Intermodulation from Unisensory to Multisensory Perception: A Review
Abstract
:1. Introduction
2. Definitions of IMs
2.1. Time and Frequency Domains
2.2. Example of IMs
2.3. The Order of IMs and Its Role in Cognition
3. Modeling for Neural Interaction Processing
4. IMs for Multisensory Perception
4.1. IMs Studies of Multisensory Perception
4.2. IMs in the Spatial and Temporal Rules of Multisensory Perception
4.3. The Role of IMs in the Relationship between Multisensory Perception and Attention
4.4. The Role of IMs in the Diagnosis of Pathology by Brain–Computer Interface (BCI)
5. Limitations and Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Function | Description | Basis of Neural Processing | Output-IMs | Comment |
---|---|---|---|---|
2 | A single input signal is processed linearly | Neurons transmit signals linearly | Fundamental frequency | Linear processing of signal cannot yield harmonics and IMs |
Nonlinear half rectification of a single signal | Neuron firing rate is selectively inhibited to 0 | Fundamental frequency and 2nd order harmonics | Nonlinear processing of a single signal yields harmonics | |
Two signals are first half rectified and then added | Nonlinear processing of multiple parallel signals | Fundamental frequency and 2nd order harmonics | Nonlinear processing of multiple signals without interaction terms cannot yield IMs | |
Two signals are first half rectified and then multiplied | Nonlinear Sequence Processing of Multiple Serial Signals | Fundamental frequency, 2nd order harmonics, 2nd order IM and 3rd order IM | Nonlinear processing of multiple signals with interaction terms yields IMs | |
Nonlinear half squaring of a single signal | Neuron firing rate is selectively inhibited to 0 | Fundamental frequency | ||
Two signals processed to half squaring nonlinearity and then added | Nonlinear processing of multiple parallel signals | Fundamental frequency and 2nd order harmonics | ||
Two signals processed to half squaring nonlinearity and multiplied | Nonlinear Sequence Processing of Multiple Serial Signals | Fundamental frequency, 2nd order harmonics and 2nd order IM | ||
Nonlinear square wave of a single signal | Output of ON/OFF neurons | Fundamental frequency, 3rd order harmonics and 5th order harmonics | ||
Two signals processed to squaring wave and then added | Nonlinear processing of multiple parallel signals | Fundamental frequency, 3rd order harmonics and 5th order harmonics | ||
Two signals processed to squaring wave and then multiplied | Nonlinear Sequence Processing of Multiple Serial Signals | All IMs (low-order and high-order IM) | The interaction of square wave signals can generate many IMs | |
Sum of the two signals as the input of logistic function | Sum of multiple neuron signals as input for logical selection | Fundamental frequency and 3rd order IM | ||
Difference of the two signals as the input of logistic function | Difference of neuron signals as input for logical selection | Fundamental frequency and 3rd order IM |
Model ID | Model Function |
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Model 1 | |
Model 2 | |
Model 3 | |
Model 4 | |
Model 5 | |
Model 6 |
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Xu, S.; Zhou, X.; Chen, L. Intermodulation from Unisensory to Multisensory Perception: A Review. Brain Sci. 2022, 12, 1617. https://doi.org/10.3390/brainsci12121617
Xu S, Zhou X, Chen L. Intermodulation from Unisensory to Multisensory Perception: A Review. Brain Sciences. 2022; 12(12):1617. https://doi.org/10.3390/brainsci12121617
Chicago/Turabian StyleXu, Shen, Xiaolin Zhou, and Lihan Chen. 2022. "Intermodulation from Unisensory to Multisensory Perception: A Review" Brain Sciences 12, no. 12: 1617. https://doi.org/10.3390/brainsci12121617