Leor Hackel
@leorhackel.bsky.social
Assistant professor of psychology @ USC studying social learning and decision making. Social psych/social neuroscience. hackellab.org
Here, we find that neural representations of other people are biased by reward learning.
The extent of neural bias predicts self report biases, in which subjects think they are better liked by those who led to rewarding outcomes.
Rewards can shape behavior by biasing understanding.
The extent of neural bias predicts self report biases, in which subjects think they are better liked by those who led to rewarding outcomes.
Rewards can shape behavior by biasing understanding.
November 27, 2024 at 4:12 PM
Here, we find that neural representations of other people are biased by reward learning.
The extent of neural bias predicts self report biases, in which subjects think they are better liked by those who led to rewarding outcomes.
Rewards can shape behavior by biasing understanding.
The extent of neural bias predicts self report biases, in which subjects think they are better liked by those who led to rewarding outcomes.
Rewards can shape behavior by biasing understanding.
Excited to share new work in TiCS
on Simplifying Social Learning: authors.elsevier.com/a/1iZ4S4sIRv...
We highlight how social expertise lets us simplify complex reinforcement learning, offering a prototype for how people can turn hard learning problems into easier ones.
on Simplifying Social Learning: authors.elsevier.com/a/1iZ4S4sIRv...
We highlight how social expertise lets us simplify complex reinforcement learning, offering a prototype for how people can turn hard learning problems into easier ones.
February 7, 2024 at 5:43 PM
Excited to share new work in TiCS
on Simplifying Social Learning: authors.elsevier.com/a/1iZ4S4sIRv...
We highlight how social expertise lets us simplify complex reinforcement learning, offering a prototype for how people can turn hard learning problems into easier ones.
on Simplifying Social Learning: authors.elsevier.com/a/1iZ4S4sIRv...
We highlight how social expertise lets us simplify complex reinforcement learning, offering a prototype for how people can turn hard learning problems into easier ones.