A biologically motivated and analytically soluble model of collective oscillations in the cortex. I. Theory of weak locking.

@article{citeulike:2852410, abstract = {A model of an associative network of spiking neurons with stationary states, globally locked oscillations, and weakly locked oscillatory states is presented and analyzed. The network is close to biology in the following sense. First, the neurons spike and our model includes an absolute refractory period after each spike. Second, we consider a distribution of axonal delay times. Finally, we describe synaptic signal transmission by excitatory and inhibitory potentials (EPSP and IPSP) with a realistic shape, that is, through a response kernel. During retrieval of a pattern, all active neurons exhibit periodic spike bursts which may or may not be synchronized ('locked') into a coherent oscillation. We derive an analytical condition of locking and calculate the period of collective activity during oscillatory retrieval. In a stationary retrieval state, the overlap assumes a constant value proportional to the mean firing rate of the neurons. It is argued that in a biological network an intermediate scenario of 'weak locking' is most likely.}, address = {Institut f\"{u}r Physik, Technischen Universit\"{a}t M\"{u}nchen, Germany.}, author = {Gerstner, W. and Ritz, R. and van Hemmen, J. L. }, citeulike-article-id = {2852410}, issn = {0340-1200}, journal = {Biological cybernetics}, keywords = {associative-memory, oscillations, spikes, synchrony}, number = {4}, pages = {363--374}, posted-at = {2008-05-31 08:34:25}, priority = {2}, title = {A biologically motivated and analytically soluble model of collective oscillations in the cortex. I. Theory of weak locking.}, url = {http://view.ncbi.nlm.nih.gov/pubmed/8386552}, volume = {68}, year = {1993} }

TY - JOUR ID - citeulike:2852410 L3 - citeulike-article-id:2852410 TI - A biologically motivated and analytically soluble model of collective oscillations in the cortex. I. Theory of weak locking. JF - Biological cybernetics VL - 68 IS - 4 SP - 363 EP - 374 AD - Institut für Physik, Technischen Universität München, Germany. SN - 0340-1200 N2 - A model of an associative network of spiking neurons with stationary states, globally locked oscillations, and weakly locked oscillatory states is presented and analyzed. The network is close to biology in the following sense. First, the neurons spike and our model includes an absolute refractory period after each spike. Second, we consider a distribution of axonal delay times. Finally, we describe synaptic signal transmission by excitatory and inhibitory potentials (EPSP and IPSP) with a realistic shape, that is, through a response kernel. During retrieval of a pattern, all active neurons exhibit periodic spike bursts which may or may not be synchronized ('locked') into a coherent oscillation. We derive an analytical condition of locking and calculate the period of collective activity during oscillatory retrieval. In a stationary retrieval state, the overlap assumes a constant value proportional to the mean firing rate of the neurons. It is argued that in a biological network an intermediate scenario of 'weak locking' is most likely. KW - associative-memory KW - oscillations KW - spikes KW - synchrony AU - Gerstner, W AU - Ritz, R AU - van Hemmen, JL PY - 1993/// UR - http://view.ncbi.nlm.nih.gov/pubmed/8386552 ER -