AIMC Topic: Models, Neurological

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Multi-Connection Pattern Analysis: Decoding the representational content of neural communication.

NeuroImage Aug 13, 2017
The lack of multivariate methods for decoding the representational content of interregional neural communication has left it difficult to know what information is represented in distributed brain circuit interactions. Here we present Multi-Connection...
Brain Mapping Pattern Recognition, Automated Neural Pathways Computer Simulation Magnetic Resonance Imaging Models, Neurological Nerve Net Humans Machine Learning Algorithms Brain
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Hidden Markov modeling of frequency-following responses to Mandarin lexical tones.

Journal of neuroscience methods Aug 12, 2017
BACKGROUND: The frequency-following response (FFR) is a scalp-recorded electrophysiological potential reflecting phase-locked activity from neural ensembles in the auditory system. The FFR is often used to assess the robustness of subcortical pitch p...
Brain Female Young Adult Male Humans Machine Learning Pitch Perception Markov Chains Neuropsychological Tests Neuronal Plasticity Speech Perception Models, Neurological Electroencephalography
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Leg-local neural mechanisms for searching and learning enhance robotic locomotion.

Biological cybernetics Aug 7, 2017
Adapting motor output based on environmental forces is critical for successful locomotion in the real world. Arthropods use at least two neural mechanisms to adjust muscle activation while walking based on detected forces. Mechanism 1 uses negative f...
Neural Pathways Feedback, Sensory Central Pattern Generators Neurons Hindlimb Learning Locomotion Biomechanical Phenomena Animals Models, Neurological Robotics
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Memory States and Transitions between Them in Attractor Neural Networks.

Neural computation Aug 4, 2017
Human memory is capable of retrieving similar memories to a just retrieved one. This associative ability is at the base of our everyday processing of information. Current models of memory have not been able to underpin the mechanism that the brain co...
Models, Neurological Humans Neurons Neural Networks, Computer Memory Brain Association
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Information reduction in a reverberatory neuronal network through convergence to complex oscillatory firing patterns.

Bio Systems Jul 27, 2017
Dynamics of a reverberating neural net is studied by means of computer simulation. The net, which is composed of 9 leaky integrate-and-fire (LIF) neurons arranged in a square lattice, is fully connected with interneuronal communication delay proporti...
Computer Simulation Models, Neurological Action Potentials Neurons Humans Nerve Net Neural Networks, Computer
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Efficient hardware implementation of the subthalamic nucleus-external globus pallidus oscillation system and its dynamics investigation.

Neural networks : the official journal of the International Neural Network Society Jul 26, 2017
Modeling and implementation of the nonlinear neural system with physiologically plausible dynamic behaviors are considerably meaningful in the field of computational neuroscience. This study introduces a novel hardware platform to investigate the dyn...
Humans Globus Pallidus Neural Networks, Computer Models, Neurological Subthalamic Nucleus
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Efficiency of rate and latency coding with respect to metabolic cost and time.

Bio Systems Jul 3, 2017
Recent studies on the theoretical performance of latency and rate code in single neurons have revealed that the ultimate accuracy is affected in a nontrivial way by aspects such as the level of spontaneous activity of presynaptic neurons, amount of n...
Nerve Net Membrane Potentials Models, Neurological Neurons Humans Computer Simulation Energy Metabolism Neural Networks, Computer Time Factors Computational Biology
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Recurrent neural networks as versatile tools of neuroscience research.

Current opinion in neurobiology Jun 29, 2017
Recurrent neural networks (RNNs) are a class of computational models that are often used as a tool to explain neurobiological phenomena, considering anatomical, electrophysiological and computational constraints. RNNs can either be designed to implem...
Models, Neurological Humans Neural Networks, Computer Neurosciences Animals
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Decision-making neural circuits mediating social behaviors : An attractor network model.

Journal of computational neuroscience Jun 29, 2017
We propose a mathematical model of a continuous attractor network that controls social behaviors. The model is examined with bifurcation analysis and computer simulations. The results show that the model exhibits stable steady states and thresholds f...
Neurons Nonlinear Dynamics Synapses Nerve Net Social Behavior Models, Theoretical Models, Neurological Decision Making Computer Simulation Animals Male Humans Neural Networks, Computer
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DCE-MRI prediction of survival time for patients with glioblastoma multiforme: using an adaptive neuro-fuzzy-based model and nested model selection technique.

NMR in biomedicine May 25, 2017
This pilot study investigates the construction of an Adaptive Neuro-Fuzzy Inference System (ANFIS) for the prediction of the survival time of patients with glioblastoma multiforme (GBM). ANFIS is trained by the pharmacokinetic (PK) parameters estimat...
Glioblastoma Brain Neoplasms Survival Analysis Magnetic Resonance Imaging Humans Adolescent Proportional Hazards Models Aged, 80 and over Fuzzy Logic Male Time Factors Young Adult Female Models, Neurological Middle Aged Contrast Media Aged Adult
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