2 citations · 2 across the 4 of their papers we have counts for
4 papers
Reasoning aligns language models to human cognition
Gonçalo Guiomar, Elia Torre, Pehuen Moure +4
Do language models make decisions under uncertainty like humans do, and what role does chain-of-thought (CoT) reasoning play in the underlying decision process? We introduce an act…
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…
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…
Are task representations gated in macaque prefrontal cortex?
Timo Flesch, Valerio Mante, William Newsome +3
A recent paper (Flesch et al, 2022) describes behavioural and neural data suggesting that task representations are gated in the prefrontal cortex in both humans and macaques. This…