Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2010 Jun 1.
Published in final edited form as: Optom Vis Sci. 2009 Jun;86(6):E583–E588. doi: 10.1097/OPX.0b013e3181a72854

Does Visual Modularity Increase over the Course of Development?

Karen R Dobkins 1
PMCID: PMC2706294  NIHMSID: NIHMS119460  PMID: 19417708

Abstract

Early in postnatal development, the brain produces exuberant connections, some of which are later retracted, a process that is thought to play a role in the formation of functionally segregated modules in the brain. In the case of visual development, retraction between visual areas might underlie the known psychophysical and neural segregation of processing for different aspects of vision (e.g., color, motion, form, depth) known to exist in adults. This review covers the psychophysical evidence for increasing dissociation between visual modules over the course of development, and provides insight into the possible functions of this developmental alteration.

Keywords: development, color, motion, shape, synesthesia, parvocellular, magnocellular


Neuroanatomical evidence has shown that young animals possess transient connections between cortical areas that will subsequently be retracted.1-5,6 Although little is known regarding the behavioral consequences of this neurobiological phenomenon, it has long been conjectured that this transient period of enhanced neural intermingling will create for infants an unusual perceptual experience, with one of the earliest discussions proposing that the sensations of newborns “were mixed together like a boulillabaisse”.7 Since then, several papers have further discussed the potential for enhanced sensory intermingling in infants, both within and across sensory modalities.8-15

Although rich in theory, a major obstacle in providing evidence for the enhanced sensory intermingling hypothesis is that, while it may be relatively easy to show that young infants experience an intermingling of senses,15 it is far more difficult to show that the intermingling dissipates over the course of development. This is because demonstrating the dissipation requires using the same test at different ages, and then showing that older subjects (whether that be older infants, children or adults) exhibit weaker effects than younger infants, which for practical reasons (degree of attentiveness, cooperation, motor control, etc.) is an improbable outcome in a developmental study. Still, there has been some supporting evidence in the cross-modal domain, as follows. Preferential looking studies have shown that younger (3- to 4-month-olds), but not older (5- to 6-month-olds), infants look appropriately at a face (visual) that matches a voice (auditory).16 And, habituation studies have shown that younger (newborn to 3-month-olds), but not older (4- to 5-month-olds), infants show cross-habituation transfer from a tactile stimulus to its visual equivalent,17-19 although these findings should be viewed with caution as they are not entirely consistent20 (note that the age-related effect observed in the above-mentioned studies reverses for visual-to-tactile transfer).

The current paper reviews some recent investigations of transient enhanced sensory intermingling in early infancy, and in addition, addresses what purpose it might serve in development. For this feature issue of IOVS, the discussion will be restricted to evidence from within the visual system, specifically, addressing the possibility that dissipation of sensory intermingling leads to increased visual modularity over the course of development. To help elucidate what function transient sensory intermingling might serve, it is perhaps important to distinguish between intermingling that is utilitarian versus that which is not. Utilitarian sensory intermingling can be considered that in which one sensory process provides a functionally appropriate input cue for another sensory process. A good example of this would be the extraction of a contour defined by a particular visual feature (e.g., color, luminance, depth) being used as an input cue to extract the movement of that contour. So defined, in young infants, there could be an exuberance of visual feature types that provide input to motion detectors, with the most efficient input types being maintained, and less efficient input types being retracted, over the course of development. This process could reduce redundancy, and in addition, could be shaped by visual experience, with more or less retraction occurring depending on the statistics of an individual's environment. By contrast, non-utilitarian sensory intermingling can be considered that which has no obvious benefit to the developing system. A good example of this would be “synesthesia”, a condition in which a single stimulus produces two sensations, one that is appropriate and one that is not, where it can easily be argued that it makes good sense to get rid of the inappropriate sensory response over the course of development.

This chapter begins with discussing evidence for enhanced utilitarian sensory intermingling in infancy, in particular, reviewing studies that report age-related decreases in the use of chromatic contour cues for motion processing. This is followed by recent evidence for enhanced non-utilitarian sensory intermingling infancy, in particular, presenting studies that report age-related decreases in the strength of synesthetic-like associations between particular colors and shapes.

Utilitarian Sensory Intermingling in Infancy

The use of chromatic contour information as a cue for motion processing is a particularly interesting case to study, since in adults a wealth of psychophysical data has documented the limited contribution of chromatic information to motion perception, a phenomenon that is thought to arise from minimal cross-talk between neural areas encoding object color versus object motion.21-23 One particularly effective psychophysical paradigm that has been used to demonstrate limited chromatic input to motion perception is the “motion/detection” (MOT/DET) paradigm, in which contrast thresholds for detection of a moving grating stimulus (DET) are compared to contrast thresholds for direction-of-motion discrimination (MOT) for the same moving grating stimulus. For adults, MOT/DET ratios for luminance (light/dark) gratings are near 1.0 (i.e., luminance contrast levels sufficient for detection are sufficient for discriminating direction), indicating that luminance information provides strong and effective input to motion processing. By comparison, MOT/DET ratios for chromatic (equiluminant, red/green) gratings are significantly larger, ranging from 2.0 to 4.0 (i.e., chromatic contrast levels sufficient for detection are not sufficient for discriminating direction), indicating that chromatic information provides relatively ineffective input to motion processing.23-28 As described previously,29 at the neural level, these adult MOT/DET results can be explained by supposing that, relative to the neural pathway that underlies luminance sensitivity (presumably the Magnocellular, M, retinogeniculate pathway), the neural pathway that underlies red/green chromatic sensitivity (presumably the Parvoocellular, P, retinogeniculate pathway) provides weaker input (either fewer number of projecting neurons or weaker synaptic efficacy of those projections) to cortical areas involved in direction discrimination, like the middle temporal area, MT (see 30 for a review of MT). This neural input asymmetry is, in fact, supported by studies in adult primates demonstrating weaker P- versus M-pathway input to MT,31,32 as well as studies showing that adult MT neurons' signaling of direction is significantly weaker for chromatic, than for luminance, stimuli.23

For infants, the pattern of results obtained in the MOT/DET paradigm has been shown to be markedly different from that of adults. In these infant studies, the MOT threshold was obtained using a directional eye movement technique33,34 and the DET threshold was obtained using Forced-Choice Preferential Looking, FPL.35 As shown in Figure 1A, in contrast to adults, the MOT/DET ratios of 3-month-old infants were nearly identical for luminance and chromatic (equiluminant, red/green) gratings.28,36 This result suggests that, for young infants, luminance (M-pathway) and chromatic (P-pathway) mechanisms provide equally strong input to cortical motion areas like MT. Presumably, over the course of development, the input becomes asymmetrical, with luminance (M-pathway) input dominating. Although the changing pattern of luminance versus chromatic MOT/DET ratios from infancy to adulthood suggests a reweighting of luminance versus chromatic input to motion processing, these effects could be mediated by one of two phenomena: 1) selective strengthening of luminance input to motion, and/or 2) selective weakening of chromatic input to motion, over the course of development. Only the latter scenario is in the spirit of enhanced color/motion intermingling in infancy, which to prove psychophysically, would require showing a genuine worsening of chromatic-motion performance with age. This could not be demonstrated in the above-described MOT/DET studies because, obviously, absolute chromatic MOT thresholds were lower, i.e., better, in adults than in infants, simply because adult contrast sensitivity is much greater than that of infants.

Figure 1.

Figure 1

Data Showing Age-Related Decrease in Chromatic Input to Motion Processing. (A) Mean Log10 MOT/DET Threshold Ratios for Luminance Stimuli (black bars) and Chromatic Stimuli (white bars): Adults (left) vs. 3-Month-Old Infants (right). Error bars denote standard errors of the means. Adults were tested with standard 2-AFC psychophysical techniques. For adults, but not infants, there is a significant difference between MOT/DET ratios for luminance vs. chromatic stimuli. [Note that the log MOT/DET ratios are normalized so that the mean log MOT/DET ratio for luminance is 0 (i.e., linear mean = 1.0), the purpose of which is to facilitate comparison between the two age groups. This is justified because the MOT task in infants, which relies on detecting small eye movements, tends to be inherently more difficult than the DET task in infants, which is based on detecting relatively large head rotations/saccadic eye movements, and this difference likely biases the MOT/DET ratio. Thus, the most fundamental outcome measurement is the comparison of MOT/DET ratios between luminance and chromatic stimuli, and not the absolute value of MOT/DET ratios per se. The data in this figure are adapted from Dobkins and Teller, 1996. Non-normalized MOT/DET ratios as well as absolute threshold values can be found in this earlier manuscript]. (B) Infant Percent Correct Performance on a Luminance-Motion (black circles) and Chromatic-Motion (white circles) Task as a Function of Age. Error bars denote standard errors of the means. While there is a clear and significant increase in luminance-motion performance between 2 and 4 months of age, for chromatic-motion, there is no age-related improvement, or if anything, there is a slight (but non-significant) worsening of performance. These changes in motion performance with age cannot simply be accounted for by changes in contrast sensitivity with age (see text).

To investigate directly a possible age-related weakening of chromatic input to motion processing, a subsequent study measured absolute chromatic (equiluminant, red/green) motion performance across 2-, 3- and 4-month-olds, with the notion that age-related decreases in performance might be observed in this relatively short developmental period.37 Using the directional eye movement technique, infants' percent correct performance in discriminating motion direction was compared across ages, separately for a chromatic-motion, versus a luminance-motion, stimulus. As shown in Figure 1B, the results of this study revealed that, while there was a clear and significant increase in luminance-motion performance between 2 and 4 months of age, for chromatic-motion, there was no age-related improvement, or if anything, there was a slight worsening of performance. This lack of age-related improvement in chromatic-motion performance cannot simply reflect a lack of increase in chromatic contrast sensitivity over the same developmental period, since chromatic sensitivity (outside the domain of motion) shows a robust and significant increase between 2 and 4 months of age.38-42 To reconcile the lack of age-related improvement in chromatic-motion performance in the face of clear improvement in chromatic sensitivity, one can suppose a selective weakening/retraction of chromatic (P-pathway) input to cortical motion detectors within the first few months of life. Interestingly, developmental studies in primates have provided neuroanatomical support for substantial retraction of P-pathway input to area V1 in the first few months (in terms of spine numbers and axonal branching,43,44 leaving open the possibility that the same is true for input to cortical motion areas, a possibility that has yet to be explored. Such selective P-pathway retraction would be expected to lead to increased modularity between color and motion processing throughout development.

Non-Utilitarian Sensory Intermingling in Infancy

Perhaps the most well known example of non-utilitarian sensory intermingling is “synesthesia”, a condition in which a stimulus evokes not only the appropriate sensation, but also another (inappropriate) sensation of a different character.45,46 (Although, in principle, synesthesia has no obvious benefit, i.e., it is non-utilitarian, there has been suggestion that synesthesia is associated with enhanced abilities on, or proclivity for, creative tasks, as well as enhanced memory function47-50). It has been proposed that synesthesia is a normal stage in early infancy, with only a small percentage of individuals retaining this unusual condition into adulthood.12,14,15,46,51 More specifically, the idea is that synesthesia originates from the normal circumstance of exuberant connections between brain areas in early infancy, yet, unlike the normal circumstance in which these connections retract over the course of development, in synesthetes, they do not. Within the visual domain, there is a form of synesthesia, “grapheme-color” synesthesia (seen in ∼2% of adults52), wherein a particular letter/number is associated consistently with a particular color (e.g., the letter “w” may evoke the color “pink”). In line with the “lack of retraction” hypothesis (above), data from recent diffusion tensor imaging (DTI) studies in grapheme-color synesthetes suggest abnormally high connectivity between their grapheme and color areas of visual cortex (53, and see 54 for similar conclusions based on fMRI). Although little is known about the development of grapheme-color synesthesia, it has been shown to exist in 6- to 7-year-old children at about the same prevalence as seen in adults, although unlike the consistency seen in adult synesthetes, the grapheme-color associations of child synesthetes appear to be more chaotic, taking years to stabilize.55 (There is also evidence for remnants of synesthetic-type pairings in typical children and adults, some of which could be learned associations.56,57 A full discussion of this topic is outside the scope of this review).

Very recently, the possibility of grapheme-color synesthesia in young infants has been investigated by Wagner & Dobkins,58 in a study that used FPL to measure infants' looking preferences in response to combinations of colors and shapes, with the notion that “shapes” are developmental precursors to “graphemes”. The stimulus, shown in Figure 2, consisted of a field of black shapes (triangles or circles) on a saturated colored background, the left and right halves being equiluminant red and green, respectively (or vice versa). For each infant, the number of trials on which the red versus the green half of the background was preferred was statistically compared between the two different shape conditions, triangles and circles. The prediction is that if an infant perceives triangles as one color and circles as another color (consistent with a synesthetic experience), these “colored” shapes will interact with the red and green background colors in such a way that the preference for the red versus green background differs between the triangle and circle conditions. Moreover, this interaction is predicted to decrease with age. In line with these predictions, the results of this study revealed significant shape-color interactions for 2-month-olds, but not for 3-month-olds or 8-month-olds. Such findings are consistent with the possibility of exuberant connections between color and shape (later, grapheme) areas early in infancy, which under typical conditions later get retracted, a phenomenon that would lead to increasing modularity between color and shape processing throughout development.

Figure 2.

Figure 2

Stimuli Used to Test for Shape-Color Synesthesia in Infants. The number of trials for which an infant preferred the red versus the green half of the background was compared between the two different shape conditions, triangles (left) and circles (right). The red background was either on the left half of the display (shown here) or on the right side (not shown).

Concluding Remarks

While neuroscience has shown that typically developing brains produce exuberant connections, some of which are later retracted, little is known about the functional or behavioral consequences of this developmental phenomenon. In a somewhat bold exposition, Gerald Edelman59 proposed that the developmental exuberance/retraction is a type of “neural darwinism”, whereby the developing brain starts out with a smorgasbord of neural connections and processes, with only those most fit for the environment surviving. Along these lines, the above-described age-related decrease in strength of chromatic input to motion processing could be driven by relatively less fit input cues from the Parvocellular (P, chromatic) pathway, as compared to the Magnocellular (M, luminance) pathway, for motion processing. One should not jump to conclusions, however, that the ineffectiveness of the P-pathway input is related to its chromatic properties, per se. Instead, it may be that other response properties of the P-pathway, i.e., its relatively low temporal and high spatial resolution,60 are not well matched to the statistics of moving objects in the environment.61 To test this, future animal studies could investigate whether manipulating the spatiotemporal (and other) properties of motion signals in the environment influences the strength of P- versus M-pathway input to cortical motion areas (effects of environment on development of general response properties of cortical motion detectors62-66). Interestingly, Nassi et al.32 recently reported that the P-pathway provides more input to motion area MT than originally reported,31 but perhaps the difference between the original and more recent studies can be explained by differences in the animals' environment (e.g., cage-reared versus wild-caught animals are likely to be exposed to different motion statistics during development). Such differences could lead to the development of more or less P-pathway input to motion area MT, which, in turn, would affect the degree of modularity between color and motion processing.

But what purpose could the synesthetic links between colors and shapes in early infancy serve? Unlike the example of M- and P-pathways competing to provide the most effective input cues for motion processing, forming arbitrary links between colors and shapes (infants)/graphemes (children and adults) does not appear beneficial in any obvious way. Perhaps such links should be considered part of the neural darwinian process, existing to allow plasticity in the face of potential atypical sensory experience. That is, maybe early exuberant connections between shape/grapheme and color areas of the brain allow one region (i.e., the “shape/grapheme area”) to serve a different function (i.e., color processing) in the event that form information inputting to the shape/grapheme area is deficient (e.g., in the case of blurred vision from congenital cataracts). In fact, this scenario is a popular one in the cross-modal domain. Specifically, animal studies have shown that early in development, there exist transient connections between neural areas representing different sensory modalities, such as vision and audition, which normally get retracted over the course of development.67-70 In the case of early sensory deprivation (congenital deafness or blindness), however, these transient connections are believed to be maintained as a way of allowing neural areas originally appropriated for the absent sensory modality (e.g., vision areas, in the case of blindness) to be usurped by another intact sensory modality (e.g., audition), a hypothesis that is supported by neural imaging data from blind and deaf humans.71-79 In sum, the results from these studies of atypical development, together with those of typical development, suggest that the developing brain, while on a course towards increasing modularity, is able to re-chart in a manner that adapts to the environment.

Acknowledgments

I would like to thank Katie Wagner and Ed Hubbard for helpful feedback on this review and Jools Simner and Daphne Maurer for helpful discussions on this topic.

References

  • 1.Dehay C, Bullier J, Kennedy H. Transient projections from the fronto-parietal and temporal cortex to areas 17, 18 and 19 in the kitten. Exp Brain Res. 1984;57:208–12. doi: 10.1007/BF00231149. [DOI] [PubMed] [Google Scholar]
  • 2.Dehay C, Kennedy H, Bullier J. Characterization of transient cortical projections from auditory, somatosensory, and motor cortices to visual areas 17, 18, and 19 in the kitten. J Comp Neurol. 1988;272:68–89. doi: 10.1002/cne.902720106. [DOI] [PubMed] [Google Scholar]
  • 3.Kennedy H, Bullier J, Dehay C. Transient projection from the superior temporal sulcus to area 17 in the newborn macaque monkey. Proc Natl Acad Sci U S A. 1989;86:8093–7. doi: 10.1073/pnas.86.20.8093. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Huttenlocher PR. Morphometric study of human cerebral cortex development. Neuropsychologia. 1990;28:517–27. doi: 10.1016/0028-3932(90)90031-i. [DOI] [PubMed] [Google Scholar]
  • 5.Rodman HR, Consuelos MJ. Cortical projections to anterior inferior temporal cortex in infant macaque monkeys. Vis Neurosci. 1994;11:119–33. doi: 10.1017/s0952523800011160. [DOI] [PubMed] [Google Scholar]
  • 6.Innocenti GM, Price DJ. Exuberance in the development of cortical networks. Nat Rev Neurosci. 2005;6:955–65. doi: 10.1038/nrn1790. [DOI] [PubMed] [Google Scholar]
  • 7.Maurer D, Maurer C. The World of the Newborn. New York: Basic Books; 1988. [Google Scholar]
  • 8.Atkinson J. Human visual development over the first 6 months of life. A review and a hypothesis. Hum Neurobiol. 1984;3:61–74. [PubMed] [Google Scholar]
  • 9.Shimojo S, Bauer J, Jr, O'Connell KM, Held R. Pre-stereoptic binocular vision in infants. Vision Res. 1986;26:501–10. doi: 10.1016/0042-6989(86)90193-8. [DOI] [PubMed] [Google Scholar]
  • 10.Lewkowicz DJ. Development of intersensory functions in human infancy: auditory/visual interactions. In: Weiss MJ, Zelazo PR, editors. Newborn Attention. Norwood, NJ: Ablex Pub. Corp.; 1992. pp. 308–38. [Google Scholar]
  • 11.Held R. Two stages in the development of binocular vision and eye alignment. In: Simons K, editor. Early Visual Development, Normal and Abnormal. New York: Oxford University Press; 1993. pp. 250–7. [Google Scholar]
  • 12.Maurer D. Neonatal synesthesia: Implications for the processing of speech and faces. In: deBoysson-Bardies B, deSchonen S, Jusczyk P, McNeilage P, Morton J, editors. Developmental Neurocognition: Speech and Face Processing in the First Year of Life. Dordrecht: Kluwer Academic Publishers; 1993. pp. 109–24. [Google Scholar]
  • 13.Johnson MH, Vecera SP. Cortical differentiation and neurocognitive development: the parcellation conjecture. Behavioural Processes. 1996;36:195–212. doi: 10.1016/0376-6357(95)00028-3. [DOI] [PubMed] [Google Scholar]
  • 14.Baron-Cohen S. Is there a normal phase synaesthesia in development? Psyche. 1996;2:7. [Google Scholar]
  • 15.Maurer D, Mondloch CJ. Neonatal synesthesia: a re-evaluation. In: Robertson LC, Sagiv N, editors. Synesthesia: Perspectives from Cognitive Neuroscience. Oxford: Oxford University Press; 2005. pp. 193–213. [Google Scholar]
  • 16.Pickens J, Field T, Nawrocki T, Martinez A, Soutollo D, Gonazalez J. Full-term and preterm infants' perception of face-voice synchrony. Infant Behav Devel. 1994;17:447–55. [Google Scholar]
  • 17.Streri A, Pecheux MG. Vision-to-touch and touch-to-vision transfer of form in 5-month-old infants. Br J Devel Psychol. 1986;4:161–7. [Google Scholar]
  • 18.Streri A. Tactile discrimination of shape and intermodal transfer in 2- to 3-month-old infants. Br J Devel Psychol. 1987;5:213–20. [Google Scholar]
  • 19.Streri A. Cross-modal recognition of shape from hand to eyes in human newborns. Somatosens Mot Res. 2003;20:13–8. doi: 10.1080/0899022031000083799. [DOI] [PubMed] [Google Scholar]
  • 20.Streri A, Spelke ES. Haptic perception of objects in infancy. Cogn Psychol. 1988;20:1–23. doi: 10.1016/0010-0285(88)90022-9. [DOI] [PubMed] [Google Scholar]
  • 21.Gegenfurtner KR, Hawken MJ. Interaction of motion and color in the visual pathways. Trends Neurosci. 1996;19:394–401. doi: 10.1016/S0166-2236(96)10036-9. [DOI] [PubMed] [Google Scholar]
  • 22.Dobkins KR, Albright TD. The influence of chromatic information on visual motion processing in the primate visual system. In: Watanabe T, editor. High-Level Motion Processing: Computational, Neurobiological and Psychophysical Perspectives. Cambridge, MA: MIT Press; 1998. pp. 53–94. [Google Scholar]
  • 23.Dobkins KR, Albright TD. Merging processing streams: color cues for motion detection and interpretation. In: Chalupa LM, Werner JS, editors. The Visual Neurosciences. Cambridge, MA: MIT Press; 2004. pp. 1217–28. [Google Scholar]
  • 24.Green M. Contrast detection and direction discrimination of drifting gratings. Vision Res. 1983;23:281–9. doi: 10.1016/0042-6989(83)90117-7. [DOI] [PubMed] [Google Scholar]
  • 25.Graham NVS. Visual Pattern Analyzers. New York: Oxford University Press; 1989. [Google Scholar]
  • 26.Watson AB, Thompson PG, Murphy BJ, Nachmias J. Summation and discrimination of gratings moving in opposite directions. Vision Res. 1980;20:341–7. doi: 10.1016/0042-6989(80)90020-6. [DOI] [PubMed] [Google Scholar]
  • 27.Lindsey DT, Teller DY. Motion at isoluminance: discrimination/detection ratios for moving isoluminant gratings. Vision Res. 1990;30:1751–61. doi: 10.1016/0042-6989(90)90157-g. [DOI] [PubMed] [Google Scholar]
  • 28.Dobkins KR, Teller DY. Infant motion: detection (M:D) ratios for chromatically defined and luminance-defined moving stimuli. Vision Res. 1996;36:3293–310. doi: 10.1016/0042-6989(96)00069-7. [DOI] [PubMed] [Google Scholar]
  • 29.Dobkins KR. Enhanced red/green color input to motion processing in infancy: evidence for increasing dissociation of color and motion information during development. In: Munakata Y, Johnson MH, editors. Attention and Performance XXI. Oxford: Oxford University Press; 2005. pp. 401–25. [Google Scholar]
  • 30.Albright TD. Cortical processing of visual motion. In: Wallman J, Miles FA, editors. Visual Motion and its Role in the Stabilization of Gaze. Amsterdam: Elsevier; 1993. pp. 177–201. [PubMed] [Google Scholar]
  • 31.Maunsell JH, Nealey TA, DePriest DD. Magnocellular and parvocellular contributions to responses in the middle temporal visual area (MT) of the macaque monkey. J Neurosci. 1990;10:3323–34. doi: 10.1523/JNEUROSCI.10-10-03323.1990. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Nassi JJ, Lyon DC, Callaway EM. The parvocellular LGN provides a robust disynaptic input to the visual motion area MT. Neuron. 2006;50:319–27. doi: 10.1016/j.neuron.2006.03.019. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Kremenitzer JP, Vaugham HG, Kutzberg D, Dowling K. Smooth-pursuit eye movements in the newborn infants. Child Devel. 1979;50:442–8. [PubMed] [Google Scholar]
  • 34.Hainline L, Lemerise E, Abramov I, Turkel J. Orientational asymmetries in small-field optokinetic nystagmus in human infants. Behav Brain Res. 1984;13:217–30. doi: 10.1016/0166-4328(84)90164-5. [DOI] [PubMed] [Google Scholar]
  • 35.Teller DY. The forced-choice preferential looking procedure: a psychophysical technique for use with human infants. Infant Behav Devel. 1979;2:135–53. [Google Scholar]
  • 36.Lia B, Dobkins KR, Palmer J, Teller DY. Infants code the direction of chromatic quadrature motion. Vision Res. 1999;39:1783–94. doi: 10.1016/s0042-6989(98)00202-8. [DOI] [PubMed] [Google Scholar]
  • 37.Dobkins KR, Anderson CM. Color-based motion processing is stronger in infants than in adults. Psychol Sci. 2002;13:76–80. doi: 10.1111/1467-9280.00414. [DOI] [PubMed] [Google Scholar]
  • 38.Allen D, Banks MS, Norcia AM. Does chromatic sensitivity develop more slowly than luminance sensitivity? Vision Res. 1993;33:2553–62. doi: 10.1016/0042-6989(93)90134-i. [DOI] [PubMed] [Google Scholar]
  • 39.Morrone MC, Burr DC, Fiorentini A. Development of infant contrast sensitivity to chromatic stimuli. Vision Res. 1993;33:2535–52. doi: 10.1016/0042-6989(93)90133-h. [DOI] [PubMed] [Google Scholar]
  • 40.Crognale MA, Kelly JP, Weiss AH, Teller DY. Development of the spatio-chromatic visual evoked potential (VEP): a longitudinal study. Vision Res. 1998;38:3283–92. doi: 10.1016/s0042-6989(98)00074-1. [DOI] [PubMed] [Google Scholar]
  • 41.Dobkins KR, Anderson CM, Kelly J. Development of psychophysically-derived detection contours in L- and M-cone contrast space. Vision Res. 2001;41:1791–807. doi: 10.1016/s0042-6989(01)00070-0. [DOI] [PubMed] [Google Scholar]
  • 42.Brown AM. Development of visual sensitivity to light and color vision in human infants: a critical review. Vision Res. 1990;30:1159–88. doi: 10.1016/0042-6989(90)90173-i. [DOI] [PubMed] [Google Scholar]
  • 43.Lund JS, Holbach SM. Postnatal development of thalamic recipient neurons in the monkey striate cortex: I. Comparison of spine acquisition and dendritic growth of layer 4C alpha and beta spiny stellate neurons. J Comp Neurol. 1991;309:115–28. doi: 10.1002/cne.903090108. [DOI] [PubMed] [Google Scholar]
  • 44.Florence SL, Casagrande VA. Development of geniculocortical axon arbors in a primate. Vis Neurosci. 1990;5:291–309. doi: 10.1017/s0952523800000365. [DOI] [PubMed] [Google Scholar]
  • 45.Nagiv S. Synesthesia in perspective. In: Robertson LC, Sagiv N, editors. Synesthesia: Perspectives from Cognitive Neuroscience. Oxford: Oxford University Press; 2005. pp. 3–10. [Google Scholar]
  • 46.Hubbard EM. Neurophysiology of synesthesia. Curr Psychiatry Rep. 2007;9:193–9. doi: 10.1007/s11920-007-0018-6. [DOI] [PubMed] [Google Scholar]
  • 47.Ramachandran VS, Hubbard EM. Synaesthesia: a window into perception, thought and language. J Consciousness Stud. 2001;8:3–34. [Google Scholar]
  • 48.Rich AN, Bradshaw JL, Mattingley JB. A systematic, large-scale study of synaesthesia: implications for the role of early experience in lexical-colour associations. Cognition. 2005;98:53–84. doi: 10.1016/j.cognition.2004.11.003. [DOI] [PubMed] [Google Scholar]
  • 49.Yaro C, Ward J. Searching for Shereshevskii: what is superior about the memory of synaesthetes? Q J Exp Psychol (Colchester) 2007;60:681–95. doi: 10.1080/17470210600785208. [DOI] [PubMed] [Google Scholar]
  • 50.Ward J, Thompson-Lake D, Ely R, Kaminski F. Synaesthesia, creativity and art: what is the link? Br J Psychol. 2008;99:127–41. doi: 10.1348/000712607X204164. [DOI] [PubMed] [Google Scholar]
  • 51.Hubbard EM, Ramachandran VS. Neurocognitive mechanisms of synesthesia. Neuron. 2005;48:509–20. doi: 10.1016/j.neuron.2005.10.012. [DOI] [PubMed] [Google Scholar]
  • 52.Simner J, Mulvenna C, Sagiv N, Tsakanikos E, Witherby SA, Fraser C, Scott K, Ward J. Synaesthesia: the prevalence of atypical cross-modal experiences. Perception. 2006;35:1024–33. doi: 10.1068/p5469. [DOI] [PubMed] [Google Scholar]
  • 53.Rouw R, Scholte HS. Increased structural connectivity in grapheme-color synesthesia. Nat Neurosci. 2007;10:792–7. doi: 10.1038/nn1906. [DOI] [PubMed] [Google Scholar]
  • 54.Hubbard EM, Arman AC, Ramachandran VS, Boynton GM. Individual differences among grapheme-color synesthetes: brain-behavior correlations. Neuron. 2005;45:975–85. doi: 10.1016/j.neuron.2005.02.008. [DOI] [PubMed] [Google Scholar]
  • 55.Simner J, Harrold J, Creed H, Monro L, Foulkes L. Early detection of markers for synaesthesia in childhood populations. Brain. 2009;132:57–64. doi: 10.1093/brain/awn292. [DOI] [PubMed] [Google Scholar]
  • 56.Mondloch CJ, Maurer D. Do small white balls squeak? Pitch-object correspondences in young children. Cogn Affect Behav Neurosci. 2004;4:133–6. doi: 10.3758/cabn.4.2.133. [DOI] [PubMed] [Google Scholar]
  • 57.Spector F, Maurer D. The colour of Os: naturally biased associations between shape and colour. Perception. 2008;37:841–7. doi: 10.1068/p5830. [DOI] [PubMed] [Google Scholar]
  • 58.Wagner K, Dobkins KR. Shape-color synesthesia in the first year of life: a normal stage of visual development?. To be presented at the Vision Sciences Society annual meeting; May 2009; Naples, Florida. [Google Scholar]
  • 59.Edelman GM. Neural Darwinism: The Theory of Neuronal Group Selection. New York: Basic Books; 1987. [DOI] [PubMed] [Google Scholar]
  • 60.Merigan WH, Maunsell JH. How parallel are the primate visual pathways? Annu Rev Neurosci. 1993;16:369–402. doi: 10.1146/annurev.ne.16.030193.002101. [DOI] [PubMed] [Google Scholar]
  • 61.Galvin SJ, Williams DR, Coletta NJ. The spatial grain of motion perception in human peripheral vision. Vision Res. 1996;36:2283–95. doi: 10.1016/0042-6989(95)00291-x. [DOI] [PubMed] [Google Scholar]
  • 62.Daw NW, Wyatt HJ. Kittens reared in a unidirectional environment: evidence for a critical period. J Physiol. 1976;257:155–70. doi: 10.1113/jphysiol.1976.sp011361. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Cynader M, Chernenko G. Abolition of direction selectivity in the visual cortex of the cat. Science. 1976;193:504–5. doi: 10.1126/science.941025. [DOI] [PubMed] [Google Scholar]
  • 64.Pasternak T, Movshon JA, Merigan WH. Creation of direction selectivity in adult strobe-reared cats. Nature. 1981;292:834–6. doi: 10.1038/292834a0. [DOI] [PubMed] [Google Scholar]
  • 65.Pasternak T, Leinen LJ. Pattern and motion vision in cats with selective loss of cortical directional selectivity. J Neurosci. 1986;6:938–45. doi: 10.1523/JNEUROSCI.06-04-00938.1986. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.White LE, Fitzpatrick D. Vision and cortical map development. Neuron. 2007;56:327–38. doi: 10.1016/j.neuron.2007.10.011. [DOI] [PubMed] [Google Scholar]
  • 67.Clarke S, Innocenti GM. Organization of immature intrahemispheric connections. J Comp Neurol. 1986;251:1–22. doi: 10.1002/cne.902510102. [DOI] [PubMed] [Google Scholar]
  • 68.Innocenti GM, Berbel P, Clarke S. Development of projections from auditory to visual areas in the cat. J Comp Neurol. 1988;272:242–59. doi: 10.1002/cne.902720207. [DOI] [PubMed] [Google Scholar]
  • 69.Catalano SM, Shatz CJ. Activity-dependent cortical target selection by thalamic axons. Science. 1998;281:559–62. doi: 10.1126/science.281.5376.559. [DOI] [PubMed] [Google Scholar]
  • 70.Ghosh A, Shatz CJ. Pathfinding and target selection by developing geniculocortical axons. J Neurosci. 1992;12:39–55. doi: 10.1523/JNEUROSCI.12-01-00039.1992. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Kujala T, Alho K, Kekoni J, Hamalainen H, Reinikainen K, Salonen O, Standertskjold-Nordenstam CG, Naatanen R. Auditory and somatosensory event-related brain potentials in early blind humans. Exp Brain Res. 1995;104:519–26. doi: 10.1007/BF00231986. [DOI] [PubMed] [Google Scholar]
  • 72.Kujala T, Huotilainen M, Sinkkonen J, Ahonen AI, Alho K, Hamalainen MS, Ilmoniemi RJ, Kajola M, Knuutila JE, Lavikainen J, et al. Visual cortex activation in blind humans during sound discrimination. Neurosci Lett. 1995;183:143–6. doi: 10.1016/0304-3940(94)11135-6. [DOI] [PubMed] [Google Scholar]
  • 73.Sadato N, Pascual-Leone A, Grafman J, Ibanez V, Deiber MP, Dold G, Hallett M. Activation of the primary visual cortex by Braille reading in blind subjects. Nature. 1996;380:526–8. doi: 10.1038/380526a0. [DOI] [PubMed] [Google Scholar]
  • 74.Levanen S, Jousmaki V, Hari R. Vibration-induced auditory-cortex activation in a congenitally deaf adult. Curr Biol. 1998;8:869–72. doi: 10.1016/s0960-9822(07)00348-x. [DOI] [PubMed] [Google Scholar]
  • 75.Weeks R, Horwitz B, Aziz-Sultan A, Tian B, Wessinger CM, Cohen LG, Hallett M, Rauschecker JP. A positron emission tomographic study of auditory localization in the congenitally blind. J Neurosci. 2000;20:2664–72. doi: 10.1523/JNEUROSCI.20-07-02664.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Finney EM, Fine I, Dobkins KR. Visual stimuli activate auditory cortex in the deaf. Nat Neurosci. 2001;4:1171–3. doi: 10.1038/nn763. [DOI] [PubMed] [Google Scholar]
  • 77.Finney EM, Clementz BA, Hickok G, Dobkins KR. Visual stimuli activate auditory cortex in deaf subjects: evidence from MEG. Neuroreport. 2003;14:1425–7. doi: 10.1097/00001756-200308060-00004. [DOI] [PubMed] [Google Scholar]
  • 78.Rauschecker JP. Compensatory plasticity and sensory substitution in the cerebral cortex. Trends Neurosci. 1995;18:36–43. doi: 10.1016/0166-2236(95)93948-w. [DOI] [PubMed] [Google Scholar]
  • 79.Bavelier D, Neville HJ. Cross-modal plasticity: where and how? Nat Rev Neurosci. 2002;3:443–52. doi: 10.1038/nrn848. [DOI] [PubMed] [Google Scholar]

RESOURCES