ooh thanks for flagging that parallel finding!

thanks!!

thank you!!!

Anyhow, these results are probably most exciting to my fellow #memorynerds, but excited to share this work w/ everyone. Code & data publicly available: github.com/dzmemoryandc... Comments/suggestions always welcome!

And, although OA overall recall less items and make more memory errors than YA, everyone shows similar patterns in their memory errors: (1) More sound-based than meaning-based memory errors and (2) More memory errors from the earliest study positions. Again, evidence for shared memory stores.

But here, we find evidence for SHARED memory stores & CONTINUITY of processing w aging. Both YA & OA make meaning- and sound-based errors (“false memories”) from ALL list positions. This is exciting because it refutes the idea that the type of coding is tied to different underlying memory stores.

Classically, we would predict that early list positions rely on long-term, meaning-based (semantic) codes whereas late list positions rely on short-term, sound-based (phonological) codes. And w/ aging, we would expect more robust preservation of semantic (vs phonological) codes

Congrats 👏🏻👏🏻👏🏻 and thanks for being an amazing role model both in terms of the work you’re doing & putting out and the human you show up as in the world

Congrats!!!!! Can’t wait to see all the great work & students you will train

Would love to be added as well if there’s still spaces. Thanks for creating this!!

Would also love to be added! Still figuring out this platform…thanks for creating this list