Cyriel Pennartz

Last updated
Cyriel Pennartz
Born
Cyriel Marie Antoine Pennartz

(1963-10-07) 7 October 1963 (age 61)
Alma mater University of Amsterdam
Known for Memory,
circadian rhythm
perception
consciousness
AwardsUnilever Research Prize (1986)
Scientific career
Fields Systems neuroscience, cognitive neuroscience
Institutions University of Amsterdam
Doctoral advisor Fernando Lopes da Silva

Cyriel Marie Antoine Pennartz (born October 7, 1963) is a Dutch neuroscientist serving as professor and head of the Department of Cognitive and Systems Neuroscience at the University of Amsterdam, the Netherlands. [1] He is known for his research on memory, motivation, circadian rhythms, perception [2] [3] and consciousness. [4] [5] Pennartz’ work uses a multidisciplinary combination of techniques to understand the relationships between distributed neural activity and cognition, including in vivo electrophysiology and optical imaging, animal behavior and computational modelling.

Contents

Career

Pennartz studied biology at Radboud University Nijmegen and University of Amsterdam with specializations in neurobiology, philosophy and computational neuroscience. He obtained his PhD degree in Neuroscience cum laude at the University of Amsterdam under the supervision of Fernando Lopes da Silva and Henk Groenewegen. His PhD project and follow-up research examined the physiology and plasticity of brain circuits involved in memory and motivation, focusing on the hippocampus and ventral striatum. [6] [7] [8] [9] [10]

He proceeded to work on computational models of reinforcement learning as a postdoctoral fellow in Computational Neuroscience at the Department of Physics of Computation of the California Institute of Technology with John Hopfield. [11] [12]

In 1994 he initiated research on the cellular electrophysiology of the brain's circadian clock as tenured group leader at the Netherlands Institute for Brain Research. [13] [14]

He uncovered replay of reward information in the ventral striatum during sleep, using in vivo ensemble recordings made with tetrode arrays, a technique he introduced to the Netherlands in collaboration with Bruce McNaughton and Carol Barnes at the University of Arizona (Tucson, U.S.A.) [15] [16] [17]

In 2003 he was appointed professor in Cognitive and Systems Neuroscience at the University of Amsterdam, where he currently leads a group of ~35 people. His main goal is to advance our understanding of multisensory perception, [18] [19] [20] learning and memory [21] [22] [23] [24] [25] and consciousness [26] [27] by integrating experimental, theoretical and computational approaches to neuroscience. To achieve this, the group develops novel techniques for multi-area electrophysiology, [28] computer simulations of brain processes, [29] analytical tools [30] [31] and causal interventions. [32] Pennartz published a theory on consciousness known as Neurorepresentationalism. [33] [34] [35] [36] [37] Using predictive processing principles, [38] this theory characterizes conscious experience as a multimodally rich, spatially encompassing representation of one's world, including one's own body. Recently his work has been ramifying into the clinical domain, studying disorders of consciousness and memory, and into neurotechnology, developing new methods to combat consequences of stroke.

Leadership in science and education; honors and awards

At the University of Amsterdam, he co-develops curricula and courses in Psychobiology (Bachelor), Biomedical Sciences (Bachelor), Brain and Cognitive Sciences (Master) and founded the Master track Cognitive Neurobiology and Clinical Neurophysiology. At the national level, he served for instance as co-leader of the National Science Agenda section on Brain, Behavior & Cognition (Neurolab.nl) with [Eveline Crone] and [Andrea Evers]. Since 2015, he joined the EU FET Flagship Human Brain Project (HBP) [39] through an open call, and continues to lead HBP's Systems and Cognitive Neuroscience Research. Representing these disciplines, he was elected member of the main governing body of HBP, the Scientific and Infrastructure Board. Pennartz received various awards, grants and honours, for example:

Bibliography

Related Research Articles

<span class="mw-page-title-main">Striatum</span> Nucleus in the basal ganglia of the brain

The striatum or corpus striatum is a cluster of interconnected nuclei that make up the largest structure of the subcortical basal ganglia. The striatum is a critical component of the motor and reward systems; receives glutamatergic and dopaminergic inputs from different sources; and serves as the primary input to the rest of the basal ganglia.

Computational neuroscience is a branch of neuroscience which employs mathematics, computer science, theoretical analysis and abstractions of the brain to understand the principles that govern the development, structure, physiology and cognitive abilities of the nervous system.

Wakefulness is a daily recurring brain state and state of consciousness in which an individual is conscious and engages in coherent cognitive and behavioral responses to the external world.

<span class="mw-page-title-main">Dopaminergic pathways</span> Projection neurons in the brain that synthesize and release dopamine

Dopaminergic pathways in the human brain are involved in both physiological and behavioral processes including movement, cognition, executive functions, reward, motivation, and neuroendocrine control. Each pathway is a set of projection neurons, consisting of individual dopaminergic neurons.

<span class="mw-page-title-main">Nigrostriatal pathway</span> Bilateral pathway in the brain

The nigrostriatal pathway is a bilateral dopaminergic pathway in the brain that connects the substantia nigra pars compacta (SNc) in the midbrain with the dorsal striatum in the forebrain. It is one of the four major dopamine pathways in the brain, and is critical in the production of movement as part of a system called the basal ganglia motor loop. Dopaminergic neurons of this pathway release dopamine from axon terminals that synapse onto GABAergic medium spiny neurons (MSNs), also known as spiny projection neurons (SPNs), located in the striatum.

<span class="mw-page-title-main">Ventral tegmental area</span> Group of neurons on the floor of the midbrain

The ventral tegmental area (VTA), also known as the ventral tegmental area of Tsai, or simply ventral tegmentum, is a group of neurons located close to the midline on the floor of the midbrain. The VTA is the origin of the dopaminergic cell bodies of the mesocorticolimbic dopamine system and other dopamine pathways; it is widely implicated in the drug and natural reward circuitry of the brain. The VTA plays an important role in a number of processes, including reward cognition and orgasm, among others, as well as several psychiatric disorders. Neurons in the VTA project to numerous areas of the brain, ranging from the prefrontal cortex to the caudal brainstem and several regions in between.

<span class="mw-page-title-main">Adult neurogenesis</span> Generating of neurons from neural stem cells in adults

Adult neurogenesis is the process in which neurons are generated from neural stem cells in the adult. This process differs from prenatal neurogenesis.

The consciousness and binding problem is the problem of how objects, background, and abstract or emotional features are combined into a single experience. The binding problem refers to the overall encoding of our brain circuits for the combination of decisions, actions, and perception. It is considered a "problem" due to the fact that no complete model exists.

<span class="mw-page-title-main">Neural oscillation</span> Brainwaves, repetitive patterns of neural activity in the central nervous system

Neural oscillations, or brainwaves, are rhythmic or repetitive patterns of neural activity in the central nervous system. Neural tissue can generate oscillatory activity in many ways, driven either by mechanisms within individual neurons or by interactions between neurons. In individual neurons, oscillations can appear either as oscillations in membrane potential or as rhythmic patterns of action potentials, which then produce oscillatory activation of post-synaptic neurons. At the level of neural ensembles, synchronized activity of large numbers of neurons can give rise to macroscopic oscillations, which can be observed in an electroencephalogram. Oscillatory activity in groups of neurons generally arises from feedback connections between the neurons that result in the synchronization of their firing patterns. The interaction between neurons can give rise to oscillations at a different frequency than the firing frequency of individual neurons. A well-known example of macroscopic neural oscillations is alpha activity.

<span class="mw-page-title-main">Neural binding</span>

Neural binding is the neuroscientific aspect of what is commonly known as the binding problem: the interdisciplinary difficulty of creating a comprehensive and verifiable model for the unity of consciousness. "Binding" refers to the integration of highly diverse neural information in the forming of one's cohesive experience. The neural binding hypothesis states that neural signals are paired through synchronized oscillations of neuronal activity that combine and recombine to allow for a wide variety of responses to context-dependent stimuli. These dynamic neural networks are thought to account for the flexibility and nuanced response of the brain to various situations. The coupling of these networks is transient, on the order of milliseconds, and allows for rapid activity.

Head direction (HD) cells are neurons found in a number of brain regions that increase their firing rates above baseline levels only when the animal's head points in a specific direction. They have been reported in rats, monkeys, mice, chinchillas and bats, but are thought to be common to all mammals, perhaps all vertebrates and perhaps even some invertebrates, and to underlie the "sense of direction". When the animal's head is facing in the cell's "preferred firing direction" these neurons fire at a steady rate, but firing decreases back to baseline rates as the animal's head turns away from the preferred direction.

<span class="mw-page-title-main">Stanislas Dehaene</span> French cognitive neuroscientist

Stanislas Dehaene is a French author and cognitive neuroscientist whose research centers on a number of topics, including numerical cognition, the neural basis of reading and the neural correlates of consciousness. As of 2017, he is a professor at the Collège de France and, since 1989, the director of INSERM Unit 562, "Cognitive Neuroimaging".

In cognitive neuroscience, visual modularity is an organizational concept concerning how vision works. The way in which the primate visual system operates is currently under intense scientific scrutiny. One dominant thesis is that different properties of the visual world require different computational solutions which are implemented in anatomically/functionally distinct regions that operate independently – that is, in a modular fashion.

Michael Steven Anthony Graziano is an American scientist and novelist who is currently a professor of Psychology and Neuroscience at Princeton University. His scientific research focuses on the brain basis of awareness. He has proposed the "attention schema" theory, an explanation of how, and for what adaptive advantage, brains attribute the property of awareness to themselves. His previous work focused on how the cerebral cortex monitors the space around the body and controls movement within that space. Notably he has suggested that the classical map of the body in motor cortex, the homunculus, is not correct and is better described as a map of complex actions that make up the behavioral repertoire. His publications on this topic have had a widespread impact among neuroscientists but have also generated controversy. His novels rely partly on his background in psychology and are known for surrealism or magic realism. Graziano also composes music including symphonies and string quartets.

Neural decoding is a neuroscience field concerned with the hypothetical reconstruction of sensory and other stimuli from information that has already been encoded and represented in the brain by networks of neurons. Reconstruction refers to the ability of the researcher to predict what sensory stimuli the subject is receiving based purely on neuron action potentials. Therefore, the main goal of neural decoding is to characterize how the electrical activity of neurons elicit activity and responses in the brain.

<span class="mw-page-title-main">Ventrolateral prefrontal cortex</span> Part of the prefrontal cortex of the brain

The ventrolateral prefrontal cortex (VLPFC) is a section of the prefrontal cortex located on the inferior frontal gyrus, bounded superiorly by the inferior frontal sulcus and inferiorly by the lateral sulcus. It is attributed to the anatomical structures of Brodmann's area (BA) 47, 45 and 44.

James Van Loan Haxby is an American neuroscientist. He currently is a professor in the Department of Psychological and Brain Sciences at Dartmouth College and was the Director for the Dartmouth Center for Cognitive Neuroscience from 2008 to 2021. He is best known for his work on face perception and applications of machine learning in functional neuroimaging.

<span class="mw-page-title-main">John-Dylan Haynes</span> British-German brain researcher (born 1971)

John-Dylan Haynes is a British-German brain researcher.

Jessica Cardin is an American neuroscientist who is an associate professor of neuroscience at Yale University School of Medicine. Cardin's lab studies local circuits within the primary visual cortex to understand how cellular and synaptic interactions flexibly adapt to different behavioral states and contexts to give rise to visual perceptions and drive motivated behaviors. Cardin's lab applies their knowledge of adaptive cortical circuit regulation to probe how circuit dysfunction manifests in disease models.

<span class="mw-page-title-main">Anders Björklund</span> Swedish neuroscientist (born 1945)

Anders Björklund is a Swedish neuroscientist and pioneer in the study of cell- and gene-based reparative and neuroprotective mechanisms in the brain. He has spent his academic career at Lund University in Sweden, as professor since 1983 and as senior professor at the Wallenberg Neuroscience Center since his formal retirement in 2012.

References

  1. "Systems and Cognitive Neuroscience at the University of Amsterdam". 16 June 2021.
  2. Pennartz, C. M. A. (March 24, 2021). "Waar ben ik?" [Where am I?]. VPRO Gids (Dutch magazine) (Interview). Interviewed by Hans van Wetering. p. 30. Retrieved August 19, 2021.
  3. Makri, Elina (May 28, 2021). "What makes people act irrationally?". Raidió Teilifís Éireann (Irish public broadcaster). Retrieved August 19, 2021.
  4. Pennartz, C. M. A. (June 2, 2021). "Wij zijn meer dan ons brein" [We are more than our brain]. VPRO Gids (Dutch magazine) (Interview). Interviewed by Bennie Mols. p. 28. Retrieved August 19, 2021.
  5. Pennartz, C. M. A. (June 19, 2021). "'Wij leven in een gezonde hallucinatie'" ['We live in a healthy hallucination']. NRC Handelsblad (Dutch newspaper) (Interview). Interviewed by Hendrik Spiering. Retrieved August 19, 2021.
  6. Pennartz, C. M.; Groenewegen, H. J.; Lopes da Silva, F. H. (1994). "The nucleus accumbens as a complex of functionally distinct neuronal ensembles: an integration of behavioural, electrophysiological and anatomical data". Prog. Neurobiol. 42 (6): 719–761. doi:10.1016/0301-0082(94)90025-6. PMID   7938546. S2CID   27698282.
  7. Pennartz, C. M.; Ameerun, R. F.; Lopes da Silva, F. H. (1993). "Synaptic plasticity in an in vitro slice preparation of the rat nucleus accumbens". Eur. J. Neurosci. 5 (2): 107–117. doi:10.1111/j.1460-9568.1993.tb00475.x. PMID   7903183. S2CID   38195220.
  8. Pennartz, C. M.; Kitai, S. T. (1991). "Hippocampal inputs to identified neurons in an in vitro slice preparation of the rat nucleus accumbens: evidence for feed-forward inhibition". J. Neurosci. 11 (9): 2838–2847. doi:10.1523/jneurosci.11-09-02838.1991. PMC   6575237 . PMID   1679123.
  9. Pennartz, C. M.; Ito, R.; Verschure, P. F.; Battaglia, F. P.; Robbins, T.W. (2011). "The hippocampal-striatal axis in learning, prediction and goal-directed behavior". Trends Neurosci. 34 (10): 548–559. doi:10.1016/j.tins.2011.08.001. PMID   21889806. S2CID   10304061.
  10. Taverna, S.; Van Dongen, Y. C.; Groenewegen, H. J.; Pennartz, C. M. (2004). "Direct physiological evidence for synaptic connectivity between medium-sized spiny neurons in rat nucleus accumbens in situ". J. Neurophysiol. 91 (3): 1111–1121. doi:10.1152/jn.00892.2003. PMID   14573550.
  11. Pennartz, C. M. A. (1997). "Reinforcement learning by Hebbian synapses with adaptive thresholds". Neuroscience. 81 (2): 303–319. doi:10.1016/S0306-4522(97)00118-8. PMID   9300423. S2CID   42929297.
  12. Pennartz, C. M. A. (1995). "The ascending neuromodulatory systems in learning by reinforcement: comparing computational conjectures with experimental findings". Brain Res Rev. 21 (3): 219–245. doi:10.1016/0165-0173(95)00014-3. PMID   8806015. S2CID   29093094.
  13. Pennartz, C. M.; De Jeu, M. T.; Bos, N. P.; Schaap, J.; Geurtsen, A. M. (2002). "Diurnal modulation of pacemaker potentials and calcium current in the mammalian circadian clock". Nature. 416 (6878): 286–290. doi:10.1038/nature728. PMID   11875398. S2CID   4420946.
  14. De Jeu, M.; Pennartz, C. (2002). "Circadian modulation of GABA function in the rat suprachiasmatic nucleus: excitatory effects during the night phase". J. Neurophysiol. 87 (2): 834–844. doi:10.1152/jn.00241.2001. PMID   11826050.
  15. Lansink, C. S.; Goltstein, P. M.; Lankelma, J. V.; McNaughton, B. L.; Pennartz, C. M. (2009). "Hippocampus leads ventral striatum in replay of place-reward information". PLOS Biology. 7 (8): e1000173. doi: 10.1371/journal.pbio.1000173 . PMC   2717326 . PMID   19688032.
  16. Pennartz, C. M.; Lee, E.; Verheul, J.; Lipa, P.; Barnes, C. A.; McNaughton, B. L. (2004). "The ventral striatum in off-line processing: ensemble reactivation during sleep and modulation by hippocampal ripples". J. Neurosci. 24 (29): 6446–6456. doi:10.1523/JNEUROSCI.0575-04.2004. PMC   6729862 . PMID   15269254.
  17. Lansink, C. S.; Goltstein, P. M.; Lankelma, J. V; Joosten, R. N. J. M. A.; McNaughton, B. L.; Pennartz, C. M. A. (2008). "Preferential reactivation of motivationally relevant information in the ventral striatum". J. Neurosci. 28 (25): 6372–6382. doi:10.1523/JNEUROSCI.1054-08.2008. PMC   3844781 . PMID   18562607.
  18. Meijer, G. T.; Marchesi, P.; Mejias, J. F.; Montijn, J. S.; Lansink, C. S.; Pennartz, C. M. A. (2020). "Neural correlates of multisensory detection behavior: comparison of primary and higher-order visual cortex". Cell Rep. 31 (6): 107636. doi: 10.1016/j.celrep.2020.107636 . hdl: 11245.1/bb562c7a-68a7-411d-a4d4-f180b1806f85 . PMID   32402272. S2CID   218635746.
  19. Montijn, J. S.; Goltstein, P. M.; Pennartz, C. M. (2015). "Mouse V1 population correlates of visual detection rely on heterogeneity within neuronal response patterns". eLife. 4: e10163. doi: 10.7554/eLife.10163 . PMC   4739777 . PMID   26646184.
  20. Montijn, J. S.; Meijer, G. T.; Lansink, C. S.; Pennartz, C. M. (2016). "Population-level neural codes are robust to single-neuron variability from a multidimensional coding perspective". Cell Rep. 16 (9): 2486–2498. doi: 10.1016/j.celrep.2016.07.065 . PMID   27545876.
  21. Goltstein, P. M.; Coffey, E. B.; Roelfsema, P. R.; Pennartz, C. M. (2013). "In vivo two-photon Ca2+ imaging reveals selective reward effects on stimulus-specific assemblies in mouse visual cortex". J. Neurosci. 33 (28): 11540–11555. doi:10.1523/JNEUROSCI.1341-12.2013. PMC   6618686 . PMID   23843524.
  22. Goltstein, P. M.; Meijer, G. T.; Pennartz, C. M. (2018). "Conditioning sharpens the spatial representation of rewarded stimuli in mouse primary visual cortex". eLife. 7: e37683. doi: 10.7554/eLife.37683 . PMC   6141231 . PMID   30222107.
  23. Daselaar, S. M.; Huijbers, W.; De Jonge, M.; Goltstein, P. M.; Pennartz, C.M. (2010). "Experience-dependent alterations in conscious resting state activity following perceptuomotor learning". Neurobiol. Learn. Mem. 93 (3): 422–427. doi:10.1016/j.nlm.2009.12.009. PMID   20045076. S2CID   2797255.
  24. Lansink, C. S.; Jackson, J. C.; Lankelma, J. V.; Ito, R.; Robbins, T. W.; Everitt, B. J.; Pennartz, C. M. A. (2012). "Reward cues in space: commonalities and differences in neural coding by hippocampal and ventral striatal ensembles". J. Neurosci. 32 (36): 12444–12459. doi:10.1523/JNEUROSCI.0593-12.2012. PMC   3492752 . PMID   22956836.
  25. Van Wingerden, M.; Vinck, M.; Lankelma, J. V.; Pennartz, C. M. (2010). "Learning-associated gamma-band phase-locking of action-outcome selective neurons in orbitofrontal cortex". J. Neurosci. 30 (30): 10025–10038. doi:10.1523/JNEUROSCI.0222-10.2010. PMC   6633375 . PMID   20668187.
  26. Goltstein, P. M.; Montijn, J. S.; Pennartz, C. M. (2015). "Effects of isoflurane anesthesia on ensemble patterns of Ca2+ activity in mouse V1: reduced direction selectivity independent of increased correlations in cellular activity". PLOS ONE. 10 (2): e0118277. Bibcode:2015PLoSO..1018277G. doi: 10.1371/journal.pone.0118277 . PMC   4338011 . PMID   25706867.
  27. Olcese, U.; Bos., J. J.; Vinck, M.; Lankelma, J. V.; Van Mourik-Donga, L. B.; Schlumm, F.; Pennartz, C. M. A. (2016). "Spike-based functional connectivity in cerebral cortex and hippocampus: loss of global connectivity is coupled to preservation of local connectivity during non-REM sleep". J. Neurosci. 36 (29): 7676–7692. doi:10.1523/JNEUROSCI.4201-15.2016. PMC   6705553 . PMID   27445145.
  28. Bos, J. J.; Vinck, M.; Van Mourik-Donga, L. A.; Jackson, J. C.; Witter, M. P.; Pennartz, C. M. A. (2017). "Perirhinal firing patterns are sustained across large spatial segments of the task environment". Nat. Commun. 8: 15602. Bibcode:2017NatCo...815602B. doi:10.1038/ncomms15602. PMC   5458559 . PMID   28548084.
  29. Dora, S.; Pennartz, C.; Bohte, S. (2018). "A Deep Predictive Coding Network for Inferring Hierarchical Causes Underlying Sensory Inputs". Artificial Neural Networks and Machine Learning – ICANN 2018. Lecture Notes in Computer Science. Vol. 11141. pp. 457–467. doi:10.1007/978-3-030-01424-7_45. ISBN   978-3-030-01423-0. S2CID   52913055.
  30. Vinck, M.; Battaglia, F. P.; Womelsdorf, T.; Pennartz, C. (2012). "Improved measures of phase-coupling between spikes and the local field potential". J. Comput. Neurosci. 33 (1): 53–75. doi:10.1007/s10827-011-0374-4. PMC   3394239 . PMID   22187161.
  31. Vinck, M.; Oostenveld, R.; Van Wingerden, M.; Battaglia, F.; Pennartz, C. M. (2011). "An improved index of phase synchronization for electrophysiological data in the presence of volume-conduction, noise and sample-size bias". NeuroImage. 55 (4): 1548–1565. doi:10.1016/j.neuroimage.2011.01.055. hdl: 2066/115486 . PMID   21276857. S2CID   4933951.
  32. Van Wingerden, M.; Vinck, M.; Tijms, V.; Ferreira, I. R. S.; Jonker, A. J.; Pennartz, C. M. A. (2012). "NMDA receptors control cue-outcome selectivity and plasticity of orbitofrontal firing patterns during associative stimulus-reward learning". Neuron. 76 (4): 813–825. doi: 10.1016/j.neuron.2012.09.039 . PMID   23177965. S2CID   4065341.
  33. Pennartz, C. M. A. (2015). The brain's representational power - on consciousness and the integration of modalities. MIT Press. ISBN   9780262029315.
  34. Pennartz, C. M. A. (2018). "Consciousness, Representation, Action: the importance of being goal-directed". Trends Cogn. Sci. 22 (2): 137–153. doi:10.1016/j.tics.2017.10.006. PMID   29233478. S2CID   3012806.
  35. Olcese, U.; Oude Lohuis, M. N.; Pennartz, C. M. A. (2018). "Sensory processing across conscious and nonconscious brain states: from single neurons to distributed networks for inferential representation". Front. Syst. Neurosci. 12: 49. doi: 10.3389/fnsys.2018.00049 . PMC   6193318 . PMID   30364373.
  36. Pennartz, C. M. A. (2009). "Identification and integration of sensory modalities: neural basis and relation to consciousness". Conscious. Cogn. 18 (3): 718–739. doi:10.1016/j.concog.2009.03.003. PMID   19409812. S2CID   38558476.
  37. Pennartz, C. M. A. (2021). De code van het bewustzijn (The code of consciousness; in Dutch). Prometheus. ISBN   9789044631913.
  38. Pennartz, C. M. A.; Dora, S.; Muckli, L.; Lorteije, J. A. M. (2019). "Towards a unified view on pathways and functions of neural recurrent processing". Trends Neurosci. 42 (9): 589–603. doi: 10.1016/j.tins.2019.07.005 . hdl: 11245.1/de94fa4b-af61-422b-be87-0e6a98b29515 . PMID   31399289. S2CID   199518049.
  39. Amunts, K.; Knoll, A. C.; Lippert, T.; Pennartz, C. M. A.; Ryvlin, P.; Destexhe, A.; Jirsa, V. K.; D'Angelo, E.; Bjaalie, J. G. (2019). "The Human Brain Project - synergy between neuroscience, computing, informatics, and brain-inspired technologies". PLOS Biology. 17 (7): e30000344. doi: 10.1371/journal.pbio.3000344 . PMC   6625714 . PMID   31260438.
  40. Deroy, O.; Fairhurst, M. (December 26, 2016). "Reviewed: Pennartz, C. M. A. The Brain's representational power: On consciousness and the integration of modalities". Perception. 46 (5): 638–639. doi:10.1177/0301006616684259. S2CID   220051993 . Retrieved August 19, 2021.