Nonlinearity in human visual responses to two-dimensional patterns, and a limitation of fourier methods
Reference (12)
- et al.
The orientation and direction selectivity of cells in macaque visual cortex
Vision Res.
(1982) - et al.
Electrophysiological evidence for spatial frequency selective mechanisms in adults and infants
Vision Res.
(1983) - et al.
A re-evaluation of the mechanisms underlying simple cell orientation selectivity
Brain Res.
(1980) - et al.
Receptive fields of simple cells in the cat striate cortex
J. Physiol., Lond.
(1973) L'Integrale de Fourier et ses Applications a l'Optique
(1946)The frequency response of optical systems
Cited by (36)
Competitive interactions in somatosensory cortex for concurrent vibrotactile stimulation between and within hands
2015, Biological PsychologyCitation Excerpt :As reported in Section 1, intermodulation frequencies can be found in the spectrogram when neuronal populations process and integrate information non-linearly from more than one frequency-tagged stimulus (Hou et al., 2003; Regan, 1989; Zemon & Ratliff, 1982, 1984). In the visual domain, intermodulation frequencies have been reported as a robust signal in experimental designs where frequency-tagged stimuli needed or were very likely to be integrated (cf. Appelbaum, Wade, Pettet, Vildavski, & Norcia, 2008; Fuchs et al., 2008; Gundlach & Müller, 2013; Hou et al., 2003; Regan & Regan, 1987). To the best of our knowledge, we report here for the first time the existence of intermodulation frequencies in somatosensory cortex.
Perception of illusory contours forms intermodulation responses of steady state visual evoked potentials as a neural signature of spatial integration
2013, Biological PsychologyCitation Excerpt :For large neuronal populations their specific responses are measurable as intermodulation frequencies in the EEG. Consequently, intermodulation frequencies have been reported as a robust signal in experimental designs where frequency-tagged stimuli needed or were very likely to be integrated (cf. Appelbaum, Wade, Pettet, Vildavski, & Norcia, 2008; Fuchs, Andersen, Gruber, & Müller, 2008; Hou et al., 2003; Regan & Regan, 1987). Here, we tested intermodulation frequencies as a neural signature of information integration provided by the flickering inducers.
Near-real-time feature-selective modulations in human cortex
2013, Current BiologyCitation Excerpt :While these studies show that feature-based attention can mediate evoked responses as early as 90 ms after stimulus [8], none of these studies examined how attention shapes feature-selective population response profiles across time. In addition, EEG/MEG activity patterns have been used to infer, or decode, which stimulus feature a subject is viewing [31, 32]. However, they did not examine the influence of cognitive manipulations on the information content of activity patterns, and decoding methods cannot be easily used to infer how the shape of feature-selective response profiles changes with task demands.
Orientation tuning in the visual cortex of 3-month-old human infants
2011, Vision ResearchCitation Excerpt :These self-responses are also quite variable in the current study, potentially as a result of the normalization process in the analysis. The third component (and most important for determining the VEP tuning bandwidths) of the spectral analysis was the second-order sum IM term (8.41 Hz), which is indicative of a nonlinear interaction between the inputs to a common nonlinear mechanism driven by both stimuli (Regan & Regan, 1987). A two-way analysis of variance (ANOVA) for the sum frequency was performed with orientation offset (0°, 3°, 5°, 7°, 15°, 30°, 90°) as the within subjects factor and group (Infants 1 cpd, Adults 1 cpd, Adults 5 cpd, and Adults 5 cpd scaled) as the between subjects factor.
Some early uses of evoked brain responses in investigations of human visual function
2009, Vision ResearchEvoked potentials: Recording methods
2009, Encyclopedia of Neuroscience