Related Experiment Video
Updated: Mar 2, 2026

Measurement of Ultrafast Vibrational Coherences in Polyatomic Radical Cations with Strong-Field Adiabatic Ionization
Published on: August 6, 2018
Rat mPFC and M2 Play a Waiting Game (at Different Timescales)
Angela J Langdon1, Andrew M Wikenheiser2, Geoffrey Schoenbaum2
1Princeton Neuroscience Institute, Princeton University, Princeton, NJ, 08544, USA.
Abstract:
In this issue of Neuron, Murakami et al. (2017) relate neural activity in frontal cortex to stochastic and deterministic components of waiting behavior in rats; they find that mPFC biases waiting time, while M2 is ultimately responsible for trial-to-trial variability in decisions about how long to wait.
Insights
Researchers found that the medial prefrontal cortex (mPFC) influences waiting time, while the secondary motor cortex (M2) controls variability in decisions about how long to wait in rats.
Area of Science:
- Neuroscience
- Behavioral Science
- Decision-Making
Background:
- Understanding the neural basis of decision-making is crucial for explaining complex behaviors.
- Waiting behavior involves both predictable and variable components, suggesting distinct neural underpinnings.
Purpose of the Study:
- To investigate the roles of specific frontal cortex regions in the stochastic and deterministic aspects of waiting behavior.
- To differentiate the neural mechanisms controlling waiting time versus trial-to-trial variability in decisions.
Main Methods:
- Electrophysiological recordings in rat frontal cortex during a waiting task.
- Analysis of neural activity in relation to behavioral outputs (waiting time and variability).
Main Results:
- Neural activity in the medial prefrontal cortex (mPFC) was associated with biasing the overall waiting time.
- Neural activity in the secondary motor cortex (M2) was linked to trial-to-trial variability in waiting decisions.
Conclusions:
- The medial prefrontal cortex (mPFC) plays a role in the deterministic control of waiting duration.
- The secondary motor cortex (M2) is critical for the stochastic control of decision variability in waiting tasks.
More Related Videos
Related Concept Videos
Multimachine Stability
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
Mean free path and Mean free time
Noncompartmental Analysis: Statistical Moment Theory
Pharmacodynamic Models: Link Model and Systems Pharmacodynamic Model
Noncompartmental Analysis: Mean Residence Time
After the administration of a drug through intravenous bolus injection, the drug molecules are distributed throughout the body and remain there for varying periods. The MRT represents the average time these drug molecules stay in the...

