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Accueil>Deep Networks Can Resemble Human Feed-forward Vision in Invariant Object Recognition

Catégorie de publications : _MAOS

Deep Networks Can Resemble Human Feed-forward Vision in Invariant Object Recognition

Bio-inspired unsupervised learning of visual features leads to robust invariant object recognition

Finding faces, animals, and vehicles in far peripheral vision

Hippocampus duality: memory and novelty detection are subserved by distinct mechanisms.

The role of sub-hippocampal versus hippocampal regions in bitemporal lobe epilepsies

The ability of the auditory system to cope with temporal subsampling depends on the hierarchical level of processing.

At 120 msec You Can Spot the Animal but You Don’t Yet Know It’s a Dog.

Preserved anterograde and remote memory in drug-responsive temporal lobe epileptic patient.

Exploring memory lane.

Long-term adjunctive lacosamide treatment in patients with partial-onset seizures.

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