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Data from: Recurrent myocardial infarction: mechanisms of free-floating adaptation and autonomic derangement in networked cardiac neural control
负责人:
关键词:
Myocardial infarction;Neurocardiology;Neuronal plasticity;Recurrent myocardial infarction;Cardiac neural control hierarchy;Myocardial ischemia;neural network;Sympathetic control
DOI:
doi:10.5061/dryad.6d87m
摘要:
ted that autonomic control of cardiac function includes local circuit neurons for networked control within the peripheral nervous system. The structural
Data from: Genuine cross-frequency coupling networks in human resting-state electrophysiological recordings
负责人:
关键词:
resting state;Cross-frequency coupling;Neural dynamics;Neural networks and communication;phase-amplitude coupling;stereo-electroencephalography
DOI:
doi:10.5061/dryad.0k86k80
摘要:
networks had distinct spectral patterns and opposing distribution of low- and high frequency ??network hubs, implying that they constitute distinct CFC
Data from: Identifying anatomical origins of coexisting oscillations in the cortical microcircuit
负责人:
关键词:
integrate-and-fire neurons;Gamma Oscillations;neural network;slow oscillations;laminar neural network model
DOI:
doi:10.5061/dryad.815qq
摘要:
Oscillations are omnipresent in neural population signals, like multi-unit recordings, EEG/MEG, and the local field potential. They have been linked
Data from: Molecular evolution of the neural crest regulatory network in ray-finned fish
负责人:
关键词:
development;NC-genes;cichlid;Actinopterygii;Chichlidae;hourglass model;Teleost;Teleosts;ontogeny;gene regulatory network
DOI:
doi:10.5061/dryad.75427
摘要:
Gene regulatory networks (GRN) are central to developmental processes. They are composed of transcription factors and signal
Data from: Mirrored STDP implements autoencoder learning in a network of spiking neurons
负责人:
关键词:
DOI:
doi:10.5061/dryad.kv5r4
摘要:
The autoencoder algorithm is a simple but powerful unsupervised method for training neural networks. Autoencoder networks can learn sparse
Data from: Neural structure mapping in human probabilistic reward learning
负责人:
关键词:
Homo Sapiens;Structure learning;Value-based decision making;EEG;representational similarity analysis;Homo Sapiens;neural network;Multivariate decoding
DOI:
doi:10.5061/dryad.7k7s800
摘要:
representation with 'small' numbers and 'good' bandits with 'large' numbers. Using neural network simulations, we provide a mechanistic model that explains our findings
Data from: Effective connectivity of depth-structure-selective patches in the lateral bank of the macaque intraparietal sulcus
负责人:
关键词:
microstimulation;fMRI
DOI:
doi:10.5061/dryad.m713m
摘要:
, or faces, and patches of neurons encoding similar stimulus properties are typically embedded in interconnected networks, such as the attention or fac
Data from: Modularity induced gating and delays in neuronal networks
负责人:
关键词:
DOI:
doi:10.5061/dryad.p56mf
摘要:
Neural networks, despite their highly interconnected nature, exhibit distinctly localized and gated activation. Modularity, a distinctive feature
Data from: A double-sided microscope to realize whole-ganglion imaging of membrane potential in the medicinal leech
负责人:
关键词:
Hirudo verbana
DOI:
doi:10.5061/dryad.m20kh
摘要:
Studies of neuronal network emergence during sensory processing and motor control are greatly promoted by technologies that al
Data from: Visualization of currents in neural models with similar behavior and different conductance densities
负责人:
关键词:
neuronal oscillators;leak channels;Na+ channels;K+ channels;Ca++ channels
DOI:
doi:10.5061/dryad.d0779mb
摘要:
in their conductance densities. These visualization methods provide heuristic insight into why individual neurons or networks with similar behavior

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