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Network-centered Homeostasis Through Inhibition Maintains Hippocampal Spatial Map and Cortical Circuit Function

Overview
Journal Cell Rep
Publisher Cell Press
Date 2021 Aug 25
PMID 34433026
Citations 4
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Abstract

Despite ongoing experiential change, neural activity maintains remarkable stability. Although this is thought to be mediated by homeostatic plasticity, what aspect of neural activity is conserved and how the flexibility necessary for learning and memory is maintained is not fully understood. Experimental studies suggest that there exists network-centered, in addition to the well-studied neuron-centered, control. Here we computationally study such a potential mechanism: input-dependent inhibitory plasticity (IDIP). In a hippocampal model, we show that IDIP can explain the emergence of active and silent place cells as well as remapping following silencing of active place cells. Furthermore, we show that IDIP can also stabilize recurrent dynamics while preserving firing rate heterogeneity and stimulus representation, as well as persistent activity after memory encoding. Hence, the establishment of global network balance with IDIP has diverse functional implications and may be able to explain experimental phenomena across different brain areas.

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References
1.
Goel A, Lee H . Persistence of experience-induced homeostatic synaptic plasticity through adulthood in superficial layers of mouse visual cortex. J Neurosci. 2007; 27(25):6692-700. PMC: 2601561. DOI: 10.1523/JNEUROSCI.5038-06.2007. View

2.
Csicsvari J, Hirase H, Czurko A, Buzsaki G . Reliability and state dependence of pyramidal cell-interneuron synapses in the hippocampus: an ensemble approach in the behaving rat. Neuron. 1998; 21(1):179-89. DOI: 10.1016/s0896-6273(00)80525-5. View

3.
Vogels T, Sprekeler H, Zenke F, Clopath C, Gerstner W . Inhibitory plasticity balances excitation and inhibition in sensory pathways and memory networks. Science. 2011; 334(6062):1569-73. DOI: 10.1126/science.1211095. View

4.
Wilson D, Smith G, Jacob A, Walker T, Dimidschstein J, Fishell G . GABAergic Neurons in Ferret Visual Cortex Participate in Functionally Specific Networks. Neuron. 2017; 93(5):1058-1065.e4. PMC: 5477844. DOI: 10.1016/j.neuron.2017.02.035. View

5.
Barnes S, Sammons R, Jacobsen R, Mackie J, Keller G, Keck T . Subnetwork-Specific Homeostatic Plasticity in Mouse Visual Cortex In Vivo. Neuron. 2015; 86(5):1290-303. PMC: 4460189. DOI: 10.1016/j.neuron.2015.05.010. View