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Autor:
Jalouzot, Louis, Sobczyk, Robin, Lhopitallier, Bastien, Salle, Jeanne, Lan, Nur, Chemla, Emmanuel, Lakretz, Yair
We introduce Metric-Learning Encoding Models (MLEMs) as a new approach to understand how neural systems represent the theoretical features of the objects they process. As a proof-of-concept, we apply MLEMs to neural representations extracted from BER
Externí odkaz:
http://arxiv.org/abs/2402.11608