Computational neuroimaging and population receptive fields
نویسندگان
چکیده
منابع مشابه
Computational neuroimaging and population receptive fields.
Functional magnetic resonance imaging (fMRI) noninvasively measures human brain activity at millimeter resolution. Scientists use different approaches to take advantage of the remarkable opportunities presented by fMRI. Here, we describe progress using the computational neuroimaging approach in human visual cortex, which aims to build models that predict the neural responses from the stimulus a...
متن کاملComputational identification of receptive fields.
Natural stimuli elicit robust responses of neurons throughout sensory pathways, and therefore their use provides unique opportunities for understanding sensory coding. This review describes statistical methods that can be used to characterize neural feature selectivity, focusing on the case of natural stimuli. First, we discuss how such classic methods as reverse correlation/spike-triggered ave...
متن کاملIdealized Computational Models for Auditory Receptive Fields
We present a theory by which idealized models of auditory receptive fields can be derived in a principled axiomatic manner, from a set of structural properties to (i) enable invariance of receptive field responses under natural sound transformations and (ii) ensure internal consistency between spectro-temporal receptive fields at different temporal and spectral scales. For defining a time-frequ...
متن کاملReceptive fields
Drosophila APC has a role in maintaining adherens junctions, and also helps to tether mitotic spindles to the cortex and to orient them in the epithelial plane. In mammalian cells, APC has been implicated in cell migration. APC also helps safeguard the fidelity of chromosome segregation in mitotic cells. Loss of APC’s various functions at the cell periphery may contribute to tumour progression....
متن کاملTopographical estimation of visual population receptive fields by FMRI.
Visual cortex is retinotopically organized so that neighboring populations of cells map to neighboring parts of the visual field. Functional magnetic resonance imaging allows us to estimate voxel-based population receptive fields (pRF), i.e., the part of the visual field that activates the cells within each voxel. Prior, direct, pRF estimation methods(1) suffer from certain limitations: 1) the ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Trends in Cognitive Sciences
سال: 2015
ISSN: 1364-6613
DOI: 10.1016/j.tics.2015.03.009