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Bryan Hong

@bryanhong.bsky.social
929 followers 804 following 4 posts

Assistant Professor at the University of Guelph studying what, how, and why we remember bryan-hong.netlify.app

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Reposted by Bryan Hong
Marlene Cohen @marlenecohen.bsky.social · 10/09/2026
Now out in Nature Neuroscience: fantastic work by @cxue.bsky.social, Sol Markman et al who discovered a neural reason that performance suffers under cognitive load: “Feature interference underlies a neuronal basis for the behavioral cost of task uncertainty”. www.nature.com/articles/s41... 🧪🧵1/
nature.com
Feature interference underlies a neuronal basis for the behavioral cost of task uncertainty - Nature Neuroscience
Using a combined approach of monkey electrophysiology, artificial neural networks and human psychophysics, Xue et al. show that neuronal interference from irrelevant information underlies behavioral e...
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Thomas Talhelm @thomastalhelm.bsky.social · 16/09/2026
🚨 It's published! 🚨 This is the big one. 100 cultures, 12,000 people, 108 researchers. Why people (and our most-used surveys) get collectivism wrong and how to fix it. www.nature.com/articles/s41... @natureportfolio.nature.com
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Christopher Honey @chrishoney.bsky.social · 16/09/2026
1/ How do we sustain mental continuity in the face of interruption? @xianl-explorer.bsky.social found that, while people listen to a story, posterior medial cortex expresses a slowly evolving "background" representation of the story's context, which survived through silence and interfering tasks.
A schematic figure showing an evolving timeline of mental context during an interrupted narrative.
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Riccardo Fusaroli @fusaroli.eurosky.social · 10/09/2026
How does the architecture of a city shape the way we think, talk, and draw space? And how do spatial conventions travel across cultural generations? New paper in Open Mind, spearheaded by Z Alinam (w J Nölle, C Vesper, K Tylén & me): doi.org/10.1162/OPMI.a.380 🧵 1/
doi.org
When the City Speaks: How Urban Form Shapes the Cultural Transmission of Spatial Conceptualization
Abstract. How do urban environments shape the way people conceptualize and communicate space? Using a cultural transmission experiment in virtual reality, we asked participants to navigate one of two ...
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Taylor Chamberlain @tchamberlain.bsky.social · 19/08/2026
Sometimes we know an experience is important in the moment. Other times, its importance only becomes clear after the fact. Do these two cases have different consequences for memory? In our new paper we found that both kinds of prioritization impact memory in different ways! doi.org/10.1162/OPMI...
doi.org
Prioritizing Detailed Item Memories Through Post-Encoding Motivation Requires Consolidation
Abstract. Prioritizing memories that are motivationally salient is adaptive for goal-directed behavior, ensuring that information being retained is the most relevant to future goals. Past research dem...
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Sami Yousif @samiyousif.bsky.social · 26/08/2026
Excited about a new paper (w @russellepstein.bsky.social): "Cognitive maps as a medium for thought", in @cp-trendscognsci.bsky.social! We discuss how maps are an important 'middle ground' rep. medium, and how they may interact with a 'language of thought'. www.sciencedirect.com/science/arti...
sciencedirect.com
Cognitive maps as a medium for thought
Cognitive maps are essential for navigation, but to what extent are they involved in thinking more broadly? In this opinion article, we examine whethe…
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Lauren Homann @laurenhomann.bsky.social · 14/08/2026
New preprint w/ @barense.bsky.social! How does revisiting real-world memories reshape them, and their links to each other? Here, we examined how retrieval/restudy/no review shape more-naturalistic event memory strength (do we observe a testing effect?) and integration between related memories. 🧵
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Rayna Tang @raynatang.bsky.social · 22/07/2026
Excited to share that my first-ever first-author paper (w/ @atabk.bsky.social @AngeliqueDelarazan @zreagh.bsky.social) is now out in PNAS! Building a story to link two objects boosts associative memory and inference, but not memory for the objects themselves. www.pnas.org/doi/10.1073/... 🧵
pnas.org
Active linking through narratives facilitates associative inference | PNAS
In daily life, we often draw inferences about novel associations from prior experiences. This ability, associative inference, is thought to be a ke...
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Dr Madeleine Pownall @maddipow.bsky.social · 16/07/2026
New paper! Values such as openness, transparency, collaboration, clarity about conflict of interests have been promoted by women for *decades*, and now we have reframed this around the branding of 'open science' that we start to take them seriously. journals.sagepub.com/doi/10.1177/...
journals.sagepub.com
Women as the First Open Scientists: Five Stories of the Neglected Contributions of Women in (Social) Science Reform History - Madeleine Pownall, 2026
Recent years have seen growing emphasis on “Open Science,” a movement to enhance research transparency, robustness, and accountability. Prompted by concerns ove...
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Chris Baldassano @chrisbaldassano.bsky.social · 17/06/2026
This work is now published in Nature Communications! We were able to train participants to have near-perfect memory for lists of 40 words - they added creative details to their memory representations that we could measure in their behavior and brains 🧠 doi.org/10.1038/s414...
doi.org
Binding items to contexts through conjunctive neural representations with the method of loci - Nature Communications
This study of a mnemonic technique found that highly effective memory is supported by “conjunctive” representations in the brain’s Default Mode Network, which reflects the unique, creative details use...
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Scott Marek @smarek0502.bsky.social · 11/06/2026
What matters most for childhood brain organization? We analyzed 649 variables. The answer: Socioeconomics (SES); with brain patterns pointing at sleep & stress as drivers. Even brain-IQ associations were better explained by SES. In Science today: www.science.org/doi/10.1126/...
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Yang Teoh @yyangteoh.bsky.social · 14/04/2026
Now out in PNAS with @jaeyoungson.bsky.social, Alice Xia, @apaxon.bsky.social & @orielf.bsky.social. Medial temporal lobe encodes predictive representations of people's real-world social networks which afford them key advantages in social navigation. www.pnas.org/doi/10.1073/... 🧵
pnas.org
Medial temporal lobe encodes cognitive maps of real-world social networks | PNAS
Humans routinely solve social problems by navigating densely interconnected networks—gossiping strategically, brokering across cliques, and coordin...
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Context Lab @contextlab.bsky.social · 02/04/2026
Curious what a representation of "everything" you know might look like? Wonder how you might fill it in? Check out our demo and paper (led by @paxt0n4.bsky.social and now out in @natcomms.nature.com ), or read on to learn more! Demo: context-lab.com/mapper/ Paper: www.doi.org/10.1038/s414...
context-lab.com
Knowledge Mapper
An interactive tool that maps out everything you know. Answer questions and watch your personalized knowledge map take shape.
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Maya Rossignac-Milon @mrossignacmilon.bsky.social · 26/03/2026
New preprint! ✨ Do you and your partner have made-up words ("eggy" to mean awkward)? Do you and your bestie have an anecdote you love to tell together (that time one of you tripped over an acorn)? Do you and your closest colleague have a cherished ritual (weekly lunch at "the usual spot")? 🧵
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Nature Reviews Neuroscience @natrevneuro.nature.com · 20/03/2026
Clarifying the conceptual dimensions of representation in neuroscience — a Perspective by Stephan Pohl, Edgar Y. Walker, David L. Barack, Jennifer Lee, Rachel N. Denison, Ned Block, Florent Meyniel & Wei Ji Ma www.nature.com/articles/s41...
nature.com
Clarifying the conceptual dimensions of representation in neuroscience - Nature Reviews Neuroscience
Appeals to representation are widespread, despite neuroscientists’ uncertainty about what kind of findings count as evidence for such claims. In this Perspective, Pohl and colleagues develop a unified...
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Adi Upadhyayula @adibuoy23.bsky.social · 04/03/2026
1/ 🚨 New preprint Key Moments Scaffold the Semantic Structure of Narratives Using spoken recall and annotations from three naturalistic datasets with topic modeling, we ask: which parts of a narrative contribute most to its semantic structure and subsequently memory? Preprint: osf.io/dcfvw
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MRC Cognition and Brain Sciences Unit, University of Cambridge @mrccbu.bsky.social · 29/01/2026
Are episodic and semantic memory really that different? Using closely matched tasks, we found no substantial neural differences between recalling personal experiences and general knowledge: www.nature.com/articles/s41562-025-…
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Mariam Aly @mariamaly.bsky.social · 25/02/2026
How do we balance external attention to the outside world and internal attention to our thoughts & memories? We review evidence that external and internal attention can compete, unfold concurrently, or cooperate! Loved working on this with @samversc.bsky.social & @tobiasegner.bsky.social!
psyarxiv.com
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Rolando Masís-Obando @xrmasiso.bsky.social · 05/01/2026
What if we could tell you how well you’ll remember your next visit to your local coffee shop? ☕️ In our new Nature Human Behaviour paper, we show that the 𝗾𝘂𝗮𝗹𝗶𝘁𝘆 𝗼𝗳 𝗮 𝘀𝗽𝗮𝘁𝗶𝗮𝗹 𝗿𝗲𝗽𝗿𝗲𝘀𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 can be measured with neuroimaging – and 𝘁𝗵𝗮𝘁 𝘀𝗰𝗼𝗿𝗲 𝗽𝗿𝗲𝗱𝗶𝗰𝘁𝘀 𝗵𝗼𝘄 𝘄𝗲𝗹𝗹 𝗻𝗲𝘄 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲𝘀 𝘄𝗶𝗹𝗹 𝘀𝘁𝗶𝗰𝗸.
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M.J. Crockett @mjcrockett.bsky.social · 11/12/2025
New preprint: Empathy, Thick and Thin papers.ssrn.com/sol3/papers.... It is perhaps foolhardy to attempt to say something new about a topic as widely studied as empathy. I tried anyway! 1/

Abstract

When we empathize with someone going through something, we often draw on our past experiences with the someone and the something. These kinds of experiences ground "thick empathy", a form of empathy that has been largely overlooked in the psychology and neuroscience literature. Consider how a mother, empathizing with her daughter about to give birth, can draw on her own experience of childbirth, and her relationship with her daughter, to deeply grasp what her daughter is going through in a way that others who lack those experiences cannot. I argue that thick empathy deserves more empirical attention because it is associated with well-being and helps us build networks of effective mutual social support. My analysis highlights novel risks and dilemmas posed by "empathy machines" that promise to enhance or even replace human empathy and are becoming increasingly popular as a potential solution to widespread loneliness. Even when empathy machines provide value to individuals, their widespread adoption risks imposing collective emotional and epistemic costs that ultimately make it harder for us to empathize well.

Keywords: empathy, understanding, experience, thick description, ethnography, phenomenal knowledge, interpersonal knowledge, virtual reality, artificial intelligence, chatbots
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Bryan Hong @bryanhong.bsky.social · 01/12/2025
Excited to announce that I'll be officially starting a new role as an Assistant Professor at the University of Guelph as of today—looking forward to working with all the amazing students, faculty, and members of the Guelph community!! ✨
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Saloni @scientificdiscovery.dev · 19/11/2025
I'm surprised I only came across it now, but this review on improving communication in data visualization is excellent. journals.sagepub.com/doi/10.1177/...
journals.sagepub.com
The Science of Visual Data Communication: What Works - Steven L. Franconeri, Lace M. Padilla, Priti Shah, Jeffrey M. Zacks, Jessica Hullman, 2021
Effectively designed data visualizations allow viewers to use their powerful visual systems to understand patterns in data across science, education, health, an...
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Andrew Heiss @andrew.heiss.phd · 17/11/2025
I recently discovered Conventional Comments (conventionalcomments.org) for providing a pseudo-standard set of labels for feedback and just tried it for an article review and it was really helpful to specify issues vs. thoughts vs. suggestions, etc. Hopefully it's helpful for the authors too!
We strongly suggest using the following labels:

praise:	Praises highlight something positive. Try to leave at least one of these comments per review. Do not leave false praise (which can actually be damaging). Do look for something to sincerely praise.
nitpick:	Nitpicks are trivial preference-based requests. These should be non-blocking by nature.
suggestion:	Suggestions propose improvements to the current subject. It’s important to be explicit and clear on what is being suggested and why it is an improvement. Consider using patches and the blocking or non-blocking decorations to further communicate your intent.
issue:	Issues highlight specific problems with the subject under review. These problems can be user-facing or behind the scenes. It is strongly recommended to pair this comment with a suggestion. If you are not sure if a problem exists or not, consider leaving a question.
todo:	TODO’s are small, trivial, but necessary changes. Distinguishing todo comments from issues: or suggestions: helps direct the reader’s attention to comments requiring more involvement.
question:	Questions are appropriate if you have a potential concern but are not quite sure if it’s relevant or not. Asking the author for clarification or investigation can lead to a quick resolution.
thought:	Thoughts represent an idea that popped up from reviewing. These comments are non-blocking by nature, but they are extremely valuable and can lead to more focused initiatives and mentoring opportunities.
chore:	Chores are simple tasks that must be done before the subject can be “officially” accepted. Usually, these comments reference some common process. Try to leave a link to the process description so that the reader knows how to resolve the chore.
note:	Notes are always non-blocking and simply highlight something the reader should take note of.
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Vlad Chituc @vladchituc.bsky.social · 28/09/2025
Thrilled to announce a new paper out this weekend in @cognitionjournal.bsky.social. Moral psychologists almost always use self-report scales to study moral judgment. But there's a problem: the meaning of these scales is inherently relative. A 2 min demo (and a short thread): 1/7
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Mariam Aly @mariamaly.bsky.social · 25/09/2025
A memory can be represented at different levels of granularity, from highly specific to generalized. Different representational formats of a memory can be used at different times or in different contexts, and draw on different neural representations. doi.org/10.31234/osf...
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W. Joel Schneider @w-joel-schneider.bsky.social · 20/08/2025
Now on CRAN, ggdiagram is a #ggplot2 extension that draws diagrams programmatically in #Rstats. Allows for precise control in how objects, labels, and equations are placed in relation to each other. wjschne.github.io/ggdiagram/ar...
An arrow with a LaTeX equationTrigonometric functions and a unit circleA bivariate change model with structured residualsA hierarchical model of cognitive abilities
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Buddhika Bellana @buddhikabellana.bsky.social · 05/09/2025
How might stories shed light on brain function? Check out this opinion piece by @alexbarnett.bsky.social and I about the DMN and "situation models" -- our understanding of the current "state of affairs" in a story (or even experience). www.sciencedirect.com/science/arti...
On the left: an illustration from Brooke's 1904 rendition of Goldilocks and the Three Bears, where Little bear discovers their favourite chair is broken 😲. On the right, a sketch of what a corresponding "situation model" might contain.
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Mariam Aly @mariamaly.bsky.social · 25/08/2025
We make predictions based on general knowledge and/or specific memories. Different brain areas are active when these distinct predictions are violated – and hippocampus selectively responds to prediction errors based on episodic memory. Cool work by @chrismbird.bsky.social @ayab.bsky.social et al!
pnas.org
Hippocampal mismatch signals are based on episodic memories and not schematic knowledge | PNAS
Prediction errors drive learning by signaling mismatches between expectations and reality, but the neural systems supporting these computations rem...
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Tess Forest @tessforest.bsky.social · 06/08/2025
Happy to share "The Dynamics of Caregiver Unpredictability Shape Moment-to-Moment Infant Looking During Dyadic Interaction," out now in Child Development thanks to a large team of people I worked on this with! srcd.onlinelibrary.wiley.com/doi/pdfdirec...
srcd.onlinelibrary.wiley.com
<em>Child Development</em> | SRCD Journal | Wiley Online Library
Cognitive development is associated with how predictable caregivers are, but the mechanisms driving this are unclear. One possibility is caregiver predictability initially shapes how infants gather i...
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Allie Sinclair @asinclair.bsky.social · 04/08/2025
📣 New preprint from the SCIMaP team! Across three studies, we show that communicating the economic impact of NIH funding cuts—especially with interactive quizzes and maps—decreases approval and motivates action to oppose the cuts, across the political spectrum. 🧵 1/8 osf.io/preprints/ps...
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Alexander Huth @alexanderhuth.bsky.social · 01/08/2025
New paper with @mujianing.bsky.social & @prestonlab.bsky.social! We propose a simple model for human memory of narratives: we uniformly sample incoming information at a constant rate. This explains behavioral data much better than variable-rate sampling triggered by event segmentation or surprisal.
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Wilhelm Hofmann @wilhelmhofmann.bsky.social · 28/07/2025
📢 New commentary out today in Nature Human Behaviour! We argue that behavior change interventions often suffer from a one-sided success focus. But failures may reveal structural barriers people face. 🔗 rdcu.be/ex8hR #BehavioralScience #PublicPolicy
Comment: Rethinking behavior change interventions in policymaking
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Elisa Baek @elisabaek.bsky.social · 03/07/2025
Excited to ✨share✨ that our paper on ✨sharing✨ is published! Across 3 studies that build on one another, we show that perceived alignment with one's peers increases the likelihood of information sharing. www.nature.com/articles/s41...
nature.com
Perceived community alignment increases information sharing - Nature Communications
Information sharing is a ubiquitous and consequential behavior. Here, the authors use neuroimaging and behavioral studies to show that people are driven to share information that they believe will be ...
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Mike Frank @mcxfrank.bsky.social · 01/07/2025
Experimentology is out today!!! A group of us wrote a free online textbook for experimental methods, available at experimentology.io - the idea was to integrate open science into all aspects of the experimental workflow from planning to design, analysis, and writing.
Experimentology cover: title and curves for distributions.
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Victoria Southgate @vhsouthgate.bsky.social · 09/07/2025
Sharing our new paper published today in Nature Communications. In my view, this is our clearest demonstration to date that something profoundly changes in how infants encode the world around them before and after the emergence of self-representation. www.nature.com/articles/s41...
nature.com
The self-reference memory bias is preceded by an other-reference bias in infancy - Nature Communications
A classic feature of human memory is that we remember information better when it refers to ourselves. Here, the authors show that before the emergence of self-concept, infants instead remember informa...
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Lauren Homann @laurenhomann.bsky.social · 19/06/2025
Proud to share the first preprint of my PhD w/ @barense.bsky.social & Mursal Jahed: “Putting the testing effect to the test in the wild: Retrieval enhances real-world memories and promotes their semantic integration while preserving episodic integrity” See thread! 🧵 osf.io/preprints/ps...
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The Transmitter @thetransmitter.bsky.social · 11/04/2025
In our first “Postdoc perspectives” essay, @fleabrained.bsky.social and @maribel-patino.bsky.social explain how grassroots organizations led by trainees are stepping up to provide career and mentorship guidance for neuroscience students from marginalized backgrounds. #neuroskyence bit.ly/4csFx0B
bit.ly
As federal funders desert mentorship programs for marginalized students, trainee-led initiatives fill the gap
Grassroots organizations, led by graduate students and postdoctoral researchers, are stepping up to provide neuroscience career training and guidance for students from marginalized backgrounds—and…
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Morgan Barense @barense.bsky.social · 30/03/2025
If you're at #CNS2025 come check out our lab's Sunday line-up of posters from @catalinayang.bsky.social, @bryanhong.bsky.social, @nellymatorina.bsky.social, and @laurenhomann.bsky.social.
CNS 2025 presentations from the Barense lab
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Eiko Fried @eikofried.bsky.social · 12/03/2025
Are you doing EMA research and wonder how to go about it? In recent work we've adressed some open questions and challenges, here is a brief summary of papers and materials. 🧵 #PsychSciSky 🧪 #StatsSky
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Brian Levine @brianlevine.bsky.social · 12/03/2025
Thrilled to see this paper out in @naturehumbehav.bsky.social after years of work by Drs. @diamondn.bsky.social and @stefsimpson.bsky.social, with Drs. Stuart Fogel, Daniel Baena, and Brian J Murray! @baycrestfoundation.bsky.social
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M.J. Crockett @mjcrockett.bsky.social · 22/02/2025
Grateful for the chance to share my thoughts on responsible use of LLMs in psychology research @spspnews.bsky.social #spsp2025. Here's a summary of my presentation for those who missed it. Thanks to @ashwinia.bsky.social for organizing this panel! How should LLMs be used in psychology research? 🧵
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Morgan Barense @barense.bsky.social · 27/01/2025
“I am in here!” It's a sentiment I've seen expressed time and time again from non-speaking autistic individuals who were thought to be unable to express their thoughts - but ultimately gained access to communication. Hearing this call, my research is expanding in some new directions.
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Oded Bein @odedbein.bsky.social · 07/01/2025
Excited to share this perspective with @yaelniv.bsky.social about how schemas might be learned and instantiated via reinforcement learning, latent cause inference, and dimensionality reduction, and what's the medial prefrontal cortex might be doing for all of these www.nature.com/articles/s41...
nature.com
Schemas, reinforcement learning and the medial prefrontal cortex - Nature Reviews Neuroscience
A computational account of how schemas are learned through experience is lacking. In this Perspective, Bein and Niv synthesize schema theory and reinforcement learning research to derive computational...
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Spacing @spacing.bsky.social · 21/01/2025
A exhibition at Waterloo architecture collects memories and mementos of Toronto's Chinatown, along with scale models of restaurants, to reimagine community heritage through storytelling. spacing.ca/toronto/2025...
spacing.ca
Chinatown Memory Collectors - Spacing Toronto
A shiny sword, a stack of red packets, old Chinese books and brochures, a wooden folding fan, a souvenir mug, and faded photos of seniors – all are carefully displayed on a large round table draped in...
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Elvisha Dhamala @elvisha.bsky.social · 27/12/2024
Thrilled to share our latest work on the importance of considering social identities in brain imaging research, now out in @natureneuro.bsky.social. rdcu.be/d4XWM
Visual highlighting how sociodemographic identities influence brain, behavior, and brain-behavior relationships. 
Figure caption: key goal of research in the brain sciences is to capture relationships between the brain and behavior. When studying these brain–behavior relationships, it is crucial to recognize that sociodemographic factors, such as sex, gender, race, ethnicity, education, religion, spirituality, health, language, environment, age and socioeconomic status (among others), can independently and interdependently influence these reciprocal associations.
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Jay Van Bavel, PhD @jayvanbavel.bsky.social · 02/01/2025
We have a new paper explaining all the ways you can use natural language processing to analyze text data in @natrevpsych.bsky.social We provide user friendly recommendations for using NLP to ensure rigour and reproducibility Here is a free link: www.nature.com/articles/s44...
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Ida Momennejad @neuroai.bsky.social · 20/12/2024
Honored that a piece I wrote made it to NYTimes. It’s about how my mom’s stroke changed my connection to time, science, and nature. What a privilege to honor my mom in Modern Love. Below is a gift link. Let me know your thoughts 🙏🏼 www.nytimes.com/2024/12/20/s...
nytimes.com
Grief Makes Us Time Travelers (Gift Article)
A neuroscientist studying memory, I used to believe time was linear. Then my mother had a stroke.
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Vincent Arel-Bundock @vincentab.bsky.social · 02/12/2024
Our JSS article is out! And now I get to focus on {marginaleffects} 1.0.0. Stay tuned. www.jstatsoft.org/article/view...
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Matt Grilli @mattgrilli.bsky.social · 30/11/2024
It takes a LONG time to manually score autobiographical memory narratives for internal and external details (in Autobiographical Interview terms). Here, we report a new model that automates this process, matching manual scorers, but much faster (5s instead of 10m per memory). osf.io/preprints/ps...
osf.io
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