Impact of Active Dendrites and Structural Plasticity on the Memory Capacity of Neural Tissue
@article{Poirazi2001ImpactOA, title={Impact of Active Dendrites and Structural Plasticity on the Memory Capacity of Neural Tissue}, author={P. Poirazi and Bartlett W. Mel}, journal={Neuron}, year={2001}, volume={29}, pages={779-796} }
582 Citations
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It is argued that the location of synapses in the dendritic tree, and the type of dendrite excitability associated with each synapse, play decisive roles in determining the plastic properties of that synapse.
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A simplified model of structural plasticity is derived to enable large scale simulation of memory phenomena, and the close links between effectual connectivity and both information storage capacity of neural networks and effective connectivity as commonly employed in functional brain imaging and connectome analysis are shown.
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It is shown that E/I synapses are regulated across dendritic trees to maintain a constant ratio of inputs in cultured rat hippocampal neurons, providing organizational principles relevant to deciphering the structural and functional basis for neural computation within dendrite branches.
Computational subunits in thin dendrites of pyramidal cells
- BiologyNature Neuroscience
- 2004
This work combined confocal imaging and dual-site focal synaptic stimulation of identified thin dendrites in rat neocortical pyramidal neurons found that nearby inputs on the same branch summed sigmoidally, whereas widely separated inputs or inputs to different branches summed linearly.
Beyond spike-timing-dependent plasticity: a computational study of plasticity gradients across basal dendrites
- BiologybioRxiv
- 2017
Implementing biophysically realistic neuron models, this work studied how dendrites allow for multiple synaptic plasticity mechanisms to coexist in a single cell and shows how memory retention in associative learning can be prolonged in networks of neurons with dendrite.
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