1 citations · 3 across the 4 of their papers we have counts for
5 papers · 1 filter
"Task-relevant autoencoding" enhances machine learning for human neuroscience
Seyedmehdi Orouji, Vincent Taschereau-Dumouchel, Aurelio Cortese +6
In human neuroscience, machine learning can help reveal lower-dimensional neural representations relevant to subjects' behavior. However, state-of-the-art models typically require…
From internal models toward metacognitive AI
Mitsuo Kawato, Aurelio Cortese
In several papers published in Biological Cybernetics in the 1980s and 1990s, Kawato and colleagues proposed computational models explaining how internal models are acquired in the…
How do we generalize?
Jessica Elizabeth Taylor, Aurelio Cortese, Helen C. Barron +3
Humans and animals are able to generalize or transfer information from previous experience so that they can behave appropriately in novel situations. What mechanisms--computations,…
The neural and cognitive architecture for learning from a small sample
Aurelio Cortese, Benedetto De Martino, Mitsuo Kawato
Artificial intelligence algorithms are capable of fantastic exploits, yet they are still grossly inefficient compared with the brain's ability to learn from few exemplars or solve…
Decoded fMRI neurofeedback can induce bidirectional behavioral changes within single participants
Aurelio Cortese, Kaoru Amano, Ai Koizumi +2
Studies using real-time functional magnetic resonance imaging (rt-fMRI) have recently incorporated the decoding approach, allowing for fMRI to be used as a tool for manipulation of…