Adaptation to Stimulus Contrast and Correlations during Natural Visual Stimulation

Lesica, Nicholas A.; Jin, Jianzhong; Weng, Chong; Yeh, Chun-I; Butts, Daniel A.; Stanley, Garrett B.; Alonso, José‐Manuel

doi:10.1016/j.neuron.2007.07.013

Cited by 101 publications

(127 citation statements)

References 34 publications

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“…Our data do not completely exclude the contribution of a subcortical adaptation process which would make the LGN inputs to the cortex more nonlinear in sparse visual conditions than in dense visual contexts 32,33 . However, this interpretation is insufficient to account for the fact that the Gabor noise stimuli induced V1 RF changes which are consistent with the sparse nature of the stimulation in the orientation domain, whereas they likely corresponded to dense visual inputs for retinal or thalamic cells in view of the range of spatial frequencies used 34 .…”

Section: Discussioncontrasting

confidence: 83%

Adaptation of the simple or complex nature of V1 receptive fields to visual statistics

et al. 2011

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Section: Discussioncontrasting

confidence: 83%

Adaptation of the simple or complex nature of V1 receptive fields to visual statistics

et al. 2011

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“…The movie sequences, recorded by the laboratory of Peter König, were scenes taken by a removable lightweight CCD-camera mounted on the head of a freely roaming cat in natural environments (Kayser et al, 2003). Such movies were described in detail in previous studies (Kayser et al, 2003;Lesica et al, 2007) and were used to examine the adaptation of LGN RF to stimulus statistics . In our study, we used 50,000 to 55,000 frames of such movie sequence (32 ϫ 32 pixels, RMS contrast of 0.4) to map the STRF.…”

Section: Methodsmentioning

confidence: 99%

The Spatiotemporal Frequency Tuning of LGN Receptive Field Facilitates Neural Discrimination of Natural Stimuli

Tan

Yao²

2009

J. Neurosci.

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The efficient coding hypothesis suggests that the early visual system is optimized to represent stimuli in the natural environment. While it is believed that LGN processing removes the redundant information of natural scenes, it is not clear whether the early visual processing can selectively amplify important signals in natural stimuli to facilitate discrimination. In this study, we examined the functional role of LGN spatiotemporal frequency tuning in the processing of natural scenes. First, we characterized the relationship between spatial and temporal frequency tuning for LGN receptive fields. We found that LGN neurons exhibit inseparable spatiotemporal frequency tuning in a manner consistent with the feature of optimal filters that can maximize information transmission of natural scenes. Second, we analyzed the spatiotemporal power spectrum of natural scenes and found that some frequencies exhibit larger variation in power across different scenes. Interestingly, the preferred frequency of ensemble LGN neurons matches the range of frequencies in which natural power spectrum varies most. Comparison of neural discrimination for natural stimuli and for artificial stimuli with similar mean power spectra but different variation structure showed that the match between LGN tuning and natural spectra variation enhances neural discrimination for natural stimuli. Our results indicate that, in addition to removing redundancy, the spatiotemporal frequency characteristics of LGN neurons can facilitate neural discrimination of natural stimuli.

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“…It has been widely suggested that adaptation underlies the strategy for a neural system to utilize its resource efficiently to encode stimulus information (Fairhall et al 2001;Gutnisky and Dragoi 2008;Lesica et al 2007;Maravall et al 2007). For instance, it was found that the tuning functions of sensory neurons are optimized to match the variance of inputs in a natural environment, so that high encoding accuracy for the whole range of stimuli is achieved (Laughlin 1981).…”

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confidence: 99%

Shifted encoding strategy in retinal luminance adaptation: from firing rate to neural correlation

Xiao

Zhang

Xing

et al. 2013

Journal of Neurophysiology

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Neuronal responses to prolonged stimulation attenuate over time. Here, we ask a fundamental question: is adaptation a simple process for the neural system during which sustained input is ignored, or is it actually part of a strategy for the neural system to adjust its encoding properties dynamically? After simultaneously recording the activities of a group of bullfrog's retinal ganglion cells (dimming detectors) in response to sustained dimming stimulation, we applied a combination of information analysis approaches to explore the time-dependent nature of information encoding during the adaptation. We found that at the early stage of the adaptation, the stimulus information was mainly encoded in firing rates, whereas at the late stage of the adaptation, it was more encoded in neural correlations. Such a transition in encoding properties is not a simple consequence of the attenuation of neuronal firing rates, but rather involves an active change in the neural correlation strengths, suggesting that it is a strategy adopted by the neural system for functional purposes. Our results reveal that in encoding a prolonged stimulation, the neural system may utilize concerted, but less active, firings of neurons to encode information.retinal ganglion cell; luminance adaptation; information coding; neural correlation; discrimination ADAPTATION REFERS TO A GENERAL phenomenon in which a neural system adjusts its response property according to the statistics of external inputs (Kohn 2007;Wark et al. 2007). It has been widely suggested that adaptation underlies the strategy for a neural system to utilize its resource efficiently to encode stimulus information (Fairhall et al. 2001;Gutnisky and Dragoi 2008;Lesica et al. 2007;Maravall et al. 2007). For instance, it was found that the tuning functions of sensory neurons are optimized to match the variance of inputs in a natural environment, so that high encoding accuracy for the whole range of stimuli is achieved (Laughlin 1981). In practice, adaptation can also occur very rapidly in response to sudden changes in the input statistics, so that the stimulus information is transmitted with high fidelity (Fairhall et al. 2001;Sharpee et al. 2006). A recent experimental work reported that in addition to enhancing information representation, adaptation can regulate information content transmitted in the sensory pathway (Wang et al. 2010). Thus, to fully understand how the brain processes stimulus information in a natural dynamical environment, it is critical to unveil the computational roles associated with adaptation.Luminance adaptation, in which a neural system is exposed to a sustained stimulation with constant luminance, is a fundamental visual adaptation process whose biophysical mechanisms and potential computational roles have been intensively studied (Wark et al. 2007). However, the detailed time course as to how the stimulus information is encoded dynamically in the varying neural responses during adaptation remains largely unresolved (Kastner and Baccus 2011). In luminance ad...

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Adaptation to Stimulus Contrast and Correlations during Natural Visual Stimulation

Cited by 101 publications

References 34 publications

Adaptation of the simple or complex nature of V1 receptive fields to visual statistics

Adaptation of the simple or complex nature of V1 receptive fields to visual statistics

The Spatiotemporal Frequency Tuning of LGN Receptive Field Facilitates Neural Discrimination of Natural Stimuli

Shifted encoding strategy in retinal luminance adaptation: from firing rate to neural correlation

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