Davide Gheza
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davideghez.bsky.social
Davide Gheza
@davideghez.bsky.social
Science worker. Postdoc at CDMlab in Washington University in St Louis

cognitive control | decision making | reinforcement learning | their neural codes

Plinths and hinges fan.
#psynom24 is coming up. On Fri 22nd I will be talking about cognitive control with multiple distractors, including ↓
Hold your amphibians!
November 13, 2024 at 9:24 PM
With a neural network model, we show that you need multiple, distractor-specific conflict monitors.
October 17, 2023 at 10:49 PM
We observe within-dimension adaptation, but absence of cross-dimension adaptation.

Put simpler, participants adapted attention to a given dimension based selectively on the congruency history of that dimension with the cued task.
October 17, 2023 at 10:48 PM
Control adaptation in the MULTI produces parametric congruency sequence effects.

You are robust to congruency effects the more you have been previously exposed to incongruence (flatter, lighter lines).

(Check out @hritz.bsky.social’s new paper for a related, convergent, finding!)
October 17, 2023 at 10:47 PM
The congruency of non-cued dimensions spans from 0 (all incongruent) to 3 (all congruent). This leads to parametric effects on responses to the cued dimension.
Also, interference comes from everywhere: Any non-cued dimension interfere with any cued task (as in the best families).
October 17, 2023 at 10:46 PM
In our new MULTI paradigm, two stimuli differ across 4 dimensions. Your need to find the instructed feature for a given cued dimension (aka ‘write the epitaph’).
The three other dimensions can either facilitate or interfere (i.e., your sister and your aunt).
October 17, 2023 at 10:45 PM
Families can be large.

Could you compose your cousin's epitaph while your sister shares his life stories, and also suppress your aunt’s push for more lasagne?
October 17, 2023 at 10:45 PM