Sensory adaptation as Kalman filtering: theory and illustration with contrast adaptation

Grzywacz, Norberto M.; Juan, J. De

doi:10.1088/0954-898x_14_3_305

Cited by 22 publications

(7 citation statements)

References 60 publications

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“…The model simulation results also align with Bayesian inference prediction frameworks of optimal adaptation processes which necessitate predictive prior information (Grzywacz and de Juan, 2003; Kording et al, 2007; Wark et al, 2007, 2009). A comparable resemblance with such model can be derived by considering the receptive fields and dynamic synaptic strengths as adaptive likelihood functions and the feedback information as an adaptive prior information.…”

Section: Discussionsupporting

confidence: 70%

The Role of Bottom-Up and Top-Down Cortical Interactions in Adaptation to Natural Scene Statistics

Habtegiorgis

Jarvers

Rifai

et al. 2019

Front. Neural Circuits

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Adaptation is a mechanism by which cortical neurons adjust their responses according to recently viewed stimuli. Visual information is processed in a circuit formed by feedforward (FF) and feedback (FB) synaptic connections of neurons in different cortical layers. Here, the functional role of FF-FB streams and their synaptic dynamics in adaptation to natural stimuli is assessed in psychophysics and neural model. We propose a cortical model which predicts psychophysically observed motion adaptation aftereffects (MAE) after exposure to geometrically distorted natural image sequences. The model comprises direction selective neurons in V1 and MT connected by recurrent FF and FB dynamic synapses. Psychophysically plausible model MAEs were obtained from synaptic changes within neurons tuned to salient direction signals of the broadband natural input. It is conceived that, motion disambiguation by FF-FB interactions is critical to encode this salient information. Moreover, only FF-FB dynamic synapses operating at distinct rates predicted psychophysical MAEs at different adaptation time-scales which could not be accounted for by single rate dynamic synapses in either of the streams. Recurrent FF-FB pathways thereby play a role during adaptation in a natural environment, specifically in inducing multilevel cortical plasticity to salient information and in mediating adaptation at different time-scales.

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Section: Discussionsupporting

confidence: 70%

The Role of Bottom-Up and Top-Down Cortical Interactions in Adaptation to Natural Scene Statistics

Habtegiorgis

Jarvers

Rifai

et al. 2019

Front. Neural Circuits

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“…The facilitation of visual adaptation with extended exposure to the image skew might be governed by an inference process similar to the recently demonstrated effect of repeated donning and removing of color filters (Engel et al, 2016;Grzywacz & de Juan, 2003;Kording, Tenenbaum, & Shadmehr, 2007;Wark et al, 2009). In inference theory, the visual system adjusts its response to infer the environment under the Bayesian decision-making framework, the parameters of which could be affected by previous stimulus history.…”

Section: Discussionmentioning

confidence: 92%

Experience-dependent long-term facilitation of skew adaptation

Habtegiorgis

Rifai

Lappe³

et al. 2018

Journal of Vision

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Adaptation to changes in the environment allows the visual system to achieve optimal perception in a continuously changing visual world. One particular example regarding recurrently encountered changes in everyday vision is geometrical distortions of the environment when wearing spectacles for vision correction, e.g., image shear by skew geometric distortions in progressive additional lenses. For optimal visual performance, it would be beneficial if the visual system uses previous history of recurrent distortions and learns to adapt fast when they are reapplied, yet this has not been systematically shown. The present study evaluates experience-dependent long-term facilitation of fast adaptation to image skew, i.e., a shear from the x- and y- axis, using ecological stimuli. Immediate and long-term facilitation of fast adaptation induced by minutes time scales of extended skew exposures was tested. Fast adaptation was quantified via the magnitude of perceptual bias after a brief exposure to image skew in a constant stimulus procedure. Immediate facilitation was tested by comparing the magnitudes of fast adaptation that are measured on the same day before, i.e., baseline, and after extended skew exposure. The retention of the facilitation was evaluated by comparing the fast adaptation measured after, on average, 57 days of the previous extended skew exposure with the baseline. After one hour of skew exposure, the amount of fast adaptation significantly increased from the baseline measurement indicating immediate facilitation of the fast adaptation. This facilitation was retained at, on average, 57 days after the extended exposure. Thus, the results depicted experience dependent long-term facilitation of skew adaptation that potentially explains visual habituation to distortions of spectacles.

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“…Effects of contrast adaptation get stronger and longer lasting as the adapting duration lengthens, an effect we term the ''duration scaling'' law (Bao & Engel, 2012;Greenlee, Georgeson, Magnussen, & Harris, 1991;Magnussen & Greenlee, 1985;Wark, Fairhall, & Rieke, 2009). This pattern might occur because, over time, either a single mechanism controlling adaptation gains strength, or additional mechanisms operating over longer timescales become active (Grzymacz & de Juan, 2003;Kording, Tenenbaum, & Shadmehr, 2007; Citation: Bao, M., Fast, E., Mesik, J., & Engel, S. (2013). Distinct mechanisms control contrast adaptation over different timescales.…”

Section: Introductionmentioning

confidence: 99%

Distinct mechanisms control contrast adaptation over different timescales

et al. 2013

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Changes to the visual environment can happen at many timescales, from very transient to semi-permanent. To adapt optimally, the visual system also adjusts at different timescales, with longer-lasting environmental changes producing longer-lasting effects, but how the visual system adapts in this way remains unknown. Here, we show that contrast adaptation-the most-studied form of visual adaptation-has multiple controllers, each operating over a different time scale. In a series of experiments, subjects completed either a contrast matching, contrast detection, or tilt adjustment task, while adapting to contrast at one orientation. Following a relatively longer period (5 min) of adaptation to high contrast, subjects were "deadapted" for a shorter period (e.g., 40 s) to a lower contrast. Deadaptation eliminated perceptual aftereffects of adaptation, but continued testing in a neutral environment revealed their striking recovery. These results suggest the following account: Adaptation was controlled by at least two mechanisms, with initial adaptation affecting a longer-term one and deadaptation affecting a shorter-term one in the opposite direction. Immediately following deadaptation, the effects of the two mechanisms cancelled each other, but the short-term effects rapidly decayed, revealing ongoing longer-term adaptation. A single controlling mechanism cannot account for the observed recovery of effects, since once deadaptation cancels the initial longer-term adaptation, no trace of it remains. Combined with previous results at very long adaptation durations, the present results suggest that contrast adaptation is possibly controlled by a continuum of mechanisms acting over a large range of timescales.

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Sensory adaptation as Kalman filtering: theory and illustration with contrast adaptation

Cited by 22 publications

References 60 publications

The Role of Bottom-Up and Top-Down Cortical Interactions in Adaptation to Natural Scene Statistics

The Role of Bottom-Up and Top-Down Cortical Interactions in Adaptation to Natural Scene Statistics

Experience-dependent long-term facilitation of skew adaptation

Distinct mechanisms control contrast adaptation over different timescales

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