Our lab (https://t.co/gvM6S5RjVo) is excited to review PhD applications this cycle! Check us out if you wanna do interesting stuff with brains and behavior in the woods π²π§ π²Apply to Dartmouth Psych&Brain Sciences via Guarini Grad School (https://t.co/IWXBshZdw2...) by Dec 1!
We're hiring! @DartmouthPBS is searching for a new full-time tenure-track Assistant Professor studying social interaction. We're open to a wide variety of methods and perspectives. Review of applications starts Oct 15. Details here: https://t.co/quwItqAuqA
If you're still at #sfn2024 tomorrow (Weds) am, check out @FINNLab_neuro members Clara Sava-Segal @csavasegal and Kay Liang @qiliang_kay in the nanosymposium Neural Bases of Human Social Cognition and Connection! Great speaker lineup!
If you're still at #sfn2024 tomorrow (Weds) am, check out @FINNLab_neuro members Clara Sava-Segal @csavasegal and Kay Liang @qiliang_kay in the nanosymposium Neural Bases of Human Social Cognition and Connection! Great speaker lineup!
Thx for discussing! Zooming out tho, what's the ultimate goal of brain-based identification? No matter how good it gets, we'll likely always have better ways to ID people (eg DNA, actual fingerprints). Behavior prediction is more interesting/important IMO: https://t.co/ncPfl3U1JI
@dan_marinazzo @matteo_brainnet I could be correlated with myself at 0.9 and everyone else at 0.88 (FP 100%), but does that make me just as "unique" as if I'm correlated with myself at 0.9 and everyone else at 0.1 (also FP 100%)? Technically yes (?), but doesn't square with most ppl's intuitive understanding
@dan_marinazzo @matteo_brainnet I suppose one could say these newer metrics are technically no longer "fingerprinting", but they're clearly conceptually related, and I can see why it's useful to have an umbrella term. I'm not personally in the business of policing FP terminology π€·ββοΈ
@dan_marinazzo The og FP metric (avg binary accuracy) is a useful summary stat, but there are different ways to get good FP: low within-subj variability and/or high across-subj variability. These have diff interpretations, and the newer metrics @matteo_brainnet outlines better tease them apart
Dartmouth Cognitive Science continues to grow and we are now hiring an assistant professor in artificial and natural intelligence: https://t.co/tqThHCYerO! DMs are open if have questions about the position--review starts Oct 1. Please share with anyone who would be interested!!
Our colleagues in the @dartmouth Cognitive Science Program are searching for a tenure-track assistant professor who does research at the intersection of natural and artificial intelligence. Details here: https://t.co/4e1CRQ6aBq
We're hiring! @DartmouthPBS is searching for a new full-time tenure-track Assistant Professor studying social interaction. We're open to a wide variety of methods and perspectives. Review of applications starts Oct 15. Details here: https://t.co/quwItqAuqA
Social psych friends: do you know of--or have and are willing to share--any dataset(s) of open-ended conversations with survey outcome measures (e.g., enjoyment, connectedness)? Dyads preferred, but >2 speakers also fine. Like the π₯ CANDOR dataset (even if smaller). Thanks!!
@FINNLab_neuro @katieoneuro @csavasegal@Rekha_Va@qiliang_kay@Eshjolly#CCN2024 Finally, also in the Friday poster session, I will do my best to present work led by @tommy_botch on divergences between humans and LLMs in a next-word prediction task and what they might mean: https://t.co/NEf83J4TWi
Looking forward to catching up with everyone!
@FINNLab_neuro @katieoneuro @csavasegal#CCN2024 Also on Friday, Zishan Su, @Rekha_Va, @qiliang_kay, and @Eshjolly debut some results from our new paradigm to parameterize how people vary in whether they perceive a social interaction -- and if so, what type of social interaction they perceive: https://t.co/6i48tNu7TE