Micah G. Allen

@micahgallen.com

Professor of Computational Neuroscience and Psychiatry, Aarhus University. PI @ the Embodied Computation Group. We study perception, interoception, & metacogniton. https://www.the-ecg.org

This is not what I usually work on, but sometimes you get bored... 😜 But what actually IS boredom? My collaborator Johannes just put out this beautiful new preprint tackling exactly that question, from behaviour all the way to neural population codes. doi.org/10.64898/202... 1/5 🧠🧪

Boredom and the representation of information content in the neocortex

Boredom – a pervasive mental state – promotes the pursuit of novel information by assigning negative value to monotonous conditions. Yet, how the brain extracts and represents the information content of ongoing sensory experience remains poorly understood. Here, we combine behavioral assays, neurophysiological recordings and computational modeling across humans and mice to investigate how sensory information shapes boredom-related behavior. In a cross-species choice task, both humans and mice robustly avoid monotonous sources of sensory stimulation. We formalize perceived monotony using empirical entropy as a measure of information content and show that monotony avoidance scales directly with low entropy and in humans correlates with boredom experience. Human electroencephalography and mesoscopic calcium imaging in mice reveal that the recruitment of neocortical activity tracks stimulus entropy. Two-photon calcium imaging in the auditory cortex of mice further uncovers a stimulus-invariant population code for entropy, supported by neurons tuned to information content. A recurrent network model reproduced this code through an interplay of afferent depression and recurrent facilitation. Together, we demonstrate how the information content of sensory experience is represented in cortical population activity, providing a basis for boredom-related avoidance behavior. Thus, our findings link synaptic and neuronal dynamics to boredom, acting as a safeguard mechanism to ensure high information input to the brain. ### Competing Interest Statement The authors have declared no competing interest. This work was supported by research grant Deutsche Forschungsgemeinschaft CRC1080-C05 (S.R.), Deutsche Forschungsgemeinschaft SPP 2041 Project #347573108 (S.R.), Deutsche Forschungsgemeinschaft/Agence nationale de la recherche Project #431393205 (S.R.), Deutsche Forschungsgemeinschaft DIP M-BM-^SNeurobiology of ForgettingM-BM-^T (S.R.), Rhine-Main University Alliance RMU (S.R.), JST Moonshot R & D #JPMJMS2292-A1-02 (O.T.), Deutsche Forschungsgemeinschaft #512007073 SFB/TRR379 TP B02 (O.T.), BMFTR German Center for Mental Health (DZPG, grant 01EE2505C & VISIONS TRESPE 01EE2507Q) (O.T), and a fellowship of the Focus Translational Neuroscience Mainz (J.S., L.W.). The funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript.

doi.org

After a long break, I’m back to long-form blogging! The first population atlas of the human vagus gives us an extraordinary wiring map. But what do the wires actually do? I connect it to new mouse psychophysics, organ-targeted ultrasound and our human findings. www.the-ecg.org/2026/07/29/v...

The vagus has a map. Interoception still needs a model.

The first population-level atlas of the human vagus nerve has arrived. But a map of the wiring does not tell you what the wires are saying -- on va...

the-ecg.org

We found: - Lower resting HRV is associated with many forms of psychopathology - The strongest effects for psychotic disorders were partly explained by study characteristics - HRV may reflect overall illness severity more than disorder-specific mechanism 2/

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

Population geometry reveals largely distinct value-coding dimensions for saccades vs. reaches across 8 cortico-basal ganglia nodes—challenging motor-invariant RL models: doi.org/10.64898/202...

Embodied reinforcement learning in the primate cortico-basal ganglia system

Learning the value of environmental stimuli from reward experience allows animals to make advantageous choices. Existing biological accounts of reinforcement learning (RL) often assume that this value is represented as a single, motor-system-invariant neural signal. Here we recorded neuronal activity across eight nodes of the macaque cortico-basal ganglia system — from limbic to neocortical regions — while monkeys learned stimulus-reward associations using either saccades or reaches as the required motor response. The geometry of population activity revealed largely distinct value-coding dimensions for saccades and reaches, including in limbic regions typically associated with motor-system-invariant value coding. Consequently, value information was substantially reduced when read out across motor systems. These results provide circuit-wide evidence that challenges existing neural implementations of RL. They link biological accounts of value learning to embodied frameworks in cognitive science and artificial intelligence, in which behavior is grounded in an agent’s physical structure rather than abstracted from it. ### Competing Interest Statement The authors have declared no competing interest. Custom code used to generate the results reported in this study is publicly available at <https://github.com/GiarroccoFranco/Cortico-BasalGanglia>. The data supporting the findings of this study will be made publicly available in a suitable repository upon publication. Prior to publication, the data are available from the corresponding authors upon request. NIH, ZIAMH002928

doi.org

What's more, a Semantic Analysis showed MAIA survey items share a lot of language with mental health constructs (depression, anxiety, mindfulness): In other words, these self-report scales may be picking up general affective beliefs — rather than picking out the body specifically

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Results dependent on the model? A network analysis is consistent: self-reported interoception is tightly woven into the mental health symptom network (red with yellow nodes), while interoceptive task performance distantly sits apart from symptoms (blue with yellow nodes).

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What explains this gap? Those 'bodily' questionnaire scores were largely unrelated to objective cardiac or respiratory task performance. What we believe about our bodily sensing may have little to do with how we actually sense it.

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Fascinating and important. Including the provocative finding “What we believe about our bodily sensing may have little to do with how we actually sense it.” A place where subject report diverges (read the thread). Congrats to this team!!

Leah Banellis@leahbanellis.bsky.social · 2w ago

Sensing your body (‘Interoception’) is everywhere in theories of mental health. But when we tested how well hundreds of people sensed their heart and lungs, the link to symptoms was almost nowhere to be found. 💣 🚨New @natmentalhealth.nature.com paper 🚨🎉 asks why 🧵 www.nature.com/articles/s44...