Pieter R. Roelfsema

发表

ALGORITHMS FOR THE DETECTION OF CONNECTEDNESS AND THEIR NEURAL IMPLEMENTATION

Pieter R. Roelfsema, Sander M. Bohte, Sander Bohte, 2001 .

Rüdiger Dillmann, Giulio Sandini, Antonio Bicchi, 2011, FET.

The neural mechanisms of figure-ground segregation

Pieter R. Roelfsema, Matthew W. Self, P. Roelfsema, 2015 .

Continuous-time on-policy neural Reinforcement Learning of working memory tasks

Pieter R. Roelfsema, Sander M. Bohte, Davide Zambrano, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

The European Future Technologies Conference and Exhibition 2011 Robot Companions for Citizens

Rüdiger Dillmann, Giulio Sandini, Antonio Bicchi, 2011 .

Object-based attention in the primary visual cortex of the macaque monkey

Pieter R. Roelfsema, Victor A. F. Lamme, Henk Spekreijse, 1998, Nature.

Learning resets of neural working memory

Pieter R. Roelfsema, Sander M. Bohte, Jaldert O. Rombouts, 2014, ESANN.

An Open Resource for Non-human Primate Imaging

Daniel S. Margulies, David A. Leopold, Noam Harel, 2018, Neuron.

Image Parsing, From Curves to Natural Images

Pieter R. Roelfsema, Danique Jeurissen, 2012 .

How Precise is Neuronal Synchronization?

Pieter R. Roelfsema, Andreas K. Engel, Peter König, 1995, Neural Computation.

Flexible Working Memory Through Selective Gating and Attentional Tagging

Pieter R. Roelfsema, Sander M. Bohte, Christian N. L. Olivers, 2021, Neural Computation.

Learning of New Perceptual Groupings - A Biologically Plausible Recurrent Neural Network Model that Learns Contour Integration

Pieter R. Roelfsema, Tobias Brosch, Heiko Neumann, 2014 .

Object Selection by Automatic Spreading of Top-Down Attentional Signals in V1

Pieter R. Roelfsema, Floris P. de Lange, Matthias Ekman, 2020, The Journal of Neuroscience.

How precise is neural synchronization

Pieter R. Roelfsema, Andreas K. Engel, Wolf Singer, 1995 .

Frontal Eye field microstimulation modulates local field potential power in macaque area LIP

Pieter R. Roelfsema, Peter Janssen, Wim Vanduffel, 2010 .

A Biologically Plausible Learning Rule for Deep Learning in the Brain pdf

Pieter R. Roelfsema, Sander M. Bohte, Isabella Pozzi, 2018, ArXiv.

Neurally Plausible Reinforcement Learning of Working Memory Tasks

Pieter R. Roelfsema, Sander M. Bohte, Jaldert O. Rombouts, 2012, NIPS.

Remembered but Unused: The Accessory Items in Working Memory that Do Not Guide Attention

Pieter R. Roelfsema, Rainer Goebel, Judith C. Peters, 2009, Journal of Cognitive Neuroscience.

Rapidly changing synchronisation of gamma-frequency oscillations across visual, parietal, and motor areas of macaque monkeys performing a visuo-motor task

Pieter R. Roelfsema, Wolf Singer, Matthias H. J. Munk, 2000 .

Decision Making during the Psychological Refractory Period

Pieter R. Roelfsema, Mariano Sigman, Ariel Zylberberg, 2012, Current Biology.

Boundary assignment in a recurrent network architecture

Pieter R. Roelfsema, Janneke F. M. Jehee, Janneke F.M. Jehee, 2007, Vision Research.

Reinforcement Learning of Linking and Tracing Contours in Recurrent Neural Networks

Pieter R. Roelfsema, Tobias Brosch, Heiko Neumann, 2015, PLoS Comput. Biol..

Learning to Recall

Pieter R. Roelfsema, Sander M. Bohte, Jaldert O. Rombouts, 2012, ERCIM News.

assemblies: necessity, signature and detectability

Pieter R. Roelfsema, Andreas K. Engel, Wolf Singer, 1997 .

The Brain's Router: A Cortical Network Model of Serial Processing in the Primate Brain

Pieter R. Roelfsema, Mariano Sigman, Diego Fernández Slezak, 2010, PLoS Comput. Biol..

Author response: Serial, parallel and hierarchical decision making in primates

Pieter R. Roelfsema, Mariano Sigman, Jeannette A. M. Lorteije, 2016 .

Biologically Plausible Multi-dimensional Reinforcement Learning in Neural Networks

Pieter R. Roelfsema, Sander M. Bohte, Arjen van Ooyen, 2012, ICANN.

Binding Contour Segments into Spatially Extended Objects

Pieter R. Roelfsema, Henk Spekreijse, H. Spekreijse, 2005 .

Parallel formation of multiple decisions in the visual cortex

Pieter R. Roelfsema, Mariano Sigman, Jeannette A. M. Lorteije, 2013 .

Control of synaptic plasticity in deep cortical networks

Pieter R. Roelfsema, Anthony Holtmaat, A. Holtmaat, 2018, Nature Reviews Neuroscience.

3D printing and modelling of customized implants and surgical guides for non-human primates

Pieter R. Roelfsema, Anne F van Ham, P. Christiaan Klink, 2017, Journal of Neuroscience Methods.

Attention-Gated Reinforcement Learning of Internal Representations for Classification

Pieter R. Roelfsema, Arjen van Ooyen, P. Roelfsema, 2005, Neural Computation.

Direct comparison of population receptive fields from fMRI and large-scale neurophysiological recordings in awake non-human primates

Pieter R. Roelfsema, Wim Vanduffel, Xing Chen, 2020, bioRxiv.

DeepAGREL: Biologically plausible deep learning via direct reinforcement

Pieter R. Roelfsema, Isabella Pozzi, Sander M. Bohte, 2019 .

Astronomical Data Analysis Software and Systems I

Pieter R. Roelfsema, J. P. Terlouw, Van Der Hulst, 1992 .

Author response: Serial grouping of 2D-image regions with object-based attention in humans

Pieter R. Roelfsema, Danique Jeurissen, Matthew W. Self, 2016 .

Working memory accuracy for multiple targets is driven by reward expectation and stimulus contrast with different time-courses

Jan Theeuwes, Pieter R. Roelfsema, Danique Jeurissen, 2017, Scientific Reports.

The Effects of Pair-wise and Higher-order Correlations on the Firing Rate of a Postsynaptic Neuron

Pieter R. Roelfsema, Sander M. Bohte, Henk Spekreijse, 1998, Neural Computation.

Electrochemical measurement of acetylcholine in the dorsolateral prefrontal cortex: A technical report

Pieter R. Roelfsema, Chris van der Togt, Devavrat Vartak, 2017, bioRxiv.

Flexible working memory through selective gating and attentional tagging

Pieter R. Roelfsema, Sander M. Bohte, Christian N. L. Olivers, 2019, bioRxiv.

Attention-Gated Brain Propagation: How the brain can implement reward-based error backpropagation

Pieter R. Roelfsema, Isabella Pozzi, Sander M. Bohté, 2020, NeurIPS.

How Attention Can Create Synaptic Tags for the Learning of Working Memories in Sequential Tasks

Pieter R. Roelfsema, Sander M. Bohte, Jaldert O. Rombouts, 2015, PLoS Comput. Biol..

Q-AGREL: Biologically Plausible Attention Gated Deep Reinforcement Learning

Pieter R. Roelfsema, Isabella Pozzi, Sander M. Bohte, 2019, 2019 Conference on Cognitive Computational Neuroscience.

Benchmarking laminar fMRI: Neuronal spiking and synaptic activity during top-down and bottom-up processing in the different layers of cortex

Pieter R. Roelfsema, Rainer Goebel, Matthew W. Self, 2017, NeuroImage.

Binding and Response Selection in the Temporal Domain - a New Paradigm for Neurobiological Research

Pieter R. Roelfsema, Andreas K. Engel, Wolf Singer, 1997 .

Features or space: Which dominates attentional selection?

Pieter R. Roelfsema, Jillian H. Fecteau, Ilia Korjoukov, 2007 .

Learning continuous-time working memory tasks with on-policy neural reinforcement learning

Pieter R. Roelfsema, Sander Bohte, Davide Zambrano, 2021, Neurocomputing.

A learning rule that explains how rewards teach attention

Pieter R. Roelfsema, Sander M. Bohte, Julio C. Martinez-Trujillo, 2015 .

Investigating FEF microstimulation and distractor effects in visual cortex with awake monkey fMRI

Pieter R. Roelfsema, Giorgio Bonmassar, Wim Vanduffel, 2006 .

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

Pieter R. Roelfsema, Arezoo Pooresmaeili, P. Roelfsema, 2014, Current Biology.

Noise Correlations Have Little Influence on the Coding of Selective Attention in Area V1

Pieter R. Roelfsema, Jasper Poort, P. Roelfsema, 2008, Cerebral cortex.

The Effects of Context and Attention on Spiking Activity in Human Early Visual Cortex

Leila Reddy, Pieter R. Roelfsema, Rainer Goebel, 2016, PLoS biology.

Figure-ground perception in the awake mouse and neuronal activity elicited by figure-ground stimuli in primary visual cortex

Pieter R. Roelfsema, Jeannette A. M. Lorteije, Matthew W. Self, 2018, Scientific Reports.

Mind Reading and Writing: The Future of Neurotechnology

Pieter R. Roelfsema, Damiaan Denys, P. Christiaan Klink, 2018, Trends in Cognitive Sciences.

Neuroscience: Figured Out by Feedback to the Thalamus

Pieter R. Roelfsema, Matthew W. Self, P. Roelfsema, 2019, Current Biology.

Neuronal synchronization is a correlate of perceptual dominance in awake squinting cats

Pieter R. Roelfsema, Andreas K. Engel, Peter König, 1996 .

Pieter R. Roelfsema, Andreas K. Engel, Wolf Singer, 1997 .

Different Processing Phases for Features, Figures, and Selective Attention in the Primary Visual Cortex

Pieter R. Roelfsema, Michiel Tolboom, P. Roelfsema, 2007, Neuron.

Inhibitory Interneuron Classes Express Complementary AMPA-Receptor Patterns in Macaque Primary Visual Cortex

Pieter R. Roelfsema, Matthew W. Self, Floris G. Wouterlood, 2014, The Journal of Neuroscience.

The Representation of Erroneously Perceived Stimuli in the Primary Visual Cortex

Pieter R. Roelfsema, Henk Spekreijse, H. Spekreijse, 2001, Neuron.

A gradual spread of attention

Pieter R. Roelfsema, Henk Spekreijse, Roos Houtkamp, 2003 .

Oscillations and Synchrony in the Visual Cortex: Evidence for Their Functional Relevance

Pieter R. Roelfsema, Andreas K. Engel, Peter König, 1994 .

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

Pieter R. Roelfsema, Matthew W. Self, Hans Supèr, 2013, Current Biology.

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

Pieter R. Roelfsema, Matthew W. Self, Jasper Poort, 2016, Cerebral cortex.

Interactions between higher and lower visual areas improve shape selectivity of higher level neurons—Explaining crowding phenomena

Gustavo Deco, Pieter R. Roelfsema, Victor A. F. Lamme, 2007, Brain Research.

Paying Attention to the Cortical Layers

Pieter R. Roelfsema, Matthew W. Self, P. Roelfsema, 2017, Neuron.

Additive Effects of Attention and Stimulus Contrast in Primary Visual Cortex

Pieter R. Roelfsema, Alexander Thiele, Arezoo Pooresmaeili, 2009, Cerebral cortex.

Variance misperception explains illusions of confidence in simple perceptual decisions

Pieter R. Roelfsema, Ariel Zylberberg, Mariano Sigman, 2014, Consciousness and Cognition.

Synchronized gamma frequency oscillations correlate with perception during binocular rivalry in awake squinting ca

Pieter R. Roelfsema, Andreas K. Engel, Peter König, 1996 .

Correlates of strabismic amblyopia in cat extrastriate visual areas

Pieter R. Roelfsema, Andreas K. Engel, Wolf Singer, 1998 .

Location and color biases have different influences on selective attention

Pieter R. Roelfsema, Jillian H. Fecteau, Ilia Korjoukov, 2009, Vision Research.

Surface reconstruction, figure-ground modulation, and border-ownership

Pieter R. Roelfsema, Danique Jeurissen, Matthew W. Self, 2013, Cognitive neuroscience.