Cognition & Consciousness

Resources

Adams, F. (2018). Cognition wars. Studies in History and Philosophy of Science Part A, 68, 20-30. https://doi.org/10.1016/j.shpsa.2017.11.007

Al Dahhan, N. Z., Kirby, J. R., Chen, Y., Brien, D. C., & Munoz, D. P. (2020). Examining the neural and cognitive processes that underlie reading through naming speed tasks. European Journal of Neuroscience, 51(11), 2277-2298.  https://publons.com/publon/10.1111/ejn.14673

Anderson, N. H. (2014). Contributions to information integration theory: Volume 1: Cognition. Psychology Press. https://books.google.com.ec/books?hl=en&lr=&id=wM17AgAAQBAJ&oi=fnd&pg=PP1&dq=cognition+theory&ots=ZIvx6joK0Y&sig=X9J9yT_mHia2u9b0TXj1xEbx9CI&redir_esc=y#v=onepage&q=cognition%20theory&f=false

Anderson, N. H. (2014). A functional theory of cognition. Psychology Press. https://books.google.com.ec/books?hl=en&lr=&id=e2QAAwAAQBAJ&oi=fnd&pg=PP1&dq=cognition+theory&ots=65YjmFOa2E&sig=U2MErR0ekCSOj-qzTb932roUzco&redir_esc=y#v=onepage&q=cognition%20theory&f=false

Aretouli, E., & Brandt, J. (2010). Everyday functioning in mild cognitive impairment and its relationship with executive cognition.  International Journal of Geriatric Psychiatry, 25(3), 224-233. doi: 10.1002/gps.2325

Badcock, P. B., Friston, K. J., Ramstead, M. J., Ploeger, A., & Hohwy, J. (2019). The hierarchically mechanistic mind: An evolutionary systems theory of the human brain, cognition, and behavior. Cognitive, Affective, & Behavioral Neuroscience, 19(6), 1319-1351. https://doi.org/10.3758/s13415-019-00721-3

Bansal, K., Garcia, J. O., Tompson, S. H., Verstynen, T., Vettel, J. M., & Muldoon, S. F. (2019). Cognitive chimera states in human brain networks. Science Advances, 5(4), eaau8535. DOI: 10.1126/sciadv.aau8535

Barker, M. S., Nelson, N. L., & Robinson, G. A. (2020). Idea formulation for spoken language production: the interface of cognition and language. Journal of the International Neuropsychological Society, 26(2), 226-240. doi:10.1017/S1355617719001097

Bechtel, W., & Bich, L. (2021). Grounding cognition: heterarchical control mechanisms in biology. Philosophical Transactions of the Royal Society B, 376(1820), 20190751. https://doi.org/10.1098/rstb.2019.0751

Bender, A. (2020). The role of culture and evolution for human cognition. Topics in Cognitive Science, 12(4), 1403-1420. http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1756-8765/earlyview

Benedek, M., & Fink, A. (2019). Toward a neurocognitive framework of creative cognition: The role of memory, attention, and cognitive control. Current Opinion in Behavioral Sciences, 27, 116-122. https://doi.org/10.1016/j.cobeha.2018.11.002

Berry, J. W., & Dasen, P. R. (Eds.). (2019). Culture and cognition: Readings in cross-cultural psychology.  Routledge. https://books.google.com.ec/books?hl=en&lr=&id=sNmMDwAAQBAJ&oi=fnd&pg=PP1&dq=cognition&ots=gXFm9zTbzH&sig=spuMl6iDZgH-mcSNTSMSKYoYsug&redir_esc=y#v=onepage&q=cognition&f=false

Burgaleta, M., Johnson, W., Waber, D. P., Colom, R., & Karama, S. (2014). Cognitive ability changes and dynamics of cortical thickness development in healthy children and adolescents. NeuroImage, 84, 810-819. doi: 10.1016/j.neuroimage.2013.09.038

Caramazza, A., Anzellotti, S., Strnad, L., & Lingnau, A. (2014). Embodied cognition and mirror neurons: a critical assessment. Annual Review of Neuroscience, 37, 1-15. doi: 10.1146/annurev-neuro-071013-013950

Chobe, S., Chobe, M., Metri, K., Patra, S. K., & Nagaratna, R. (2020). Impact of Yoga on cognition and mental health among elderly: A systematic review. Complementary Therapies in Medicine, 102421.https://doi.org/10.1016/j.ctim.2020.102421

Chomsky, N. (2012). Noam Chomsky: Language and other cognitive processes. [video] (1:14:32). Chestnut Hill, MA: WGBHForum, Boston College. https://www.youtube.com/watch?v=6i_W6Afed2k

Cole, M., & Packer, M. (2019). Culture and cognition. Cross‐cultural psychology: Contemporary themes and perspectives, (pp. 243-270). https://doi.org/10.1002/9781119519348.ch11

Cona, G., Koçillari, L., Palombit, A., Bertoldo, A., Maritan, A., & Corbetta, M. (2019). Archetypes of human cognition defined by time preference for reward and their brain correlates: an evolutionary trade-off approach. Neuroimage, 185, 322-334. https://doi.org/10.1016/j.neuroimage.2018.10.050

Cowdrey, F. A., Lomax, C., Gregory, J. D., & Barnard, P. J. (2017). Could a unified theory of cognition and emotion further the transdiagnostic perspective? A critical analysis using Interacting Cognitive Subsystems as a case example. Psychopathology Review, 4(3), 377-399. DOI:10.5127/pr.044714

Cowley, S. J., Vallée-Tourangeau, F., & Vallée-Tourangeau, F. (2017). Cognition beyond the brain. Springer International Publishing. https://web.natur.cuni.cz/filosof/markos/Publikace/Cognition%20beyond%20the%20brain.pdf

Ellis, N. C. (2019). Essentials of a theory of language cognition. The Modern Language Journal, 103, 39-60. DOI: 10.1111/modl.12532

Eschlböck, S., Delazer, M., Krismer, F., Bodner, T., Fanciulli, A., Heim, B., ... & Wenning, G. K. (2020). Cognition in multiple system atrophy: a single‐center cohort study. Annals of Clinical and Translational Neurology, 7(2), 219-228. https://doi.org/10.1002/acn3.50987

Eysenck, M. (2014). Anxiety and cognition: A unified theory. Psychology Press. https://books.google.com.ec/books?hl=en&lr=&id=Q6mmAgAAQBAJ&oi=fnd&pg=PP1&dq=cognition+theory&ots=a5pb6bWT78&sig=IzHDnTQaqJTeWrR_-tuBi3h79d4&redir_esc=y#v=onepage&q=cognition%20theory&f=false

Fang, C., Lv, L., Mao, S., Dong, H., & Liu, B. (2020). Cognition deficits in Parkinson’s disease: Mechanisms and treatment. Parkinson’s Disease, 2020. https://doi.org/10.1155/2020/2076942

Farias, S. T., Mungas, D., Harvey, D. J., Simmons, A., Reed, B. R., & DeCarli, C. (2011). The measurement of everyday cognition: Development and validation of a short form of the Everyday Cognition scales. Alzheimer's & Dementia, 7(6), 593-601. doi: 10.1016/j.jalz.2011.02.007

Farias, S. T., Park, L. Q., Harvey, D. J., Simon, C., Reed, B. R., Carmichael, O., & Mungas, D. (2013). Everyday cognition in older adults: Associations with neuropsychological performance and structural brain imaging.  Journal of the International Neuropsychological Society, 19(4), 430-441. doi: 10.1017/S1355617712001609

Felix, S. W. (2019). Cognition and language growth (Vol. 3). Walter de Gruyter GmbH & Co KG. https://books.google.com.ec/books?hl=en&lr=&id=gFG9DwAAQBAJ&oi=fnd&pg=PP5&dq=cognition&ots=cub5c0oeEm&sig=Jz9evZi2soVDkMPrifdFuchcZko&redir_esc=y#v=onepage&q=cognition&f=false

Fischer, K. W. (2008). Dynamic cycles of cognitive and brain development: Measuring growth in mind, brain, and education. In A.M. Battro, K.W. Fischer & P. J. Léna, (Eds.). (2010). The educated brain: Essays in neuroeducation (pp.127-150). Cambridge, UK: Cambridge University Press. http://assets.cambridge.org/97805218/76735/frontmatter/9780521876735_frontmatter.pdf

Fischer, K. W., & Granott, N. (1995). Beyond one-dimensional change: Parallel, concurrent, socially distributed processes in learning and development. Human Development, 38(6), 302-314. https://doi.org/10.1159/000278336

Fischer, K. W., & Rose, S. P. (1998). Growth cycles of brain and mind. Educational Leadership, 56, 56-60.

Fox, M. D., Snyder, A. Z., Zacks, J. M., & Raichle, M. E. (2006). Coherent spontaneous activity accounts for trial-to-trial variability in human evoked brain responses.  Nature Neuroscience, 9(1), 23-25. http://cfans.org/downloads/Educational%20Leadership.pdf

Franklin, N. T., Norman, K. A., Ranganath, C., Zacks, J. M., & Gershman, S. J. (2020). Structured event memory: A neuro-symbolic model of event cognition. Psychological Review, 127(3), 327. https://doi.org/10.1037/rev0000177

Frith, E., Elbich, D. B., Christensen, A. P., Rosenberg, M. D., Chen, Q., Kane, M. J., ... & Beaty, R. E. (2020). Intelligence and creativity share a common cognitive and neural basis. Journal of Experimental Psychology: General. https://doi.org/10.1037/xge0000958

Gamache, T. R., Araki, Y., & Huganir, R. L. (2020). Twenty years of SynGAP research: from synapses to cognition. Journal of Neuroscience, 40(8), 1596-1605. DOI: https://doi.org/10.1523/JNEUROSCI.0420-19.2020

Gamaldo, A. A., & Allaire, J. C. (2016). Daily fluctuations in everyday cognition: Is it meaningful?.  Journal of Aging and Health, 28(5), 834-849. https://doi.org/10.1177/0898264315611669

Gnanadesikan, G. E., Hare, B., Snyder-Mackler, N., Call, J., Kaminski, J., Miklósi, Á., & MacLean, E. L. (2020). Breed differences in dog cognition associated with brain-expressed genes and neurological functions. Integrative and Comparative Biology, 60(4), 976-990. https://doi.org/10.1093/icb/icaa112

Grand, J. A., Braun, M. T., Kuljanin, G., Kozlowski, S. W., & Chao, G. T. (2016). The dynamics of team cognition: A process-oriented theory of knowledge emergence in teams . Journal of Applied Psychology, 101(10), 1353. DOI:10.1037/APL0000136

Gupta, D. S., Banerjee, A., Roy, D., & Piras, F. (2020). Temporal structure of neural processes coupling sensory, motor and cognitive functions of the brain. Frontiers in Computational Neuroscience, 14. doi: 10.3389/fncom.2020.00073

Heersmink, R., & Sutton, J. (2020). Cognition and the Web: Extended, transactive, or scaffolded?. Erkenntnis, 85(1), 139-164. https://doi.org/10.1007/s10670-018-0022-8(0123456789().,-volV)(0123456789().,-volV)

Hernandez, A. E., Claussenius-Kalman, H. L., Ronderos, J., Castilla-Earls, A. P., Sun, L., Weiss, S. D., & Young, D. R. (2019). Neuroemergentism: A framework for studying cognition and the brain. Journal of Neurolinguistics, 49, 214-223. https://doi.org/10.1016/j.jneuroling.2017.12.010

Hofstadter, D. (2009). Analogy as the core of cognition. [video] (1:08:36). Stanford, CA: Stanford University. https://www.youtube.com/watch?v=n8m7lFQ3njk

Jha, A., Teotonio, R., Smith, A. L., Bomanji, J., Dickson, J., Diehl, B., ... & Nachev, P. (2020). Metabolic lesion-deficit mapping of human cognition. Brain, 143(3), 877-890. https://doi.org/10.1093/brain/awaa032

Johnson, E., Kam, J., Tzovara, A., & Knight, R. T. (2020). Insights into human cognition from intracranial EEG: A review of audition, memory, internal cognition, and causality. Journal of Neural Engineering. https://doi.org/10.1088/1741-2552/abb7a5

Kalbfleisch ML, Debettencourt MT, Kopperman R, Banasiak M, Roberts JM, Halavi M. (2013 Sep 26). Environmental influences on neural systems of relational complexity. Frontiers in Psychology, 4, 631. doi: 10.3389/fpsyg.2013.00631

Kannengiesser, U., & Gero, J. S. (2019). Design thinking, fast and slow: A framework for Kahneman’s dual-system theory in design. Design Science, 5. DOI: 10.1017/dsj.2019.9

Koen, J. D., Srokova, S., & Rugg, M. D. (2020). Age-related neural dedifferentiation and cognition. Current Opinion in Behavioral Sciences, 32, 7-14. https://doi.org/10.1016/j.cobeha.2020.01.006

Koziol, L. F., Budding, D. E., & Chidekel, D. (2012). From movement to thought: executive function, embodied cognition, and the cerebellum. Cerebellum, 11(2), 505-525. DOI 10.1007/s12311-011-0321-y

Lakoff, G. (2013). Embodied cognition and language. [video]. (1:28:38). Central European University Lecture: Cascade Theory: Embodied Cognition and Language from a Neural Perspective. Available at https://www.youtube.com/watch?v=XWYaoAoijdQ

Lakoff, G. (2015). How brains think: The embodiment hypothesis. [video]. (1:32:05).International Convention of Psychological Science in Amsterdam. https://www.youtube.com/watch?v=WuUnMCq-ARQ

Lee, M. D. (2019). A simple and flexible Bayesian method for inferring step changes in cognition.  Behavior Research Methods, 51(2), 948-960. https://doi.org/10.3758/s13428-018-1087-7

Leibovich, T., & Ansari, D. (2016). The symbol-grounding problem in numerical cognition: A review of theory, evidence, and outstanding questions. Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale, 70(1), 12. DOI: 10.1037/cep0000070

Lemaignan, S., Warnier, M., Sisbot, E. A., Clodic, A., & Alami, R. (2017). Artificial cognition for social human–robot interaction: An implementation. Artificial Intelligence, 247, 45-69. https://doi.org/10.1016/j.artint.2016.07.002

Lieder, F., & Griffiths, T. L. (2020). Resource-rational analysis: understanding human cognition as the optimal use of limited computational resources. Behavioral and Brain Sciences, 43. doi:10.1017/S0140525X1900061X

Logie, R. (2018). Human cognition: Common principles and individual variation.  Journal of Applied Research in Memory and Cognition, 7(4), 471-486. https://doi.org/10.1016/j.jarmac.2018.08.001

Loh, K. K., & Kanai, R. (2016). How has the Internet reshaped human cognition?. The Neuroscientist, 22(5), 506-520. DOI: 10.1177/1073858415595005

Ludyga, S., Gerber, M., Pühse, U., Looser, V. N., & Kamijo, K. (2020). Systematic review and meta-analysis investigating moderators of long-term effects of exercise on cognition in healthy individuals. Nature Human Behaviour, 4(6), 603-612. https://doi.org/10.1038/s41562-020-0851-8

Lyon, P., Keijzer, F., Arendt, D., & Levin, M. (2021). Reframing cognition: getting down to biological basics. https://doi.org/10.1098/rstb.2019.0750

Mahon, B. Z., & Caramazza, A. (2008). A critical look at the embodied cognition hypothesis and a new proposal for grounding conceptual content. Journal of Physiology-Paris, 102(1), 59-70. https://doi.org/10.1016/j.jphysparis.2008.03.004

Mareschal, D., Johnson, M., Sirios, S., Spratling, M., Thomas, M. S. C., & Westermann, G. (2007). Neuroconstructivism: How the brain constructs cognition. Oxford, UK: Oxford University Press. https://books.google.com.ec/books?hl=en&lr=&id=rCsTDAAAQBAJ&oi=fnd&pg=PR7&dq=Mareschal,+D.,+Johnson,+M.,+Sirios,+S.,+Spratling,+M.,+Thomas,+M.+S.+C.,+%26+Westermann,+G.+(2007).+Neuroconstructivism:+How+the+brain+constructs+cognition+(Links+to+an+external+site.)Links+to+an+external+site..++(Links+to+an+external+site.)Links+to+an+exter&ots=80cggaCmXi&sig=GP8XyyK-Qv0xMf63DLw0cE3giPI#v=onepage&q&f=false

Martín-Signes, M., Paz-Alonso, P. M., & Chica, A. B. (2019). Connectivity of frontoparietal regions reveals executive attention and consciousness interactions. Cerebral Cortex, 29(11), 4539-4550. https://doi.org/10.1093/cercor/bhy332

Mayer, R. E. (2010). Problem solving and reasoning. In E. Baker, P. Peterson, & B. McGaw (Eds.), International encyclopedia of education (3rd ed) (pp. 273-278). Oxford, UK: Elsevier. https://books.google.com.ec/books?hl=en&lr=&id=j-loT41ln34C&oi=fnd&pg=PA112&dq=%22Problem+solving+and+reasoning%22&ots=URMk7UGujM&sig=MMggLRwMzY37nl0F2riVaH-Dko4#v=onepage&q=%22Problem%20solving%20and%20reasoning%22&f=false

MacLean, E. L. (2016). Unraveling the evolution of uniquely human cognition. Proceedings of the National Academy of Sciences, 113(23), 6348-6354. https://doi.org/10.1073/pnas.1521270113

Mill, R. D., Ito, T., & Cole, M. W. (2017). From connectome to cognition: the search for mechanism in human functional brain networks. NeuroImage, 160, 124-139. ttps://doi.org/10.1016/j.neuroimage.2017.01.060

Miller, M. B. Donovan, C., Bennett, C. M., Aminoff, E. M., & Mayer, R. E. (2012). Individual differences in cognitive style and strategy predict similarities in patterns of brain activity between individuals.  NeuroImage, 59, 83-89. https://doi.org/10.1016/j.neuroimage.2011.05.060

Moodie, C. A., Suri, G., Goerlitz, D. S., Mateen, M. A., Sheppes, G., McRae, K., ... & Gross, J. J. (2020). The neural bases of cognitive emotion regulation: The roles of strategy and intensity. Cognitive, Affective, & Behavioral Neuroscience, 1-21. https://doi.org/10.3758/s13415-020-00775-8

Mascolo, M. F., & Fischer, K. W. (2010). The dynamic development of thinking, feeling, and acting over the life span. The handbook of life‐span development, part I. cognition, biology, and methodshttps://doi.org/10.1002/9780470880166.hlsd001006

Pavlova, M. A., & Krägeloh-Mann, I. (2013). Limitations on the developing preterm brain: impact of periventricular white matter lesions on brain connectivity and cognition. Brain, 136(4), 998-1011. https://doi.org/10.1093/brain/aws334

Park, J., & Brannon, E. M. (2016). How to interpret cognitive training studies: A reply to Lindskog & Winman.  Cognition, 150, 247–251. https://doi.org/10.1016/j.cognition.2016.02.012

Perchtold-Stefan, C. M., Papousek, I., Rominger, C., Schertler, M., Weiss, E. M., & Fink, A. (2020). Humor comprehension and creative cognition: Shared and distinct neurocognitive mechanisms as indicated by EEG alpha activity. NeuroImage, 116695. https://doi.org/10.1016/j.neuroimage.2020.116695

Pessoa, L. (2022). Emergent processes in cognitive-emotional interactions. Dialogues in Clinical Neuroscience, 12(4), 433–448. https://doi.org/10.31887/DCNS.2010.12.4/lpessoa

Phillips, I., & Morales, J. (2020). The fundamental problem with no-cognition paradigms.  Trends in Cognitive Sciences, 24(3), 165-167. DOI:https://doi.org/10.1016/j.tics.2019.11.010

Pinker, S. (2011). The cognitive revolution. [video] (1:53 minutes). Harvard University. https://www.youtube.com/watch?v=AeoyzqmyWug&feature=youtu.be&ab_channel=HarvardUniversity  

Pizoli, C. E., Shah, M. N., Snyder, A. Z., Shimony, J. S., Limbrick, D. D., Raichle, M. E., ... & Smyth, M. D. (2011). Resting-state activity in development and maintenance of normal brain function. Proceedings of the National Academy of Sciences, 108(28), 11638-11643. https://doi.org/10.1073/pnas.1109144108

Posner, M. I., DiGirolamo, G. J., & Fernandez-Duque, D. (1997). Brain mechanisms of cognitive skills. Consciousness and Cognition, 6(2-3), 267-290. https://doi.org/10.1006/ccog.1997.0301

Parise, A. G., Gagliano, M., & Souza, G. M. (2020). Extended cognition in plants: is it possible?. Plant Signaling & Behavior, 15(2), 1710661. https://doi.org/10.1080/15592324.2019.1710661

Radvansky, G. A., & Zacks, J. M. (2017). Event boundaries in memory and cognition. Current Opinion in Behavioral Sciences, 17, 133-140. DOI: 10.1016/j.cobeha.2017.08.006

Rodriguez, R. L., Albeck, J. G., Taha, A. Y., Ori-McKenney, K. M., Recanzone, G. H., Stradleigh, T. W., ... & Cruz-Orengo, L. (2017). Impact of diet-derived signaling molecules on human cognition: exploring the food–brain axis. npj Science of Food, 1(1), 2. https://doi.org/10.1038/s41538-017-0002-4

Rubin, T. N., Koyejo, O., Gorgolewski, K. J., Jones, M. N., Poldrack, R. A., & Yarkoni, T. (2017). Decoding brain activity using a large-scale probabilistic functional-anatomical atlas of human cognition . PLoS Computational Biology, 13(10), e1005649. https://doi.org/10.1371/journal.pcbi.1005649

Santello, M., Toni, N., & Volterra, A. (2019). Astrocyte function from information processing to cognition and cognitive impairment. Nature Neuroscience, 22(2), 154-166. https://doi.org/10.1038/s41593-018-0325-8

Schmahmann, J. D. (2019). The cerebellum and cognition. Neuroscience Letters, 688, 62-75. https://doi.org/10.1016/j.neulet.2018.07.005

Schmahmann, J. D., Guell, X., Stoodley, C. J., & Halko, M. A. (2019). The theory and neuroscience of cerebellar cognition. Annual Review of Neuroscience, 42, 337-364. https://doi.org/10.1146/annurev-neuro-070918-050258

Shapiro, L. (2019). Embodied cognition. Routledge. https://books.google.com.ec/books?hl=en&lr=&id=ycaWDwAAQBAJ&oi=fnd&pg=PT12&dq=cognition&ots=pUSD-zYrJ5&sig=UK-cW8v_Osb7UGEfCljTkAw3VMM&redir_esc=y#v=onepage&q=cognition&f=false

Shapiro, L. (2014). The Routledge handbook of embodied cognition. Abingdon, UK: Routledge. http://perso.ens-lyon.fr/jacques.jayez/Cours/Implicite/Handbook_of_Embodied_Cognition.pdf

Sherman, B. E., Graves, K. N., & Turk-Browne, N. B. (2020). The prevalence and importance of statistical learning in human cognition and behavior. Current Opinion in Behavioral Sciences, 32, 15-20. https://doi.org/10.1016/j.cobeha.2020.01.015

Shine, J. M., Breakspear, M., Bell, P. T., Martens, K. A. E., Shine, R., Koyejo, O., ... & Poldrack, R. A. (2019). Human cognition involves the dynamic integration of neural activity and neuromodulatory systems . Nature Neuroscience, 22(2), 289-296. https://doi.org/10.1038/s41593-018-0312-0

Smith, E. A. (2017). Three styles in the evolutionary analysis of human behavior. In Adaptation and human behavior (pp. 27-46). Routledge. https://books.google.com/books?hl=en&lr=&id=kFAPEAAAQBAJ&oi=fnd&pg=PA27&dq=Smith,+E.+A.+(2017).+Three+styles+in+the+evolutionary+analysis+of+human+behavior.+In+Adaptation+and+human+behavior+(pp.+27-46).+Routledge&ots=6x2ezfzpEV&sig=bER6mPR-G2DZLRv-i8_9uwxBj5Y#v=onepage&q=Smith%2C%20E.%20A.%20(2017).%20Three%20styles%20in%20the%20evolutionary%20analysis%20of%20human%20behavior.%20In%20Adaptation%20and%20human%20behavior%20(pp.%2027-46).%20Routledge&f=false

Smith, L., & Gasser, M. (2005). The development of embodied cognition: Six lessons from babies. Artificial Life, 11(1-2), 13-29. https://doi.org/10.1162/1064546053278973

Snowball, A., Tachtsidis, I., Popescu, T., Thompson, J., Delazer, M., Zamarian, L., ... & Kadosh, R. C. (2013). Long-term enhancement of brain function and cognition using cognitive training and brain stimulation.  Current Biology, 23(11), 987-992. https://doi.org/10.1016/j.cub.2013.04.045

Snyder, A. Z., & Raichle, M. E. (2012). A brief history of the resting state: the Washington University perspective. Neuroimage, 62(2), 902-910. doi: 10.1016/j.neuroimage.2012.01.044

Stewart, A., & Harburger, L. L. (2021). The effects of major depressive disorder on cognition and the brain. Modern Psychological Studies, 26(1), 5. http://creativecommons.org/licenses/by-nc-nd/4.0/

Tang, Y. Y., & Posner, M. I. (2014). Training brain networks and states. Trends in Cognitive Sciences, 18(7), 345-350. https://doi.org/10.1016/j.tics.2014.04.002

Tauber, S., Navarro, D. J., Perfors, A., & Steyvers, M. (2017). Bayesian models of cognition revisited: Setting optimality aside and letting data drive psychological theory. Psychological Review, 124(4), 410. https://doi.org/10.1037/rev0000052

Thomas, M. S. C., Forrester, N. A., & Ronald, A. (2016). Multi-scale modeling of gene-behavior associations in an artificial neural network model of cognitive development. Cognitive Science, 40(1), 51-99. https://doi.org/10.1111/cogs.12230

Todd, R. M., Miskovic, V., Chikazoe, J., & Anderson, A. K. (2020). Emotional objectivity: Neural representations of emotions and their interaction with cognition. Annual Review of Psychology, 71, 25-48. https://doi.org/10.1146/annurev-psych-010419-051044

Tonti, S. (2013). ADHD as a difference in cognition, not a disorder: Stephen Tonti at TEDxCMU. [video]. (13:36 minutes). https://www.youtube.com/watch?v=uU6o2_UFSEY

Uomini, N., Fairlie, J., Gray, R. D., & Griesser, M. (2020). Extended parenting and the evolution of cognition. Philosophical Transactions of the Royal Society B, 375(1803), 20190495. https://doi.org/10.1098/rstb.2019.0495

Van Dijk, T. A. (2019). Macrostructures: An interdisciplinary study of global structures in discourse, interaction, and cognition. Routledge. https://books.google.com.ec/books?hl=en&lr=&id=pNmMDwAAQBAJ&oi=fnd&pg=PP1&dq=cognition&ots=O6PiDD06Ir&sig=4cSQzuWsIKmvEg1knTLlFFaAV9E&redir_esc=y#v=onepage&q=cognition&f=false

Vernon, D., Hocking, I., & Tyler, T. C. (2016). An evidence-based review of creative problem solving tools: a practitioner’s resource. Human Resource Development Review, 15(2), 230-259. https://doi.org/10.1177/1534484316641512

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Date of last update: 14-Dec-2022 CB

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