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Exploration of complex visual feature spaces for object perception
2014
Frontiers in Computational Neuroscience
The mid-and high-level visual properties supporting object perception in the ventral visual pathway are poorly understood. In the absence of well-specified theory, many groups have adopted a data-driven approach in which they progressively interrogate neural units to establish each unit's selectivity. Such methods are challenging in that they require search through a wide space of feature models and stimuli using a limited number of samples. To more rapidly identify higher-level features
doi:10.3389/fncom.2014.00106
pmid:25309408
pmcid:PMC4162468
fatcat:fwmiduovtbe2fjhzvj2tjsh6ku