Multiple forms of working memory emerge from synapse–astrocyte interactions in a neuron–glia network model

Por um escritor misterioso
Last updated 10 novembro 2024
Multiple forms of working memory emerge from synapse–astrocyte interactions  in a neuron–glia network model
Multiple forms of working memory emerge from synapse–astrocyte interactions  in a neuron–glia network model
Glia, Neurobiology Journal
Multiple forms of working memory emerge from synapse–astrocyte interactions  in a neuron–glia network model
Controlling synchronization of gamma oscillations by astrocytic modulation in a model hippocampal neural network
Multiple forms of working memory emerge from synapse–astrocyte interactions  in a neuron–glia network model
Astrocyte - Wikipedia
Multiple forms of working memory emerge from synapse–astrocyte interactions  in a neuron–glia network model
Modulation of working memory duration by synaptic and astrocytic mechanisms
Multiple forms of working memory emerge from synapse–astrocyte interactions  in a neuron–glia network model
Astrocytes Are Endogenous Regulators of Basal Transmission at Central Synapses: Cell
Multiple forms of working memory emerge from synapse–astrocyte interactions  in a neuron–glia network model
Structural basis of astrocytic Ca2+ signals at tripartite synapses
Multiple forms of working memory emerge from synapse–astrocyte interactions  in a neuron–glia network model
Frontiers Emerging Roles of Astrocytes in Neuro-Vascular Unit and the Tripartite Synapse With Emphasis on Reactive Gliosis in the Context of Alzheimer's Disease
Multiple forms of working memory emerge from synapse–astrocyte interactions  in a neuron–glia network model
Rapid astrocyte-dependent facilitation amplifies multi-vesicular release in hippocampal synapses - ScienceDirect
Multiple forms of working memory emerge from synapse–astrocyte interactions  in a neuron–glia network model
Cells, Free Full-Text
Multiple forms of working memory emerge from synapse–astrocyte interactions  in a neuron–glia network model
Astrocyte's self-repairing characteristics improve working memory in spiking neuronal networks - ScienceDirect

© 2014-2024 immanuelipc.com. All rights reserved.