve Net Ion Channels Rhodopsin Models, Neurological Action Potentials Neurons Computer Simulation Learning Animals Mice Neural Networks, Computer
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