Christopher Langdon

(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...

(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.

(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...

(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.