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<h1 class="title">Bibliography</h1>
</header>
<div id="refs" class="references csl-bib-body" role="doc-bibliography">
<div id="ref-Maass97" class="csl-entry" role="doc-biblioentry">
<div class="csl-left-margin">[1] </div><div class="csl-right-inline">W. Maass, <span>“Networks of spiking neurons: <span>The</span> third generation of neural network models,”</span> <em>Neural Networks</em>, vol. 10, no. 9, pp. 1659–1671, Dec. 1997, doi: <a href="https://doi.org/fm92kt">fm92kt</a>.</div>
</div>
<div id="ref-Silver16" class="csl-entry" role="doc-biblioentry">
<div class="csl-left-margin">[2] </div><div class="csl-right-inline">D. Silver <em>et al.</em>, <span>“Mastering the game of <span>Go</span> with deep neural networks and tree search,”</span> <em>Nature</em>, vol. 529, no. 7587, pp. 484–489, Jan. 2016, doi: <a href="https://doi.org/f77tw6">f77tw6</a>.</div>
</div>
<div id="ref-NIPS2012_4824" class="csl-entry" role="doc-biblioentry">
<div class="csl-left-margin">[3] </div><div class="csl-right-inline">A. Krizhevsky, I. Sutskever, and G. E. Hinton, <span>“ImageNet classification with deep convolutional neural networks,”</span> in <em>Advances in neural information processing systems 25</em>, F. Pereira, C. J. C. Burges, L. Bottou, and K. Q. Weinberger, Eds. Curran Associates, Inc., 2012, pp. 1097–1105.</div>
</div>
<div id="ref-Changizi08" class="csl-entry" role="doc-biblioentry">
<div class="csl-left-margin">[4] </div><div class="csl-right-inline">M. a Changizi, A. Hsieh, R. Nijhawan, R. Kanai, and S. Shimojo, <span>“Perceiving the present and a systematization of illusions.”</span> <em>Cognitive science</em>, 2008, doi: <a href="https://doi.org/10.1080/03640210802035191">10.1080/03640210802035191</a>.</div>
</div>
<div id="ref-Lamme00" class="csl-entry" role="doc-biblioentry">
<div class="csl-left-margin">[5] </div><div class="csl-right-inline">V. A. F. Lamme and P. R. Roelfsema, <span>“The distinct modes of vision offered by feedforward and recurrent processing,”</span> <em>Trends in Neurosciences</em>, vol. 23, no. 11, pp. 571–579, Nov. 2000, doi: <a href="https://doi.org/ccv3w2">ccv3w2</a>.</div>
</div>
<div id="ref-Kirchner06" class="csl-entry" role="doc-biblioentry">
<div class="csl-left-margin">[6] </div><div class="csl-right-inline">H. Kirchner and S. Thorpe, <span>“Ultra-rapid object detection with saccadic eye movements: Visual processing speed revisited,”</span> <em>Vision Research</em>, vol. 46, no. 11, pp. 1762–76, 2006, doi: <a href="https://doi.org/10.1016/j.visres.2005.10.002">10.1016/j.visres.2005.10.002</a>.</div>
</div>
<div id="ref-Mirza18" class="csl-entry" role="doc-biblioentry">
<div class="csl-left-margin">[7] </div><div class="csl-right-inline">M. B. Mirza, R. A. Adams, C. Mathys, and K. J. Friston, <span>“Human visual exploration reduces uncertainty about the sensed world,”</span> <em>PLOS ONE</em>, vol. 13, no. 1, p. e0190429, Jan. 2018, doi: <a href="https://doi.org/10.1371/journal.pone.0190429">10.1371/journal.pone.0190429</a>.</div>
</div>
<div id="ref-Brette19" class="csl-entry" role="doc-biblioentry">
<div class="csl-left-margin">[8] </div><div class="csl-right-inline">R. Brette, <span>“Is coding a relevant metaphor for the brain?”</span> <em>Behavioral and Brain Sciences</em>, pp. 1–44, Feb. 2019, doi: <a href="https://doi.org/gfvs6r">gfvs6r</a>.</div>
</div>
<div id="ref-Olshausen97" class="csl-entry" role="doc-biblioentry">
<div class="csl-left-margin">[9] </div><div class="csl-right-inline">B. A. Olshausen and D. J. Field, <span>“Sparse coding with an overcomplete basis set: A strategy employed by V1?”</span> <em>Vision research</em>, vol. 37, no. 23, pp. 3311–3325, 1997.</div>
</div>
<div id="ref-Glaser18" class="csl-entry" role="doc-biblioentry">
<div class="csl-left-margin">[10] </div><div class="csl-right-inline">J. I. Glaser, M. G. Perich, P. Ramkumar, L. E. Miller, and K. P. Kording, <span>“Population coding of conditional probability distributions in dorsal premotor cortex,”</span> <em>Nature Communications</em>, vol. 9, no. 1, p. 1788, May 2018, doi: <a href="https://doi.org/gdhvzr">gdhvzr</a>.</div>
</div>
<div id="ref-Tring18" class="csl-entry" role="doc-biblioentry">
<div class="csl-left-margin">[11] </div><div class="csl-right-inline">E. Tring and D. L. Ringach, <span>“On the subspace invariance of population responses,”</span> <em>arXiv:1811.03251 [q-bio]</em>, Nov. 2018, Accessed: Feb. 08, 2019. [Online]. Available: <a href="http://arxiv.org/abs/1811.03251">http://arxiv.org/abs/1811.03251</a>.</div>
</div>
<div id="ref-Baudot13" class="csl-entry" role="doc-biblioentry">
<div class="csl-left-margin">[12] </div><div class="csl-right-inline">P. Baudot, M. Levy, O. Marre, C. Monier, M. Pananceau, and Y. Frégnac, <span>“Animation of natural scene by virtual eye-movements evokes high precision and low noise in <span>V</span>1 neurons,”</span> <em>Frontiers in Neural Circuits</em>, vol. 7, p. 206, 2013, doi: <a href="https://doi.org/10.3389/fncir.2013.00206">10.3389/fncir.2013.00206</a>.</div>
</div>
<div id="ref-Bastos12" class="csl-entry" role="doc-biblioentry">
<div class="csl-left-margin">[13] </div><div class="csl-right-inline">A. M. Bastos, W. M. Usrey, R. A. Adams, G. R. Mangun, P. Fries, and K. J. Friston, <span>“Canonical <span>Microcircuits</span> for <span>Predictive</span> <span>Coding</span>,”</span> <em>Neuron</em>, vol. 76, no. 4, pp. 695–711, 2012, doi: <a href="https://doi.org/f4gsgg">f4gsgg</a>.</div>
</div>
<div id="ref-Bringuier99" class="csl-entry" role="doc-biblioentry">
<div class="csl-left-margin">[14] </div><div class="csl-right-inline">V. Bringuier, F. Chavane, L. Glaeser, and Y. Frégnac, <span>“Horizontal <span>Propagation</span> of <span>Visual</span> <span>Activity</span> in the <span>Synaptic</span> <span>Integration</span> <span>Field</span> of <span>Area</span> 17 <span>Neurons</span>,”</span> <em>Science</em>, vol. 283, no. 5402, pp. 695–699, Jan. 1999, doi: <a href="https://doi.org/b9shf4">b9shf4</a>.</div>
</div>
<div id="ref-Markov13" class="csl-entry" role="doc-biblioentry">
<div class="csl-left-margin">[15] </div><div class="csl-right-inline">N. T. Markov <em>et al.</em>, <span>“The role of long-range connections on the specificity of the macaque interareal cortical network,”</span> <em>Proceedings of the National Academy of Sciences</em>, vol. 110, no. 13, pp. 5187–5192, 2013, doi: <a href="https://doi.org/10.1073/PNAS.1218972110">10.1073/PNAS.1218972110</a>.</div>
</div>
<div id="ref-Kowler14" class="csl-entry" role="doc-biblioentry">
<div class="csl-left-margin">[16] </div><div class="csl-right-inline">E. Kowler, C. D. Aitkin, N. M. Ross, E. M. Santos, and M. Zhao, <span>“Davida <span>Teller</span> <span>Award</span> <span>Lecture</span> 2013: <span>The</span> importance of prediction and anticipation in the control of smooth pursuit eye movements,”</span> <em>Journal of Vision</em>, vol. 14, no. 5, pp. 1–16, 2014, doi: <a href="https://doi.org/10.1167/14.5.10">10.1167/14.5.10</a>.</div>
</div>
<div id="ref-Hansel12" class="csl-entry" role="doc-biblioentry">
<div class="csl-left-margin">[17] </div><div class="csl-right-inline">D. Hansel and C. van Vreeswijk, <span>“The mechanism of orientation selectivity in primary visual cortex without a functional map,”</span> <em>Journal of Neuroscience</em>, vol. 32, no. 12, pp. 4049–4064, 2012.</div>
</div>
<div id="ref-Paugam12" class="csl-entry" role="doc-biblioentry">
<div class="csl-left-margin">[18] </div><div class="csl-right-inline">H. Paugam-Moisy and S. Bohte, <span>“Computing with spiking neuron networks,”</span> in <em>Handbook of natural computing</em>, Springer, 2012, pp. 335–376.</div>
</div>
<div id="ref-Lagorce17" class="csl-entry" role="doc-biblioentry">
<div class="csl-left-margin">[19] </div><div class="csl-right-inline">X. Lagorce, G. Orchard, F. Galluppi, B. E. Shi, and R. B. Benosman, <span>“<span>HOTS</span>: <span>A</span> <span>Hierarchy</span> of <span>Event</span>-<span>Based</span> <span>Time</span>-<span>Surfaces</span> for <span>Pattern</span> <span>Recognition</span>,”</span> <em>IEEE Transactions on Pattern Analysis and Machine Intelligence</em>, vol. 39, no. 7, pp. 1346–1359, 2017, doi: <a href="https://doi.org/10.1109/TPAMI.2016.2574707">10.1109/TPAMI.2016.2574707</a>.</div>
</div>
<div id="ref-Oconnor13" class="csl-entry" role="doc-biblioentry">
<div class="csl-left-margin">[20] </div><div class="csl-right-inline">P. O’Connor, D. Neil, S.-C. Liu, T. Delbruck, and M. Pfeiffer, <span>“Real-time classification and sensor fusion with a spiking deep belief network,”</span> <em>Frontiers in Neuroscience</em>, vol. 7, p. 178, 2013, doi: <a href="https://doi.org/10.3389/fnins.2013.00178">10.3389/fnins.2013.00178</a>.</div>
</div>
<div id="ref-Ghosh09" class="csl-entry" role="doc-biblioentry">
<div class="csl-left-margin">[21] </div><div class="csl-right-inline">S. Ghosh-Dastidar and H. Adeli, <span>“Third generation neural networks: Spiking neural networks,”</span> in <em>Advances in computational intelligence</em>, Springer, 2009, pp. 167–178.</div>
</div>
<div id="ref-Kent19" class="csl-entry" role="doc-biblioentry">
<div class="csl-left-margin">[22] </div><div class="csl-right-inline">L. Kent, G. van Doorn, J. Hohwy, and B. Klein, <span>“Bayes, time perception, and relativity: <span>The</span> central role of hopelessness,”</span> <em>Consciousness and Cognition</em>, vol. 69, pp. 70–80, Mar. 2019, doi: <a href="https://doi.org/gft7b2">gft7b2</a>.</div>
</div>
<div id="ref-Jancke10" class="csl-entry" role="doc-biblioentry">
<div class="csl-left-margin">[23] </div><div class="csl-right-inline">D. Jancke and W. Erlhagen, <span>“Bridging the gap: A model of common neural mechanisms underlying the frbhlich effect, the flash-lag effect, and the representational momentum effect,”</span> <em>Space and time in perception and action</em>, pp. 422–440, 2010, doi: <a href="https://doi.org/10.1017/CBO9780511750540.025">10.1017/CBO9780511750540.025</a>.</div>
</div>
<div id="ref-Gregory80" class="csl-entry" role="doc-biblioentry">
<div class="csl-left-margin">[24] </div><div class="csl-right-inline">R. L. Gregory, <span>“Perceptions as hypotheses,”</span> <em>Philosophical Transactions of the Royal Society B: Biological Sciences</em>, vol. 290, no. 1038, pp. 181–197, Jul. 1980, doi: <a href="https://doi.org/cgdwx9">cgdwx9</a>.</div>
</div>
<div id="ref-Kalman60" class="csl-entry" role="doc-biblioentry">
<div class="csl-left-margin">[25] </div><div class="csl-right-inline">R. E. Kalman, <span>“A <span>New</span> <span>Approach</span> to <span>Linear</span> <span>Filtering</span> and <span>Prediction</span> <span>Problems</span>,”</span> <em>Journal of Basic Engineering</em>, vol. 82, no. 1, p. 35, 1960, doi: <a href="https://doi.org/10.1115/1.3662552">10.1115/1.3662552</a>.</div>
</div>
<div id="ref-SPM12" class="csl-entry" role="doc-biblioentry">
<div class="csl-left-margin">[26] </div><div class="csl-right-inline"><em>Statistical <span>Parametric</span> <span>Mapping</span>: <span>The</span> <span>Analysis</span> of <span>Functional</span> <span>Brain</span> <span>Images</span> - 1st <span>Edition</span></em>. 2012.</div>
</div>
<div id="ref-vonHelmholtz1867" class="csl-entry" role="doc-biblioentry">
<div class="csl-left-margin">[27] </div><div class="csl-right-inline">H. Von Helmholtz, <em>Handbuch der physiologischen optik</em>, vol. 9. Leipzig: Leopold Voss, 1867.</div>
</div>
<div id="ref-Varoquaux19" class="csl-entry" role="doc-biblioentry">
<div class="csl-left-margin">[28] </div><div class="csl-right-inline">G. Varoquaux and R. Poldrack, <span>“Predictive models avoid excessive reductionism in cognitive neuroimaging,”</span> p. 6, 2019, doi: <a href="https://doi.org/10.1016/j.conb.2018.11.002">10.1016/j.conb.2018.11.002</a>.</div>
</div>
<div id="ref-Wigner90" class="csl-entry" role="doc-biblioentry">
<div class="csl-left-margin">[29] </div><div class="csl-right-inline">E. P. Wigner, <span>“The unreasonable effectiveness of mathematics in the natural sciences,”</span> in <em>Mathematics and science</em>, World Scientific, 1990, pp. 291–306.</div>
</div>
<div id="ref-Turkheimer19" class="csl-entry" role="doc-biblioentry">
<div class="csl-left-margin">[30] </div><div class="csl-right-inline">F. E. Turkheimer <em>et al.</em>, <span>“Conflicting <span>Emergences</span>. <span>Weak</span> vs. Strong emergence for the modelling of brain function,”</span> <em>Neuroscience &amp; Biobehavioral Reviews</em>, Jan. 2019, doi: <a href="https://doi.org/gft5mn">gft5mn</a>.</div>
</div>
<div id="ref-Karvelis18autistic" class="csl-entry" role="doc-biblioentry">
<div class="csl-left-margin">[31] </div><div class="csl-right-inline">P. Karvelis, A. R. Seitz, S. M. Lawrie, and P. Seriès, <span>“Autistic traits, but not schizotypy, predict increased weighting of sensory information in bayesian visual integration,”</span> <em>eLife</em>, vol. 7, p. e34115, 2018.</div>
</div>
<div id="ref-Avila06" class="csl-entry" role="doc-biblioentry">
<div class="csl-left-margin">[32] </div><div class="csl-right-inline">M. T. Avila, L. E. Hong, A. Moates, K. A. Turano, and G. K. Thaker, <span>“Role of anticipation in schizophrenia-related pursuit initiation deficits.”</span> <em>Journal of neurophysiology</em>, vol. 95, no. 2, pp. 593–601, Oct. 2006, doi: <a href="https://doi.org/10.1152/jn.00369.2005">10.1152/jn.00369.2005</a>.</div>
</div>
<div id="ref-Barnes91" class="csl-entry" role="doc-biblioentry">
<div class="csl-left-margin">[33] </div><div class="csl-right-inline">G. R. Barnes and P. T. Asselman, <span>“The mechanism of prediction in human smooth pursuit eye movements.”</span> <em>The Journal of physiology</em>, vol. 439, pp. 439–461, 1991, [Online]. Available: <a href="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1180117/">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1180117/</a>.</div>
</div>
<div id="ref-Heeger17" class="csl-entry" role="doc-biblioentry">
<div class="csl-left-margin">[34] </div><div class="csl-right-inline">D. J. Heeger, <span>“Theory of cortical function.”</span> <em>Proceedings of the National Academy of Sciences of the United States of America</em>, p. 201619788, 2017, doi: <a href="https://doi.org/10.1073/pnas.1619788114">10.1073/pnas.1619788114</a>.</div>
</div>
<div id="ref-Vinje02" class="csl-entry" role="doc-biblioentry">
<div class="csl-left-margin">[35] </div><div class="csl-right-inline">W. E. Vinje and J. L. Gallant, <span>“Natural <span>Stimulation</span> of the <span>Nonclassical</span> <span>Receptive</span> <span>Field</span> <span>Increases</span> <span>Information</span> <span>Transmission</span> <span>Efficiency</span> in <span>V</span>1,”</span> 2002.</div>
</div>
<div id="ref-Rao99" class="csl-entry" role="doc-biblioentry">
<div class="csl-left-margin">[36] </div><div class="csl-right-inline">R. P. Rao and D. H. Ballard, <span>“Predictive coding in the visual cortex: A functional interpretation of some extra-classical receptive-field effects.”</span> <em>Nature neuroscience</em>, 1999, doi: <a href="https://doi.org/10.1038/4580">10.1038/4580</a>.</div>
</div>
<div id="ref-Friston10generalized" class="csl-entry" role="doc-biblioentry">
<div class="csl-left-margin">[37] </div><div class="csl-right-inline">K. Friston, K. Stephan, B. Li, and J. Daunizeau, <span>“Generalised <span>Filtering</span>,”</span> <em>Mathematical Problems in Engineering</em>, vol. 2010, pp. 1–34, 2010, doi: <a href="https://doi.org/10.1155/2010/621670">10.1155/2010/621670</a>.</div>
</div>
<div id="ref-parr_active_2018" class="csl-entry" role="doc-biblioentry">
<div class="csl-left-margin">[38] </div><div class="csl-right-inline">T. Parr and K. J. Friston, <span>“Active inference and the anatomy of oculomotion,”</span> <em>Neuropsychologia</em>, vol. 111, pp. 334–343, 2018, doi: <a href="https://doi.org/gdgj4q">gdgj4q</a>.</div>
</div>
<div id="ref-Muller14" class="csl-entry" role="doc-biblioentry">
<div class="csl-left-margin">[39] </div><div class="csl-right-inline">L. Muller, A. Reynaud, F. Chavane, and A. Destexhe, <span>“The stimulus-evoked population response in visual cortex of awake monkey is a propagating wave,”</span> <em>Nat Commun</em>, vol. 5, p. 3675, Apr. 2014, doi: <a href="https://doi.org/f52mxc">f52mxc</a>.</div>
</div>
<div id="ref-Muller18" class="csl-entry" role="doc-biblioentry">
<div class="csl-left-margin">[40] </div><div class="csl-right-inline">L. Muller, F. Chavane, J. Reynolds, and T. J. Sejnowski, <span>“Cortical travelling waves: Mechanisms and computational principles,”</span> <em>Nature Reviews Neuroscience</em>, Mar. 2018, doi: <a href="https://doi.org/10.1038/nrn.2018.20">10.1038/nrn.2018.20</a>.</div>
</div>
<div id="ref-Nijhawan02" class="csl-entry" role="doc-biblioentry">
<div class="csl-left-margin">[41] </div><div class="csl-right-inline">R. Nijhawan, <span>“Neural delays, visual motion and the flash-lag effect.”</span> <em>Trends in Cognitive Sciences</em>, vol. 6, no. 9, pp. 387–393, 2002, doi: <a href="https://doi.org/10.1016/s1364-6613(02)01963-0">10.1016/s1364-6613(02)01963-0</a>.</div>
</div>
<div id="ref-Nijhawan09" class="csl-entry" role="doc-biblioentry">
<div class="csl-left-margin">[42] </div><div class="csl-right-inline">R. Nijhawan and S. S. Wu, <span>“Compensating time delays with neural predictions: Are predictions sensory or motor?”</span> <em>Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences</em>, vol. 367, no. 1891, pp. 1063–1078, 2009, doi: <a href="https://doi.org/10.1098/rsta.2008.0270">10.1098/rsta.2008.0270</a>.</div>
</div>
<div id="ref-MacKay58" class="csl-entry" role="doc-biblioentry">
<div class="csl-left-margin">[43] </div><div class="csl-right-inline">D. M. M. MacKay, <span>“Perceptual stability of a stroboscopically lit visual field containing self-luminous objects,”</span> <em>Nature</em>, vol. 181, no. 4607, pp. 507–508, 1958, doi: <a href="https://doi.org/10.1038/181507a0">10.1038/181507a0</a>.</div>
</div>
<div id="ref-Gibson79" class="csl-entry" role="doc-biblioentry">
<div class="csl-left-margin">[44] </div><div class="csl-right-inline">J. J. Gibson, <em>The ecological approach to visual perception</em>, New Ed. Psychology Press, 1979.</div>
</div>
<div id="ref-Marr83" class="csl-entry" role="doc-biblioentry">
<div class="csl-left-margin">[45] </div><div class="csl-right-inline">D. Marr, <em>Vision: A computational investigation into the human representation and processing of visual information</em>. Henry Holt &amp; Company, 1983.</div>
</div>
<div id="ref-DArcy-Thompson17" class="csl-entry" role="doc-biblioentry">
<div class="csl-left-margin">[46] </div><div class="csl-right-inline">W. D’Arcy Thompson, <em>On growth and form.</em> Cambridge [Eng.]: University press, 1917.</div>
</div>
<div id="ref-Friston10" class="csl-entry" role="doc-biblioentry">
<div class="csl-left-margin">[47] </div><div class="csl-right-inline">K. Friston, <span>“The free-energy principle: A unified brain theory?”</span> <em>Nature Reviews Neuroscience</em>, vol. 11, no. 2, pp. 127–138, 2010, doi: <a href="https://doi.org/10.1038/nrn2787">10.1038/nrn2787</a>.</div>
</div>
<div id="ref-Attneave54" class="csl-entry" role="doc-biblioentry">
<div class="csl-left-margin">[48] </div><div class="csl-right-inline">F. Attneave, <span>“Some informational aspects of visual perception.”</span> <em>Psychological Review</em>, vol. 61, no. 3, pp. 183–93, 1954, [Online]. Available: <a href="http://view.ncbi.nlm.nih.gov/pubmed/13167245">http://view.ncbi.nlm.nih.gov/pubmed/13167245</a>.</div>
</div>
<div id="ref-Barlow61" class="csl-entry" role="doc-biblioentry">
<div class="csl-left-margin">[49] </div><div class="csl-right-inline">H. B. Barlow, <span>“Possible principles underlying the transformation of sensory messages,”</span> <em>Sensory communication</em>, 1961.</div>
</div>
<div id="ref-Linsker90" class="csl-entry" role="doc-biblioentry">
<div class="csl-left-margin">[50] </div><div class="csl-right-inline">R. Linsker, <span>“Perceptual neural organization: Some approaches based on network models and information theory,”</span> <em>Annual review of Neuroscience</em>, vol. 13, no. 1, pp. 257–281, 1990.</div>
</div>
<div id="ref-Knill04" class="csl-entry" role="doc-biblioentry">
<div class="csl-left-margin">[51] </div><div class="csl-right-inline">D. C. Knill and A. Pouget, <span>“The bayesian brain: The role of uncertainty in neural coding and computation,”</span> <em>Trends in Neurosciences</em>, vol. 27, no. 12, pp. 712–719, 2004, doi: <a href="https://doi.org/10.1016/j.tins.2004.10.007">10.1016/j.tins.2004.10.007</a>.</div>
</div>
<div id="ref-Atick92" class="csl-entry" role="doc-biblioentry">
<div class="csl-left-margin">[52] </div><div class="csl-right-inline">J. J. Atick, <span>“Could information theory provide an ecological theory of sensory processing?”</span> <em>Network: Computation in Neural Systems</em>, vol. 3, no. 2, pp. 213–52, 1992.</div>
</div>
</div>
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