LESH performance on correlated data.

<p>To model input correlations, we generated input patterns with controlled levels of similarity to a predefined template (see Methods Correlated inputs). Colored numbers reveal generalizability: accuracy averaged across all test repeat intervals (a larger number in <b>bold</b>). T...

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Bibliografske podrobnosti
Glavni avtor:	Viktoria Zemliak (19500335) (author)
Drugi avtorji:	Gordon Pipa (153913) (author), Pascal Nieters (14611325) (author)
Izdano:	2025
Teme:	Neuroscience Biological Sciences not elsewhere classified Information Systems not elsewhere classified sparse coding observed previously encountered inputs network activity using lateral connectivity shaped connectivity structure supports approach outperforms lstm sparse input conditions recurrent connectivity without continual familiarity decoding recurrent connections input stimuli decoding strategy unsupervised spike spike trains spike synchrony spike count naturally encoded dependent plasticity
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LESH performance on correlated data.

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