ArticlePloS one2020
Neuronal mechanisms for sequential activation of memory items: Dynamics and reliability.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- CPADS-30: Mastering the first 30 seconds of adult cardiac arrest resuscitation.The American journal of emergency medicine · 2025Article
- Article
- Dynamic branching in a neural network model for probabilistic prediction of sequences.Journal of computational neuroscience · 2022Article
- Article
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Authors and funding
5 authors.
Funding
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Abstract
In this article we present a biologically inspired model of activation of memory items in a sequence. Our model produces two types of sequences, corresponding to two different types of cerebral functions: activation of regular or irregular sequences. The switch between the two types of activation occurs through the modulation of biological parameters, without altering the connectivity matrix. Some of the parameters included in our model are neuronal gain, strength of inhibition, synaptic depression and noise. We investigate how these parameters enable the existence of sequences and influence the type of sequences observed. In particular we show that synaptic depression and noise drive the transitions from one memory item to the next and neuronal gain controls the switching between regular and irregular (random) activation.
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Registered trials
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