Model and experiments.

<p>A. Structure of the dataset: binary vectors are organized along a temporal scale. Some of the vectors repeat after time steps, others are randomly generated. Repeated vectors are considered familiar and are labeled as 1, non-repeated vectors are non-familiar and labeled as 0. <b>B<...

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Bibliographische Detailangaben
1. Verfasser:	Viktoria Zemliak (19500335) (author)
Weitere Verfasser:	Gordon Pipa (153913) (author), Pascal Nieters (14611325) (author)
Veröffentlicht:	2025
Schlagworte:	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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Model and experiments.

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