The spiking response of a primary visual cortical cell to a stimulus placed within its receptive
field can be up-and down-regulated by the simultaneous presentation of objects or scenes …

Abstract In 1998, Sherman and Guillery proposed that there are two types of inputs to
cortical neurons; drivers and modulators. These two forms of input are required to explain …

In this chapter, we discuss a statistical generative model called independent component
analysis. It is basically a proper probabilistic formulation of the ideas underpinning sparse …

Theoretical neuroscience provides a quantitative basis for describing what nervous systems
do, determining how they function, and uncovering the general principles by which they …

Adaptation is a widespread phenomenon in nervous systems, providing flexibility to function
under varying external conditions. Here, we relate an adaptive property of a sensory system …

We propose a biologically motivated method, called nonclassical receptive field (non-CRF)
inhibition (more generally, surround inhibition or suppression), to improve contour detection …

Instead of using empirical functions, it is also possible to deduce the functional form of the
voltage dependence of the rate constants from thermodynamics and in particular from the …

Recent deep learning and unsupervised feature learning systems that learn from unlabeled
data have achieved high performance in benchmarks by using extremely large architectures …

In the theoretical framework of this paper, attention is part of the inference process that
solves the visual recognition problem of what is where. The theory proposes a …

Supplying a comprehensive overview of healthcare analytics research, Healthcare Data
Analytics provides an understanding of the analytical techniques currently available to solve …