Polychronization: Computation With Spikes. Export

@article{citeulike:2403514, abstract = {Abstract. We present a minimal spiking network that can polychronize, i.e., exhibit reproducible time-locked but not synchronous firing patterns with millisecond precision, as in synfire braids. The network consists of cortical spiking neurons with axonal conduction delays and spike-timing-dependent plasticity (STDP); a ready-to-use MATLAB program and C++ program code is included. It exhibits sleep-like oscillations, gamma (40 Hz) rhythms, conversion of firing rates to spike-timings, and other interesting regimes. Due to the interplay between the delays and STDP, the spiking neurons spontaneously self-organize into groups and generate patterns of stereotypical polychronous activity. To our surprise, the number of co-existing polychronous groups far exceeds the number of neurons in the network, resulting in an unprecedented memory capacity of the system. We speculate on the significance of polychrony to the theory of neuronal group selection (TNGS, Neural Darwinism), cognitive neural computations, binding and gamma rhythm, mechanisms of attention, and consciousness as "attention to memories".}, author = {Izhikevich, Eugene M.}, citeulike-article-id = {2403514}, citeulike-linkout-0 = {http://http://nsi.edu/users/izhikevich/publications/spnet.pdf}, journal = {Neural Computation}, keywords = {axonal, delay, polychronization}, month = {February}, number = {2}, pages = {245--282}, posted-at = {2008-02-20 14:55:23}, priority = {2}, title = {Polychronization: Computation With Spikes.}, url = {http://http://nsi.edu/users/izhikevich/publications/spnet.pdf}, volume = {18}, year = {2006} }

TY - JOUR ID - citeulike:2403514 L3 - citeulike-article-id:2403514 N2 - Abstract. We present a minimal spiking network that can polychronize, i.e., exhibit reproducible time-locked but not synchronous firing patterns with millisecond precision, as in synfire braids. The network consists of cortical spiking neurons with axonal conduction delays and spike-timing-dependent plasticity (STDP); a ready-to-use MATLAB program and C++ program code is included. It exhibits sleep-like oscillations, gamma (40 Hz) rhythms, conversion of firing rates to spike-timings, and other interesting regimes. Due to the interplay between the delays and STDP, the spiking neurons spontaneously self-organize into groups and generate patterns of stereotypical polychronous activity. To our surprise, the number of co-existing polychronous groups far exceeds the number of neurons in the network, resulting in an unprecedented memory capacity of the system. We speculate on the significance of polychrony to the theory of neuronal group selection (TNGS, Neural Darwinism), cognitive neural computations, binding and gamma rhythm, mechanisms of attention, and consciousness as "attention to memories". IS - 2 JF - Neural Computation EP - 282 TI - Polychronization: Computation With Spikes. VL - 18 SP - 245 KW - axonal KW - delay KW - polychronization AU - Izhikevich, Eugene PY - 2006/02// UR - http://http://nsi.edu/users/izhikevich/publications/spnet.pdf ER -