Neural field theory of the corticothalamic system is used to analyze nonlinear wave-wave interactions in sleep and wake states and steady state visual evoked potential responses. The nonlinear power spectrum is analytically calculated by convolving the linear power spectrum with itself and other factors. Analysis shows that strong spectral peaks generate a harmonic at twice the original frequency with peak power proportional to the square of that of the original peak. Periodic sine and square wave stimuli are used to generate steady state visual evoked potential responses and to study stimulus-driven nonlinear corticothalamic dynamic interactions. Dual sine drives are then used to analyze the driven dynamics more clearly, without the compli...
Steady state visual evoked potentials (SSVEPs) are steady state oscillatory potentials elicited in t...
The developments in nonlinear dynamics and the theory of chaos have considerably altered our percept...
This thesis was focused on theoretical models of synchronization to cortical dynamics as measured by...
Various types of brain activity, including motor, visual, and language, are accompanied by the propa...
Biophysical processes related to the modulation of cellular mechanisms occur due to either presynapt...
Objective: This paper introduces a generalized coherence framework for detecting and characterizing ...
Objective: This paper introduces the Cross-frequency Amplitude Transfer Function (CATF), a model-fre...
This paper introduces the Cross-frequency Amplitude Transfer Function (CATF), a model-free method fo...
A neural field model with different activation and inhibition connectivity and response functions is...
Although nonlinear dynamics have been mastered by physicists and mathematicians for a long time (as ...
This thesis has examined nonlinear signal summation using a combination of EEG and computational mod...
Many complex and interesting phenomena in nature are due to nonlinear phenomena. The theory of nonli...
The human brain exhibits complex spatiotemporal dynamics at multiple scales. On length scales of a f...
Relatively little is known about the processes, both linear and nonlinear, by which signals are comb...
A set of nonlinear continuum field equations is presented which describes the dynamics of neural act...
Steady state visual evoked potentials (SSVEPs) are steady state oscillatory potentials elicited in t...
The developments in nonlinear dynamics and the theory of chaos have considerably altered our percept...
This thesis was focused on theoretical models of synchronization to cortical dynamics as measured by...
Various types of brain activity, including motor, visual, and language, are accompanied by the propa...
Biophysical processes related to the modulation of cellular mechanisms occur due to either presynapt...
Objective: This paper introduces a generalized coherence framework for detecting and characterizing ...
Objective: This paper introduces the Cross-frequency Amplitude Transfer Function (CATF), a model-fre...
This paper introduces the Cross-frequency Amplitude Transfer Function (CATF), a model-free method fo...
A neural field model with different activation and inhibition connectivity and response functions is...
Although nonlinear dynamics have been mastered by physicists and mathematicians for a long time (as ...
This thesis has examined nonlinear signal summation using a combination of EEG and computational mod...
Many complex and interesting phenomena in nature are due to nonlinear phenomena. The theory of nonli...
The human brain exhibits complex spatiotemporal dynamics at multiple scales. On length scales of a f...
Relatively little is known about the processes, both linear and nonlinear, by which signals are comb...
A set of nonlinear continuum field equations is presented which describes the dynamics of neural act...
Steady state visual evoked potentials (SSVEPs) are steady state oscillatory potentials elicited in t...
The developments in nonlinear dynamics and the theory of chaos have considerably altered our percept...
This thesis was focused on theoretical models of synchronization to cortical dynamics as measured by...