English
Related papers

Related papers: How does the inner retinal network shape the gangl…

200 papers

We aim to ask and answer an essential question "how quickly do we react after observing a displayed visual target?" To this end, we present psychophysical studies that characterize the remarkable disconnect between human saccadic behaviors…

Human-Computer Interaction · Computer Science 2022-05-06 Budmonde Duinkharjav , Praneeth Chakravarthula , Rachel Brown , Anjul Patney , Qi Sun

Our visual system is astonishingly efficient at detecting moving objects. This process is mediated by the neurons which connect the primary visual cortex (V1) to the middle temporal (MT) area. Interestingly, since Kuffler's pioneering…

Neurons and Cognition · Quantitative Biology 2014-01-23 Stephen G. Odaibo

Prior to receiving visual stimuli, spontaneous, correlated activity called retinal waves drives activity-dependent developmental programs. Early-stage waves mediated by acetylcholine (ACh) manifest as slow, spreading bursts of action…

Neurons and Cognition · Quantitative Biology 2015-06-19 Benjamin Lansdell , Kevin Ford , J. Nathan Kutz

The specific connectivity of a neuronal network is reflected in the dynamics of the signals recorded on its nodes. The analysis of how the activity in one node predicts the behaviour of another gives the directionality in their…

Quantitative Methods · Quantitative Biology 2019-11-21 Víctor J. López-Madrona , Fernanda Matias , Claudio Mirasso , Santiago Canals , Ernesto Pereda

Several theories of early sensory processing suggest that it whitens sensory stimuli. Here, we test three key predictions of the whitening theory using recordings from 152 ganglion cells in salamander retina responding to natural movies. We…

Neurons and Cognition · Quantitative Biology 2017-03-21 Reza Abbasi-Asl , Cengiz Pehlevan , Bin Yu , Dmitri B. Chklovskii

Deep convolutional neural networks (CNNs) have demonstrated impressive performance on many visual tasks. Recently, they became useful models for the visual system in neuroscience. However, it is still not clear what are learned by CNNs in…

Neurons and Cognition · Quantitative Biology 2020-02-19 Qi Yan , Yajing Zheng , Shanshan Jia , Yichen Zhang , Zhaofei Yu , Feng Chen , Yonghong Tian , Tiejun Huang , Jian K. Liu

Generalized linear models are one of the most efficient paradigms for predicting the correlated stochastic activity of neuronal networks in response to external stimuli, with applications in many brain areas. However, when dealing with…

Disordered Systems and Neural Networks · Physics 2020-11-17 Gabriel Mahuas , Giulio Isacchini , Olivier Marre , Ulisse Ferrari , Thierry Mora

Neural circuits in the retina divide the incoming visual scene into more than a dozen distinct representations that are sent on to central brain areas, such as the lateral geniculate nucleus and the superior colliculus. The retina can be…

Neurons and Cognition · Quantitative Biology 2018-06-11 Samuel Chiquita

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…

Biological Physics · Physics 2021-02-10 Po-Yu Chou , Jo-Fan Chien , Kevin Sean Chen , Yu-Ting Huang , Chun-Chung Chen , C. K. Chan

This article gives an overview of a normative computational theory of visual receptive fields, by which idealized functional models of early spatial, spatio-chromatic and spatio-temporal receptive fields can be derived in an axiomatic way…

Neurons and Cognition · Quantitative Biology 2021-01-25 Tony Lindeberg

Temporal interpolation often plays a crucial role to learn meaningful representations in dynamic scenes. In this paper, we propose a novel method to train spatiotemporal neural radiance fields of dynamic scenes based on temporal…

Computer Vision and Pattern Recognition · Computer Science 2023-03-30 Sungheon Park , Minjung Son , Seokhwan Jang , Young Chun Ahn , Ji-Yeon Kim , Nahyup Kang

This paper gives an in-depth theoretical analysis of the direction and speed selectivity properties of idealized models of the spatio-temporal receptive fields of simple cells and complex cells, based on the generalized Gaussian derivative…

Neurons and Cognition · Quantitative Biology 2026-01-15 Tony Lindeberg

The basal ganglia nuclei form a complex network of nuclei often assumed to perform selection, yet their individual roles and how they influence each other is still largely unclear. In particular, the ties between the external and internal…

Neurons and Cognition · Quantitative Biology 2015-12-02 Jean Liénard , Benoît Girard

Cell assemblies manipulation by optogenetics is pivotal to advance neuroscience and neuroengineering. In in vivo applications, photostimulation often broadly addresses a population of cells simultaneously, leading to feed-forward and to…

Neurons and Cognition · Quantitative Biology 2016-04-08 Rocco Pulizzi , Gabriele Musumeci , Chris Van Den Haute , Sebastian Van De Vijver , Veerle Baekelandt , Michele Giugliano

Mathematical modelling of the microcirculatory hemodynamics in the retina is an essential tool for understanding various diseases of the retina, yet remains challenging due to the multiscale nature of the retinal vasculature and its…

Biological Physics · Physics 2026-04-28 Chang Lin , Zilong Song , Robert Eisenberg , Shixin Xu , Huaxiong Huang

The ability of a cell to communicate with its environment is essential for key cellular functions like replication, metabolism, or cell fate decisions. The involved molecular mechanisms are highly dynamic and difficult to capture…

Human-Computer Interaction · Computer Science 2025-09-11 Lena Cibulski , Fiete Haack , Adelinde Uhrmacher , Stefan Bruckner

Neurons in the main center of convergence in the auditory midbrain, the central nucleus of the inferior colliculus (ICC) have been shown to display either linear significant receptive fields, or both, linear and nonlinear significant…

Neurons and Cognition · Quantitative Biology 2020-05-06 Dominika Lyzwa , Chen Chen , Monty A. Escabi , Heather L. Read

A recent Cell paper [Chang and Tsao, 2017] reports an interesting discovery. For the face stimuli generated by a pre-trained active appearance model (AAM), the responses of neurons in the areas of the primate brain that are responsible for…

Computer Vision and Pattern Recognition · Computer Science 2018-05-23 Tian Han , Jiawen Wu , Ying Nian Wu

A cell can be seen as an adaptive autonomous agent or as a society of adaptive autonomous agents, where each can exhibit a particular behaviour depending on its cognitive capabilities. We present an intracellular signalling model obtained…

Multiagent Systems · Computer Science 2007-05-23 Pedro Pablo Gonzalez Perez , Maura Cardenas Garcia , Carlos Gershenson , Jaime Lagunez-Otero

Grid cells in the entorhinal cortex, together with head direction, place, speed and border cells, are major contributors to the organization of spatial representations in the brain. In this work we introduce a novel theoretical and…

Neurons and Cognition · Quantitative Biology 2019-07-25 Fabio Anselmi , Micah M. Murray , Benedetta Franceschiello