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Neurons

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Multistability and instability analysis of recurrent neural networks with time-varying delays.

Neural networks : the official journal of the International Neural Network Society Oct 14, 2017
This paper provides new theoretical results on the multistability and instability analysis of recurrent neural networks with time-varying delays. It is shown that such n-neuronal recurrent neural networks have exactly [Formula: see text] equilibria, ...
Neurons Computer Simulation Time Factors Neural Networks, Computer Algorithms
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Stochastic spike synchronization in a small-world neural network with spike-timing-dependent plasticity.

Neural networks : the official journal of the International Neural Network Society Oct 12, 2017
We consider the Watts-Strogatz small-world network (SWN) consisting of subthreshold neurons which exhibit noise-induced spikings. This neuronal network has adaptive dynamic synaptic strengths governed by the spike-timing-dependent plasticity (STDP). ...
Neural Networks, Computer Synapses Stochastic Processes Electrophysiological Phenomena Long-Term Potentiation Models, Neurological Feedback Noise Neuronal Plasticity Neurons
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Visualizing deep neural network by alternately image blurring and deblurring.

Neural networks : the official journal of the International Neural Network Society Oct 10, 2017
Visualization from trained deep neural networks has drawn massive public attention in recent. One of the visualization approaches is to train images maximizing the activation of specific neurons. However, directly maximizing the activation would lead...
Neural Networks, Computer Machine Learning Algorithms Image Processing, Computer-Assisted Neurons
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Neural coding in the visual system of Drosophila melanogaster: How do small neural populations support visually guided behaviours?

PLoS computational biology Oct 10, 2017
All organisms wishing to survive and reproduce must be able to respond adaptively to a complex, changing world. Yet the computational power available is constrained by biology and evolution, favouring mechanisms that are parsimonious yet robust. Here...
Models, Neurological Neurons Behavior, Animal Neural Networks, Computer Animals Drosophila melanogaster Pattern Recognition, Visual Visual Cortex
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Fuzzy neuronal model of motor control inspired by cerebellar pathways to online and gradually learn inverse biomechanical functions in the presence of delay.

Biological cybernetics Oct 9, 2017
Contrary to forward biomechanical functions, which are deterministic, inverse biomechanical functions are generally not. Calculating an inverse biomechanical function is an ill-posed problem, which has no unique solution for a manipulator with severa...
Humans Computer Simulation Learning Movement Online Systems Models, Neurological Efferent Pathways Neurons Biomechanical Phenomena Cerebellum Fuzzy Logic
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Hebbian Learning in a Random Network Captures Selectivity Properties of the Prefrontal Cortex.

The Journal of neuroscience : the official journal of the Society for Neuroscience Oct 6, 2017
Complex cognitive behaviors, such as context-switching and rule-following, are thought to be supported by the prefrontal cortex (PFC). Neural activity in the PFC must thus be specialized to specific tasks while retaining flexibility. Nonlinear "mixed...
Female Animals Male Computer Simulation Learning Models, Neurological Neurons Macaca mulatta Prefrontal Cortex Cognition Cluster Analysis Neural Networks, Computer Machine Learning Algorithms
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SNAVA-A real-time multi-FPGA multi-model spiking neural network simulation architecture.

Neural networks : the official journal of the International Neural Network Society Oct 5, 2017
Spiking Neural Networks (SNN) for Versatile Applications (SNAVA) simulation platform is a scalable and programmable parallel architecture that supports real-time, large-scale, multi-model SNN computation. This parallel architecture is implemented in ...
Neural Networks, Computer Machine Learning Algorithms Computational Biology Cluster Analysis Neurons Nonlinear Dynamics Synapses
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Stimulus-induced transitions between spike-wave discharges and spindles with the modulation of thalamic reticular nucleus.

Journal of computational neuroscience Sep 22, 2017
It is believed that thalamic reticular nucleus (TRN) controls spindles and spike-wave discharges (SWD) in seizure or sleeping processes. The dynamical mechanisms of spatiotemporal evolutions between these two types of activity, however, are not well ...
Nonlinear Dynamics Nerve Net Electric Stimulation Action Potentials Neurons Neural Inhibition Intralaminar Thalamic Nuclei Humans Neural Networks, Computer Computer Simulation Animals Models, Neurological
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Lifelong learning of human actions with deep neural network self-organization.

Neural networks : the official journal of the International Neural Network Society Sep 20, 2017
Lifelong learning is fundamental in autonomous robotics for the acquisition and fine-tuning of knowledge through experience. However, conventional deep neural models for action recognition from videos do not account for lifelong learning but rather l...
Pattern Recognition, Visual Machine Learning Humans Robotics Neural Networks, Computer Neurons
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Synchrony measure for a neuron driven by excitatory and inhibitory inputs and its adaptation to experimentally-recorded data.

Bio Systems Sep 15, 2017
The aim of the current work is twofold: firstly to adapt an existing method measuring the input synchrony of a neuron driven only by excitatory inputs in such a way so as to account for inhibitory inputs as well and secondly to further appropriately ...
Computer Simulation Auditory Cortex Animals Neural Inhibition Guinea Pigs Models, Neurological Action Potentials Neural Networks, Computer Neurons
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