Predictive coding is a unifying framework for understanding redundancy reduction and
efficient coding in the nervous system. By transmitting only the unpredicted portions of an …

The retina, like many other central nervous system structures, contains a huge diversity of
neuronal types. Mammalian retinas contain approximately 55 distinct cell types, each with a …

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

Aims and Scope This book is both an introductory textbook and a research monograph on
modeling the statistical structure of natural images. In very simple terms,“natural images” are …

The majority of synapses in the mammalian cortex originate from cortical neurons. Indeed,
the largest input to cortical cells comes from neighboring excitatory cells. However, most …

We can claim that we know what the visual system does once we can predict neural
responses to arbitrary stimuli, including those seen in nature. In the early visual system …

A recent computational theory suggests that visual processing in the retina and the lateral
geniculate nucleus (LGN) serves to recode information into an efficient form. Information …

Neurons in the central visual pathways process visual images within a localized region of
space, and a restricted epoch of time. Although the receptive field (RF) of a visually …

To understand the neural representation of broadband, dynamic sounds in primary auditory
cortex (AI), we characterize responses using the spectro-temporal response field (STRF) …

MORE than 30 years after Hubel and Wiesel1 first described orientation selectivity in the
mammalian visual cortex, the mechanism that gives rise to this property is still controversial …