Attention along the cortical hierarchy: Development matters.
attention
biased competition
development
neural computation
neuroscience
psychology
Journal
Wiley interdisciplinary reviews. Cognitive science
ISSN: 1939-5086
Titre abrégé: Wiley Interdiscip Rev Cogn Sci
Pays: United States
ID NLM: 101524169
Informations de publication
Date de publication:
Jan 2023
Jan 2023
Historique:
revised:
28
07
2021
received:
15
03
2021
accepted:
30
07
2021
pubmed:
5
9
2021
medline:
17
1
2023
entrez:
4
9
2021
Statut:
ppublish
Résumé
We build on the existing biased competition view to argue that attention is an emergent property of neural computations within and across hierarchically embedded and structurally connected cortical pathways. Critically then, one must ask, what is attention emergent from? Within this framework, developmental changes in the quality of sensory input and feedforward-feedback information flow shape the emergence and efficiency of attention. Several gradients of developing structural and functional cortical architecture across the caudal-to-rostral axis provide the substrate for attention to emerge. Neural activity within visual areas depends on neuronal density, receptive field size, tuning properties of neurons, and the location of and competition between features and objects in the visual field. These visual cortical properties highlight the information processing bottleneck attention needs to resolve. Recurrent feedforward and feedback connections convey sensory information through a series of steps at each level of the cortical hierarchy, integrating sensory information across the entire extent of the cortical hierarchy and linking sensory processing to higher-order brain regions. Higher-order regions concurrently provide input conveying behavioral context and goals. Thus, attention reflects the output of a series of complex biased competition neural computations that occur within and across hierarchically embedded cortical regions. Cortical development proceeds along the caudal-to-rostral axis, mirroring the flow in sensory information from caudal to rostral regions, and visual processing continues to develop into childhood. Examining both typical and atypical development will offer critical mechanistic insight not otherwise available in the adult stable state. This article is categorized under: Psychology > Attention.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e1575Subventions
Organisme : NIH HHS
ID : MH113870
Pays : United States
Organisme : National Science Foundation
ID : 2051819
Organisme : NIH HHS
ID : MH113870
Pays : United States
Informations de copyright
© 2021 Wiley Periodicals LLC.
Références
Amso, D., Haas, S., Tenenbaum, E., Markant, J., & Sheinkopf, S. J. (2014). Bottom-up attention orienting in young children with autism. Journal of Autism & Developmental Disorders, 44(3), 664-673.
Amso, D., & Scerif, G. (2015). The attentive brain: Insights from developmental cognitive neuroscience. Nature Reviews Neuroscience, 16(10), 606-619. https://doi.org/10.1038/nrn4025
Angelucci, A., & Bressloff, P. C. (2006). Contribution of feedforward, lateral and feedback connections to the classical receptive field center and extra-classical receptive field surround of primate V1 neurons. Progress in Brain Research, 154(Suppl. A), 93-120. https://doi.org/10.1016/S0079-6123(06)54005-1
Annaz, D., Remington, A., Milne, E., Coleman, M., Campbell, R., Thomas, M. S. C., & Swettenham, J. (2010). Development of motion processing in children with autism. Developmental Science, 13(6), 826-838. https://doi.org/10.1111/j.1467-7687.2009.00939.x
Atkinson, J., Braddick, O., & Moar, K. (1977). Development of contrast sensitivity over the first 3 months of life in the human infant. Vision Research, 17(9), 1037-1044.
Badre, D., & D'Esposito, M. (2007). Functional magnetic resonance imaging evidence for a hierarchical organization of the prefrontal cortex. Journal of Cognitive Neuroscience, 19(12), 2082-2099. https://doi.org/10.1162/jocn.2007.19.12.2082
Badre, D., & D'Esposito, M. (2009). Is the rostro-caudal axis of the frontal lobe hierarchical? Nature Reviews Neuroscience, 10, 659-669. https://doi.org/10.1038/nrn2667
Baldauf, D., & Desimone, R. (2014). Neural mechanisms of object-based attention. Science, 344, 424-427. https://doi.org/10.1093/cercor/bht303
Banton, T., & Bertenthal, B. (1997). Multiple developmental pathways for motion processing. Optometry and Vision Science, 74(9), 751-760.
Baron-Cohen, S., Leslie, A. M., & Frith, U. (1985). Does the autistic child have a “theory of mind” ? Cognition, 21(1), 37-46. https://doi.org/10.1016/0010-0277(85)90022-8
Bertone, A., Mottron, L., Jelenic, P., & Faubert, J. (2003). Motion perception in autism: A “complex” issue. Journal of Cognitive Neuroscience, 15(2), 218-225. https://doi.org/10.1162/089892903321208150
Bertone, A., Mottron, L., Jelenic, P., & Faubert, J. (2005). Enhanced and diminished visuo-spatial information processing in autism depends on stimulus complexity. Brain, 128(10), 2430-2441. https://doi.org/10.1093/brain/awh561
Bichot, N. P., Heard, M. T., DeGennaro, E. M., & Desimone, R. (2015). A source for feature-based attention in the prefrontal cortex. Neuron, 88(4), 832-844. https://doi.org/10.1016/j.neuron.2015.10.001
Braddick, O. J., Wattam-bell, J., & Atkinson, J. (1986). Orientation-specific cortical responses develop in early infancy. Nature, 320(6063), 617-619. https://doi.org/10.1038/320617a0
Broadbent, D. (1958). Perception and sensation. Pergamon Press.
Brown, A. M. (1990). Development of visual sensitivity to light and color vision in human infants: A critical review. Vision Research, 30(8), 1159-1188. https://doi.org/10.1016/0042-6989(90)90173-I
Buffalo, E. A., Fries, P., Landman, R., Liang, H., & Desimone, R. (2010). A backward progression of attentional effects in the ventral stream. Proceeding of the National Academy of Science of the United States of America, 107(1), 361-365. https://doi.org/10.1073/pnas.0907658106
Bunge, S. A., & Zelazo, P. D. (2006). A brain-based account of the development of rule use in childhood. Current Directions in Psychological Science, 15(3), 118-121. https://doi.org/10.1111/j.0963-7214.2006.00419.x
Burkhalter, A. (1993). Development of forward and feedback connections between areas v1 and v2 of human visual cortex. Cerebral Cortex, 3(5), 476-487. https://doi.org/10.1093/cercor/3.5.476
Carrasco, M. (2011). Visual attention: The past 25 years. Vision Research, 51(13), 1484-1525. https://doi.org/10.1016/j.visres.2011.04.012
Casanova, M. F., van Kooten, I. A. J., Switala, A. E., van Engeland, H., Heinsen, H., Steinbusch, H. W. M., Hof, P. R., Trippe, J., Stone, J., & Schmitz, C. (2006). Minicolumnar abnormalities in autism. Acta Neuropathologica, 112(3), 287-303. https://doi.org/10.1007/s00401-006-0085-5
Charvet, C. J., Cahalane, D. J., & Finlay, B. L. (2015). Systematic, cross-cortex variation in neuron numbers in rodents and primates. Cerebral Cortex, 25(1), 147-160. https://doi.org/10.1093/cercor/bht214
Charvet, C. J., & Finlay, B. L. (2014). Evo-devo and the primate isocortex: The central organizing role of intrinsic gradients of neurogenesis. Brain, Behavior and Evolution, 84(2), 81-92. https://doi.org/10.1159/000365181
Chatham, C. H., & Badre, D. (2015). Multiple gates on working memory. Current Opinion in Behavioral Sciences, 1, 23-31. https://doi.org/10.1016/j.cobeha.2014.08.001
Chelazzi, L., Miller, E. K., Duncan, J., & Desimone, R. (2001). Responses of neurons in macaque area V4 during memory-guided visual search. Cerebral Cortex, 11(8), 761-772. https://doi.org/10.1093/cercor/11.8.761
Collins, C. E., Airey, D. C., Young, N. A., Leitch, D. B., & Kaas, J. H. (2010). Neuron densities vary across and within cortical areas in primates. Proceedings of the National Academy of Sciences of the United States of America, 107(36), 15927-15932. https://doi.org/10.1073/pnas.1010356107
Collins, C. E., Turner, E. C., Sawyer, E. K., Reed, J. L., Young, N. A., Flaherty, D. K., & Kaas, J. H. (2016). Cortical cell and neuron density estimates in one chimpanzee hemisphere. Proceedings of the National Academy of Sciences of the United States of America, 113(3), 740-745. https://doi.org/10.1073/pnas.1524208113
Corbetta, M., & Shulman, G. L. (2002). Control of goal-directed and stimulus-driven attention in the brain. Nature Reviews Neuroscience, 3, 201-215.
Desimone, R. (1998). Visual attention mediated by biased competition in extrastriate visual cortex. Philosophical Transactions of the Royal Society of London-Series B: Biological Sciences, 353, 1245-1255.
Desimone, R., & Duncan, J. (1995). Neural mechanisms of selective visual attention. Annual Review of Neuroscience, 18(1), 193-222. https://doi.org/10.1146/annurev.ne.18.030195.001205
Fecteau, J. H., & Munoz, D. P. (2006). Salience, relevance, and firing: A priority map for target selection. Trends in Cognitive Sciences, 10(8), 382-390. https://doi.org/10.1016/j.tics.2006.06.011
Felleman, D. J., & Van Essen, D. C. (1991). Distributed hierarchical processing in the primate cerebral cortex. Cerebral Cortex, 1, 1-47.
Finlay, B. L., & Uchiyama, R. (2015). Developmental mechanisms channeling cortical evolution. Trends in Neurosciences, 38(2), 69-76. https://doi.org/10.1016/j.tins.2014.11.004
Franklin, A., Sowden, P., Burley, R., Notman, L., & Alder, E. (2008). Color perception in children with autism. Journal of Autism and Developmental Disorders, 38(10), 1837-1847. https://doi.org/10.1007/s10803-008-0574-6
Franklin, A., Sowden, P., Notman, L., Gonzalez-Dixon, M., West, D., Alexander, I., Loveday, S., & White, A. (2010). Reduced chromatic discrimination in children with autism spectrum disorders. Developmental Science, 13(1), 188-200. https://doi.org/10.1111/j.1467-7687.2009.00869.x
Gilbert, C. D., & Li, W. (2013). Top-down influences on visual processing. Nature Reviews Neuroscience, 14(5), 350-363. https://doi.org/10.1038/nrn3476
Gliga, T., Bedford, R., Charman, T., Johnson, M. H., Baron-Cohen, S., Bolton, P., Cheung, C., Liew, M., Liew, M., Gammer, I., Salomone, E., Pasco, G., Pickles, A., Davies, K., Maris, H., Ribeiro, H., & Tucker, L. (2015). Enhanced visual search in infancy predicts emerging autism symptoms. Current Biology, 25(13), 1727-1730. https://doi.org/10.1016/j.cub.2015.05.011
Gogtay, N., Giedd, J. N., Lusk, L., Hayashi, K. M., Greenstein, D., Vaituzis, A. C., Nugent, T. F., Herman, D. H., Clasen, L. S., Toga, A. W., Rapoport, J. L., & Thompson, P. M. (2004). Dynamic mapping of human cortical development during childhood through early adulthood. Proceedings of the National Academy of the United States of America, 101, 8174-8179. https://doi.org/10.1073/pnas.0402680101
Gomez, J., Drain, A., Jeska, B., Natu, V. S., Barnett, M., & Grill-Spector, K. (2019). Development of population receptive fields in the lateral visual stream improves spatial coding amid stable structural-functional coupling. NeuroImage, 188, 59-69. https://doi.org/10.1016/j.neuroimage.2018.11.056
Gomez, J., Natu, V., Jeska, B., Barnett, M., & Grill-Spector, K. (2018). Development differentially sculpts receptive fields across early and high-level human visual cortex. Nature Communications, 9(1), 1-12. https://doi.org/10.1038/s41467-018-03166-3
Gowen, E., Jachim, S., Subri, S., Dickinson, C., Hamblin-Pyke, B., & Warren, P. A. (2020). Collinear facilitation and contour integration in autistic adults: Examining lateral and feedback connectivity. Vision Research, 177(May), 56-67. https://doi.org/10.1016/j.visres.2020.08.004
Gregoriou, G. G., Rossi, A. F., Ungerleider, L. G., & Desimone, R. (2014). Lesions of prefrontal cortex reduce attentional modulation of neuronal responses and synchrony in V4. Nature Neuroscience, 17(7), 1003-1011. https://doi.org/10.1038/nn.3742
Hadad, B. S., Maurer, D., & Lewis, T. L. (2011). Long trajectory for the development of sensitivity to global and biological motion. Developmental Science, 14(6), 1330-1339. https://doi.org/10.1111/j.1467-7687.2011.01078.x
Hansel, C. (2019). Deregulation of synaptic plasticity in autism. Neuroscience Letters, 688(August 2017), 58-61. https://doi.org/10.1016/j.neulet.2018.02.003
Hazlett, H. C., Gu, H., Munsell, B. C., Kim, S. H., Styner, M., Wolff, J. J., Elison, J. T., Swanson, M. R., Zhu, H., Botteron, K. N., Collins, D. L., Constantino, J. N., Dager, S. R., Estes, A. M., Evans, A. C., Fonov, V. S., Gerig, G., Kostopoulos, P., McKinstry, R. C., … Piven, J. (2017). Early brain development in infants at high risk for autism spectrum disorder. Nature, 542(7641), 348-351. https://doi.org/10.1038/nature21369
Hussman, J. P. (2001). Suppressed GABAergic inhibition as a common factor in suspected etiologies of autism. Journal of Autism & Developmental Disorders, 31(2), 247-248 http://www.ncbi.nlm.nih.gov/pubmed/24786156
Huttenlocher, P. R., & de Courten, C. (1987). The development of synapses in striate cortex of man. Human Neurobiology, 6(1), 1-9.
Itti, L. (2005). Quantifying the contribution of low-level saliency to human eye movements in dynamic scenes. Visual Cognition, 12(6), 1093-1123. https://doi.org/10.1080/13506280444000661
Itti, L., & Koch, C. (2001). Computational modelling of visual attention. Nature Reviews Neuroscience, 2(3), 194-203. https://doi.org/10.1038/35058500
Itti, L., Koch, C., & Niebur, E. (1998). A model of saliency-based visual attention for rapid scene analysis. IEEE Transaction on Pattern Analysis and Machine Intelligence, 20(11), 1254-1259.
Jachim, S., Warren, P. A., McLoughlin, N., & Gowen, E. (2015). Collinear facilitation and contour integration in autism: Evidence for atypical visual integration. Frontiers in Human Neuroscience, 9(Mar), 1-12. https://doi.org/10.3389/fnhum.2015.00115
James, W. (1890). The principles of psychology. Henry Holt and Company.
Johnson, M. H., Charman, T., Pickles, A., & Jones, E. J. H. (2021). Annual research review: Anterior modifiers in the emergence of neurodevelopmental disorders (AMEND)-A systems neuroscience approach to common developmental disorders. Journal of Child Psychology and Psychiatry and Allied Disciplines, 62(5), 610-630. https://doi.org/10.1111/jcpp.13372
Joseph, R. M., Keehn, B., Connolly, C., Wolfe, J. M., & Horowitz, T. S. (2009). Why is visual search superior in autism spectrum disorder? Developmental Science, 12(6), 1083-1096.
Kaldy, Z., Kraper, C., Carter, A. S., & Blaser, E. (2011). Toddlers with autism spectrum disorder are more successful at visual search than typically developing toddlers. Developmental Science, 14(5), 980-988. https://doi.org/10.1111/j.1467-7687.2011.01053.x
Kapadia, M. K., Westheimer, G., & Gilbert, C. D. (2000). Spatial distribution of contextual interactions in primary visual cortex and in visual perception. Journal of Neurophysiology, 84(4), 2048-2062. https://doi.org/10.1152/jn.2000.84.4.2048
Kastner, S., De Weerd, P., Pinsk, M. A., Elizondo, M. I., Desimone, R., & Ungerleider, L. G. (2001). Modulation of sensory suppression: Implications for receptive field sizes in the human visual cortex. Journal of Neurophysiology, 86(3), 1398-1411. https://doi.org/10.1152/jn.2001.86.3.1398
Kastner, S., & Ungerleider, L. G. (2001). The neural basis of biased competition in human visual cortex. Neuropsychologia, 39, 1263-1276.
Keehn, B., Brenner, L., Palmer, E., Lincoln, A. J., & Müller, R. A. (2008). Functional brain organization for visual search in ASD. Journal of the International Neuropsychological Society, 14(6), 990-1003. https://doi.org/10.1017/S1355617708081356
Kennedy, H., & Burkhalter, A. (2004). Ontogenesis of cortical connectivity. In L. M. Chalupa & J. S. Werner (Eds.), The visual neuroscience (Vol. 1, pp. 146-158). MIT Press.
Kéta, L., Mottron, L., Dawson, M., & Bertone, A. (2011). Atypical lateral connectivity: A neural basis for altered visuospatial processing in autism. Biological Psychiatry, 70(9), 806-811. https://doi.org/10.1016/j.biopsych.2011.07.031
Kim, N. Y., Pinsk, M. A., & Kastner, S. (2021). Neural basis of biased competition in development: Sensory competition in visual cortex of school-aged children. Cerebral Cortex, 31, 3107-3121. https://doi.org/10.1093/cercor/bhab009
Knoblauch, K., Vital-Durand, F., & Barbur, J. L. (2001). Variation of chromatic sensitivity across the life span. Vision Research, 41(1), 23-36. https://doi.org/10.1016/S0042-6989(00)00205-4
Koch, C., & Ullman, S. (1985). Shifts in selective visual attention: Towards the underlying neural circuitry. Human Neurobiology, 4, 219-227.
Koldewyn, K., Whitney, D., & Rivera, S. M. (2010). The psychophysics of visual motion and global form processing in autism. Brain, 133(2), 599-610. https://doi.org/10.1093/brain/awp272
Kovács, I., Kozma, P., Fehér, Á., & Benedek, G. (1999). Late maturation of visual spatial integration in humans. Proceedings of the National Academy of Sciences of the United States of America, 96(21), 12204-12209. https://doi.org/10.1073/pnas.96.21.12204
Leat, S. J., Yadav, N. K., & Irving, E. L. (2009). Development of visual acuity and contrast sensitivity in children. Journal of Optometry, 2(1), 19-26. https://doi.org/10.3921/joptom.2009.19
Li, W., & Gilbert, C. D. (2002). Global contour saliency and local colinear interactions. Journal of Neurophysiology, 88(5), 2846-2856. https://doi.org/10.1152/jn.00289.2002
Li, W., Piëch, V., & Gilbert, C. D. (2004). Perceptual learning and top-down influences in primary visual cortex. Nature Neuroscience, 7(6), 651-657. https://doi.org/10.1038/nn1255
Li, W., Piëch, V., & Gilbert, C. D. (2006). Contour saliency in primary visual cortex. Neuron, 50(6), 951-962. https://doi.org/10.1016/j.neuron.2006.04.035
Liang, H., Gong, X., Chen, M., Yan, Y., Li, W., & Gilbert, C. D. (2017). Interactions between feedback and lateral connections in the primary visual cortex. Proceedings of the National Academy of Sciences of the United States of America, 114(32), 8637-8642. https://doi.org/10.1073/pnas.1706183114
Ling, S., Jehee, J. F. M., & Pestilli, F. (2015). A review of the mechanisms by which attentional feedback shapes visual selectivity. Brain Structure and Function, 220(3), 1237-1250. https://doi.org/10.1007/s00429-014-0818-5
Markov, N. T., Vezoli, J., Chameau, P., Falchier, A., Quilodran, R., Huissoud, C., Lamy, C., Misery, P., Giroud, P., Ullman, S., Barone, P., Dehay, C., Knoblauch, K., & Kennedy, H. (2014). Anatomy of hierarchy: Feedforward and feedback pathways in macaque visual cortex. Journal of Comparative Neurology, 522(1), 225-259. https://doi.org/10.1002/cne.23458
Maule, J., Stanworth, K., Pellicano, E., & Franklin, A. (2017). Ensemble perception of color in autistic adults. Autism Research, 10(5), 839-851. https://doi.org/10.1002/aur.1725
McKavanagh, R., Buckley, E., & Chance, S. A. (2015). Wider minicolumns in autism: A neural basis for altered processing? Brain, 138(7), 2034-2045. https://doi.org/10.1093/brain/awv110
Moran, J., & Desimone, R. (1985). Selective attention gates visual processing in the extrastriate cortex. Science, 229(4715), 782-784. https://doi.org/10.1126/science.4023713
Oakes, L., & Amso, D. (2018). Development of Visual Attention. In J. T. Wixted (Ed.), Stevens’ Handbook of Experimental Psychology and Cognitive Neuroscience (4th ed.), pp. 1-33. New York: John Wiley & Sons, Inc.
O'Riordan, M. A. (2004). Superior visual search in adults with autism. Autism, 8(3), 229-248. https://doi.org/10.1177/1362361304045219
O'Riordan, M. A., Plaisted, K., Driver, J., & Baron-Cohen, S. (2001). Superior visual search in autism. Journal of Experimental Psychology: Human Perception and Performance, 27(3), 719-730.
Petersen, S. E., & Posner, M. I. (2012). The attention system of the human brain: 20 years after. Annual Review of Neuroscience, 35(1), 73-89. https://doi.org/10.1146/annurev-neuro-062111-150525
Plaisted, K., O'Riordan, M., & Baron-Cohen, S. (1998). Enhanced visual search for a conjunctive target in autism: A research note. Journal of Child Psychology and Psychiatry, 39(5), 777-783. https://doi.org/10.1111/1469-7610.00376
Posner, M. I. (1980). Orienting of attention. Quarterly Journal of Experimental Psychology, 32, 3-25.
Reynolds, J. H., Chelazzi, L., & Desimone, R. (1999). Competitive mechanisms subserve attention in macaque areas V2 and V4. Neuroscience, 19(5), 1736-1753.
Ricci, M., & Serre, T. (2020). Hierarchical models of the visual system. In D. Jaeger & R. Jung (Eds.), Encyclopedia of computational neuroscience (pp. 1-15). New York, NY: Springer.
Robertson, C. E., & Baron-Cohen, S. (2017). Sensory perception in autism. Nature Reviews Neuroscience, 18(11), 671-684. https://doi.org/10.1038/nrn.2017.112
Rothenstein, A. L., & Tsotsos, J. K. (2014). Attentional modulation and selection-An integrated approach. PLoS One, 9(6), e99681. https://doi.org/10.1371/journal.pone.0099681
Rubenstein, J. L. R., & Merzenich, M. M. (2003). Model of autism: Increased ratio of excitation/inhibition in key neural systems. Genes, Brain, and Behavior, 2(5), 255-267 http://www.ncbi.nlm.nih.gov/pubmed/14606691
Serences, J. T., Schwarzbach, J., Courtney, S. M., Golay, X., & Yantis, S. (2004). Control of object-based attention in human cortex. Cerebral Cortex, 14(12), 1346-1357.
Smith, A. T., Singh, K. D., Williams, A. L., & Greenlee, M. W. (2001). Estimating receptive field size from fMRI data in human striate and extrastriate visual cortex. Cerebral Cortex, 11(12), 1182-1190. https://doi.org/10.1093/cercor/11.12.1182
Stettler, D. D., Das, A., Bennett, J., & Gilbert, C. D. (2002). Lateral connectivity and contextual interactions in macaque primary visual cortex. Neuron, 36(4), 739-750. https://doi.org/10.1016/S0896-6273(02)01029-2
Tang, G., Gudsnuk, K., Kuo, S. H., Cotrina, M. L., Rosoklija, G., Sosunov, A., Sonders, M. S., Kanter, E., Castagna, C., Yamamoto, A., Yue, Z., Arancio, O., Peterson, B. S., Champagne, F., Dwork, A. J., Goldman, J., & Sulzer, D. (2014). Loss of mTOR-dependent macroautophagy causes autistic-like synaptic pruning deficits. Neuron, 83(5), 1131-1143. https://doi.org/10.1016/j.neuron.2014.07.040
Thye, M. D., Bednarz, H. M., Herringshaw, A. J., Sartin, E. B., & Kana, R. K. (2018). The impact of atypical sensory processing on social impairments in autism spectrum disorder. Developmental Cognitive Neuroscience, 29(April 2017), 151-167. https://doi.org/10.1016/j.dcn.2017.04.010
Treisman, A. (1964). Monitoring and storage of irrelevant messages in selective attention. Journal of Verbal Learning and Verbal Behavior, 3(6), 449-459. https://doi.org/10.1016/S0022-5371(64)80015-3
Treisman, A., & Gelade, G. (1980). A feature-integration theory of attention. Cognitive Psychology, 12, 97-136.
Veale, R., Hafed, Z. M., & Yoshida, M. (2017). How is visual salience computed in the brain? Insights from behaviour, neurobiology and modeling. Philosophical Transactions of the Royal Society B: Biological Sciences, 372(1714), 20160113. https://doi.org/10.1098/rstb.2016.0113
Zeki, S. M. (1978). Uniformity and diversity of structure and function in Rhesus monkey prestriate visual cortex. Journal of Physiology, 277, 273-290.
Zhou, H., & Desimone, R. (2011). Feature-based attention in the frontal eye field and area V4 during visual search. Neuron, 70(6), 1205-1217. https://doi.org/10.1016/j.neuron.2011.04.032