ArticlePloS one2013
Synaptic potentiation facilitates memory-like attractor dynamics in cultured in vitro hippocampal networks.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 23 citations in OpenAlex.
- A human in vitro neuronal model for studying homeostatic plasticity at the network level.Stem cell reports · 2023Article
- MMPs in learning and memory and neuropsychiatric disorders.Cellular and molecular life sciences : CMLS · 2019Review
- Neuronal plasticity affects correlation between the size of dendritic spine and its postsynaptic density.Scientific reports · 2019Article
- Unique Features of Network Bursts Emerge From the Complex Interplay of Excitatory and Inhibitory Receptors in Rat Neocortical Networks.Frontiers in cellular neuroscience · 2019Article
- Neurogenetic profiles delineate large-scale connectivity dynamics of the human brain.Nature communications · 2018Article
- Random neuronal ensembles can inherently do context dependent coarse conjunctive encoding of input stimulus without any specific training.Scientific reports · 2018Article
- Phosphodiesterase-4 inhibition restored hippocampal long term potentiation after primary blast.Experimental neurology · 2017Article
- Article
- Network burst activity in hippocampal neuronal cultures: the role of synaptic and intrinsic currents.Journal of neurophysiology · 2016Article
- Article
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Authors and funding
4 authors at 2 institutions in 1 country.
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Abstract
Collective rhythmic dynamics from neurons is vital for cognitive functions such as memory formation but how neurons self-organize to produce such activity is not well understood. Attractor-based computational models have been successfully implemented as a theoretical framework for memory storage in networks of neurons. Additionally, activity-dependent modification of synaptic transmission is thought to be the physiological basis of learning and memory. The goal of this study is to demonstrate that using a pharmacological treatment that has been shown to increase synaptic strength within in vitro networks of hippocampal neurons follows the dynamical postulates theorized by attractor models. We use a grid of extracellular electrodes to study changes in network activity after this perturbation and show that there is a persistent increase in overall spiking and bursting activity after treatment. This increase in activity appears to recruit more "errant" spikes into bursts. Phase plots indicate a conserved activity pattern suggesting that a synaptic potentiation perturbation to the attractor leaves it unchanged. Lastly, we construct a computational model to demonstrate that these synaptic perturbations can account for the dynamical changes seen within the network.
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