Architecture and performance of pinholenet architectures.

<p><b>(A)</b> Schematic representation of PinholeNet architectures with varying receptive field sizes (P11, P17, P31, P33), highlighting the constrained receptive fields in the convolutional layers. For comparison, a standard AlexNet model is also shown in bottom. <b>(B)</...

وصف كامل

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Fenil R. Doshi (2879801) (author)
مؤلفون آخرون:	Talia Konkle (13864215) (author), George A. Alvarez (22075856) (author)
منشور في:	2025
الموضوعات:	Neuroscience Science Policy Mental Health Infectious Diseases Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified powerful experimental platform critical architectural motif computational existence proof unified perceptual representation distractors increases ), contour detection show perceptual organization needed human perceptual grouping like contour integration perceptual grouping detection specifically like contour like sensitivity like capacities complete contour yield human without relying theories focused taken together results raise results provide reduced interference prominent role processing play prior work mechanisms proposed lateral connections later stages imagenet pre human vision hidden human forward networks forward models feedforward mechanism
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Architecture and performance of pinholenet architectures.

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