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Article
Controllability in attention deficit hyperactivity disorder brains
The role of network metrics in exploring brain networks of mental illness is crucial. This study focuses on quantifying a node controllability index (CA-scores) and develo** a novel framework for studying th...
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Article
Detecting synaptic connections in neural systems using compressive sensing
Revealing synaptic connections between neurons is of great significance and practical value to biomedicine and bio-neurology. We present a general approach to reconstruct neuronal synapses, which is based on c...
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Article
Spatiotemporal Behavior of Small-World Neuronal Networks Using a Map-Based Model
In this paper, the dynamics of a map-based model is proposed firstly. It is a simple model which can not only reproduce rich behaviors of biological neurons but also compute efficiently. Then, the dynamics of ...
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Article
Locating and navigation mechanism based on place-cell and grid-cell models
Extensive experiments on rats have shown that environmental cues play an important role in goal locating and navigation. Major studies about locating and navigation are carried out based only on place cells. N...
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Chapter and Conference Paper
An Improved Method of Measuring Multiple Spike Train Synchrony
In both experimental and computational neuroscience, it is a frequent task to estimate the degree of synchrony or reliability between two or multiple spike trains. ISI-distance method is one of the most common...
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Article
Oscillations and synchrony in a cortical neural network
In this paper, the oscillations and synchronization status of two different network connectivity patterns based on Izhikevich model are studied. One of the connectivity patterns is a randomly connected neurona...
