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Control of synaptic plasticity in deep cortical networks

Nature reviews. Neuroscience, 2018-02, Vol.19 (3), p.166-180

2018

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Basic Neuroscience Research with Nonhuman Primates: A Small but Indispensable Component of Biomedical Research

Neuron (Cambridge, Mass.), 2014-06, Vol.82 (6), p.1200-1204

2014

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Shape perception via a high-channel-count neuroprosthesis in monkey visual cortex

Science (American Association for the Advancement of Science), 2020-12, Vol.370 (6521), p.1191-1196

2020

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Layer-specificity in the effects of attention and working memory on activity in primary visual cortex

Nature communications, 2017-01, Vol.8 (1), p.13804-13804, Article 13804

2017

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The Role of Attention in Figure-Ground Segregation in Areas V1 and V4 of the Visual Cortex

Neuron (Cambridge, Mass.), 2012-07, Vol.75 (1), p.143-156

2012

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Distinct Roles of the Cortical Layers of Area V1 in Figure-Ground Segregation

Current biology, 2013-11, Vol.23 (21), p.2121-2129

2013

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The threshold for conscious report: Signal loss and response bias in visual and frontal cortex

Science (American Association for the Advancement of Science), 2018-05, Vol.360 (6388), p.537-542

2018

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Cortical algorithms for perceptual grouping

Annual review of neuroscience, 2006-01, Vol.29 (1), p.203-227

ROELFSEMA, Pieter R

2006

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Alpha and gamma oscillations characterize feedback and feedforward processing in monkey visual cortex

Proceedings of the National Academy of Sciences - PNAS, 2014-10, Vol.111 (40), p.14332-14341

2014

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Mind Reading and Writing: The Future of Neurotechnology

Trends in cognitive sciences, 2018-07, Vol.22 (7), p.598-610

2018

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Perceptual learning rules based on reinforcers and attention

Trends in cognitive sciences, 2010-02, Vol.14 (2), p.64-71

2010

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Attention for action in visual working memory

Cortex, 2020-10, Vol.131, p.179-194

2020

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Distinct Feedforward and Feedback Effects of Microstimulation in Visual Cortex Reveal Neural Mechanisms of Texture Segregation

Neuron (Cambridge, Mass.), 2017-07, Vol.95 (1), p.209-220.e3

2017

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Recurrent neural networks that learn multi-step visual routines with reinforcement learning

PLoS computational biology, 2024-04, Vol.20 (4), p.e1012030-e1012030

2024

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The Contribution of AMPA and NMDA Receptors to Persistent Firing in the Dorsolateral Prefrontal Cortex in Working Memory

The Journal of neuroscience, 2020-03, Vol.40 (12), p.2458-2470

2020

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The distinct modes of vision offered by feedforward and recurrent processing

Trends in Neurosciences, 2000-11, Vol.23 (11), p.571-579

2000

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Automatic spread of attentional response modulation along Gestalt criteria in primary visual cortex

Nature neuroscience, 2011-10, Vol.14 (10), p.1243-1244

2011

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How attention can create synaptic tags for the learning of working memories in sequential tasks

PLoS computational biology, 2015-03, Vol.11 (3), p.e1004060-e1004060

2015

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Simultaneous selection by object-based attention in visual and frontal cortex

Proceedings of the National Academy of Sciences - PNAS, 2014-04, Vol.111 (17), p.6467-6472

2014

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Bottom-Up Dependent Gating of Frontal Signals in Early Visual Cortex

Science (American Association for the Advancement of Science), 2008-07, Vol.321 (5887), p.414-417

2008

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A Growth-Cone Model for the Spread of Object-Based Attention during Contour Grouping

Current biology, 2014-12, Vol.24 (24), p.2869-2877

2014

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Variance misperception explains illusions of confidence in simple perceptual decisions

Consciousness and cognition, 2014-07, Vol.27, p.246-253

2014

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Texture Segregation Causes Early Figure Enhancement and Later Ground Suppression in Areas V1 and V4 of Visual Cortex

Cerebral cortex (New York, N.Y. 1991), 2016-10, Vol.26 (10), p.3964-3976

2016

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Three Radial Gaps in the Disk of TW Hydrae Imaged with SPHERE

The Astrophysical journal, 2017-03, Vol.837 (2), p.132

2017

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Solving the binding problem: Assemblies form when neurons enhance their firing rate—they don’t need to oscillate or synchronize

Neuron (Cambridge, Mass.), 2023-04, Vol.111 (7), p.1003-1019

Roelfsema, Pieter R.

2023

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Control of synaptic plasticity in deep cortical networks

Basic Neuroscience Research with Nonhuman Primates: A Small but Indispensable Component of Biomedical Research

Shape perception via a high-channel-count neuroprosthesis in monkey visual cortex

Layer-specificity in the effects of attention and working memory on activity in primary visual cortex

The Role of Attention in Figure-Ground Segregation in Areas V1 and V4 of the Visual Cortex

Distinct Roles of the Cortical Layers of Area V1 in Figure-Ground Segregation

The threshold for conscious report: Signal loss and response bias in visual and frontal cortex

Cortical algorithms for perceptual grouping

Alpha and gamma oscillations characterize feedback and feedforward processing in monkey visual cortex

Mind Reading and Writing: The Future of Neurotechnology

Perceptual learning rules based on reinforcers and attention

Attention for action in visual working memory

Distinct Feedforward and Feedback Effects of Microstimulation in Visual Cortex Reveal Neural Mechanisms of Texture Segregation

Recurrent neural networks that learn multi-step visual routines with reinforcement learning

The Contribution of AMPA and NMDA Receptors to Persistent Firing in the Dorsolateral Prefrontal Cortex in Working Memory

The distinct modes of vision offered by feedforward and recurrent processing

Automatic spread of attentional response modulation along Gestalt criteria in primary visual cortex

How attention can create synaptic tags for the learning of working memories in sequential tasks

Simultaneous selection by object-based attention in visual and frontal cortex

Bottom-Up Dependent Gating of Frontal Signals in Early Visual Cortex

A Growth-Cone Model for the Spread of Object-Based Attention during Contour Grouping

Variance misperception explains illusions of confidence in simple perceptual decisions

Texture Segregation Causes Early Figure Enhancement and Later Ground Suppression in Areas V1 and V4 of Visual Cortex

Three Radial Gaps in the Disk of TW Hydrae Imaged with SPHERE

Solving the binding problem: Assemblies form when neurons enhance their firing rate—they don’t need to oscillate or synchronize

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