Computational and theoretical neuromodeling
An enhanced staining method K-B-2R staining for three-dimensional nerve reconstruction
Three-dimensional (3D) reconstruction of human peripheral nerves, as a useful tool to understand the nerve internal information and functional basis, has become an important area of research in the peripheral ...BMC Neuroscience 2019 20:32Offline encoding impaired by epigenetic regulations of monoamines in the guided propagation model of autism
Environmental factors can modify the expression of genes, including those involved in the metabolism of neurotransmitters. Accounting for a control role of monoamine neurotransmitters, the guided propagation (GP...BMC Neuroscience 2018 19:80Biaryl scaffold-focused virtual screening for anti-aggregatory and neuroprotective effects in Alzheimer’s disease
Alzheimer’s disease (AD) is a primary cause of dementia in ageing population affecting more than 35 million people around the globe. It is a chronic neurodegenerative disease caused by defected folding and agg...BMC Neuroscience 2018 19:74In silico repurposing of antipsychotic drugs for Alzheimer’s disease
Alzheimer’s disease (AD) is the most prevalent form of dementia and represents one of the highest unmet requirements in medicine today. There is shortage of novel molecules entering into market because of poor...BMC Neuroscience 2017 18:76The order of complexity of visuomotor learning
Learning algorithms come in three orders of complexity: zeroth-order (perturbation), first-order (gradient descent), and second-order (e.g., quasi-Newton). But which of these are used in the brain? We trained ...BMC Neuroscience 2017 18:50Technical considerations of a game-theoretical approach for lesion symptom mapping
Various strategies have been used for inferring brain functions from stroke lesions. We explored a new mathematical approach based on game theory, the so-called multi-perturbation Shapley value analysis (MSA),...BMC Neuroscience 2016 17:40Empirical Bayesian significance measure of neuronal spike response
Functional connectivity analyses of multiple neurons provide a powerful bottom-up approach to reveal functions of local neuronal circuits by using simultaneous recording of neuronal activity. A statistical met...BMC Neuroscience 2016 17:27A brain-region-based meta-analysis method utilizing the Apriori algorithm
Brain network connectivity modeling is a crucial method for studying the brain’s cognitive functions. Meta-analyses can unearth reliable results from individual studies. Meta-analytic connectivity modeling is ...BMC Neuroscience 2016 17:23A mathematical model provides mechanistic links to temporal patterns in Drosophila daily activity
Circadian clocks are endogenous biochemical oscillators that control daily behavioral rhythms in all living organisms. In fruit fly, the circadian rhythms are typically studied using power spectra of multiday ...BMC Neuroscience 2016 17:14Multilevel analysis quantifies variation in the experimental effect while optimizing power and preventing false positives
In neuroscience, experimental designs in which multiple measurements are collected in the same research object or treatment facility are common. Such designs result in clustered or nested data. When clusters i...BMC Neuroscience 2015 16:94Kuramoto model simulation of neural hubs and dynamic synchrony in the human cerebral connectome
The topological structure of the wiring of the mammalian brain cortex plays an important role in shaping the functional dynamics of large-scale neural activity. Due to their central embedding in the network, h...BMC Neuroscience 2015 16:54Power spectral aspects of the default mode network in schizophrenia: an MEG study
Symptoms of schizophrenia are related to deficits in self-monitoring function, which may be a consequence of irregularity in aspects of the default mode network (DMN). Schizophrenia can also be characterized b...BMC Neuroscience 2014 15:104Functional two-way analysis of variance and bootstrap methods for neural synchrony analysis
Pairwise association between neurons is a key feature in understanding neural coding. Statistical neuroscience provides tools to estimate and assess these associations. In the mammalian brain, activating ascen...BMC Neuroscience 2014 15:96Fast construction of voxel-level functional connectivity graphs
Graph-based analysis of fMRI data has recently emerged as a promising approach to study brain networks. Based on the assessment of synchronous fMRI activity at separate brain sites, functional connectivity gra...BMC Neuroscience 2014 15:78The representation of visual depth perception based on the plenoptic function in the retina and its neural computation in visual cortex V1
How it is possible to “faithfully” represent a three-dimensional stereoscopic scene using Cartesian coordinates on a plane, and how three-dimensional perceptions differ between an actual scene and an image of ...BMC Neuroscience 2014 15:50Understanding the temporal evolution of neuronal connectivity in cultured networks using statistical analysis
Micro-Electrode Array (MEA) technology allows researchers to perform long-term non-invasive neuronal recordings in-vitro while actively interacting with the cultured neurons. Despite numerous studies carried o...BMC Neuroscience 2014 15:17Functional associations among G protein-coupled neurotransmitter receptors in the human brain
The activity of neurons is controlled by groups of neurotransmitter receptors rather than by individual receptors. Experimental studies have investigated some receptor interactions, but currently little inform...BMC Neuroscience 2014 15:16FACET – a “Flexible Artifact Correction and Evaluation Toolbox” for concurrently recorded EEG/fMRI data
In concurrent EEG/fMRI recordings, EEG data are impaired by the fMRI gradient artifacts which exceed the EEG signal by several orders of magnitude. While several algorithms exist to correct the EEG data, these...BMC Neuroscience 2013 14:138The discrimination of interaural level difference sensitivity functions: development of a taxonomic data template for modelling
A major cue for the position of a high-frequency sound source in azimuth is the difference in sound pressure levels in the two ears, Interaural Level Differences (ILDs), as a sound is presented from different ...BMC Neuroscience 2013 14:114Detecting alpha spindle events in EEG time series using adaptive autoregressive models
Rhythmic oscillatory activity is widely observed during a variety of subject behaviors and is believed to play a central role in information processing and control. A classic example of rhythmic activity is alpha...BMC Neuroscience 2013 14:101Why noise is useful in functional and neural mechanisms of interval timing?
The ability to estimate durations in the seconds-to-minutes range - interval timing - is essential for survival, adaptation and its impairment leads to severe cognitive and/or motor dysfunctions. The response ...BMC Neuroscience 2013 14:84A neural computational model for bottom-up attention with invariant and overcomplete representation
An important problem in selective attention is determining the ways the primary visual cortex contributes to the encoding of bottom-up saliency and the types of neural computation that are effective to model t...BMC Neuroscience 2012 13:145Automatic onlinespike sorting with singular value decomposition and fuzzy C-mean clustering
Understanding how neurons contribute to perception, motor functions and cognition requires the reliable detection of spiking activity of individual neurons during a number of different experimental conditions....BMC Neuroscience 2012 13:96
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