关键词: CRF EC ECI ECRF Early visual system Extra-classical receptive field K LGN M MID Maximally Informative Dimensions P Parvocellular RF RGC Reverse correlation STA STC Thalamus V1 classical receptive field extra-classical extra-classical inhibition extra-classical receptive field koniocellular lateral geniculate nucleus magnocellular primary visual cortex receptive field retinal ganglion cell spike-triggered average spike-triggered covariance

Mesh : Animals Brain Mapping / methods Geniculate Bodies / physiology Humans Macaca Photic Stimulation / methods Visual Cortex / physiology Visual Fields / physiology Visual Pathways / physiology Visual Perception / physiology

来  源:   DOI:10.1016/j.jphysparis.2013.10.001   PDF(Sci-hub)

Abstract:
Mapping neuronal responses in the lateral geniculate nucleus (LGN) is key to understanding how visual information is processed in the brain. This paper focuses on our current knowledge of the dynamics the receptive field (RF) as broken down into the classical receptive field (CRF) and the extra-classical receptive field (ECRF) in primate LGN. CRFs in the LGN are known to be similar to those in the retinal ganglion cell layer in terms of both spatial and temporal characteristics, leading to the standard interpretation of the LGN as a relay center from retina to primary visual cortex. ECRFs have generally been found to be large and inhibitory, with some differences in magnitude between the magno-, parvo-, and koniocellular pathways. The specific contributions of the retina, thalamus, and visual cortex to LGN ECRF properties are presently unknown. Some reports suggest a retinal origin for extra-classical suppression based on latency arguments and other reports have suggested a thalamic origin for extra-classical suppression. This issue is complicated by the use of anesthetized animals, where cortical activity is likely to be altered. Thus further study of LGN ECRFs is warranted to reconcile these discrepancies. Producing descriptions of RF properties of LGN neurons could be enhanced by employing preferred naturalistic stimuli. Although there has been significant work in cats with natural scene stimuli and noise that statistically imitates natural scenes, we highlight a need for similar data from primates. Obtaining these data may be aided by recent advancements in experimental and analytical techniques that permit the efficient study of nonlinear RF characteristics in addition to traditional linear factors. In light of the reviewed topics, we conclude by suggesting experiments to more clearly elucidate the spatial and temporal structure of ECRFs of primate LGN neurons.
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