@article{10.1371/journal.pcbi.1000927, doi = {10.1371/journal.pcbi.1000927}, author = {Paik, Se-Bum AND Glaser, Donald A.}, journal = {PLOS Computational Biology}, publisher = {Public Library of Science}, title = {Synaptic Plasticity Controls Sensory Responses through Frequency-Dependent Gamma Oscillation Resonance}, year = {2010}, month = {09}, volume = {6}, url = {https://doi.org/10.1371/journal.pcbi.1000927}, pages = {1-7}, abstract = {Synchronized gamma frequency oscillations in neural networks are thought to be important to sensory information processing, and their effects have been intensively studied. Here we describe a mechanism by which the nervous system can readily control gamma oscillation effects, depending selectively on visual stimuli. Using a model neural network simulation, we found that sensory response in the primary visual cortex is significantly modulated by the resonance between “spontaneous” and “stimulus-driven” oscillations. This gamma resonance can be precisely controlled by the synaptic plasticity of thalamocortical connections, and cortical response is regulated differentially according to the resonance condition. The mechanism produces a selective synchronization between the afferent and downstream neural population. Our simulation results explain experimental observations such as stimulus-dependent synchronization between the thalamus and the cortex at different oscillation frequencies. The model generally shows how sensory information can be selectively routed depending on its frequency components.}, number = {9}, }