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Pieter R. Roelfsema
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2020 – today
- 2021
- [j11]Davide Zambrano, Pieter R. Roelfsema, Sander M. Bohté:
Learning continuous-time working memory tasks with on-policy neural reinforcement learning. Neurocomputing 461: 635-656 (2021) - [j10]Ulf H. Schnabel, Tobias Van der Bijl, Pieter R. Roelfsema, Jeannette A. M. Lorteije:
A Direct Comparison of Spatial Attention and Stimulus-Response Compatibility between Mice and Humans. J. Cogn. Neurosci. 33(5): 771-783 (2021) - [j9]Wouter Kruijne, Sander M. Bohté, Pieter R. Roelfsema, Christian N. L. Olivers
:
Flexible Working Memory Through Selective Gating and Attentional Tagging. Neural Comput. 33(1): 1-40 (2021) - 2020
- [c6]Isabella Pozzi, Sander M. Bohté, Pieter R. Roelfsema:
Attention-Gated Brain Propagation: How the brain can implement reward-based error backpropagation. NeurIPS 2020
2010 – 2019
- 2019
- [j8]Matthew W. Self, Timo van Kerkoerle
, Rainer Goebel
, Pieter R. Roelfsema:
Benchmarking laminar fMRI: Neuronal spiking and synaptic activity during top-down and bottom-up processing in the different layers of cortex. NeuroImage 197: 806-817 (2019) - 2018
- [i2]Isabella Pozzi
, Sander M. Bohté, Pieter R. Roelfsema:
A Biologically Plausible Learning Rule for Deep Learning in the Brain. CoRR abs/1811.01768 (2018) - 2015
- [j7]Jaldert O. Rombouts, Sander M. Bohté, Pieter R. Roelfsema
:
How Attention Can Create Synaptic Tags for the Learning of Working Memories in Sequential Tasks. PLoS Comput. Biol. 11(3) (2015) - [j6]Tobias Brosch, Heiko Neumann, Pieter R. Roelfsema
:
Reinforcement Learning of Linking and Tracing Contours in Recurrent Neural Networks. PLoS Comput. Biol. 11(10) (2015) - [c5]Davide Zambrano
, Pieter R. Roelfsema
, Sander M. Bohté:
Continuous-time on-policy neural Reinforcement Learning of working memory tasks. IJCNN 2015: 1-8 - 2014
- [c4]Jaldert O. Rombouts, Pieter R. Roelfsema, Sander M. Bohté:
Learning resets of neural working memory. ESANN 2014 - 2012
- [c3]Jaldert O. Rombouts, Arjen van Ooyen, Pieter R. Roelfsema
, Sander M. Bohté:
Biologically Plausible Multi-dimensional Reinforcement Learning in Neural Networks. ICANN (1) 2012: 443-450 - [c2]Jaldert O. Rombouts, Sander M. Bohté, Pieter R. Roelfsema:
Neurally Plausible Reinforcement Learning of Working Memory Tasks. NIPS 2012: 1880-1888 - [i1]Jaldert O. Rombouts, Pieter R. Roelfsema, Sander M. Bohté:
Learning to Recall. ERCIM News 2012(91) (2012) - 2011
- [c1]Paolo Dario, Paul F. M. J. Verschure
, Tony J. Prescott
, Gordon Cheng
, Giulio Sandini
, Roberto Cingolani, Rüdiger Dillmann, Dario Floreano, Christophe Leroux, Sheila MacNeil, Pieter R. Roelfsema
, Xenophon Verykios, Antonio Bicchi, Chris Melhuish, Alin Albu-Schäffer
:
Robot Companions for Citizens. FET 2011: 47-51 - 2010
- [j5]Ariel Zylberberg, Diego Fernández Slezak
, Pieter R. Roelfsema
, Stanislas Dehaene, Mariano Sigman:
The Brain's Router: A Cortical Network Model of Serial Processing in the Primate Brain. PLoS Comput. Biol. 6(4) (2010)
2000 – 2009
- 2009
- [j4]Judith C. Peters
, Rainer Goebel
, Pieter R. Roelfsema
:
Remembered but Unused: The Accessory Items in Working Memory that Do Not Guide Attention. J. Cogn. Neurosci. 21(6): 1081-1091 (2009) - 2005
- [j3]Pieter R. Roelfsema
, Arjen van Ooyen:
Attention-Gated Reinforcement Learning of Internal Representations for Classification. Neural Comput. 17(10): 2176-2214 (2005) - 2000
- [j2]Sander M. Bohté, Henk Spekreijse, Pieter R. Roelfsema
:
The Effects of Pair-wise and Higher-order Correlations on the Firing Rate of a Postsynaptic Neuron. Neural Comput. 12(1): 153-179 (2000)
1990 – 1999
- 1995
- [j1]Peter König, Andreas K. Engel, Pieter R. Roelfsema
, Wolf Singer:
How precise is neuronal synchronization? Neural Comput. 7(3): 469-485 (1995)
Coauthor Index
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