At McGill University, we are working to discover how and why we remember
Montreal, QC, CAN
Joined January 2019
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sheldonmemorylab retweeted
ALSO super happy/grateful to be featured on the cover! Nothing power point can't do 💅
sheldonmemorylab retweeted
If you love autobiographical memory or other types of memory narratives, check out this CSBBCS Satellite Meeting:
ubc.ca1.qualtrics.com/jfe/fo…
Co-organizers: Peggy St Jacques, Signy Sheldon, Chris Madan and...me.
sheldonmemorylab retweeted
Its very nice to be identified as an outstanding peer reviewer. Its lots of fun and very rewarding to read all these great proposals and hammer it out in committee -- it would be more fun if our government properly funded the scientific enterprise.
As part of our celebration for #NationalVolunteerWeek, we want to recognize all our Peer Reviewers for their hard work and dedication. Thank you! 👏
ALT A collage of 12 outstanding peer reviewers
sheldonmemorylab retweeted
Our paper "A multilevel account of hippocampal function in spatial and concept learning: Bridging models of behavior and neural assemblies" is out in Science Advances! w/ @ProfData @EP_UCL @mrccbu @ScienceAdvances
Tweet storm WARNING: big science & philosophy coming up! 👇🧵 0/
sheldonmemorylab retweeted
📢 Are you interested in how autobiographical #memory changes across age- and neuropathology-related cognitive decline? Then come check out my poster with @briantlevine on Sunday morning (B60) 🌇 I'll present some of our meta-analysis findings #CNS2023
ALT Title of poster: Effects of aging, neurodegenerative disease, and MTL damage on autobiographical memory: A meta-analytic review of the Autobiographical Interview
Excited to have work describing a neurocognitive model of autobiographical memory in anxiety, done in collaboration with David Moscovitch and Morris Moscovitch
journals.sagepub.com/doi/10.…
sheldonmemorylab retweeted
🧵 What about “space” is important for episodic memory? Out now in WIREs Cog Sci, we review historical and current thinking on the relationship between space & memory and suggest that the key link is the involvement of visuospatial imagination. doi.org/10.1002/wcs.1645 1/7
sheldonmemorylab retweeted
The whole brain is a sequence generator. sciencedirect.com/science/ar…
sheldonmemorylab retweeted
Writing a great abstract can be tricky! This writing template by @Nature is super helpful 👉
sheldonmemorylab retweeted
Our paper on aging and episodic memory-guided social decision-making is out now in PNAS!!! (w/ @Indecisionwins @KA_MacNear @franreckers @Laura_A_Zaneski & twitterless Joe Kable & Dave Wolk)
Very short thread to follow... pnas.org/doi/10.1073/pnas.22…
Working with @mdgrilli is super fun and we wrote a super cool article proposing how aging isn't all bad when it comes to autobiographical memory
authors.elsevier.com/a/1frNX…
sheldonmemorylab retweeted
Please RT… Recruiting 2 research associates! (1 with MSc in PSY or related (14 months); 1 with BSc (12 months) for an MRC-funded project @UEAPsychology that explores the cognitive and neural correlates of personal semantic memory
myview.uea.ac.uk/webrecruitm…
myview.uea.ac.uk/webrecruitm…
sheldonmemorylab retweeted
Lovely study of knowledge & similarity effects on memory - expert birdwatchers organize birds based on conceptual features, novices based on perceptual features - this impacts memory in cool ways
E Wing @FordBurles @DrJenRyan1 A Gilboa @PNASNews
bit.ly/3AMGLTc
sheldonmemorylab retweeted
Easiest retweet of my life
sheldonmemorylab retweeted
Another great project from the lab from @jogaru1818 co-lead by @sylvain_baillet. The results provide evidence for the shift in Aβ-tau induced effects on neural activity from a pattern of hyperactivity to hypoactivity as AD pathology and cognitive decline increase.
If you are in San Diego don't miss my poster presentation on neurophysiological (MEG) correlates of amyloid and tau during preclinical phases of AD. Monday session - Developing topics neuroimaging biomarkers 12:30 to 2:15pm! #AAIC22 @sylvain_baillet @sylv_villeneuve @AlexWiesman
sheldonmemorylab retweeted
i think this project is so cool. congrats hongmi and @kanileke!
Published! "Predicting memory from the network structure of naturalistic events" led by the marvelous Hongmi Lee rdcu.be/cSbqZ
sheldonmemorylab retweeted
A Tutorial for Quantifying Within- and Between-Participant Variance in Multilevel Logistic Models
zpr.io/ESRa8wD27m8P
