AIMC Topic: Models, Neurological

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In Vivo Assay of Cortical Microcircuitry in Frontotemporal Dementia: A Platform for Experimental Medicine Studies.

Cerebral cortex (New York, N.Y. : 1991) Feb 5, 2021
The analysis of neural circuits can provide crucial insights into the mechanisms of neurodegeneration and dementias, and offer potential quantitative biological tools to assess novel therapeutics. Here we use behavioral variant frontotemporal dementi...
Biomedical Research Male Middle Aged Female Aged Cerebral Cortex Neural Pathways Magnetoencephalography Models, Neurological Signal Processing, Computer-Assisted Frontotemporal Dementia Humans Machine Learning Brain
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New role for circuit expansion for learning in neural networks.

Physical review. E Feb 1, 2021
Many sensory pathways in the brain include sparsely active populations of neurons downstream from the input stimuli. The biological purpose of this expanded structure is unclear, but it may be beneficial due to the increased expressive power of the n...
Learning Models, Neurological Stochastic Processes Neural Networks, Computer
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Predicting the fMRI Signal Fluctuation with Recurrent Neural Networks Trained on Vascular Network Dynamics.

Cerebral cortex (New York, N.Y. : 1991) Jan 5, 2021
Resting-state functional MRI (rs-fMRI) studies have revealed specific low-frequency hemodynamic signal fluctuations (<0.1 Hz) in the brain, which could be related to neuronal oscillations through the neurovascular coupling mechanism. Given the vascul...
Animals Male Image Processing, Computer-Assisted Young Adult Adult Brain Mapping Electroencephalography Rest Rats Magnetic Resonance Imaging Models, Neurological Humans Neural Networks, Computer Algorithms Female Connectome Blood Vessels Cerebrovascular Circulation Default Mode Network
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Neuroengineering challenges of fusing robotics and neuroscience.

Science robotics Dec 9, 2020
Advances in neuroscience are inspiring developments in robotics and vice versa.
Bioengineering Neurosciences Robotics Biomimetics Brain-Computer Interfaces Humans Models, Neurological
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Controversial stimuli: Pitting neural networks against each other as models of human cognition.

Proceedings of the National Academy of Sciences of the United States of America Nov 24, 2020
Distinct scientific theories can make similar predictions. To adjudicate between theories, we must design experiments for which the theories make distinct predictions. Here we consider the problem of comparing deep neural networks as models of human ...
Deep Learning Cognition Models, Neurological Female Pattern Recognition, Automated Humans Adult Normal Distribution Male Pattern Recognition, Physiological
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Stability, bifurcation and phase-locking of time-delayed excitatory-inhibitory neural networks.

Mathematical biosciences and engineering : MBE Nov 10, 2020
We study a model for a network of synaptically coupled, excitable neurons to identify the role of coupling delays in generating different network behaviors. The network consists of two distinct populations, each of which contains one excitatory-inhib...
Neural Networks, Computer Models, Neurological Neurons
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Artificial Neural Networks for Neuroscientists: A Primer.

Neuron Sep 23, 2020
Artificial neural networks (ANNs) are essential tools in machine learning that have drawn increasing attention in neuroscience. Besides offering powerful techniques for data analysis, ANNs provide a new approach for neuroscientists to build models fo...
Neural Networks, Computer Brain Animals Models, Neurological Humans
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Rapid Recalibration of Peri-Personal Space: Psychophysical, Electrophysiological, and Neural Network Modeling Evidence.

Cerebral cortex (New York, N.Y. : 1991) Jul 30, 2020
Interactions between individuals and the environment occur within the peri-personal space (PPS). The encoding of this space plastically adapts to bodily constraints and stimuli features. However, these remapping effects have not been demonstrated on ...
Personal Space Touch Perception Neural Networks, Computer Reaction Time Adolescent Young Adult Brain Visual Perception Adult Female Models, Neurological Male Humans Electroencephalography
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Dynamics and bifurcations in multistable 3-cell neural networks.

Chaos (Woodbury, N.Y.) Jul 1, 2020
We disclose the generality of the intrinsic mechanisms underlying multistability in reciprocally inhibitory 3-cell circuits composed of simplified, low-dimensional models of oscillatory neurons, as opposed to those of a detailed Hodgkin-Huxley type [...
Humans Synapses Neural Networks, Computer Models, Neurological Neurons
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Invertible generalized synchronization: A putative mechanism for implicit learning in neural systems.

Chaos (Woodbury, N.Y.) Jun 1, 2020
Regardless of the marked differences between biological and artificial neural systems, one fundamental similarity is that they are essentially dynamical systems that can learn to imitate other dynamical systems whose governing equations are unknown. ...
Nerve Net Learning Humans Models, Neurological Neural Networks, Computer Synapses
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