Network-centered homeostasis through inhibition maintains hippocampal spatial map and cortical circuit function
| Autor: | Claudia Clopath, Victor Pedrosa, Klara Kaleb |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
QH301-705.5
hippocampus Computer science Models Neurological Hippocampus Context (language use) Optogenetics Stimulus (physiology) Hippocampal formation Inhibitory postsynaptic potential General Biochemistry Genetics and Molecular Biology inhibitory plasticity Neural activity Encoding (memory) Report Homeostatic plasticity medicine Animals Homeostasis Humans place cells Biology (General) CA1 Region Hippocampal Neurons Flexibility (engineering) Neuronal Plasticity Representation (systemics) Content-addressable memory Network dynamics medicine.anatomical_structure network homeostasis recurrent networks Synaptic plasticity Neuron Nerve Net remapping Neuroscience Function (biology) |
| Zdroj: | Cell Reports Cell Reports, Vol 36, Iss 8, Pp 109577-(2021) |
| ISSN: | 2211-1247 |
| DOI: | 10.1016/j.celrep.2021.109577 |
| Popis: | Summary 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. Graphical abstract Highlights • Input-dependent inhibitory plasticity (IDIP) provides network-wide homeostasis • IDIP can explain hippocampal remapping following place map silencing • IDIP can also provide recurrent network homeostasis with firing rate diversity Kaleb et al. show that the input-dependent inhibitory plasticity model can explain the network-centered homeostasis of firing rates reported upon optogenetic silencing of hippocampal place maps. They extend the same model to recurrent cortical networks and make experimentally testable predictions. |
| Databáze: | OpenAIRE |
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