We found that this memory of errors drives promotes faster learning in similar tasks.Without error, repeating the ideal action that “solves” the task didn’t help. journals.physiology.org/doi/full/10.11… 2/2
But what kind of errors promote faster future learning? Does the dog learn from from sensory prediction errors (errors predicting its movement outcomes)? Or task errors (i.e., #fail)? 3/3
Here, we manipulated #fail by enforcing #fail (target jumps away from cursor), or enforcing #win (target “jumps” to align with cursor). 4/4
Expts 1&2 show that correcting for #fails were important to encode memories that sped up subsequent learning. Sensory prediction errors alone were not enough for faster future learning. 5/5
What underpins correcting for #fails? We limited preparation time, finding that correcting for #fails didn’t only result from slow but smart strategies, but also fast and inflexible stimulus-response associations. 5/5
thank you reviewers and people who provided feedback on the preprint eg @Katinka3D raphael schween