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The predictive properties of a retina are studied by measuring the mutual information (MI) between its stimulation and the corresponding firing rates while it is being probed by a train of short pulses with stochastic intervals. Features of…

神经元与认知 · 定量生物学 2016-11-11 Kevin Sean Chen , Chun-Chung Chen , C. K. Chan

We introduce a probabilistic model of early visual processing, beginning with the interaction between a light wavefront and the retina. We argue that perception originates not with deterministic transduction, but with probabilistic…

神经元与认知 · 定量生物学 2025-07-31 Jayanth R Taranath , Salim M'Jahad

The mechanism of negative group delay (NGD) is used to understand the anticipatory capability of a retina. Experiments with retinas from bull frogs are performed to compare with the predictions of the NGD model. In particulars, whole field…

生物物理 · 物理学 2021-02-10 Po-Yu Chou , Jo-Fan Chien , Kevin Sean Chen , Yu-Ting Huang , Chun-Chung Chen , C. K. Chan

Over the brief time intervals available for processing retinal output, roughly 50 to 300 msec, the number of extra spikes generated by individual ganglion cells can be quite variable. Here, computer-generated spike trains were used to…

神经元与认知 · 定量生物学 2007-09-14 Garrett T. Kenyon

Natural images follow statistics inherited by the structure of our physical (visual) environment. In particular, a prominent facet of this structure is that images can be described by a relatively sparse number of features. To investigate…

神经元与认知 · 定量生物学 2022-01-07 Cesar Ravello , Maria-Jose Escobar , Adrian Palacios , Laurent Perrinet

Adaptation in the retina is thought to optimize the encoding of natural light signals into sequences of spikes sent to the brain. However, adaptation also entails computational costs: adaptive code is intrinsically ambiguous, because output…

神经元与认知 · 定量生物学 2014-01-28 Gašper Tkačik , Anandamohan Ghosh , Elad Schneidman , Ronen Segev

A number of scientists suggested that human visual perception may emerge from image statistics, shaping efficient neural representations in early vision. In this work, a bio-inspired architecture that can accommodate several known facts in…

计算机视觉与模式识别 · 计算机科学 2025-08-15 Pablo Hernández-Cámara , Jesus Malo , Valero Laparra

Color is an important source of information for visual functions such as object recognition, but it is greatly affected by the color of illumination. The ability to perceive the color of a visual target independent of illumination color is…

计算机视觉与模式识别 · 计算机科学 2026-01-21 Io Yamada , Hirotsugu Okuno

Guiding behavior requires the brain to make predictions about future sensory inputs. Here we show that efficient predictive computation starts at the earliest stages of the visual system. We estimate how much information groups of retinal…

神经元与认知 · 定量生物学 2013-07-02 Stephanie E. Palmer , Olivier Marre , Michael J. Berry , William Bialek

Almost all neural computations involve making predictions. Whether an organism is trying to catch prey, avoid predators, or simply move through a complex environment, the data it collects through its senses can guide its actions only to the…

神经元与认知 · 定量生物学 2015-07-02 Jared Salisbury , Stephanie E. Palmer

To compensate for sensory processing delays, the visual system must make predictions to ensure timely and appropriate behaviors. Recent work has found predictive information about the stimulus in neural populations early in vision…

神经元与认知 · 定量生物学 2018-10-05 Audrey J. Sederberg , Jason N. MacLean , Stephanie E. Palmer

Color Appearance Models are biological networks that consist of a cascade of linear+nonlinear layers that modify the linear measurements at the retinal photo-receptors leading to an internal (nonlinear) representation of color that…

神经元与认知 · 定量生物学 2022-10-13 Jesus Malo

Thalamic relay cells fire action potentials that transmit information from retina to cortex. The amount of information that spike trains encode is usually estimated from the precision of spike timing with respect to the stimulus. Sensory…

While traditional feed-forward filter models can reproduce the rate responses of retinal ganglion neurons to simple stimuli, they cannot explain why synchrony between spikes is much higher than expected by Poisson firing [6], and can be…

神经元与认知 · 定量生物学 2020-05-07 Christopher Warner , Friedrich T. Sommer

The manner in which groups of neurons represent events in the external world is fundamental to neuroscience. Here, we analyze the population code of the retina during naturalistic stimulation and show that the information conveyed by…

神经元与认知 · 定量生物学 2007-05-23 Elad Schneidman , Jason L. Puchalla , Ronen Segev , Robert A. Harris , William Bialek , Michael J. Berry

Retinal circuitry transforms spatiotemporal patterns of light into spiking activity of ganglion cells, which provide the sole visual input to the brain. Recent advances have led to a detailed characterization of retinal activity and…

神经元与认知 · 定量生物学 2016-05-12 Vicente Botella-Soler , Stéphane Deny , Olivier Marre , Gašper Tkačik

Biological and living systems process information across spatiotemporal scales, exhibiting the hallmark ability to constantly modulate their behavior to ever-changing and complex environments. In the presence of repeated stimuli, a…

Illusions are fascinating and immediately catch people's attention and interest, but they are also valuable in terms of giving us insights into human cognition and perception. A good theory of human perception should be able to explain the…

计算机视觉与模式识别 · 计算机科学 2019-02-11 Nasim Nematzadeh , David M. W. Powers , Trent Lewis

Recently, we have proposed a redox molecular hypothesis about the natural biophysical substrate of visual perception and imagery (B\'okkon, 2009. BioSystems; B\'okkon and D'Angiulli, 2009. Bioscience Hypotheses). Namely, the retina…

神经元与认知 · 定量生物学 2010-12-17 I. Bokkon , V. Salari , J. Tuszynski , I. Antal

The visual system is hierarchically organized to process visual information in successive stages. Neural representations vary drastically across the first stages of visual processing: at the output of the retina, ganglion cell receptive…

神经元与认知 · 定量生物学 2019-01-07 Jack Lindsey , Samuel A. Ocko , Surya Ganguli , Stephane Deny
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