Recanzone, G. H., 409–412, 441, 443 Rectification, 388 Reddy, L., 146, 441 Redundancy detection <strong>and</strong> reduction, 97, 376, 422 Refractory period, 145–146 Reich, D. S., 128, 191n, 441 Reichardt model, 228–229, 239. See also Visual second (<strong>and</strong> third) order motion patterns Reichardt, W., 191, 228, 441 Reid, C., 59, 127, 429, 439 Reinagel, P., 145–146, 441 Rempel, R., 113, 434 Repetition <strong>and</strong> symmetry hearing, temporal repetition but not temporal symmetry, 188 negative minima rule, symmetry, 394 seeing, spatial symmetry but not spatial repetition, 188–189 Repp, B. H., 363n, 442 Resonance frequency. See Vibration modes Reuter, T., 242, 425 Reverberation, 351 Reverse correlation, 29–30, 44–45. See also Spike triggered average stimulus Rieke, F., viii, 17, 25, 61, 99–100, 125–126, 145, 442 Rock, I., viii, 375, 400–403, 442 Rodieck, R. W., 38, 442 Romero, J., 308–309, 442 Rose, J. E., 64, 442 Rosenblum, L. D., 417, 442 Rosenfeld, A., 175, 441 Rotman, Y., 108, 125, 439 Rubin, E., 391, 442 Ruderman, D. L., 116, 118, 134, 331, 433, 442 Rushton, W. A. H., 255, 257, 265, 439 Sachs, A. J., 53, 430 Salach-Golyska, M., 175, 441 Sanocki, T., 403, 442 Sary, G., 90, 442 Schiller, P. H., 54–55, 92, 438 Schlaer, S., 241–244, 433 Schmuckler, M. A., 112, 147–148, 432, 442 Index 463 Schnapf, J., 252, 263, 446 Schreiner, C. E., 73–76, 82–83, 118, 128, 367, 426, 441–442, 444, 446 Schroder, M., 111, 442 Schulte, C. P., 299, 437 Schultz, S. R., 25, 440 Schulz, M., 403, 442 Scott, S., 92, 433 Sejnowski, T. J., 133, 331, 426, 445 Sekiyama, K., 419, 442 Sekular, A. B., 247, 275, 283, 377–379, 432, 439 Sen, K., 37, 81–82, 84–86, 442, 444 Seu, L., 442 Shading, 117 Shadlen, M. N., 216–218, 427 Shamma, S., 73, 74, 76, 80–81, 83–84, 94, 191, 382, 427, 429–430, 432, 436, 438, 443 Shams, L., 8, 408, 443 Shannon, C. E., 98, 443 Shape world models, 299–300 Shapley, R., 42, 244, 443 Sharon, D., 47, 443 Sharpe, L. T., viii, 431 Shaw, R. E., 369, 441 Sheft, S., 169, 447 Shepard, R. N., 26, 197, 374, 443 Shevell, S. K., viii, 443 Shimojo, S., 8, 408, 443 Shipley, T. F., 397–398, 409, 436, 443 Siegel, S. K., 282, 443 Sigala, N., 90, 443 Simon, J. Z., 80–81, 429 Simoncelli, E. P., 109, 133, 150, 443 Simpson, W. A., 280, 443 Singh, M., 393–397, 443 Slutsky, D. A., 411–412, 443 Smaragdis, P., 137, 140, 443 Smeele, P. M. T., 418, 438 Smith, J., 347, 435 Smith, P. H., 193, 439 Snider, R. K., 79, 83, 446 Snowden, R. J., 162, 444 So, R., 360, 434 Sound production, source-filter model, 335–336
464 Index Sparse coding advantages, 130–131 basis functions, 132–134, 132n11 decorrelation <strong>and</strong> elimination of redundancies, 150, 331 derivation of receptive fields of auditory cells, 137–140 derivation of space × orientation receptive fields of visual cells, 134 derivation of space × time receptive fields of visual cells, 134 derivation of receptive fields of complex visual cells, 134–136 description of, 129 independent components analysis, 133–134 inhibitory responses, 144–145 kurtosis, 130 multiresolution representation, 136–140 olfactory sparse coding, 142–145 overcomplete, smoothness, 132–133, 132n12 perception of fractal structure?, 147–149 physiological evidence, effect of non-classical field, 142–147 representation of edges <strong>and</strong> boundaries of objects, 140–142, 326 trade-off between frequency resolution <strong>and</strong> temporal resolution, 139–140 See also Statistical regularities in environment Spatial frequency, 109–110, 207, 209 Spatial ventriloquism compromise between auditory <strong>and</strong> visual position, 411n create spatially separated auditory streams, 412–414 visual spatial information nearly always dominates, 411–412 See also Integrating auditory <strong>and</strong> visual information Spectral centroid, definition of, 350 Specular reflection. See Color reflectance Spehar, B., 223, 428 Speigle, J. M., 319–320, 369, 427 Sperling, G. S., 224–225, 228–234, 239, 428, 438 Spiegel, M., 282–283, 444 Spike triggered average stimulus, 30 calculation of, 30–35 limitations, 34–35 See also Reverse correlation Spitz, L., 414, 430 Square waves, 119 Statistical decision theory, 102–107, 242, 247–248, 272, 281 Statistical independence. See Information theory Statistical regularities in environment 1/f c fractal functions, combination of short-range processes, 111–113 autocorrelation in space in time, 24, 108–109 correlated changes over space <strong>and</strong> time, 108, Fourier analysis, 109–110 goal to maximize information transmission, 107–108, 149–150 implication <strong>and</strong> rationale for power laws, 116–118 is there a match between regularities <strong>and</strong> auditory <strong>and</strong> visual receptive fields?, 116–117, 121–122, 127–129, 149–150 power laws in auditory scenes, distribution of intensity <strong>and</strong> frequency fluctuations, 113–114 power laws in visual scenes amplitude of contrasts, 114–116, 326 temporal variation, 116 variation in illumination, 117–118 scale invariance of images,110, 117, 133, 135, 147 regularities may not be picked up by perceiver, 189 See also Sparse coding Stein, B. E., 407–408, 439, 444 Stevens, E. B., 418, 432 Stiles, W. S., 304, 447 Stone, J. V., 408, 444 Stone, L. S., 208, 444 Stoner, G. R., 208, 234, 423, 444 Storm, E., 360, 438
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PERCEPTUAL COHERENCE
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Perceptual Coherence Hearing and Se
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To My Family, My Parents, and the B
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Preface The purpose of this book is
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Preface ix intertwined with my own
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Contents 1. Basic Concepts 3 2. Tra
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PERCEPTUAL COHERENCE
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1 Basic Concepts In the beginning G
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Basic Concepts 5 sources moving in
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even though its appearance changes.
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sources. A single sound source is t
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straight line parallel to the actua
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continuous sound. The correspondenc
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Basic Concepts 15 overall uncertain
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problem. The “snapshots” in spa
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segments at different orientations.
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in amplitude across time (analogous
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Basic Concepts 23 visual experience
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we would expect the correlation to
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Transformation of Sensory Informati
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Transformation of Sensory Informati
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Table 2.1 Derivation of the Recepti
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Figure 2.7. Continued
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3 Characteristics of Auditory and V
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Information =−Σ. Pr(x i ) log 2
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Characteristics of Auditory and Vis
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valleys” that support the high-fr
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Phase Relationships and Power Laws
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systems to be. One possibility woul
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are most active, relatively large c
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(see figure 2.2 based on the Differ
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epresenting these naturally occurri
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Characteristics of Auditory and Vis
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found in V1. Even though the filter
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Figure 3.14. The independent compon
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Characteristics of Auditory and Vis
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Characteristics of Auditory and Vis
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specific persons or objects (e.g.,
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amplitudes of each picture and foun
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4 The Transition Between Noise (Dis
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more cortical levels. For example,
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The Transition Between Noise and St
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about poorer performance by creatin
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Figure 4.8. Continued The Transitio
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Surface Textures Visual Glass Patte
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The Transition Between Noise and St
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Figure 4.11. Continued The Transiti
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(A) (B) (C) The Transition Between
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The Transition Between Noise and St
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(A) (B) Warbleness The Transition B
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2000 Hz with a single action potent
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The same problem of the multiplicit
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order to create the appearance of s
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Perception of Motion 199 Figure 5.2
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Perception of Motion 201 Figure 5.3
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Perception of Motion 203 together.
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Perception of Motion 205 (The two f
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again, two perceptions can result a
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Perception of Motion 209 Figure 5.6
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Perception of Motion 211 notes of t
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Perception of Motion 213 Braddick (
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larger arrays and Baddeley and Tirp
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Perception of Motion 217 the judgme
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Perception of Motion 219 one color
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To review, neurons sensitive to mot
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Transparency aftereffects do occur
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Perception of Motion 225 stimuli, t
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Perception of Motion 227 Figure 5.1
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Perception of Motion 229 Figure 5.1
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Perception of Motion 231 perception
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Perception of Motion 233 Figure 5.1
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Perception of Motion 235 Figure 5.1
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Perception of Motion 237 same direc
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Time 1, Tone 1 is turned off, at Ti
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6 Gain Control and External and Int
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a signal-to-noise ratio), and Barlo
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Suppose we have a background that h
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R Gain Control and External and Int
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Makous (1997) pointed out how diffi
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contrast that defines the boundarie
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per Second Figure 6.10. Continued G
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ane was linear, the higher sound pr
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(C. D. Geisler, 1998; C. D. Geisler
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noise visual field. 4 The S + N inp
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B. Murray, Bennett, and Sekular (20
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The authors proposed that the four
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Efficiency and Noise in Auditory Pr
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etween samples). Spiegel and Green
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In sum, the masking release is grea
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The Perception of Quality: Visual C
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Visual Worlds Modeling the Light Re
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Indirect Illumination Causing Specu
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of an object but also require the c
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assumed, so that the surface irradi
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Relative Power of Basis Functions S
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that the reflectance of the test co
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amount of light transmitted through
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light reflected by all surfaces in
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magenta to white). Then Bloj et al.
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Why is there opponent processing? O
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8 The Perception of Quality: Audito
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exists at several levels: (a) descr
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mode is proportional to the relativ
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The overall result is that the rela
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obvious. The tension on the vocal c
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(termed the amplitude envelopes) ar
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obviously misplaced). The majority
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Pastore (1991) investigated whether
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experience. Erickson (2003) found t
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Rhythmic patterning usually gives i
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The Perception of Quality: Auditory
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Let me summarize at this point. The
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the oddball note to be the one most
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9 Auditory and Visual Segmentation
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Auditory and Visual Segmentation 37
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processes (e.g., basilar membrane v
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same time, the difficulty of detect
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elease (discussed in chapter 6) dem
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Auditory and Visual Segmentation 38
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(A) Target Rhythm Target + Masking
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to grouping by perceived position d
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filter inferred from the background
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Jackson (1953) found that the sound
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Auditory and Visual Segmentation 41
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