| P50 | author | Peter Neri | Q42326883 |
| P2093 | author name string | Peter Neri | |
| P2860 | cites work | Analyzing receptive fields, classification images and functional images: challenges with opportunities for synergy | Q30478195 |
| | Stochastic model for detection of signals in noise | Q30479521 |
| | Physiological implications of psychophysical data | Q30849451 |
| | A simple model accounts for the response of disparity-tuned V1 neurons to anticorrelated images. | Q34189844 |
| | Retinal processing near absolute threshold: from behavior to mechanism. | Q36041054 |
| | Receptive versus perceptive fields from the reverse-correlation viewpoint | Q36423365 |
| | Evidence for joint encoding of motion and disparity in human visual perception | Q37018555 |
| | Inhibition, spike threshold, and stimulus selectivity in primary visual cortex | Q37096273 |
| | Linear and nonlinear systems analysis of the visual system: why does it seem so linear? A review dedicated to the memory of Henk Spekreijse | Q37251125 |
| | Psychophysical evidence for a non-linear representation of facial identity. | Q37341491 |
| | Classification images with uncertainty | Q37350980 |
| | Comparison of spatial summation properties of neurons in macaque V1 and V2. | Q37416696 |
| | The history of dipper functions | Q37420130 |
| | Visual signal detection in structured backgrounds. II. Effects of contrast gain control, background variations, and white noise | Q39452704 |
| | The combination of filters in early spatial vision: a retrospective analysis of the MIRAGE model | Q41724032 |
| | Frequency and phase contributions to the detection of temporal luminance modulation | Q42614224 |
| | Subcortical representation of non-Fourier image features. | Q43166022 |
| | Hyperefficient detection of targets in noisy images | Q43551858 |
| | The identification of nonlinear biological systems: LNL cascade models. | Q43705313 |
| | How inherently noisy is human sensory processing? | Q43829866 |
| | Nonlinear signal transfer from mouse rods to bipolar cells and implications for visual sensitivity | Q44025653 |
| | Uncertainty explains many aspects of visual contrast detection and discrimination | Q44377124 |
| | Facilitation of contrast detection by cross-oriented surround stimuli and its psychophysical mechanisms | Q44392201 |
| | Classification images for detection, contrast discrimination, and identification tasks with a common ideal observer | Q46127663 |
| | Spatiotemporal mechanisms for detecting and identifying image features in human vision | Q46169909 |
| | Classification image analysis: estimation and statistical inference for two-alternative forced-choice experiments | Q46220653 |
| | Classification images for detection and position discrimination in the fovea and parafovea | Q46793278 |
| | Size matters, but not for everyone: individual differences for contrast discrimination. | Q47351768 |
| | Receptive field organization of complex cells in the cat's striate cortex | Q48155853 |
| | A synaptic explanation of suppression in visual cortex. | Q48448714 |
| | Coincidence-enhanced stochastic resonance: experimental evidence challenges the psychophysical theory behind stochastic resonance. | Q50931121 |
| | Stochastic characterization of small-scale algorithms for human sensory processing. | Q51617994 |
| | Nonlinear characterization of a simple process in human vision. | Q51759407 |
| | A unifying view of wiener and volterra theory and polynomial kernel regression. | Q51930647 |
| | Classification image weights and internal noise level estimation. | Q52018998 |
| | Caricature effects, distinctiveness, and identification: testing the face-space framework. | Q52021265 |
| | Signal detection theory in the 2AFC paradigm: attention, channel uncertainty and probability summation. | Q52073781 |
| | Visual signal detection. III. On Bayesian use of prior knowledge and cross correlation. | Q52265698 |
| | The identification of nonlinear biological systems: Wiener and Hammerstein cascade models. | Q52650944 |
| | Effect of noise correlation on detectability of disk signals in medical imaging. | Q52660604 |
| | Estimation of nonlinear psychophysical kernels. | Q52960251 |
| | Visual Detection and Discrimination of Luminance Increments* | Q53010320 |
| | Visual signal detection. I. Ability to use phase information. | Q53873360 |
| | Letter: Grating contrast: discrimination may be better than detection. | Q54027207 |
| | The efficiency of detecting changes of density in random dot patterns | Q67347573 |
| | Visual signal detection. IV. Observer inconsistency | Q68470694 |
| | Visual sensitivity | Q70041664 |
| | A Wilcoxon-type test for trend | Q70097327 |
| | Visual signal detection. II. Signal-location identification | Q70592612 |
| | Why luminance discrimination may be better than detection | Q70891986 |
| | Efficiency of human visual signal discrimination | Q70924819 |
| | Isolation and interaction of ON and OFF pathways in human vision: pattern--polarity effects on contrast discrimination | Q70985784 |
| | The statistical efficiency for detecting sinusoidal modulation of average dot density in random figures | Q71019648 |
| | The precision of numerosity discrimination in arrays of random dots | Q71054921 |
| | Linearizing: A method for analysing and synthesizing nonlinear systems | Q71680881 |
| | The absolute efficiency of perceptual decisions | Q72431029 |
| | Isolation and interaction of ON and OFF pathways in human vision: contrast discrimination at pattern offset | Q73152185 |
| | Optimal methods for calculating classification images: weighted sums | Q73222389 |
| | Noise reveals visual mechanisms of detection and discrimination | Q73222393 |
| | What limits performance in the amblyopic visual system: seeing signals in noise with an amblyopic brain | Q81290726 |
| | A standard model for foveal detection of spatial contrast | Q81630047 |
| | Classification images predict absolute efficiency | Q81651443 |
| | Effect of large spatial uncertainty on foveal luminance increment detectability | Q93577327 |
| P304 | page(s) | 151 | |
| P577 | publication date | 2010-11-30 | |
| P1433 | published in | Frontiers in Computational Neuroscience | Q15817583 |
| P1476 | title | Visual detection under uncertainty operates via an early static, not late dynamic, non-linearity | |
| P478 | volume | 4 | |