title: Information and perception of meaningful patterns.
abstract: The visual system needs to extract the most important elements of the external world from a large flux of information in a short time for survival purposes. It is widely believed that in performing this task, it operates a strong data reduction at an early stage, by creating a compact summary of relevant information that can be handled by further levels of processing. In this work we formulate a model of early vision based on a pattern-filtering architecture, partly inspired by high-speed digital data reduction in experimental high-energy physics (HEP). This allows a much stronger data reduction than models based just on redundancy reduction. We show that optimizing this model for best information preservation under tight constraints on computational resources yields surprisingly specific a-priori predictions for the shape of biologically plausible features, and for experimental observations on fast extraction of salient visual features by human observers. Interestingly, applying the same optimized model to HEP data acquisition systems based on pattern-filtering architectures leads to specific a-priori predictions for the relevant data patterns that these devices extract from their inputs. These results suggest that the limitedness of computing resources can play an important role in shaping the nature of perception, by determining what is perceived as "meaningful features" in the input data.
authors.affiliation: NEUROFARBA Dipartimento di Neuroscienze, Psicologia, Area del Farmaco e Salute del Bambino Sezione di Psicologia, Università di Firenze, Firenze, Italy. Michela@in.cnr.it
authors.forename: Maria M
authors.initials: MM
authors.lastname: Del Viva
authors.forename: Giovanni
authors.initials: G
authors.lastname: Punzi
authors.forename: Daniele
authors.initials: D
authors.lastname: Benedetti
mesh_terms: D003198:Computer Simulation; D004193:Discrimination Learning; D006801:Humans; D008962:Models, Theoretical; D009010:Monte Carlo Method; D010364:Pattern Recognition, Visual; D010465:Perception; D014796:Visual Perception
references.citation: J Neurophysiol. 1965 Mar;28:229-89
references.pmid: 14283058
references.citation: J Neurosci. 1982 Jan;2(1):32-48
references.pmid: 7054394
references.citation: Psychol Rev. 1954 May;61(3):183-93
references.pmid: 13167245
references.citation: Nature. 1979 Apr 26;278(5707):850-2
references.pmid: 440411
references.citation: J Neurosci. 1998 Jan 1;18(1):411-8
references.pmid: 9412517
references.citation: Curr Biol. 2003 Mar 18;13(6):493-7
references.pmid: 12646132
references.citation: Proc Natl Acad Sci U S A. 1982 Apr;79(8):2554-8
references.pmid: 6953413
references.citation: J Physiol. 1969 Jul;203(1):237-60
references.pmid: 5821879
references.citation: Psychophysiology. 1973 Sep;10(5):453-64
references.pmid: 4728488
references.citation: Science. 1999 Oct 1;286(5437):108-10
references.pmid: 10506555
references.citation: J Cereb Blood Flow Metab. 2001 Oct;21(10):1133-45
references.pmid: 11598490
references.citation: Nature. 2006 Feb 23;439(7079):978-82
references.pmid: 16495999
references.citation: Network. 2011;22(1-4):4-44
references.pmid: 22149669
references.citation: Perception. 2004;33(12):1463-73
references.pmid: 15729913
references.citation: Vision Res. 2011 Apr 13;51(7):738-53
references.pmid: 20696182
references.citation: Curr Biol. 2006 Jul 25;16(14):1428-34
references.pmid: 16860742
references.citation: Science. 1970 May 15;168(3933):869-71
references.pmid: 5444065
references.citation: Nature. 2001 Aug 2;412(6846):549-53
references.pmid: 11484056
references.citation: Vision Res. 1983;23(12):1465-77
references.pmid: 6666047
references.citation: Proc R Soc Lond B Biol Sci. 1988 Dec 22;235(1280):221-45
references.pmid: 2907382
references.citation: J Pers Soc Psychol. 1969 Dec;13(4):330-4
references.pmid: 5359231
references.citation: Annu Rev Neurosci. 2001;24:1193-216
references.pmid: 11520932
references.citation: Proc Natl Acad Sci U S A. 2010 Oct 5;107(40):17368-73
references.pmid: 20855627
references.citation: Nature. 1996 Jun 6;381(6582):520-2
references.pmid: 8632824
references.citation: J Physiol. 1975 Jul;248(3):663-716
references.pmid: 1151843
references.citation: PLoS Biol. 2005 Oct;3(10):e342
references.pmid: 16171408
references.citation: Nat Neurosci. 2000 Aug;3(8):837-43
references.pmid: 10903579
references.citation: Vision Res. 2006 May;46(11):1762-76
references.pmid: 16289663
references.citation: Nature. 1996 Jun 13;381(6583):607-9
references.pmid: 8637596
references.citation: J Exp Psychol Hum Percept Perform. 2000 Feb;26(1):379-90
references.pmid: 10696624
references.citation: Vision Res. 2001 Mar;41(6):711-24
references.pmid: 11248261
references.citation: J Physiol. 1959 Oct;148:574-91
references.pmid: 14403679
references.citation: J Opt Soc Am A. 1987 Dec;4(12):2379-94
references.pmid: 3430225
references.citation: IEEE Trans Inf Technol Biomed. 2006 Oct;10(4):803-8
references.pmid: 17044414
references.citation: Network. 2006 Dec;17(4):301-34
references.pmid: 17283516
references.citation: J Exp Biol. 2008 Jun;211(Pt 11):1792-804
references.pmid: 18490395
references.citation: Nature. 1980 Sep 4;287(5777):43-4
references.pmid: 7412873
references.citation: PLoS Comput Biol. 2007 Apr 6;3(4):e62
references.pmid: 17411335
references.citation: Neural Comput. 1996 Apr 1;8(3):531-43
references.pmid: 8868566
references.citation: Proc R Soc Lond B Biol Sci. 1980 Feb 29;207(1167):187-217
references.pmid: 6102765