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We analyse the potential effects of lateral connectivity (amacrine cells and gap junctions) on motion anticipation in the retina. Our main result is that lateral connectivity can-under conditions analysed in the paper-trigger a wave of…

定量方法 · 定量生物学 2020-09-07 Selma Souihel , Bruno Cessac

The retina is the entrance of the visual system. Although based on common biophysical principles the dynamics of retinal neurons is quite different from their cortical counterparts, raising interesting problems for modellers. In this paper…

动力系统 · 数学 2022-01-20 Bruno Cessac

Directed information transmission is paramount for many social, physical, and biological systems. For neural systems, scientists have studied this problem under the paradigm of feedforward networks for decades. In most models of feedforward…

神经元与认知 · 定量生物学 2017-11-21 Yazan N. Billeh , Michael T. Schaub

In the locust's lobula giant movement detector neural pathways, four categories of inhibition, i.e., global inhibition, self-inhibition, lateral inhibition, and feed-forward inhibition, have been functionally explored in the context of…

神经元与认知 · 定量生物学 2025-10-02 Qinbing Fu , Ziyan Qin

We consider a model of basic inner retinal connectivity where bipolar and amacrine cells interconnect, and both cell types project onto ganglion cells, modulating their response output to the brain visual areas. We derive an analytical…

神经元与认知 · 定量生物学 2024-01-10 Evgenia Kartsaki , Gerrit Hilgen , Evelyne Sernagor , Bruno Cessac

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

When two stimuli are present in the receptive field of a V4 neuron, the firing rate response is between the weakest and strongest response elicited by each of the stimuli alone (Reynolds et al, 1999, Journal of Neuroscience 19:1736-1753).…

神经元与认知 · 定量生物学 2007-05-23 Paul H. Tiesinga

Inhibition is considered to shape neural activity, and broaden its pattern repertoire. In the sensory organs, where the anatomy of neural circuits is highly structured, lateral inhibition sharpens contrast among stimulus properties. The…

神经元与认知 · 定量生物学 2018-09-18 Netta Haroush , Shimon Marom

Many neurons in the visual cortex are orientation-selective, increase their firing rate with contrast and are modulated by attention. What is the cortical circuit that underlies these computations? We examine how synchrony can be modulated…

神经元与认知 · 定量生物学 2007-05-23 Paul H. E. Tiesinga , Calin I. Buia

The current leading computer vision models are typically feed forward neural models, in which the output of one computational block is passed to the next one sequentially. This is in sharp contrast to the organization of the primate visual…

计算机视觉与模式识别 · 计算机科学 2019-10-25 Barak Battash , Lior Wolf

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

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…

The ability to predict motion in real time is fundamental to many maneuvering activities in animals, particularly those critical for survival, such as attack and escape responses. Given its significance, it is no surprise that motion…

图像与视频处理 · 电气工程与系统科学 2025-09-16 Subhradip Chakraborty , Shay Snyder , Md Abdullah-Al Kaiser , Maryam Parsa , Gregory Schwartz , Akhilesh R. Jaiswal

Recordings from area V4 of monkeys have revealed that when the focus of attention is on a visual stimulus within the receptive field of a cortical neuron, two distinct changes can occur: The firing rate of the neuron can change and there…

神经元与认知 · 定量生物学 2007-05-23 Paul H. E. Tiesinga , Jean-Marc Fellous , Emilio Salinas , Jorge V. Jose , Terrence J. Sejnowski

The rapid-chase theory of response priming defines a set of behavioral criteria that indicate feedforward processing of visual stimulus features rather than recurrent processing. These feedforward criteria are strong predictions from a…

神经元与认知 · 定量生物学 2014-10-16 Thomas Schmidt

Vital to primary visual processing, retinal circuitry shows many similar structures across a very broad array of species, both vertebrate and non-vertebrate, especially functional components such as lateral inhibition. This surprisingly…

神经与进化计算 · 计算机科学 2021-02-23 Ziyi Gong , Paul Munro

Redundancies and correlations in the responses of sensory neurons seem to waste neural resources but can carry cues about structured stimuli and may help the brain to correct for response errors. To assess how the retina negotiates this…

神经元与认知 · 定量生物学 2014-03-05 K. D. Simmons , J. S. Prentice , G. Tkacik , J. Homann , H. K. Yee , S. E. Palmer , P. C. Nelson , V. Balasubramanian

Networks of fast-spiking interneurons are crucial for the generation of neural oscillations in the brain. Here we study the synchronous behavior of interneuronal networks that are coupled by delayed inhibitory and fast electrical synapses.…

神经元与认知 · 定量生物学 2012-06-22 Daqing Guo , Qingyun Wang , Matjaz Perc

Recently, deep feedforward neural networks have achieved considerable success in modeling biological sensory processing, in terms of reproducing the input-output map of sensory neurons. However, such models raise profound questions about…

神经元与认知 · 定量生物学 2019-12-16 Hidenori Tanaka , Aran Nayebi , Niru Maheswaranathan , Lane McIntosh , Stephen A. Baccus , Surya Ganguli

The Expanding Hole Illusion is a compelling visual phenomenon in which a static, concentric pattern evokes a strong perception of continuous forward motion. Despite its simplicity, this illusion challenges our understanding of how the brain…

神经元与认知 · 定量生物学 2025-01-16 Nasim Nematzadeh , David M. W. Powers
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