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User:Ovedc/Moshe Bar (neuroscientist)

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Moshe Bar is a neuroscientist, director of the Gonda Multidisciplinary Brain Research Center at Bar-Ilan University. He is the head of the Cognitive Neuroscience Laboratory at the Gonda Multidisciplinary Brain Research Center. Prof. Bar assumed the position of the Gonda Multidisciplinary Brain Research Center director following 17 years in the US, where he had served as an associate professor at Harvard University and Massachusetts General Hospital last, and had led the Cognitive Neuroscience Laboratory at the Athinoula A. Martinos Center for Biomedical Imaging.

Prof. Bar has made significant contributions to the field of cognition; ideas and findings that have challenged dominant paradigms in areas of exceptional diversity: from the flow of information in the cortex during visual recognition to the importance of mental simulations for planning and foresight in the brain, and from the effect of form on aesthetic preferences to a clinical theory on mood and depression. Bar uses methods from cognitive psychology, psychophysics, human brain imaging, computational neuroscience, and psychiatry to explore predictions and contextual processing in the brain, and their role in facilitating visual recognition.

Professional history

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Bar graduated from Ben-Gurion University in Israel in 1988 with a Bachelor of Science in Biomedical Engineering. After graduating from University, Bar spent the next six years as a member of Israeli Air Force, during which time he began his Masters work in Computer Science at the Weizmann Institute of Science. After completing his Masters education in 1994, he entered a PhD program in Cognitive Neuroscience at the University of Southern California, where he was awarded the Psychology department’s ‘Outstanding Doctoral Thesis' Award. His dissertation investigated priming effects elicited by subliminal visual stimuli. Bar subsequently completed a postdoctoral fellowship at Harvard University before receiving his appointments at Harvard Medical School and Massachusetts General Hospital. In 2011, he assumed directorship of the Gonda Multidisciplinary Brain Research Center at Bar-Ilan University.

Research and scientific contributions

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Using behavioral paradigms and neuroimaging technologies including functional magnetic resonance imaging (fMRI) and magnetoencephalography (MEG), Bar investigates how the brain extracts and uses contextual information to generate predictions and guide cognition efficiently. His work has concentrated on questions spanning: predictive systems in the brain, the flow of information in the cortex during visual recognition, the cortical processes that underlie conscious perception (i.e., visual awareness), contextual associative processing of scene information, the cortical mechanisms mediating the formation of first impressions, visual elements that determine human preference and understanding the cognitive mechanisms underlying mood disorders. His research has influenced a diverse spectrum of domains. A partial list is provided below.

Visual recognition

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Branching off of his solid graduate training (with Professors Ullman and Biederman), Prof. Bar has been using behavioral and neuroimaging (fMRI and MEG) methods to reveal critical aspects of how the brain recognizes objects, scenes and context in the world around us.  This research simultaneously challenged two long-held views.  First, together with others, he has argued and shown convincingly that the propagation of visual analysis in the cortex is not strictly “bottom-up,” as has been believed for decades, but rather that perception is a result of internally driven top-down processes as much as it is of incoming bottom-up sensory information.  As such, his work shows that memory and the prefrontal cortex are active players in visual perception. Since Prof. Bar first proposed this notion in a Journal of Cognitive Neuroscience article (2003),[1] and then in a Proceedings of the National Academy of Sciences paper (2006)[2] that has been exceptionally influential, it has become the mainstream view of how the brain processes visual information.  

A second debate and new domain of research that was steered by Prof. Bar’s ideas and studies involves the evasive distinction between spatial (e.g., locations, positions, navigation) and associative (i.e., what comes with what) processing.  Part of the seminal contribution of his research was to characterize the cortical network that mediates processing of contextual associations (e.g., the associations between all the objects that one typically expects to find in a kitchen), introduced broadly in a Nature Reviews Neuroscience (2004) paper.[3]  This newly discovered network included a site in the medial temporal cortex that has traditionally been considered as a site that mediates the representation and processing of spatial information.  His findings offer a challenging interpretation for those previous reports, suggesting that the role of this hippocampal region should more generally be described as mediating associative information rather than exclusively space-related information.

Predictions in brain

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Following his research on the role of associations in cognition, Prof. Bar has pioneered (together with a few other groups) a major new research wave indicating that the brain is a predictive and proactive organ.  His theoretical and empirical work has set in motion a collection of hypotheses and studies about how, where and why the brain uses the past (memory) to generate a future (predictions).  Having been one of the early leaders in this direction, Prof. Bar also integrated the various views on predictions in a special issue of the Proceedings of the Royal Society (2009),[4] and then expanded in a book by Oxford Press (2011),[5] as well as organized a couple of the kick-off symposia on the topic.  The work of Prof. Bar provides foundations with which to understand planning and decision-making in the human mind. This work was covered by international media extensively (https://faculty.biu.ac.il/~barlab/media.html), which is not surprising given how much of our time, and of our cortex, is dedicated to our inner mental world and its service to our actions, perceptions and interactions.

Mental simulations and the function of mindwandering

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Prof. Bar’s research also explains the intensity and usefulness of humans’ proclivity for mental simulations and mindwandering. As the philosopher Karl Popper famously said, we let our hypotheses die in our stead. The work of Prof. Bar supported and developed this assertion by showing that humans use their experience, as stored in memory, to simulate new, imagined, experiences. These simulations are stored as ‘memories’ and later can be used as predictive scripts that guide our cognition, decisions and action.  They have links to the brain’s ‘default network’.

Mood and depression

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Several years ago, Prof. Bar’s research evolved to include clinical questions, particularly pertaining to psychiatric disorders such as major depression, and this work made a rapid impact.  He started with a theoretical paper (Trends in Cognitive Sciences, 2009)[6] that presented a novel synthesis of findings from psychiatry, neuroscience and cognitive psychology, which gave rise to an overarching hypothesis linking mood with thinking patterns and associative processing.  The crux of his groundbreaking hypothesis is that a thinking pattern that involves a broad associative scope elicits positive mood, while a ruminative thinking pattern and inhibition trigger negative mood. Through extensive and fruitful collaborations first with the outstanding department of psychiatry at the Harvard medical school and the Massachusetts General Hospital, and since his return with multiple psychiatric institutions in Israel, this theory has been tested, supported and polished to a point where it is now being implemented in a therapeutic tool soon to become available to all.[7]  The theory connects the semantic scope of mental processes to neurogenesis in the hippocampus (which is admittedly a big leap but with promise), the regulation of inhibition from the prefrontal cortex, and mood. The behavioral and neuroimaging publications that stemmed from these ideas already attracted exceptional levels of attention with their global explanatory power and their potential for therapeutic alleviation of symptoms.  Prof. Bar’s approach, now being employed in healthy and clinical populations, is to train participants with broad associative thinking in a way that will restore their deficient medial-frontal cortical network and critically diminish ruminative thinking.  Rumination is a hallmark of not only major depression but also of other debilitating disorders such as addiction, OCD, PTSD, eating disorders, and more. Therefore, this approach, which already shows significant positive outcomes in pilot participants with major depression, has the potential of helping multiple clinical populations. 

Aesthetic preference

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Through collaborations with artists, architects and public health professionals, Prof. Bar’s influence is also visible in less expected domains. His research on the design of streets, for example, has led to criteria for streetscapes that promote increased physical activity. Prof. Bar’s work on the effect of contour (e.g., smooth vs. sharp) on subjective preference and emotion,[8] in particular, has had an influence on designers, advertisers and architects alike (from the famous architect Frank Gehry to the magazine Cosmopolitan). His collaboration with the school of architecture at the Technion, which started at and still includes also Harvard’s school of design (GSD), examines the influence of different spaces on affect and on human functionality. And in collaborations that include the HIT (Holon Institute of Technology) and independent architects he now examines the optimization of space-shape to function (e.g., waiting room in hospitals, schools, playgrounds), as well as what are the visual design elements that best stimulate curiosity.

Hedonia FTP

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Depression, anxiety, and even stress are associated with a thought pattern that is ruminative and over-inhibited. Persistent ruminations not only dampen mood but over time result in structural changes to critical brain areas such as the hippocampus and the prefrontal cortex. Apart from rumination, people coping with depression have been shown an inability to “see the forest before the trees”- they show a local thought pattern and lack the ability for a global one. At the same time, people who are not coping with depression exhibit a fast, global, creative, and dynamic cognitive thought process. They can think far, wide, fast, and creatively, and they can jump from one topic to another quickly, something people coping with depression find hard to do.[9][10]

Considering mood disorders are also accompanied by a thought disorder, an alternative therapeutic approach would be targeting the thinking pattern. Research in the laboratory of professor Moshe Bar at Harvard University and the Massachusetts General Hospital (MGH), over almost two decades, established that facilitating the progression of thought to be broader, further, and faster reduces rumination and significantly improves mood.[11][12][13][14][15]. In 2021, he had termed the process of facilitating thought progression as “FTP”. FTP trains the brain's cognitive thought process to expand, accelerate, and be more creative. Based on previous research, this could induce a top-down neurotransmitter regulation and long-term plasticity while improving mood.[16][17][18][19]

Hedonia

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Prof. Bar is the CSO of Hedonia, a company that has developed a mobile phone application that is designed as a game, which consists of a collection of modules, or Therapeutic Games (TGs), that are designed to facilitate thought progression through multiple, parallel mechanisms. Each TG is based on a different evidence-based FTP pathway:

  1. Broad associative thinking
  2. Global thinking
  3. Creative thinking
  4. Fast thinking
  5. Reducing inhibition

Representative publications

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  • Baror S., Bar M. (2016). Associative Activation and Its Relation to Exploration and Exploitation in the Brain. Psychological Science, epub ahead of print
  • Axelrod V., Rees G., Lavidor M., Bar M. (2015). Increasing propensity to mind-wander with transcranial direct current stimulation. Proceedings of the National Academy of Sciences, 112(11):3314-9.
  • Aminoff, E.M., Kveraga, K., and Bar, M. (2013). The role of parahippocampal cortex in cognition. Trends in Cognitive Science, 17(8):379-90.
  • Bar, M. (Ed.) (2011). Predictions in the Brain: Using Our Past to Generate a Future. Oxford: Oxford University Press.
  • Bar, M. (2009). A cognitive neuroscience hypothesis of mood and depression. Trends in Cognitive Sciences, 13(11), 456-463.
  • Kveraga, K., Boshyan, J. and Bar, M. (2007). Magnocellular projections as the trigger of top-down facilitation in recognition. Journal of Neuroscience, 27, 13232-13240.
  • Bar, M. (2007). The Proactive Brain: Using analogies and associations to generate predictions. Trends in Cognitive Sciences, 11(7), 280-289.
  • Bar, M., Kassam, K., Ghuman, A., Boshyan, J., Dale, A., Hämäläinen, M., Marinkovic, K., Schacter, D.L., Rosen, B., and Halgren, E. (2006). Top-down facilitation of visual recognition. Proceedings of the National Academy of Sciences, 103(2), 449-54.
  • Bar, M. (2004). Visual objects in context. Nature Reviews: Neuroscience, 5, 617-629.
  • Bar, M. (2003). A cortical mechanism for triggering top-down facilitation in visual object recognition. Journal of Cognitive Neuroscience, 15, 600-609.
  • Bar, M. and Aminoff, E. (2003). Cortical analysis of visual context. Neuron, 38, 347-358.

Books and book chapters (selected)

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  • Kveraga, K. and Bar, M., (Eds.) (2014). SCENE VISION Making Sense of What We See. Cambridge, Mass.: The MIT Press.
  • Bar, M. and Bubic, A. (2013). Top-down Effects in Visual Perception. In Ochsner K. and Kosslyn S., (Eds) The Oxford Handbook of Cognitive Neuroscience (pp. 60–73). The Oxford Handbook Series, Oxford University Press.
  • Bar, M., (Ed.) (2011). Predictions in the Brain. New York: Oxford University Press Inc.
  • Bar, M. (2011). Predictions: A universal principle in the operation of the human brain (Introduction). In Bar, M., (Ed.) Predictions in the Brain. (pp. v-vii). New York: Oxford University Press Inc.
  • Bar, M. (2011). The proactive brain. In Bar, M., (Ed.) Predictions in the Brain. (pp. 13–26). New York: Oxford University Press Inc.
  • Barrett, L.F., and Bar, M. (2011). See it with feeling: Affective predictions during object perception. In Bar, M., (Ed.) Predictions in the Brain. (pp. 107–121). New York: Oxford University Press Inc.
  • Bar, M. (2005). Top-down facilitation of visual object recognition. In Itti, L., Rees, G., Tsotsos, J., (Eds.) Neurobiology of Attention (pp. 140–5). Burlington, MA: Elsevier Academic Press.
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References

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  1. ^ Bar, Moshe (2003-05-15). "A cortical mechanism for triggering top-down facilitation in visual object recognition". Journal of Cognitive Neuroscience. 15 (4): 600–609. CiteSeerX 10.1.1.296.3039. doi:10.1162/089892903321662976. ISSN 0898-929X. PMID 12803970. S2CID 18209748.
  2. ^ Bar, M.; Kassam, K. S.; Ghuman, A. S.; Boshyan, J.; Schmid, A. M.; Schmidt, A. M.; Dale, A. M.; Hämäläinen, M. S.; Marinkovic, K. (2006-01-10). "Top-down facilitation of visual recognition". Proceedings of the National Academy of Sciences of the United States of America. 103 (2): 449–454. doi:10.1073/pnas.0507062103. ISSN 0027-8424. PMC 1326160. PMID 16407167.
  3. ^ Bar, Moshe (August 2004). "Visual objects in context". Nature Reviews Neuroscience. 5 (8): 617–629. doi:10.1038/nrn1476. ISSN 1471-003X. PMID 15263892. S2CID 205499985.
  4. ^ Bar, Moshe (2009-05-12). "Predictions: a universal principle in the operation of the human brain". Philosophical Transactions of the Royal Society of London B: Biological Sciences. 364 (1521): 1181–1182. doi:10.1098/rstb.2008.0321. ISSN 0962-8436. PMC 2666718. PMID 19527998.
  5. ^ Bar, Moshe, ed. (2011-06-09). Predictions in the Brain: Using Our Past to Generate a Future. Oxford, New York: Oxford University Press. ISBN 9780195395518.
  6. ^ Bar, Moshe (November 2009). "A cognitive neuroscience hypothesis of mood and depression". Trends in Cognitive Sciences. 13 (11): 456–463. doi:10.1016/j.tics.2009.08.009. ISSN 1879-307X. PMC 2767460. PMID 19819753.
  7. ^ Mason, Malia F.; Bar, Moshe (May 2012). "The effect of mental progression on mood". Journal of Experimental Psychology. General. 141 (2): 217–221. doi:10.1037/a0025035. ISSN 1939-2222. PMC 3787596. PMID 21823806.
  8. ^ Leder, Helmut; Tinio, Pablo P. L.; Bar, Moshe (2011). "Emotional valence modulates the preference for curved objects". Perception. 40 (6): 649–655. doi:10.1068/p6845. ISSN 0301-0066. PMID 21936294. S2CID 36634595.
  9. ^ Fredrickson, BL (March 2001). "The role of positive emotions in positive psychology. The broaden-and-build theory of positive emotions". The American psychologist. 56 (3): 218–26. doi:10.1037//0003-066x.56.3.218. PMID 11315248.
  10. ^ Gasper, K; Clore, GL (January 2002). "Attending to the big picture: mood and global versus local processing of visual information". Psychological science. 13 (1): 34–40. doi:10.1111/1467-9280.00406. PMID 11892776.
  11. ^ Baror, S; Bar, M (June 2016). "Associative Activation and Its Relation to Exploration and Exploitation in the Brain". Psychological science. 27 (6): 776–89. doi:10.1177/0956797616634487. PMID 27122295.
  12. ^ Harel, EV; Tennyson, RL; Fava, M; Bar, M (December 2016). "Linking major depression and the neural substrates of associative processing". Cognitive, affective & behavioral neuroscience. 16 (6): 1017–1026. doi:10.3758/s13415-016-0449-9. PMID 27553369.
  13. ^ Herz, N; Baror, S; Bar, M (March 2020). "Overarching States of Mind". Trends in cognitive sciences. 24 (3): 184–199. doi:10.1016/j.tics.2019.12.015. PMID 32059121.
  14. ^ Mason, MF; Bar, M (May 2012). "The effect of mental progression on mood". Journal of experimental psychology. General. 141 (2): 217–21. doi:10.1037/a0025035. PMID 21823806.
  15. ^ Thomas, C; Kveraga, K; Huberle, E; Karnath, HO; Bar, M (May 2012). "Enabling global processing in simultanagnosia by psychophysical biasing of visual pathways". Brain : a journal of neurology. 135 (Pt 5): 1578–85. doi:10.1093/brain/aws066. PMID 22418740.
  16. ^ Bar, M (November 2009). "A cognitive neuroscience hypothesis of mood and depression". Trends in cognitive sciences. 13 (11): 456–63. doi:10.1016/j.tics.2009.08.009. PMID 19819753.
  17. ^ Aston-Jones, G; Rajkowski, J; Cohen, J (1 November 1999). "Role of locus coeruleus in attention and behavioral flexibility". Biological psychiatry. 46 (9): 1309–20. doi:10.1016/s0006-3223(99)00140-7. PMID 10560036.
  18. ^ Berridge, CW; Waterhouse, BD (April 2003). "The locus coeruleus-noradrenergic system: modulation of behavioral state and state-dependent cognitive processes". Brain research. Brain research reviews. 42 (1): 33–84. doi:10.1016/s0165-0173(03)00143-7. PMID 12668290.
  19. ^ Campbell, HL; Tivarus, ME; Hillier, A; Beversdorf, DQ (January 2008). "Increased task difficulty results in greater impact of noradrenergic modulation of cognitive flexibility". Pharmacology, biochemistry, and behavior. 88 (3): 222–9. doi:10.1016/j.pbb.2007.08.003. PMID 17884154.
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