A flow-based latent state generative model of neural population responses to natural images.
Mohammad BashiriEdgar Y. WalkerKonstantin-Klemens LurzAkshay JagadishTaliah MuhammadZhiwei DingZhuokun DingAndreas S. ToliasFabian H. SinzPublished in: NeurIPS (2021)
Keyphrases
- natural images
- generative model
- sparse coding
- visual patterns
- probabilistic model
- natural scenes
- multiscale
- mixture model
- input image
- higher order
- image patches
- bayesian framework
- object recognition
- denoising
- receptive fields
- natural image statistics
- conditional random fields
- statistics of natural images
- superpixels
- prior knowledge
- image statistics
- em algorithm
- posterior probability
- expectation maximization
- latent dirichlet allocation
- semi supervised
- generative process
- image processing
- latent variables
- visual cortex
- primary visual cortex
- test images
- low level
- bayesian networks