Comparison of the emergent properties of V1 models.

Comparison of the emergent properties of V1 models.

<p>Row headings are sparse coding models or models based on sparse coding and column headings are emergent features. Asterisks on the cited papers indicate those that also include an <i>n</i><sub><i>x</i></sub> vs <i>n</i><sub><i>y<...

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Detalhes bibliográficos
Autor principal:	Marko A. Ruslim (22662875) (author)
Outros Autores:	Martin J. Spencer (22662878) (author), Hinze Hogendoorn (6421304) (author), Hamish Meffin (739833) (author), Yanbo Lian (10219563) (author), Anthony N. Burkitt (6732233) (author)
Publicado em:	2025
Assuntos:	Biophysics Neuroscience Physiology Sociology Space Science Biological Sciences not elsewhere classified primary visual cortex present study attempts optimum energy efficiency natural image stimuli model built upon homeostatic rule adjusted fulfilling requirements related fast time scales excitatory leaky integrate computational studies deal temporally sparse spike like receptive fields lateral geniculate nucleus implementing expected principles div >< p spiking neural model experimentally observed properties increased excitatory input observed emergent properties receptive fields studies leave spiking input increased inhibition emergent features neural responses neural networks properties arise expected properties synaptic plasticity sparse coding recurrent connections randomized jitter predictive coding neuron based many experimental layer form information representation information processing efficient coding decorrelated firing brain unanswered
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