This paper introduces the Cross-frequency Amplitude Transfer Function (CATF), a model-free method for quantifying nonlinear stimulus-response interaction based on phase-locked amplitude relationship. The CATF estimates the amplitude transfer from input frequencies at stimulation signal to their harmonics/intermodulation at the response signal. We first verified the performance of CATF in simulation tests with systems containing a static nonlinear function and a linear dynamic, i.e., Hammerstein and Wiener systems. We then applied the CATF to investigate the second-order nonlinear amplitude transfer in the human proprioceptive system from the periphery to the cortex. The simulation demonstrated that the CATF is a general method which can wel...
Patterns in external sensory stimuli can rapidly entrain neuronally generated oscillations observed ...
We present a dynamic causal model that can explain context-dependent changes in neural responses, in...
Contains fulltext : 143490.pdf (Publisher’s version ) (Closed access)It is well es...
Objective: This paper introduces the Cross-frequency Amplitude Transfer Function (CATF), a model-fre...
Objective: This paper introduces a generalized coherence framework for detecting and characterizing ...
Relevance: To enhance our understanding of motor impairments (e.g. post-stroke or due to Parkinson's...
Neural field theory of the corticothalamic system is used to analyze nonlinear wave-wave interaction...
Cortical responses to continuous stimuli as recorded using either magneto- or electroencephalography...
Coupling between cortical oscillations and muscle activity facilitates neuronal communication during...
Neural coupling between the central nervous system and the periphery is essential for the neural con...
The relation between sensory input and neural activity is often complex. In peripheral neurons, suc...
AbstractBackgroundGrowing experimental evidence suggests an important role for cross-frequency coupl...
A method is developed for the analysis of nonlinear biological systems based on an input temporal si...
Joint manipulation elicits a response from the sensors in the periphery which, via the spinal cord, ...
Joint manipulation elicits a response from the sensors in the periphery which, via the spinal cord, ...
Patterns in external sensory stimuli can rapidly entrain neuronally generated oscillations observed ...
We present a dynamic causal model that can explain context-dependent changes in neural responses, in...
Contains fulltext : 143490.pdf (Publisher’s version ) (Closed access)It is well es...
Objective: This paper introduces the Cross-frequency Amplitude Transfer Function (CATF), a model-fre...
Objective: This paper introduces a generalized coherence framework for detecting and characterizing ...
Relevance: To enhance our understanding of motor impairments (e.g. post-stroke or due to Parkinson's...
Neural field theory of the corticothalamic system is used to analyze nonlinear wave-wave interaction...
Cortical responses to continuous stimuli as recorded using either magneto- or electroencephalography...
Coupling between cortical oscillations and muscle activity facilitates neuronal communication during...
Neural coupling between the central nervous system and the periphery is essential for the neural con...
The relation between sensory input and neural activity is often complex. In peripheral neurons, suc...
AbstractBackgroundGrowing experimental evidence suggests an important role for cross-frequency coupl...
A method is developed for the analysis of nonlinear biological systems based on an input temporal si...
Joint manipulation elicits a response from the sensors in the periphery which, via the spinal cord, ...
Joint manipulation elicits a response from the sensors in the periphery which, via the spinal cord, ...
Patterns in external sensory stimuli can rapidly entrain neuronally generated oscillations observed ...
We present a dynamic causal model that can explain context-dependent changes in neural responses, in...
Contains fulltext : 143490.pdf (Publisher’s version ) (Closed access)It is well es...