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cs.LG2025
Mechanistic Interpretability of RNNs emulating Hidden Markov Models
Elia Torre, Michele Viscione, Lucas Pompe +2
Recurrent neural networks (RNNs) provide a powerful approach in neuroscience to infer latent dynamics in neural populations and to generate hypotheses about the neural computations…
math.DS2025
Data-Driven Reduced Modeling of Recurrent Neural Networks
Alice Marraffa, Renate Krause, Valerio Mante +1
Artificial Recurrent Neural Networks (RNNs) are widely used in neuroscience to model the collective activity of neurons during behavioral tasks. The high dimensionality of their pa…