Cortical representations of brief, static stimuli become more invariant to identity-preserving
transformations along the ventral stream. Likewise, increased invariance along the visual …

Efficient processing of sensory data requires adapting the neuronal encoding strategy to the
statistics of natural stimuli. Previously, in Hermundstad et al., 2014, we showed that local …

Recently, cutting-edge brain-machine interfaces (BMIs) have revealed the potential of
decoders such as recurrent neural networks (RNNs) in predicting attempted handwriting [1] or …

Along the ventral stream, cortical representations of brief, static stimuli become gradually
more invariant to identity-preserving transformations. In the presence of long, ethologically …

Efficient processing of sensory data requires adapting the neuronal encoding strategy to the
statistics of natural stimuli. Previously, Multiple studies showed that local multipoint …

Efficient processing of sensory data requires adapting the neuronal encoding strategy to the
statistics of natural stimuli. One area where this concept has been applied is the perceptual …

… Assicurazioni –INA ), who proposed a variety of diverse residential solutions, with
different apartments' layouts, generating a heterogeneous and fragmented social fabric (Caramellino …

… of Urban and Building Affairs of the Municipal Archives of Moncalieri and Turin were
interweaved with familiar sources, oral sources and records from the private archive of Riccardo …

… To my colleagues Riccardo Caramellino and Walter Vanzella who wrote beautiful code
alongside me; to Alessandro Di Filippo, Nader Nikbakht, Alessio Ansuini, Natalia Grion, Eis …

Unsupervised adaptation to the spatiotemporal statistics of visual experience is a key
computational principle that has long been assumed to govern postnatal development of visual …