International Journal of School and Cognitive Psychology
Open Access

Department of Computer Engineering and Application, GLA University, Mathura, Uttar Pradesh, India

Publications

• Research   
  Bayesian Brain: Computation with Perception to Recognize 3D Objects
  Author(s): Kumar Sankar Ray*
  
  We mimic the cognitive ability of Human perception, based on Bayesian hypothesis, to recognize view-based 3D objects. We consider approximate Bayesian (Empirical Bayesian) for perceptual inference for recognition. We essentially handle computation with perception. Recent development in neuroscience indicates human perception can be represented by Bayesian inference. Bayesian models can perform variety of perceptual task; thus we should have an instrumentalist view towards Bayesian models in the context of neuroscience. Bayesian models are very effective to secure both subjects’ perceptual activity and capture features of the human neural mechanism. Bayesian model can be used to study brain’s various perceptual tasks. In this design study to represent the perceptual task in Bayesian approach we consider beta distribution for computation of prior, like-l.. View More»
  DOI: 10.35248/2469-9837.23.10.277

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