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Related papers: Strong attentional modulation of V1/V2 activity im…

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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).…

Neurons and Cognition · Quantitative Biology 2007-05-23 Paul H. Tiesinga

The primary visual cortex processes a large amount of visual information, however, due to its large receptive fields, when multiple stimuli fall within one receptive field, there are computational problems. To solve this problem, the visual…

Neurons and Cognition · Quantitative Biology 2019-04-18 Linda Wang

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…

Neurons and Cognition · Quantitative Biology 2007-05-23 Calin Buia , Paul Tiesinga

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…

Neurons and Cognition · Quantitative Biology 2007-05-23 Paul H. E. Tiesinga , Calin I. Buia

Two prominent strategies that the human visual system uses to reduce incoming information are spatial integration and selective attention. Although spatial integration summarizes and combines information over the visual field, selective…

Neurons and Cognition · Quantitative Biology 2019-06-28 Alessandro Grillini , Remco J. Renken , Frans W. Cornelissen

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…

Neurons and Cognition · Quantitative Biology 2014-06-03 Sadra Sadeh , Stefano Cardanobile , Stefan Rotter

The human brain prioritises relevant sensory information to perform different tasks. Enhancement of task-relevant information requires flexible allocation of attentional resources, but it is still a mystery how this is operationalised in…

Neurons and Cognition · Quantitative Biology 2021-02-22 Tijl Grootswagers , Amanda K. Robinson , Sophia M. Shatek , Thomas A. Carlson

It is known that when multiple stimuli are present, top-down attention selectively enhances the neural signal in the visual cortex for task-relevant stimuli, but this has been tested only under conditions of minimal competition of visual…

Neurons and Cognition · Quantitative Biology 2025-07-01 Omar Claflin

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…

Neurons and Cognition · Quantitative Biology 2019-12-04 Hongzhi You , Giacomo Indiveri , Dylan Richard Muir

Primary visual cortex (V1) provides crucial insights into the selectivity and emergence of specific output features such as orientation tuning. Tuning and selectivity of cortical neurons in mouse visual cortex is not equivocally resolved so…

Unneeded elements in the attention's context degrade performance. We introduce Selective Attention, a simple parameter-free change to the standard attention mechanism which reduces attention to unneeded elements. Selective attention…

Computation and Language · Computer Science 2025-04-25 Yaniv Leviathan , Matan Kalman , Yossi Matias

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…

Neurons and Cognition · Quantitative Biology 2018-09-18 Netta Haroush , Shimon Marom

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…

Neurons and Cognition · Quantitative Biology 2007-05-23 Paul H. E. Tiesinga , Jean-Marc Fellous , Emilio Salinas , Jorge V. Jose , Terrence J. Sejnowski

The mechanisms involved in transforming early visual signals to curvature representations in V4 are unknown. We propose a hierarchical model that reveals V1/V2 encodings that are essential components for this transformation to the reported…

Neurons and Cognition · Quantitative Biology 2022-06-16 Paria Mehrani , John K. Tsotsos

Precise control of neural activity -- modulating target neurons deep in the brain while leaving nearby neurons unaffected -- is an outstanding challenge in neuroscience, generally approached using invasive techniques. This study…

Neurons and Cognition · Quantitative Biology 2025-06-17 Guy Gaziv , Sarah Goulding , Ani Ayvazian-Hancock , Yoon Bai , James J. DiCarlo

Recent electrophysiological experiments have shown that dopamine (D1) modulation of pyramidal cells in prefrontal cortex reduces spike frequency adaptation and enhances NMDA transmission. Using four models, from multicompartmental to…

Neurons and Cognition · Quantitative Biology 2017-12-12 Gabriele Scheler , Jean-Marc Fellous

We investigate attention as the active pursuit of useful information. This contrasts with attention as a mechanism for the attenuation of irrelevant information. We also consider the role of short-term memory, whose use is critical to any…

Machine Learning · Computer Science 2015-11-02 Philip Bachman , David Krueger , Doina Precup

Research has shown that neurons within the brain are selective to certain stimuli. For example, the fusiform face area (FFA) region is known by neuroscientists to selectively activate when people see faces over non-face objects. However,…

Computer Vision and Pattern Recognition · Computer Science 2021-03-24 Edward Kim , Maryam Daniali , Jocelyn Rego , Garrett T. Kenyon

We present SAM, a biologically-plausible selective attention-driven modulation approach to enhance classification models in a continual learning setting. Inspired by neurophysiological evidence that the primary visual cortex does not…

Computer Vision and Pattern Recognition · Computer Science 2024-04-01 Giovanni Bellitto , Federica Proietto Salanitri , Matteo Pennisi , Matteo Boschini , Angelo Porrello , Simone Calderara , Simone Palazzo , Concetto Spampinato

Attention mechanism has gained huge popularity due to its effectiveness in achieving high accuracy in different domains. But attention is opportunistic and is not justified by the content or usability of the content. Transformer like…

Computer Vision and Pattern Recognition · Computer Science 2020-06-26 Chiranjib Sur
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