Distributions of optimal parameter values across sparseness levels.

<p>Parameter distributions more strongly differ across sparseness levels than familiarity detection measures ( and spike count). Each distribution, represented by a colored curve, includes 20 parameter values received during 20 independent optimization procedures. Color stands for sparseness:...

Full description

Saved in:

Bibliographic Details
Main Author:	Viktoria Zemliak (19500335) (author)
Other Authors:	Gordon Pipa (153913) (author), Pascal Nieters (14611325) (author)
Published:	2025
Subjects:	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
Tags:	Add Tag No Tags, Be the first to tag this record!

Distributions of optimal parameter values across sparseness levels.

Similar Items