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Data from: Neural modularity helps organisms evolve to learn new skills without forgetting old
- 负责人：
- 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：
- 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：
- 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：
- DOI：
- doi:10.5061/dryad.85387h3
- 摘要：
- Neural systems can be modeled as complex networks in which neural elements are represented as nodes linked to one another through structural
Data from: The evolutionary origins of hierarchy
- 负责人：
- 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：
- 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：
- 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：
- 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：
- 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：
- 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
