Temporal decorrelation of collective oscillations in neural networks with local inhibition and long-range excitation. Export

@article{citeulike:5291405, abstract = {We consider two neuronal networks coupled by long-range excitatory interactions. Oscillations in the gamma frequency band are generated within each network by local inhibition. When long-range excitation is weak, these oscillations phase lock with a phase shift dependent on the strength of local inhibition. Increasing the strength of long-range excitation induces a transition to chaos via period doubling or quasiperiodic scenarios. In the chaotic regime, oscillatory activity undergoes fast temporal decorrelation. The generality of these dynamical properties is assessed in firing-rate models as well as in large networks of conductance-based neurons.}, author = {Battaglia, Demian and Brunel, Nicolas and Hansel, David}, citeulike-article-id = {5291405}, citeulike-linkout-0 = {http://view.ncbi.nlm.nih.gov/pubmed/18233419}, citeulike-linkout-1 = {http://www.hubmed.org/display.cgi?uids=18233419}, day = {7}, issn = {0031-9007}, journal = {Physical review letters}, keywords = {collective, dynamical-system, excitatory\_interactions, hodgkin\_huxley, neural-networks, period-doubling, rate\_models}, month = {December}, number = {23}, posted-at = {2009-10-28 05:21:53}, priority = {2}, title = {Temporal decorrelation of collective oscillations in neural networks with local inhibition and long-range excitation.}, url = {http://view.ncbi.nlm.nih.gov/pubmed/18233419}, volume = {99}, year = {2007} }

TY - JOUR ID - citeulike:5291405 L3 - citeulike-article-id:5291405 N2 - We consider two neuronal networks coupled by long-range excitatory interactions. Oscillations in the gamma frequency band are generated within each network by local inhibition. When long-range excitation is weak, these oscillations phase lock with a phase shift dependent on the strength of local inhibition. Increasing the strength of long-range excitation induces a transition to chaos via period doubling or quasiperiodic scenarios. In the chaotic regime, oscillatory activity undergoes fast temporal decorrelation. The generality of these dynamical properties is assessed in firing-rate models as well as in large networks of conductance-based neurons. IS - 23 JF - Physical review letters SN - 0031-9007 TI - Temporal decorrelation of collective oscillations in neural networks with local inhibition and long-range excitation. VL - 99 KW - collective KW - dynamical-system KW - excitatory_interactions KW - hodgkin_huxley KW - neural-networks KW - period-doubling KW - rate_models AU - Battaglia, Demian AU - Brunel, Nicolas AU - Hansel, David PY - 2007/12/07/ UR - http://view.ncbi.nlm.nih.gov/pubmed/18233419 ER -