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Conscious states (states that there is something it is like to be in) seem both rich or full of detail, and ineffable or hard to fully describe or recall.
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On the computational utility of consciousness
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Processing speed in the cerebral cortex and the neurophysiology of visual masking
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Attentive novelty detection in humans is governed by pre-attentive sensory memory
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The link between brain learning, attention, and consciousness
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From continuous dynamics to symbols
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A recurrent model of the interaction between prefrontal and inferotemporal cortex in delay tasks
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A neural probabilistic language model
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Neurocomputational models of working memory
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The information bottleneck method
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Coding specificity in cortical microcircuits: a multiple-electrode analysis of primate prefrontal cortex
Constantinidis, C., Franowicz, M. N., and Goldman-Rakic, P. S. (2001) · 2001
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Towards a cognitive neuroscience of consciousness: basic evidence and a workspace framework
Dehaene, S. and Naccache, L. (2001) · 2001
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Working memory capacity as executive attention
Engle, R. W. (2002) · 2002
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Probabilistic decision making by slow reverberation in cortical circuits
Wang, X.-J. (2002) · 2002
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Persistent activity in the prefrontal cortex during working memory
Curtis, C. E. and D’Esposito, M. (2003) · 2003
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Attention and working memory: a dynamical model of neuronal activity in the prefrontal cortex
Non-attended representations are perceptual rather than unconscious in nature
Vandenbroucke, A. R., Sligte, I. G., Fahrenfort, J. J., Ambroziak, K. B., and Lamme, V. A. (2012) · 2012
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Cortical control of arm movements: a dynamical systems perspective
Shenoy, K. V., Sahani, M., Churchland, M. M., et al. (2013) · 2013
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Opening the black box: low-dimensional dynamics in high-dimensional recurrent neural networks
Sussillo, D. and Barak, O. (2013) · 2013
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Working models of working memory
Barak, O. and Tsodyks, M. (2014) · 2014
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Spatial coding and attractor dynamics of grid cells in the entorhinal cortex
Burak, Y. (2014) · 2014
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Attributing awareness to oneself and to others
Kelly, Y. T., Webb, T. W., Meier, J. D., Arcaro, M. J., and Graziano, M. S. (2014) · 2014
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Deco, G. and Rolls, E. T. (2003) · 2003
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Kolmogorov complexity and information theory. with an interpretation in terms of questions and answers
Grünwald, P. D. and Vitányi, P. (2003) · 2003
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Theories of access consciousness
Colagrosso, M. and Mozer, M. C. (2004) · 2004
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Shannon information and kolmogorov complexity
Grünwald, P. and Vitányi, P. M. B. (2004) · 2004
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Global workspace theory of consciousness: toward a cognitive neuroscience of human experience
Baars, B. J. (2005) · 2005
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Hierarchical probabilistic neural network language model
Morin, F. and Bengio, Y. (2005) · 2005
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Attractor dynamics in the hippocampal representation of the local environment
Wills, T. J., Lever, C., Cacucci, F., Burgess, N., and O’Keefe, J. (2005) · 2005
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Sparse, decorrelated odor coding in the mushroom body enhances learned odor discrimination
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Neural machine translation by jointly learning to align and translate
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Attention-based models for speech recognition
Chorowski, J. K., Bahdanau, D., Serdyuk, D., Cho, K., and Bengio, Y. (2015) · 2015
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The attention schema theory: a mechanistic account of subjective awareness
Graziano, M. S. and Webb, T. W. (2015) · 2015
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Compression and communication in the cultural evolution of linguistic structure
Kirby, S., Tamariz, M., Cornish, H., and Smith, K. (2015) · 2015
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Working memory capacity: Limits on the bandwidth of cognition
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Cortical activity is more stable when sensory stimuli are consciously perceived
Schurger, A., Sarigiannidis, I., Naccache, L., Sitt, J. D., and Dehaene, S. (2015) · 2015
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What the fly’s nose tells the fly’s brain
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Chaotic itinerancy and its roles in cognitive neurodynamics
Tsuda, I. (2015) · 2015
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Deep variational information bottleneck
Alemi, A. A., Fischer, I., Dillon, J. V., and Murphy, K. (2016) · 2016
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What is the bandwidth of perceptual experience?
Cohen, M. A., Dennett, D. C., and Kanwisher, N. (2016) · 2016
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Illusionism as a theory of consciousness
Frankish, K. (2016) · 2016
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Mind, matter, and metabolism
Godfrey-Smith, P. (2016) · 2016
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Neural population dynamics during reaching are better explained by a dynamical system than representational tuning
Michaels, J. A., Dann, B., and Scherberger, H. (2016) · 2016
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No watershed for overflow: Recent work on the richness of consciousness
Phillips, I. (2016) · 2016
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Bert: Pre-training of deep bidirectional transformers for language understanding
Devlin, J., Chang, M.-W., Lee, K., and Toutanova, K. (2018) · 2018
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Brain-to-brain coupling during handholding is associated with pain reduction
Goldstein, P., Weissman-Fogel, I., Dumas, G., and Shamay-Tsoory, S. G. (2018) · 2018
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Why and how access consciousness can account for phenomenal consciousness
Naccache, L. (2018) · 2018
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Downgraded phenomenology: how conscious overflow lost its richness
Ward, E. J. (2018) · 2018
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Impoverished or rich consciousness outside attentional focus: Recent data tip the balance for overflow
Bronfman, Z. Z., Jacobson, H., and Usher, M. (2019) · 2019
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Bipartite expander hopfield networks as self-decoding high-capacity error correcting codes
Chaudhuri, R. and Fiete, I. (2019) · 2019
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Conscious and unconscious perception: A computational theory
Mathis, D. W. and Mozer, M. C. (2019) · 2019
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The dynamics of intonation: Categorical and continuous variation in an attractor-based model
Roessig, S., Mücke, D., and Grice, M. (2019) · 2019
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Stability of working memory in continuous attractor networks under the control of short-term plasticity
Seeholzer, A., Deger, M., and Gerstner, W. (2019) · 2019
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Toward a standard model of consciousness: Reconciling the attention schema, global workspace, higher-order thought, and illusionist theories
Graziano, M. S., Guterstam, A., Bio, B. J., and Wilterson, A. I. (2020) · 2020
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The invention of consciousness
Humphrey, N. (2020) · 2020
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The dynamical renaissance in neuroscience
Favela, L. H. (2021) · 2021
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Flexible multitask computation in recurrent networks utilizes shared dynamical motifs
Driscoll, L., Shenoy, K., and Sussillo, D. (2022) · 2022
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Inductive biases for deep learning of higher-level cognition
Goyal, A. and Bengio, Y. (2022) · 2022
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Transformers in vision: A survey
Khan, S., Naseer, M., Hayat, M., Zamir, S. W., Khan, F. S., and Shah, M. (2022) · 2022
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Attractor and integrator networks in the brain
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“ineffable”
Oxford English Dictionary (2023) · 2023
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