This #TraineeTuesday, we are excited to introduce Aakash Basu, a graduate student in the Kaye Lab! Aakash recently published a manuscript in Biological Psychiatry exploring the role of norepinephrine in the frontal cortex in encoding a threat prediction signal.
Aakash’s research aims to uncover the molecular mechanisms that support the threat prediction across various timescales. His recent publication proposes that the release of norepinephrine in the frontal cortex signals unexpected threats and plays a crucial role in learning to anticipate future threats. This finding parallels the well-established role of dopamine as a reward prediction error signal.
However, the study also reveals that norepinephrine release can only be accurately explained by reinforcement learning models that incorporate temporal uncertainty. In other words, norepinephrine not only signals threats but also encodes information about their timing. By applying a reinforcement learning framework to aversive learning, the study sheds light on the computational role of norepinephrine in predicting threats – an area that has received less attention compared to neuromodulators involved in appetitive learning. The Kaye Lab’s work contributes to a growing effort to identify neural signatures of reinforcement learning in aversive contexts.