Disentangled behavioural representations

Here, we show how to benefit from the flexibility of RNNs while representing individual differences inalow-dimensional andinterpretable space. Toachievethis, wepropose anovelend-to-end learning frameworkinwhich an encoder istrained to map the behavior of subjects into alow-dimensional latent space.