doi.org/10.1016/j.co...

(1) causal links to creative abilities, (2) associative thinking, (3) idea evaluation, and (4) diverse functional integration.

The discussion will take place on zoom - you can register directly from here:

t.co/8R1j9rOHjX

Thank you Creativity Research Network for setting up the event!
See you next Thursday!

I'll be discussing the findings from my recent Cerebral Cortex article

Enhancing creativity with covert neurofeedback: causal evidence for default-executive network coupling in creative thinking

t.co/Q0JlPnVmf3

Our findings constitute the first direct evidence that coupling between the DMN and ECN is causally involved in driving creative performance.

Read the paper for more details, there's much more to explore!

Behaviorally, we observed a double dissociation.

The experimental neurofeedback led to benefits in AUT performance, while the motor control neurofeedback led to benefits in Go/No-Go performance.

Participants completed two tasks.

Alternate Uses Task (AUT) : Measures creative performance.
Go/No-Go Task : Measures motor performance and sustained attention.

We administered covert neurofeedback -

Where the participant is not aware that we are entraining their brain activity, allowing for unbiased evaluations of cognitive and neural impacts.

For more details on covert neurofeedback :
t.co/Q0iBQpEBEh

Participants were assigned to either an experimental or control neurofeedback condition.

Experimental Neurofeedback : Entraining coupling between DMN and ECN
Motor Control Neurofeedback : Entraining coupling between DMN and a motor control region.

This was a two-day study.

Day (1) : Participants completed a pre-neurofeedback baseline on our creativity and control task. Then, they took part in the neurofeedback.
Day (2) : Participants completed the post-neurofeedback measurement

We make openly available our data, code and fine-tuned models. Check them out on OSF (links in papers).

Huge thanks to my advisor @Roger_Beaty and the many co-authors who's help was invaluable in the making of these projects.

[1] The first large multilingual solution for automated creativity scoring of narratives with LLMs.

[2] The first solution for automated scoring of quality (and originality) in a naturalistic creativity task.

[2] In our second paper, we develop two models for scoring the originality and quality of responses to the creative problem-solving task.

Correlations between human and AI scores are ≥ .79 across both metrics.

doi.org/10.1037/aca0...

[1] In the first paper, we develop and validate a model that can quickly score the originality of short stories across 11 different languages.

Correlations between human and AI originality scores are ≥ .73 across all languages.

doi.org/10.1037/aca0...