ArticleProceedings of the National Academy of Sciences of the United States of America2019
Biased competition in the absence of input bias revealed through corticostriatal computation.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. 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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10 citing papers in PubMed, 17 citations in OpenAlex.
- Article
- A genetic algorithm for self-supervised models of oscillatory neurodynamics.bioRxiv : the preprint server for biology · 2025Article
- Modeling and dissociation of intrinsic and input-driven neural population dynamics underlying behavior.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Bi-directional regulation of cognitive control by distinct prefrontal cortical output neurons to thalamus and striatum.Nature communications · 2021Article
- Non-invasive suppression of essential tremor via phase-locked disruption of its temporal coherence.Nature communications · 2021Article
- Prefrontal oscillations modulate the propagation of neuronal activity required for working memory.Neurobiology of learning and memory · 2020Article
- Fast spiking interneuron activity in primate striatum tracks learning of attention cues.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Threat Prediction from Schemas as a Source of Bias in Pain Perception.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020Article
- A biophysical model of striatal microcircuits suggests gamma and beta oscillations interleaved at delta/theta frequencies mediate periodicity in motor control.PLoS computational biology · 2020Article
- Flexible resonance in prefrontal networks with strong feedback inhibition.PLoS computational biology · 2018Article
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Authors and funding
6 authors at 1 institution in 2 countries.
Funding
Abstract
Classical accounts of biased competition require an input bias to resolve the competition between neuronal ensembles driving downstream processing. However, flexible and reliable selection of behaviorally relevant ensembles can occur with unbiased stimulation: striatal D1 and D2 spiny projection neurons (SPNs) receive balanced cortical input, yet their activity determines the choice between GO and NO-GO pathways in the basal ganglia. We here present a corticostriatal model identifying three mechanisms that rely on physiological asymmetries to effect rate- and time-coded biased competition in the presence of balanced inputs. First, tonic input strength determines which one of the two SPN phenotypes exhibits a higher mean firing rate. Second, low-strength oscillatory inputs induce higher firing rate in D2 SPNs but higher coherence between D1 SPNs. Third, high-strength inputs oscillating at distinct frequencies can preferentially activate D1 or D2 SPN populations. Of these mechanisms, only the latter accommodates observed rhythmic activity supporting rule-based decision making in prefrontal cortex.
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