ArticleiScience2021
Emergence of prefrontal neuron maturation properties by training recurrent neural networks in cognitive tasks.
Article in iScience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Trajectories of Response Inhibition Development in Adolescence.bioRxiv : the preprint server for biology · 2026Article
- The cost of efficiency in flexible neural representations.bioRxiv : the preprint server for biology · 2026Article
- A working memory model based on recurrent neural networks using reinforcement learning.Cognitive neurodynamics · 2024Article
- Article
- Strength of Excitatory Inputs to Layer 3 Pyramidal Neurons During Synaptic Pruning in the Monkey Prefrontal Cortex: Relevance for the Pathogenesis of Schizophrenia.Biological psychiatry · 2023Article
- Neural Mechanisms of Working Memory Accuracy Revealed by Recurrent Neural Networks.Frontiers in systems neuroscience · 2022Article
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Authors and funding
4 authors.
Funding
Abstract
Working memory and response inhibition are functions that mature relatively late in life, after adolescence, paralleling the maturation of the prefrontal cortex. The link between behavioral and neural maturation is not obvious, however, making it challenging to understand how neural activity underlies the maturation of cognitive function. To gain insights into the nature of observed changes in prefrontal activity between adolescence and adulthood, we investigated the progressive changes in unit activity of recurrent neural networks as they were trained to perform working memory and response inhibition tasks. These included increased delay period activity during working memory tasks and increased activation in antisaccade tasks. These findings reveal universal properties underlying the neuronal computations behind cognitive tasks and explicate the nature of changes that occur as the result of developmental maturation.
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Registered trials
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