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Data from: Neural modularity helps organisms evolve to learn new skills without forgetting old
负责人:
关键词:
catastrophic forgetting evolutionary algorithm artificial neural network neural modularity
DOI:
doi:10.5061/dryad.s38n5
摘要:
. In the artificial intelligence subfield of neural networks, a barrier to that goal is that when agents learn a new skill they typically do so by losing previously acquired skills
Data from: Nonlinear growth: an origin of hub organization in complex networks
负责人:
关键词:
complex networks;Network growth model;Hubs;Neural development;Rich-club organization
DOI:
doi:10.5061/dryad.6h8pm
摘要:
ich-club organization of networks ranging from protein–protein, neuronal and fibre tract brain networks to airline networks. Moreover, nonlinear growth give
Data from: Scalability of asynchronous networks is limited by one-to-one mapping between effective connectivity and correlations
负责人:
关键词:
binary neurons;integrate-and-fire neurons;network scaling;asynchronous networks;correlations
DOI:
doi:10.5061/dryad.2m85h
摘要:
ged correlations under a change in numbers of neurons or synapses in the asynchronous regime typical of cortical networks. We find that mean activities
Data from: Stability of spontaneous, correlated activity in mouse auditory cortex
负责人:
关键词:
cortical networks;dynamics;two-photon imaging;auditory cortex;Mus musculus;network
DOI:
doi:10.5061/dryad.85387h3
摘要:
science. The methods are flexible and easily extended to additional datasets, opening the possibility of studying cellular level network organization of neural
Data from: The evolutionary origins of hierarchy
负责人:
关键词:
Evolving Hierarchical Solutions;Neural Network Connection Cost and Hierarchy
DOI:
doi:10.5061/dryad.60hp6
摘要:
Hierarchical organization—the recursive composition of sub-modules—is ubiquitous in biological networks, including neural, metabolic, ecological
Data from: An integrated iterative annotation technique for easing neural network training in medical image analysis
负责人:
关键词:
T2-weighted;MRI;prostate;annotation
DOI:
doi:10.5061/dryad.617n11q
摘要:
Neural networks promise to bring robust, quantitative analysis to medical fields. However, their adoption is limited by the technical
Data from: Social interactions elicit rapid shifts in functional connectivity in the social decision-making network of zebrafish
负责人:
关键词:
functional connectivity;Danio rerio;functional localization;mesolimbic reward system;neural context;Zebrafish;social behaviour network
DOI:
doi:10.5061/dryad.826h4
摘要:
and suggests that the neural context in which a given node of the network is operating (i.e. the state of its interconnected areas) is central to its functional
Data from: Identifying the core components of emotional intelligence: evidence from amplitude of low-frequency fluctuations during resting state
负责人:
关键词:
fMRI;social neuroscience;emotional intelligence
DOI:
doi:10.5061/dryad.1dm02
摘要:
, cerebellum and right precuneus). These findings suggest that the neural correlates of EI involve several brain regions in two crucial networks, which reflect
Data from: Using deep learning to quantify the beauty of outdoor places
负责人:
关键词:
Deep learning;online data;Environmental aesthetics;wellbeing;convolutional neural networks
DOI:
doi:10.5061/dryad.rq4s3
摘要:
locations. Our findings demonstrate how online data combined with neural networks can provide a deeper understanding of what environments we mig
Data from: Fundamental activity constraints lead to specific interpretations of the connectome
负责人:
关键词:
cortex;Neurons;Neural networks;Network analysis;System instability;connectome;macaque;Single neuron function;Membrane potential;Simulation and modeling;mean-field theory
DOI:
doi:10.5061/dryad.vn342
摘要:
istic network models of spiking neurons are necessarily underconstrained even if experimental data on brain connectivity are incorporated to the best of our knowledge

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