AIMC Topic: Nerve Net
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Machine learning-based classification of mitochondrial morphology in primary neurons and brain.
Scientific reports
Mar 4, 2021
The mitochondrial network continually undergoes events of fission and fusion. Under physiologic conditions, the network is in equilibrium and is characterized by the presence of both elongated and punctate mitochondria. However, this balanced, homeos...
Dynamics of a Large-Scale Spiking Neural Network with Quadratic Integrate-and-Fire Neurons.
Neural plasticity
Feb 23, 2021
Since the high dimension and complexity of the large-scale spiking neural network, it is difficult to research the network dynamics. In recent decades, the mean-field approximation has been a useful method to reduce the dimension of the network. In t...
Functional annotation of human cognitive states using deep graph convolution.
NeuroImage
Feb 12, 2021
A key goal in neuroscience is to understand brain mechanisms of cognitive functions. An emerging approach is "brain decoding", which consists of inferring a set of experimental conditions performed by a participant, using pattern classification of br...
Comparative study using inverse ontology cogency and alternatives for concept recognition in the annotated National Library of Medicine database.
Neural networks : the official journal of the International Neural Network Society
Feb 11, 2021
This paper introduces inverse ontology cogency, a concept recognition process and distance function that is biologically-inspired and competitive with alternative methods. The paper introduces inverse ontology cogency as a new alternative method. It ...
Reliability modelling of resting-state functional connectivity.
NeuroImage
Feb 11, 2021
Resting-state functional magnetic resonance imaging (rs-fMRI) has an inherently low signal-to-noise ratio largely due to thermal and physiological noise that attenuates the functional connectivity (FC) estimates. Such attenuation limits the reliabili...
Whole-brain modelling of resting state fMRI differentiates ADHD subtypes and facilitates stratified neuro-stimulation therapy.
NeuroImage
Feb 10, 2021
Recent advances in non-linear computational and dynamical modelling have opened up the possibility to parametrize dynamic neural mechanisms that drive complex behavior. Importantly, building models of neuronal processes is of key importance to fully ...
Deep Learning-based Classification of Resting-state fMRI Independent-component Analysis.
Neuroinformatics
Feb 5, 2021
Functional connectivity analyses of fMRI data have shown that the activity of the brain at rest is spatially organized into resting-state networks (RSNs). RSNs appear as groups of anatomically distant but functionally tightly connected brain regions....
Integrated functional neuronal network analysis of 3D silk-collagen scaffold-based mouse cortical culture.
STAR protocols
Jan 25, 2021
Bioengineered 3D tunable neuronal constructs are a versatile platform for studying neuronal network functions, offering numerous advantages over existing technologies and providing for the discovery of new biological insights. Functional neural netwo...
The Generation and Modulation of Distinct Gamma Oscillations with Local, Horizontal, and Feedback Connections in the Primary Visual Cortex: A Model Study on Large-Scale Networks.
Neural plasticity
Jan 18, 2021
Gamma oscillation (GAMMA) in the local field potential (LFP) is a synchronized activity commonly found in many brain regions, and it has been thought as a functional signature of network connectivity in the brain, which plays important roles in infor...
Neural Interactions in Developing Rhythmogenic Spinal Networks: Insights From Computational Modeling.
Frontiers in neural circuits
Dec 23, 2020
The mechanisms involved in generation of rhythmic locomotor activity in the mammalian spinal cord remain poorly understood. These mechanisms supposedly rely on both intrinsic properties of constituting neurons and interactions between them. A subset ...
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