Wave-like dopamine dynamics as a mechanism for spatiotemporal credit assignment
Cell, ISSN: 0092-8674, Vol: 184, Issue: 10, Page: 2733-2749.e16
2021
- 86Citations
- 284Captures
- 3Mentions
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations86
- Citation Indexes86
- 86
- CrossRef51
- Captures284
- Readers284
- 284
- Mentions3
- News Mentions2
- News2
- Blog Mentions1
- Blog1
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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.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0092867421003779; http://dx.doi.org/10.1016/j.cell.2021.03.046; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85104990210&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/33861952; https://linkinghub.elsevier.com/retrieve/pii/S0092867421003779; https://dx.doi.org/10.1016/j.cell.2021.03.046; https://www.cell.com/cell/fulltext/S0092-8674(21)00377-9?dgcid=raven_jbs_etoc_email#.YJ2CL1PDv8U.twitter; http://www.cell.com/article/S0092867421003779/abstract; http://www.cell.com/article/S0092867421003779/fulltext; http://www.cell.com/article/S0092867421003779/pdf; https://www.cell.com/cell/abstract/S0092-8674(21)00377-9; https://www.cell.com/cell/fulltext/S0092-8674(21)00377-9?rss=yes; https://www.cell.com/cell/fulltext/S0092-8674(21)00377-9
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