Naoshige Uchida

1 month ago | nature.com | Zhiyu Tian |Ryunosuke Amo |Yizhou Zhuo |Malcolm Campbell |Naoshige Uchida

AbstractResponding appropriately to potential threats before they materialize is critical to avoiding disastrous outcomes. Here we examine how threat-coping behavior is regulated by the tail of the striatum (TS) and its dopamine input. Mice were presented with a potential threat (a moving object) while pursuing rewards. Initially, the mice failed to obtain rewards but gradually improved in later trials.

Sep 13, 2024 | thetransmitter.org | Naoshige Uchida |Angie Voyles Askham |Kevin G. Bender |Paul Middlebrooks

How do animals learn from experiences? An influential idea is that animals constantly make predictions and compare them with what actually happens. When their predictions fail to align with reality, they adjust them. When there is no discrepancy, there is no need for learning. In other words, it is the surprise, or “prediction error,” that drives learning. In the brain, dopamine is thought to provide a type of surprise signal.

Sep 12, 2024 | thetransmitter.org | Angie Voyles Askham |Naoshige Uchida |Giorgia Guglielmi

Vijay Mohan K. Namboodiri is assistant professor of neurology at University of California, San Francisco. His lab studies the neuronal network mechanisms underlying learning, memory and decision-making in both health and disease. Early work from his lab has focused on the algorithmic basis of associative learning and dopaminergic brain mechanisms underlying such learning.

Sep 11, 2024 | thetransmitter.org | Naoshige Uchida |Angie Voyles Askham |Giorgia Guglielmi

Naoshige Uchida is professor of molecular and cellular biology at Harvard University. He studies the neurobiological mechanisms underlying decision-making and reinforcement learning, using rodent models. He received his Ph.D. from Kyoto University, where he worked on the molecular mechanism of synaptic adhesions in Masatoshi Takeichi’s laboratory. Uchida first began studying olfactory coding in Kensaku Mori’s laboratory at the RIKEN Center for Brain Science. He then joined Zachary F.

Jul 25, 2024 | nature.com | Samuel J. Gershman |Sandeep Robert Datta |Scott Linderman |Bernardo L. Sabatini |Naoshige Uchida

AbstractThe most influential account of phasic dopamine holds that it reports reward prediction errors (RPEs). The RPE-based interpretation of dopamine signaling is, in its original form, probably too simple and fails to explain all the properties of phasic dopamine observed in behaving animals. This Perspective helps to resolve some of the conflicting interpretations of dopamine that currently exist in the literature.