BJKS Podcast

By: Benjamin James Kuper-Smith
  • Summary

  • A podcast about neuroscience, psychology, and anything vaguely related. Long-form interviews with people whose work I find interesting.

    © 2025 BJKS Podcast
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Episodes
  • 113. Damian Blasi: Over-reliance on English hinders cognitive science, linguistic diversity, how to study a language you don't speak
    Mar 10 2025

    Damian Blasi is a professor at the Pompeu Fabra University in Barcelona. We talk about his article 'Over-reliance on English hinders cognitive science', linguistic diversity, how to study across the world's languages, his career path, and much more.

    BJKS Podcast is a podcast about neuroscience, psychology, and anything vaguely related, hosted by Benjamin James Kuper-Smith.

    Support the show: https://geni.us/bjks-patreon

    Timestamps

    0:00:00: Why Damian studied physics

    0:06:31: How to deal with small, sparse, incomplete, imbalanced, noisy, and non-independent observational data

    0:09:38: Evolutionary advantages of different languages

    0:14:01: How Damian started doing research on linguistics

    0:20:09: How to study a language you don't speak

    0:28:58: Start discussing Damian's paper 'Over-reliance on English hinders cognitive science'

    0:48:25: What can experimental scientists do about the vast differences between cultures, especially of difficult to reach peoples? And how different are languages and cultures really?

    1:10:15: Why is New Guinea so (linguistically) diverse?

    1:17:34: Should I learn a common or a rare language? And where?

    1:29:09: A book or paper more people should read

    1:32:31: Something Damian wishes he'd learnt sooner

    1:33:56: Advice for PhD students/postdocs

    Podcast links

    • Website: https://geni.us/bjks-pod
    • BlueSky: https://geni.us/pod-bsky


    Damian's links

    • Website: https://geni.us/blasi-web
    • Google Scholar: https://geni.us/blasi-scholar
    • BlueSky: https://geni.us/blasi-bsky


    Ben's links

    • Website: https://geni.us/bjks-web
    • Google Scholar: https://geni.us/bjks-scholar
    • BlueSky: https://geni.us/bjks-bsky


    References

    World Atlas of Languages: https://en.wal.unesco.org/world-atlas-languages

    The Andamanese group that's hostile to strangers: https://en.wikipedia.org/wiki/Sentinelese

    "the war situation has developed not necessarily to Japan's advantage" https://en.wikipedia.org/wiki/Hirohito_surrender_broadcast

    Bakker (2022). The sounds of life.

    Blasi ... Neubig (2021). Systematic inequalities in language technology performance across the world's languages. arXiv.

    Blasi ... Bickel (2019). Human sound systems are shaped by post-Neolithic changes in bite configuration. Science.

    Blasi ... Majid (2022). Over-reliance on English hinders cognitive science. Trends in cognitive sciences.

    Everett (2023). A myriad of tongues.

    Floyd ... Enfield (2018). Universals and cultural diversity in the expression of gratitude. Royal Society Open Science.

    Gordon (2004). Numerical cognition without words: Evidence from Amazonia. Science.

    Hossenfelder (2018). Lost in math.

    Koyama & Rubin (2022). How the world became rich.

    Nettle (1998). Explaining global patterns of language diversity. Journal of anthropological archaeology.

    Pica ... Dehaene (2004). Exact and approximate arithmetic in an Amazonian indigene group. Science.

    Skirgård ... Gray (2023). Grambank reveals the importance of genealogical constraints on linguistic diversity and highlights the impact of language loss. Science Advances.

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    1 hr and 41 mins
  • 112. Gordon Pennycook: From Carrot River to Cornell, misinformation, and reducing conspiracy beliefs
    Feb 17 2025

    Gordon Pennycook is an Associate Professor at Cornell University. We talk about his upbringing in rural Northern Canada, how he got into academia, and his work on misinformation: why people share it and what can be done about it.

    BJKS Podcast is a podcast about neuroscience, psychology, and anything vaguely related, hosted by Benjamin James Kuper-Smith.

    Support the show: https://geni.us/bjks-patreon

    Timestamps

    0:00:00: Straight outta Carrot River: From Northern Canada to publishing in Nature

    0:37:01: Exploration vs focusing on one topic: finding your research topic

    0:48:57: A sense of having made it

    0:54:17: Why apply reasoning research to religion?

    0:59:45: Starting working on misinformation

    1:08:20: Defining misinformation, disinformation, and fake news

    1:15:52: Social media, the consumption of news, and Bayesian updating

    1:24:48: Reasons for why people share misinformation

    1:35:57: Are social media companies listening to Pennycook et al?

    1:38:19: Using AI to change conspiracy beliefs

    1:44:59: A book or paper more people should read

    1:46:33: Something Gordon wishes he'd learnt sooner

    1:48:12: Advice for PhD students/postdocs

    Podcast links

    • Website: https://geni.us/bjks-pod
    • BlueSky: https://geni.us/pod-bsky


    Gordon's links

    • Website: https://geni.us/pennycook_web
    • Google Scholar: https://geni.us/pennycook-scholar
    • BlueSky: https://geni.us/pennycook-bsky


    Ben's links

    • Website: https://geni.us/bjks-web
    • Google Scholar: https://geni.us/bjks-scholar


    References

    Costello, Pennycook & Rand (2024). Durably reducing conspiracy beliefs through dialogues with AI. Science.

    Dawkins (2006). The God Delusion.

    MacLeod, ... & Ozubko (2010). The production effect: delineation of a phenomenon. Journal of Experimental Psychology: Learning, Memory, and Cognition.

    Nowak & Highfield (2012). Supercooperators: Altruism, evolution, and why we need each other to succeed.

    Pennycook, ... & Fugelsang (2012). Analytic cognitive style predicts religious and paranormal belief. Cognition.

    Pennycook, Fugelsang & Koehler (2015). What makes us think? A three-stage dual-process model of analytic engagement. Cognitive Psychology.

    Pennycook, Cheyne, Barr, Koehler & Fugelsang (2015). On the reception and detection of pseudo-profound bullshit. Judgment and Decision making.

    Pennycook & Rand (2019). Lazy, not biased: Susceptibility to partisan fake news is better explained by lack of reasoning than by motivated reasoning. Cognition.

    Pennycook & Rand (2021). The psychology of fake news. Trends in cognitive sciences.

    Rand (2016). Cooperation, fast and slow: Meta-analytic evidence for a theory of social heuristics and self-interested deliberation. Psychological Science.

    Stanovich (2005). The robot's rebellion: Finding meaning in the age of Darwin.

    Tappin, Pennycook & Rand (2020). Thinking clearly about causal inferences of politically motivated reasoning: Why paradigmatic study designs often undermine causal inference. Current Opinion in Behavioral Sciences.

    Thompson, Turner & Pennycook (2011). Intuition, reason, and metacognition. Cognitive Psychology.


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    1 hr and 50 mins
  • 111. Renzo Huber: Layer-fMRI, high-resolution fMRI, and the delicate balance between gourmet chef and janitor
    Jan 17 2025

    Renzo Huber is a staff scientist at NIH. We talk about his work on layer-fMRI: what it is, how Renzo got into it, how to do it, when it makes sense to do it, what the future holds, and much more.

    Support the show: https://geni.us/bjks-patreon

    Timestamps
    0:00:00: How Renzo got into high-resolution fMRI
    0:11:28: The difference between 3T and 7T fMRI
    0:22:46: Is a bigger fMRI scanner always better?
    0:33:35: Layer-fMRI
    0:56:28: For what types of research is layer-fMRI most useful?
    1:02:35: How to do layer-fMRI and make it reproducible
    1:19:21: The future of layer-fMRI
    1:27:02: A book or paper more people should read
    1:30:37: Something Renzo wishes he'd learnt sooner
    1:33:11: Advice for PhD students/postdocs

    Podcast links

    • Website: https://geni.us/bjks-pod
    • Twitter: https://geni.us/bjks-pod-twt


    Renzo's links

    • Website: https://geni.us/huber-web
    • Google Scholar: https://geni.us/huber-scholar
    • Twitter: https://geni.us/huber-twt


    Ben's links

    • Website: https://geni.us/bjks-web
    • Google Scholar: https://geni.us/bjks-scholar
    • Twitter: https://geni.us/bjks-twt


    References and links mentioned
    Episode with Peter Bandettini: https://geni.us/bjks-bandettini
    Episode with Emily Finn: https://geni.us/bjks-finn
    Renzo's blog about layer fMRI: https://layerfmri.com/
    YouTube channel on layer fMRI: https://www.youtube.com/@layerfmri/

    Bastos, ... & Friston (2012). Canonical microcircuits for predictive coding. Neuron.
    Bollmann & Barth (2021). New acquisition techniques and their prospects for the achievable resolution of fMRI. Progress in Neurobiology.
    Boulant, ... & Le Bihan (2024). In vivo imaging of the human brain with the Iseult 11.7-T MRI scanner. Nature Methods.
    Finn, ... & Bandettini (2019). Layer-dependent activity in human prefrontal cortex during working memory. Nature Neuroscience.
    Feynman (1985). "Surely you're joking, Mr. Feynman!": adventures of a curious character.
    Haarsma, Kok & Browning (2022). The promise of layer-specific neuroimaging for testing predictive coding theories of psychosis. Schizophrenia Research.
    Huber, ... & Bandettini (2017). High-resolution CBV-fMRI allows mapping of laminar activity and connectivity of cortical input and output in human M1. Neuron.
    Huber, ... & Möller (2019). Non-BOLD contrast for laminar fMRI in humans: CBF, CBV, and CMRO2. Neuroimage.
    Huber, ... & Bandettini (2020). Sub-millimeter fMRI reveals multiple topographical digit representations that form action maps in human motor cortex. Neuroimage.
    Huber, ... & Kronbichler (2023). Evaluating the capabilities and challenges of layer-fMRI VASO at 3T. Aperture Neuro.
    Huber, ... & Horovitz (2023). Laminar VASO fMRI in focal hand dystonia patients. Dystonia.
    Persichetti, ... & Martin (2020). Layer-specific contributions to imagined and executed hand movements in human primary motor cortex. Current Biology.
    Polimeni, ... & Wald (2010). Laminar analysis of 7 T BOLD using an imposed spatial activation pattern in human V1. Neuroimage.

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    1 hr and 37 mins
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