中文
相关论文

相关论文: Afferent specificity, feature specific connectivit…

200 篇论文

Neurons in the primary visual cortex are more or less selective for the orientation of a light bar used for stimulation. A broad distribution of individual grades of orientation selectivity has in fact been reported in all species. A…

神经元与认知 · 定量生物学 2015-06-19 Sadra Sadeh , Stefan Rotter

Classical models describe primary visual cortex (V1) as a filter bank of orientation-selective linear-nonlinear (LN) or energy models, but these models fail to predict neural responses to natural stimuli accurately. Recent work shows that…

Mechanisms underlying the emergence of orientation selectivity in the primary visual cortex are highly debated. Here we study the contribution of inhibition-dominated random recurrent networks to orientation selectivity, and more generally…

神经元与认知 · 定量生物学 2014-06-03 Sadra Sadeh , Stefano Cardanobile , Stefan Rotter

Advances in neural recording methods enable sampling from populations of thousands of neurons during the performance of behavioral tasks, raising the question of how recorded activity relates to the theoretical models of computations…

神经元与认知 · 定量生物学 2020-07-01 Audrey J. Sederberg , Ilya Nemenman

Primary visual cortex (V1) is the first stage of cortical image processing, and a major effort in systems neuroscience is devoted to understanding how it encodes information about visual stimuli. Within V1, many neurons respond selectively…

神经元与认知 · 定量生物学 2017-06-21 William F. Kindel , Elijah D. Christensen , Joel Zylberberg

In the past decade, the cell-type specific connectivity and activity of local cortical networks have been characterized experimentally to some detail. In parallel, modeling has been established as a tool to relate network structure to…

神经元与认知 · 定量生物学 2011-06-29 Tobias C. Potjans , Markus Diesmann

When selective attention is devoted to one of multiple stimuli within receptive fields of neurons in visual area V4, cells respond as if only the attended stimulus was present. The underlying neural mechanisms are still debated, but…

神经元与认知 · 定量生物学 2023-05-25 Lukas-Paul Rausch , Maik Schünemann , Eric Drebitz , Daniel Harnack , Udo A. Ernst , Andreas K. Kreiter

This article is devoted to the theoretical and numerical analysis of a network of excitatory and inhibitory neurons of Hodgkin-Huxley (HH) type, for which the topology is inspired by that of a single local layer of visual cortex V1. Our…

神经元与认知 · 定量生物学 2021-08-13 M. Maama , B. Ambrosio , M. A. Aziz-Alaoui , S. M. Mintchev

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

Although neurons in columns of visual cortex of adult carnivores and primates share similar orientation tuning preferences, responses of nearby neurons are surprisingly sparse and temporally uncorrelated, especially in response to complex…

神经元与认知 · 定量生物学 2019-12-04 Hongzhi You , Giacomo Indiveri , Dylan Richard Muir

Computational models of cortical activity provide insight into the mechanisms of higher-order processing in the human brain including planning, perception and the control of movement. Activity in the cortex is ongoing even in the absence of…

神经元与认知 · 定量生物学 2023-07-07 Lysea Haggie , Thor Besier , Angus McMorland

Propagation of oscillatory signals through the cortex and coherence is shaped by the connectivity structure of neuronal circuits. This study systematically investigates the network and stimulus properties that shape network responses. The…

神经元与认知 · 定量生物学 2017-04-28 Hannah Bos , Jannis Schücker , Moritz Helias

Single neurons in neural networks are often interpretable in that they represent individual, intuitively meaningful features. However, many neurons exhibit $\textit{mixed selectivity}$, i.e., they represent multiple unrelated features. A…

机器学习 · 统计学 2023-10-19 David Klindt , Sophia Sanborn , Francisco Acosta , Frédéric Poitevin , Nina Miolane

Deep neural networks set the state-of-the-art across many tasks in computer vision, but their generalization ability to image distortions is surprisingly fragile. In contrast, the mammalian visual system is robust to a wide range of…

计算机视觉与模式识别 · 计算机科学 2021-12-21 Shahd Safarani , Arne Nix , Konstantin Willeke , Santiago A. Cadena , Kelli Restivo , George Denfield , Andreas S. Tolias , Fabian H. Sinz

When attention is directed into the receptive field of a V4 neuron, its contrast response curve is shifted to lower contrast values (Reynolds et al, 2000, Neuron 26:703). Attention also increases the coherence between neurons responding to…

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

Neurons in the visual cortex respond best to rod-like stimuli of given orientation. While the preferred orientation varies continuously across most of the cortex, there are prominent pinwheel centers around which all orientations a re…

统计力学 · 物理学 2009-11-10 Ha Youn Lee , Mehdi Yahyanejad , Mehran Kardar

In the primary visual cortex of primates and carnivores, functional architecture can be characterized by maps of various stimulus features such as orientation preference (OP), ocular dominance (OD), and spatial frequency. It is a…

神经元与认知 · 定量生物学 2015-05-27 Lars Reichl , Dominik Heide , Siegrid Löwel , Justin C. Crowley , Matthias Kaschube , Fred Wolf

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

It has been hypothesized that neural activities in the primary visual cortex (V1) represent a saliency map of the visual field to exogenously guide attention. This hypothesis has so far provided only qualitative predictions and their…

神经元与认知 · 定量生物学 2015-10-08 Li Zhaoping , Li Zhe

Object-based attention is a key component of the visual system, relevant for perception, learning, and memory. Neurons tuned to features of attended objects tend to be more active than those associated with non-attended objects. There is a…

神经元与认知 · 定量生物学 2021-06-09 Jordan Lei , Ari S. Benjamin , Konrad P. Kording
‹ 上一页 1 2 3 10 下一页 ›