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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:
by evolving modular neural networks. Modularity intuitively should reduce learning interference between tasks by separating functionality into physical
Data from: Modularity speeds up motor learning by overcoming mechanical bias in musculoskeletal geometry
负责人:
关键词:
DOI:
doi:10.5061/dryad.3h70d78
摘要:
neural network model of the motor control system that included three intermediate layers representing neurons in the primary motor cortex, spinal interneurons organized
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:
Conductance-based models of neural activity produce large amounts of data that can be hard to visualize and interpret. We introduce visual
Data from: Experimentally verified parameter sets for modelling heterogeneous neocortical pyramidal-cell populations
负责人:
关键词:
Wistar rat;pyramidal neurons;dynamic IV method;Neocortex;single neuron modelling;reduced neuron models
DOI:
doi:10.5061/dryad.d30k7
摘要:
-neuron modelling and statistical analyses. From the response to both square-pulse and naturalistic fluctuating stimuli, we examined the class-dependent var
Data from: Whole-cell properties of cerebellar nuclei neurons in vivo
负责人:
关键词:
in vivo electrophysiology;cerebellar nuclei;Cerebellum
DOI:
doi:10.5061/dryad.31dj3
摘要:
Cerebellar nuclei neurons integrate sensorimotor information and form the final output of the cerebellum, projecting to premotor brainstem tar
Data from: Modularity induced gating and delays in neuronal networks
负责人:
关键词:
DOI:
doi:10.5061/dryad.p56mf
摘要:
an engineered biological model, consisting of engineered rat cortical neurons, to study the role of modular topology in gating the activity bet
Data from: Bistability, non-ergodicity, and inhibition in pairwise maximum-entropy models
负责人:
关键词:
Spikes;Glauber Dynamics;Neuron;Inhibitaion;Maximum-Entropy Models;correlations;Massively Parallel Data;Bimodality;Non-Ergodicity;bistability
DOI:
doi:10.5061/dryad.n9f77
摘要:
be equivalent to 90% of the neuron population active within time-windows of few milliseconds. Several problems are connected with this bimodal
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:
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:
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: Real-time modulation of perceptual eye dominance in humans
负责人:
关键词:
Ocular dominance neural plasticity Low-pass Nature movies Movie-watching Human psychophysical data
DOI:
doi:10.5061/dryad.t8011
摘要:
Ocular dominance (OD) has long served as the model for neural plasticity. The shift of OD has been demonstrated by monocular deprivation in animal

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