Mathieu Landry

@matlandry.bsky.social

Cognitive Neuroscience Asst. Prof @ULaval https://sites.google.com/view/neurococon-lab/english

Check out this thread - and please RT 🙏 Shaked and Itay argue that t-test and LMMs (and their Bayesian parallels) are not adequate for testing chance performance, and suggest alternative, more powerful tests. We hope you will find this useful, especially when studying unconscious processes

@shakedlublinsky.bsky.social · 6d ago

Can we make objective awareness tests more powerful? In our new paper (doi.org/10.1093/nc/n...; Neuroscience of Consciousness), we introduce two tests (frequentist and Bayesian) that outperform commonly used tests, based on extensive simulations and reanalyses of published datasets. (1/9)

1st book review! “Lombrozo unpacks the psychology of explanations in rich detail and sharply analyzes how explaining can help and hinder…The result is a fresh, engrossing take on an important aspect of human behavior.” 😀 www.publishersweekly.com/9780063395008

Why We Ask Why: The Science of Explanation and the Human Drive to Understand by Tania Lombrozo

People explain what they experience, feel, and encounter in order to understand the present and anticipate the future, according...

publishersweekly.com

My postdoc is coming to an end, so I'm looking for work! Let me know if you, or anyone you know, wants to hire a philosopher of biology/cognition with a knack for cross-disciplinary work, a focus on autonomy + agency, and experience writing for the broader public (10+ yrs in sci/tech journalism).

𝗡𝗲𝘂𝗿𝗮𝗹 𝘁𝗿𝗮𝘃𝗲𝗹𝗶𝗻𝗴 𝘄𝗮𝘃𝗲𝘀 𝗶𝗻 𝗰𝗼𝗿𝘁𝗲𝘅: 𝗡𝗲𝘁𝘄𝗼𝗿𝗸 𝗺𝗲𝗰𝗵𝗮𝗻𝗶𝘀𝗺𝘀 𝗮𝗻𝗱 𝗽𝗼𝘁𝗲𝗻𝘁𝗶𝗮𝗹 𝗿𝗼𝗹𝗲𝘀 𝗶𝗻 𝗻𝗲𝘂𝗿𝗮𝗹 𝗰𝗼𝗺𝗽𝘂𝘁𝗮𝘁𝗶𝗼𝗻 A must read for systems neuroscience. #neuroskyence doi.org/10.1016/j.ne...

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The brain uses a fixed set of building blocks and flexibly recombines them, allowing adapting to new tasks. Learning stabilizes temporal activity but not neuronal selectivity in prefrontal cortex doi.org/10.64898/202... #neuroscience

Learning stabilizes temporal activity but not neuronal selectivity in prefrontal cortex

Intelligent behavior requires neural representations to change with new demands while preserving learned structure. The prefrontal cortex is central to this ability, but the mechanisms are unclear. Here, we tracked medial prefrontal neurons for months as mice learned an association task with successive rule switches. Learning progressively stabilized when individual neurons were active during a trial, but not what task variables they responded to. Neurons repeatedly gained, lost, or changed selectivity even after their activity profile had stabilized. We developed Sparse Tensor Component Analysis to show that, rather than reflecting random drift, dynamic single-neuron selectivity arose through rule-dependent recombination of a fixed set of task representations. Thus, learning established a stable temporal scaffold in the prefrontal cortex within which neurons participated flexibly in different representations. ### Competing Interest Statement The authors have declared no competing interest. European Research Council, https://ror.org/0472cxd90, 758032 Deutsche Forschungsgemeinschaft, https://ror.org/018mejw64, JA 1999/6-1, JA 1999/8-1 ONE Munich Strategy Forum, N/A

doi.org

Very happy to share that our INNERSPEECH project has been funded by the #ANR! We'll investigate the cognitive and neural bases of inner speech diversity and build a neurocomputational model of how it emerges during development. One PhD and one postdoc position will open soon; stay tuned!

We're hiring! Postdoc position to study the neural control of reaching using high-density multi-area electrophysiology. 5 years of funding, great collaborative environment. Please share with anyone who may be interested. For details, see: docs.google.com/document/d/1...

Pruszynski Postdoc 2026

Postdoctoral Researcher, Control Policies in the Primate Motor Circuit Pruszynski Lab @ Sensorimotor Superlab​ The Pruszynski Laboratory at Western University is seeking a postdoctoral researcher to j...

docs.google.com

We have recently published work in Psych Science and JEP:LMC showing a surprising relationship between initial capture and learned suppression of salient distractors. Ultimately, this has led us to believe that attentional control is much more flexible than often assumed. Read more on my blog!

From Capture to Suppression: How Distraction Shapes Attentional Control

By Nick Gaspelin and Yue Zhang Zhang, Y. & Gaspelin, N. (2026a). From capture to control: Initial capture increases learned suppression. Psychological Science. 37(4), 2…

gaspelinblog.wordpress.com

If an action results in error, each neuron requires an individualized teaching signal that guides change in its output. This is the credit assignment problem of learning. Are there neurons in the brain that can compute such a sophisticated teaching signal? Yes. www.biorxiv.org/content/10.6...

Climbing fibers encode the gradient of a loss function for the cerebellum

Neurons in the brain are often many synapses away from motoneurons, yet if a movement results in error, each distant neuron needs a teacher that considers its specific contribution to production of th...

biorxiv.org