Thrilled to share this new preprint w/ @supergrrl007@nathanieldaw@marcelomattar: https://t.co/eX9Yr7bpWO
Starting with the question “what is episodic memory for?”, we propose an algorithmic theory of decision making where model-based evaluation is achieved by episodic recall.
Preprint for "Consolidation of Sequential Planning" with @evanrussek and @NeilBurgess10. We demonstrate the neural representations supporting sequential planning and the effect of memory consolidation upon them: https://t.co/JnRNr0tNEj. As talk, see also: https://t.co/Ya8YDFQCAy
I will be recruiting 💫two PhD students💫 for my new lab! (computational learning & memory applied to individual & interactive behavior, https://t.co/EXo6x5fI8Z).
Feel free to e-mail if interested and catch me at SfN! (poster 06 at 1 PM on Wed 10/09)
Reviewer refuses to recommend acceptance because the rule forbids us from updating our manuscript at this point in the process. I'm done. I've seen enough.
Major update to @BakermansJJW's compositional state space model
https://t.co/g8oMHJeUjN
In particular, a cool analysis (Figs 5, 6) showing landmark cells are built in replay. Exactly as predicted in version 1, replay is laying down compositional maps for future behaviour.
Super fun work with @Ji_An_Li How can two very different models designed with “irrelevant” objectives converge on a key mechanism, which happen to be core to human episodic memory?
1/7
If you're curious about in-context learning and human cognition, you're going to like our recent preprint! In this work, we show that the mechanisms of induction heads in LLMs are remarkably similar to those of human episodic memory. https://t.co/qObtVYoPkp
Finally, a huge thank you to @supergrrl007@nathanieldaw@marcelomattar and many others who have helped to put this project together. It’s been a long journey but we made it!
Thrilled to share this new preprint w/ @supergrrl007@nathanieldaw@marcelomattar: https://t.co/eX9Yr7bpWO
Starting with the question “what is episodic memory for?”, we propose an algorithmic theory of decision making where model-based evaluation is achieved by episodic recall.
While our work is purely simulation-based, it offers a number of empirical predictions that can be tested by measuring behavior or neural activity. As such, we hope it will provide an important first step for addressing the role of episodic memory in sequential decision tasks.
Decision making in the wild may be choosing which poster to read based on multidimensional signals including the perceived gender and race of the presenter and the spectators, while decision making in the lab be like "bet a dollar, pull a lever".
Today's mid autumn festival, which families are supposed to reunite to celebrate, and I just got news that I might not be able to go back home for at least another year. 21-day quarantine on one side and unknown visa situation on the other. I'm so tired.
@peter_boyland huh interesting... I actually had a harder time coming up with objects and ended up with 50/50 (lowest individual score was 78), but the explanation makes sense.
Seeing others' DAT score makes me wonder why a lot of people (or at least the ones tweeting) seem to come up with more concrete objects or experiences (e.g. emotion) than abstract concepts, and whether this aspect has any connection to the creativity measures...