Ethan Ancell
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Ethan Ancell has a total of 32 co-authors. Here are the top co-authors by number of shared publications:
- Michael R. Bruchas
Department of Anesthesiology and Pain Medicine, University of Washington
3 shared publications - Adam Gordon-Fennell
Center for the Neurobiology of Addiction, Pain, and Emotion, Department of Anesthesiology and Pain Medicine, Department of Pharmacology, University of Washington
2 shared publications Anthony E. English
Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, USA
2 shared publicationsAnupritaa A. Parasnis
Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, USA
2 shared publicationsAzra Suko
Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, USA
2 shared publicationsBailey A. Wells
Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, USA
2 shared publications
Latest Publications
- Open Access
- 2 September 2026
- Published by Springer Nature in Nature
- Vol. 657 (8132) , E18
Author Correction: Endocannabinoids facilitate reward engagement through retrograde gain control
- 2 September 2026
- Published by Springer Nature in Nature
- Vol. 657 (8132) , E18
Open AccessAuthor Correction: Endocannabinoids facilitate reward engagement through retrograde gain control
- 26 August 2026
- Published by Springer Nature in Nature
- Vol. 658 (8138) , 1248-1259
Endocannabinoids facilitate reward engagement through retrograde gain control
- 26 August 2026
- Published by Springer Nature in Nature
- Vol. 658 (8138) , 1248-1259
Endocannabinoids facilitate reward engagement through retrograde gain control
- 6 May 2026
- Published by Springer Nature in Nature
- Vol. 655 (8121) , 174-182
Prefrontal to ventral tegmental area dynamics drive contingency degradation
Cognitive flexibility refers to the adaptive neural processes that adjust learned behaviours as circumstances shift, supporting optimal decision-making and behavioural control. This includes the capacity to modify specific behaviours as the contingency between cues and rewards degrades. Across species1,2,3,4, the medial prefrontal cortex (mPFC) has a well-established role in controlling contingency degradation5; however, the precise neural circuit mechanisms underlying this cognitive process remain unclear. To address this gap, we developed a quantitative model of cognitive flexibility that incorporates a meta-learning parameter into an established reward prediction error learning model6,7. Our meta-reward prediction error model significantly improves accurate representation of mouse cue-evoked licking behaviour in response to degraded or enhanced cue–reward associations. Using longitudinal two-photon calcium imaging and single-cell holographic optogenetics, we found that a subset of neurons in the mPFC specifically encode the contingency degradation in a significant and causal manner. Recognizing that behavioural flexibility probably requires interactions between the mPFC and canonical reward learning circuitry, we then examined how mPFC neural signalling during contingency degradation interacts with the ventral tegmental area (VTA)—a critical hub for reward processing8. Our imaging and optogenetics data show that mPFC sends this signal to VTA, with most mPFC→VTA neurons reflecting this transmission, and that selective optogenetic stimulation of these ensembles accelerates contingency degradation. These findings reveal how prefrontal circuits facilitate flexibility, selectively halting learned behaviours through connections with subcortical reward networks.
- 6 May 2026
- Published by Springer Nature in Nature
- Vol. 655 (8121) , 174-182
Prefrontal to ventral tegmental area dynamics drive contingency degradation
Cognitive flexibility refers to the adaptive neural processes that adjust learned behaviours as circumstances shift, supporting optimal decision-making and behavioural control. This includes the capacity to modify specific behaviours as the contingency between cues and rewards degrades. Across species1,2,3,4, the medial prefrontal cortex (mPFC) has a well-established role in controlling contingency degradation5; however, the precise neural circuit mechanisms underlying this cognitive process remain unclear. To address this gap, we developed a quantitative model of cognitive flexibility that incorporates a meta-learning parameter into an established reward prediction error learning model6,7. Our meta-reward prediction error model significantly improves accurate representation of mouse cue-evoked licking behaviour in response to degraded or enhanced cue–reward associations. Using longitudinal two-photon calcium imaging and single-cell holographic optogenetics, we found that a subset of neurons in the mPFC specifically encode the contingency degradation in a significant and causal manner. Recognizing that behavioural flexibility probably requires interactions between the mPFC and canonical reward learning circuitry, we then examined how mPFC neural signalling during contingency degradation interacts with the ventral tegmental area (VTA)—a critical hub for reward processing8. Our imaging and optogenetics data show that mPFC sends this signal to VTA, with most mPFC→VTA neurons reflecting this transmission, and that selective optogenetic stimulation of these ensembles accelerates contingency degradation. These findings reveal how prefrontal circuits facilitate flexibility, selectively halting learned behaviours through connections with subcortical reward networks.