AIMC Topic: Nerve Net
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Efficient inverse graphics in biological face processing.
Science advances
Mar 4, 2020
Vision not only detects and recognizes objects, but performs rich inferences about the underlying scene structure that causes the patterns of light we see. Inverting generative models, or "analysis-by-synthesis", presents a possible solution, but its...
Pre-Synaptic Pool Modification (PSPM): A supervised learning procedure for recurrent spiking neural networks.
PloS one
Feb 24, 2020
Learning synaptic weights of spiking neural network (SNN) models that can reproduce target spike trains from provided neural firing data is a central problem in computational neuroscience and spike-based computing. The discovery of the optimal weight...
The averaged inter-brain coherence between the audience and a violinist predicts the popularity of violin performance.
NeuroImage
Feb 18, 2020
Why is some music well-received whereas other music is not? Previous research has indicated the close temporal dependencies of neural activity among performers and among audiences. However, it is unknown whether similar neural contingencies exist bet...
Space-independent community and hub structure of functional brain networks.
NeuroImage
Feb 17, 2020
Coordinated brain activity reflects underlying cognitive processes and can be modeled as a network of inter-regional functional connections. The most costly connections in the network are long-distance correlations that, in the absence of underlying ...
Small-worldness favours network inference in synthetic neural networks.
Scientific reports
Feb 10, 2020
A main goal in the analysis of a complex system is to infer its underlying network structure from time-series observations of its behaviour. The inference process is often done by using bi-variate similarity measures, such as the cross-correlation (C...
Divisive gain modulation enables flexible and rapid entrainment in a neocortical microcircuit model.
Journal of neurophysiology
Feb 5, 2020
Neocortical circuits exhibit a rich dynamic repertoire, and their ability to achieve entrainment (adjustment of their frequency to match the input frequency) is thought to support many cognitive functions and indicate functional flexibility. Although...
Dynamics of unidirectionally-coupled ring neural network with discrete and distributed delays.
Journal of mathematical biology
Jan 30, 2020
In this paper, we consider a ring neural network with one-way distributed-delay coupling between the neurons and a discrete delayed self-feedback. In the general case of the distribution kernels, we are able to find a subset of the amplitude death re...
Acceleration of three-dimensional diffusion magnetic resonance imaging using a kernel low-rank compressed sensing method.
NeuroImage
Jan 29, 2020
Diffusion Magnetic Resonance Imaging (dMRI) has shown great potential in probing tissue microstructure and structural connectivity in the brain but is often limited by the lengthy scan time needed to sample the diffusion profile by acquiring multiple...
Ambivert degree identifies crucial brain functional hubs and improves detection of Alzheimer's Disease and Autism Spectrum Disorder.
NeuroImage. Clinical
Jan 17, 2020
Functional modules in the human brain support its drive for specialization whereas brain hubs act as focal points for information integration. Brain hubs are brain regions that have a large number of both within and between module connections. We arg...
Combining lexical and context features for automatic ontology extension.
Journal of biomedical semantics
Jan 13, 2020
BACKGROUND: Ontologies are widely used across biology and biomedicine for the annotation of databases. Ontology development is often a manual, time-consuming, and expensive process. Automatic or semi-automatic identification of classes that can be ad...
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