Model structure of sparse/predictive coding (SPC).

<p>The first layer computes the prediction error between the input and reconstruction of the model, and then sends error signals to the second layer. The second layer takes input from the first layer and incorporates the response-regulating mechanism, . This two-layer network implements the dy...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Yanbo Lian (10219563) (author)
مؤلفون آخرون:	Anthony N. Burkitt (6732233) (author)
منشور في:	2025
الموضوعات:	Physiology Science Policy Biological Sciences not elsewhere classified Information Systems not elsewhere classified substantial experimental evidence replicates different forms primary visual cortex learn simple cells still poorly understood implementing predictive coding regulates neural responses implements sparse coding learning framework based predictive coding neural responses sparse coding sparse responses predictive structure neural circuits well investigated unified framework study demonstrates relating sparse network structure many parts learning framework integrate input hebbian learning framework incorporates explicitly within divisive normalization described within contrast saturation biophysical properties
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Model structure of sparse/predictive coding (SPC).

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