Stable sequential dynamics in prefrontal cortex represents subjective estimation of time DOI Creative Commons
Yiting Li,

Wenqu Yin,

Xin Wang

et al.

eLife, Journal Year: 2024, Volume and Issue: 13

Published: Dec. 11, 2024

Time estimation is an essential prerequisite underlying various cognitive functions. Previous studies identified ‘sequential firing’ and ‘activity ramps’ as the primary neuron activity patterns in medial frontal cortex (mPFC) that could convey information regarding time. However, relationship between these timing behavior has not been fully understood. In this study, we utilized vivo calcium imaging of mPFC rats performing a task. We observed cells showed selective activation at trial start, end, or during interval. By aligning long-term time-lapse datasets, discovered sequential time coding were stable over weeks, while for start end constant dynamism. Furthermore, with novel design allowed animal to determine individual interval, able demonstrate real-time adjustment sequence procession speed closely tracked trial-to-trial interval variations. And errors rats’ can be primarily attributed premature ending sequence. Together, our data suggest maybe neural substrate represents under physiological conditions. results imply existence unique cell type participates time-related sequences. Future characterization provide important insights mechanism related

Language: Английский

Stable sequential dynamics in prefrontal cortex represents subjective estimation of time DOI Open Access
Yiting Li,

Wenqu Yin,

Jiawen Li

et al.

Published: May 28, 2024

Time estimation is an essential prerequisite underlying various cognitive functions. Previous studies identified “sequential firing” and “activity ramps” as the primary neuron activity patterns in medial frontal cortex (mPFC) that could convey information regarding time. However, relationship between these timing behavior has not been fully understood. In this study, we utilized vivo calcium imaging of mPFC rats performing a task. By aligning long-term time-lapse datasets, discovered sequential time coding were stable over weeks, while cells with ramping showed constant dynamism. Furthermore, novel design allowed animal to determine individual trial interval, able demonstrate real-time adjustment sequence procession speed closely tracked trial-to-trial interval variations. And errors rats’ can be primarily attributed premature ending sequence. Together, our data suggest might more relavent regime than representing under physiological conditions. results imply existence unique cell type participates time-related sequences. Future characterization provide important insights neural mechanism related

Language: Английский

Citations

0

Stable sequential dynamics in prefrontal cortex represents subjective estimation of time DOI Creative Commons
Yiting Li,

Wenqu Yin,

Xin Wang

et al.

eLife, Journal Year: 2024, Volume and Issue: 13

Published: Dec. 11, 2024

Time estimation is an essential prerequisite underlying various cognitive functions. Previous studies identified ‘sequential firing’ and ‘activity ramps’ as the primary neuron activity patterns in medial frontal cortex (mPFC) that could convey information regarding time. However, relationship between these timing behavior has not been fully understood. In this study, we utilized vivo calcium imaging of mPFC rats performing a task. We observed cells showed selective activation at trial start, end, or during interval. By aligning long-term time-lapse datasets, discovered sequential time coding were stable over weeks, while for start end constant dynamism. Furthermore, with novel design allowed animal to determine individual interval, able demonstrate real-time adjustment sequence procession speed closely tracked trial-to-trial interval variations. And errors rats’ can be primarily attributed premature ending sequence. Together, our data suggest maybe neural substrate represents under physiological conditions. results imply existence unique cell type participates time-related sequences. Future characterization provide important insights mechanism related

Language: Английский

Citations

0