PlumX Metrics
Embed PlumX Metrics

Wave-like dopamine dynamics as a mechanism for spatiotemporal credit assignment

Cell, ISSN: 0092-8674, Vol: 184, Issue: 10, Page: 2733-2749.e16
2021
  • 86
    Citations
  • 0
    Usage
  • 284
    Captures
  • 3
    Mentions
  • 2
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    86
  • Captures
    284
  • Mentions
    3
    • News Mentions
      2
      • News
        2
    • Blog Mentions
      1
      • Blog
        1
  • Social Media
    2
    • Shares, Likes & Comments
      2
      • Facebook
        2

Most Recent News

Geometric constraints on human brain function

Nature, Published online: 31 May 2023; doi:10.1038/s41586-023-06098-1 Cortical and subcortical activity can be parsimoniously understood as resulting from excitations of fundamental, resonant modes of the brain’s geometry rather than from modes of complex interregional connectivity.

Article Description

Significant evidence supports the view that dopamine shapes learning by encoding reward prediction errors. However, it is unknown whether striatal targets receive tailored dopamine dynamics based on regional functional specialization. Here, we report wave-like spatiotemporal activity patterns in dopamine axons and release across the dorsal striatum. These waves switch between activational motifs and organize dopamine transients into localized clusters within functionally related striatal subregions. Notably, wave trajectories were tailored to task demands, propagating from dorsomedial to dorsolateral striatum when rewards are contingent on animal behavior and in the opponent direction when rewards are independent of behavioral responses. We propose a computational architecture in which striatal dopamine waves are sculpted by inference about agency and provide a mechanism to direct credit assignment to specialized striatal subregions. Supporting model predictions, dorsomedial dopamine activity during reward-pursuit signaled the extent of instrumental control and interacted with reward waves to predict future behavioral adjustments.

Provide Feedback

Have ideas for a new metric? Would you like to see something else here?Let us know