AIMC Topic: Neurons

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A time-delay neural network for solving time-dependent shortest path problem.

Neural networks : the official journal of the International Neural Network Society Mar 21, 2017
This paper concerns the time-dependent shortest path problem, which is difficult to come up with global optimal solution by means of classical shortest path approaches such as Dijkstra, and pulse-coupled neural network (PCNN). In this study, we propo...
Neurons Problem Solving Humans Algorithms Time Factors Neural Networks, Computer
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Extending the Stabilized Supralinear Network model for binocular image processing.

Neural networks : the official journal of the International Neural Network Society Mar 18, 2017
The visual cortex is both extensive and intricate. Computational models are needed to clarify the relationships between its local mechanisms and high-level functions. The Stabilized Supralinear Network (SSN) model was recently shown to account for ma...
Humans Neural Networks, Computer Visual Perception Visual Cortex Vision, Binocular Neurons Computer Simulation Photic Stimulation Orientation Animals
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Neuronify: An Educational Simulator for Neural Circuits.

eNeuro Mar 17, 2017
Educational software (apps) can improve science education by providing an interactive way of learning about complicated topics that are hard to explain with text and static illustrations. However, few educational apps are available for simulation of ...
Neural Networks, Computer Periodicity Touch Neural Inhibition Neurons Vision, Ocular Synaptic Transmission Neurosciences Electric Stimulation Models, Neurological Action Potentials Animals Mobile Applications
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Collective mutual information maximization to unify passive and positive approaches for improving interpretation and generalization.

Neural networks : the official journal of the International Neural Network Society Mar 16, 2017
The present paper aims to propose a simple method to realize mutual information maximization for better interpretation and generalization. To train neural networks and obtain better performance, neurons should impartially consider as many input patte...
Learning Australia Neurons Neural Networks, Computer Algorithms Humans
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Synchronised firing patterns in a random network of adaptive exponential integrate-and-fire neuron model.

Neural networks : the official journal of the International Neural Network Society Mar 16, 2017
We have studied neuronal synchronisation in a random network of adaptive exponential integrate-and-fire neurons. We study how spiking or bursting synchronous behaviour appears as a function of the coupling strength and the probability of connections,...
Probability Action Potentials Neurons Neural Networks, Computer Models, Neurological Humans
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Deep Learning Segmentation of Optical Microscopy Images Improves 3-D Neuron Reconstruction.

IEEE transactions on medical imaging Mar 8, 2017
Digital reconstruction, or tracing, of 3-D neuron structure from microscopy images is a critical step toward reversing engineering the wiring and anatomy of a brain. Despite a number of prior attempts, this task remains very challenging, especially w...
Neural Networks, Computer Machine Learning Imaging, Three-Dimensional Neurons Algorithms Microscopy Brain
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Dynamics of complex-valued fractional-order neural networks.

Neural networks : the official journal of the International Neural Network Society Mar 6, 2017
The dynamics of complex-valued fractional-order neuronal networks are investigated, focusing on stability, instability and Hopf bifurcations. Sufficient conditions for the asymptotic stability and instability of a steady state of the network are deri...
Algorithms Neurons Neural Networks, Computer
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Sparse and Specific Coding during Information Transmission between Co-cultured Dentate Gyrus and CA3 Hippocampal Networks.

Frontiers in neural circuits Mar 6, 2017
To better understand encoding and decoding of stimulus information in two specific hippocampal sub-regions, we isolated and co-cultured rat primary dentate gyrus (DG) and CA3 neurons within a two-chamber device with axonal connectivity via micro-tunn...
Evoked Potentials Dentate Gyrus Models, Neurological Neurons Animals Machine Learning Rats Nerve Net CA3 Region, Hippocampal Cells, Cultured Microelectrodes
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Stability and instability of a neuron network with excitatory and inhibitory small-world connections.

Neural networks : the official journal of the International Neural Network Society Mar 2, 2017
This study considers a delayed neural network with excitatory and inhibitory shortcuts. The global stability of the trivial equilibrium is investigated based on Lyapunov's direct method and the delay-dependent criteria are obtained. It is shown that ...
Neural Networks, Computer Neurons Neural Inhibition
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Cracking the barcode of fullerene-like cortical microcolumns.

Neuroscience letters Feb 24, 2017
Artificial neural systems and nervous graph theoretical analysis rely upon the stance that the neural code is embodied in logic circuits, e.g., spatio-temporal sequences of ON/OFF spiking neurons. Nevertheless, this assumption does not fully explain ...
Fullerenes Humans Neural Networks, Computer Models, Neurological Neurons Neural Pathways Brain Animals
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