about
Neuromodulated Spike-Timing-Dependent Plasticity, and Theory of Three-Factor Learning RulesRobust circuit rhythms in small circuits arise from variable circuit components and mechanismsThe frequency preference of neurons and synapses in a recurrent oscillatory network.Multiscale model of dynamic neuromodulation integrating neuropeptide-induced signaling pathway activity with membrane electrophysiology.Neuropeptide receptor transcript expression levels and magnitude of ionic current responses show cell type-specific differences in a small motor circuit.Anatomical Organization of Multiple Modulatory Inputs in a Rhythmic Motor System.Molecular variability elicits a tunable switch with discrete neuromodulatory response phenotypes.Relative Contributions of Specific Activity Histories and Spontaneous Processes to Size Remodeling of Glutamatergic Synapses.Network feedback regulates motor output across a range of modulatory neuron activitySerotonergic Modulation Differentially Targets Distinct Network Elements within the Antennal Lobe of Drosophila melanogaster.Removal of endogenous neuromodulators in a small motor network enhances responsiveness to neuromodulation.The complexity of small circuits: the stomatogastric nervous system.Convergent neuromodulation onto a network neuron can have divergent effects at the network level.Homeostatic plasticity of excitability in crustacean central pattern generator networks.The dependence of neuronal encoding efficiency on Hebbian plasticity and homeostatic regulation of neurotransmitter release.Dynamic Input Conductances Shape Neuronal Spiking(1,2).Modulation of a Single Neuron Has State-Dependent Actions on Circuit Dynamics(,.)Membrane potential resonance frequency directly influences network frequency through electrical coupling.Estimating short-term synaptic plasticity from pre- and postsynaptic spiking.A positive feedback at the cellular level promotes robustness and modulation at the circuit level.Neuromodulatory connectivity defines the structure of a behavioral neural network.Effects of ion channel noise on neural circuits: an application to the respiratory pattern generator to investigate breathing variability.Auricular Neuromodulation: The Emerging Concept beyond the Stimulation of Vagus and Trigeminal Nerves.A neural network model for familiarity and context learning during honeybee foraging flights.Serotonin disinhibits a Caenorhabditis elegans sensory neuron by suppressing Ca++-dependent negative feedback.Activity-dependent synaptic integration and modulation of bilateral excitatory inputs in an auditory coincidence detection circuit.Circuit feedback increases activity level of a circuit input through interactions with intrinsic properties.Differences in the Electrophysiological Properties of Mouse Somatosensory Layer 2/3 Neurons In Vivo and Slice Stem from Intrinsic Sources Rather than a Network-Generated High Conductance State.Prefrontal Neuronal Excitability Maintains Cocaine-Associated Memory During Retrieval.Dynamical networks: Finding, measuring, and tracking neural population activity using network scienceState-Dependent Modification of Sensory Sensitivity via Modulation of Backpropagating Action PotentialsNeurocognitive Improvement Through Plant Food Bioactives: A Particular Approach to Alzheimer’s Disease
P2860
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P2860
description
2014 nî lūn-bûn
@nan
2014年の論文
@ja
2014年学术文章
@wuu
2014年学术文章
@zh-cn
2014年学术文章
@zh-hans
2014年学术文章
@zh-my
2014年学术文章
@zh-sg
2014年學術文章
@yue
2014年學術文章
@zh
2014年學術文章
@zh-hant
name
Neuromodulation of neurons and synapses.
@en
type
label
Neuromodulation of neurons and synapses.
@en
prefLabel
Neuromodulation of neurons and synapses.
@en
P2860
P1476
Neuromodulation of neurons and synapses.
@en
P2093
Dirk Bucher
Farzan Nadim
P2860
P356
10.1016/J.CONB.2014.05.003
P577
2014-06-05T00:00:00Z