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Christopher Langdon

@cmlangdon.bsky.social

Postdoc @ Princeton Neuroscience Institute

Christopher Langdon @cmlangdon.bsky.social · 12/02/2025

(5/5) These results demonstrate that explicitly modeling the low-dimensional recurrent mechanisms underlying task execution is critical for identifying low-dimensional behaviorally relevant representations.

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Christopher Langdon @cmlangdon.bsky.social · 12/02/2025

(4/5) A latent circuit model of PFC responses similarly reveals low-dimensional projections of neural activity in which irrelevant stimuli are suppressed. Larger representations of irrelevant stimuli on error trials further confirms the behavioral relevance of the inferred latent circuit.

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Christopher Langdon @cmlangdon.bsky.social · 12/02/2025

(3/5) The orthonormal embedding allows validating the latent circuit mechanism via low-dimensional projections of activity and low-rank perturbations of connectivity. In contrast to previous studies, we find representations of stimuli are suppressed when they are irrelevant.

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Christopher Langdon @cmlangdon.bsky.social · 12/02/2025

(2/5) To discover these latent mechanisms from high-dimensional responses, we developed the latent circuit model which simultaneously learns a low-dimensional recurrent neural network and an orthonormal embedding to jointly explain heterogeneous neural responses.

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Christopher Langdon @cmlangdon.bsky.social · 12/02/2025

(1/5) Excited to share my work with @engeltatiana.bsky.social , out now in Nat Neuro! We show that RNNs use low-d latent circuit mechanisms for cognitive tasks. We find that context-dependent decisions in both RNNs and PFC arise from latent inhibitory mechanisms. www.nature.com/articles/s41...

nature.com

Latent circuit inference from heterogeneous neural responses during cognitive tasks - Nature Neuroscience

The latent circuit model identifies low-dimensional mechanisms of task execution from heterogenous neural responses. This approach reveals a latent inhibitory mechanism for context-dependent decisions...

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