Polychronization: Computation with Spikes
Neurosciences Institute · John Jay College of Criminal Justice
Abstract
We present a minimal spiking network that can polychronize, that is, 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 code is included. It exhibits sleeplike 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 coexisting polychronous…
Citation impact
- FWCI
- 11.90
- Percentile
- 100%
- References
- 103
Authors
1Topics & keywords
- Computer science
- Millisecond
- Spike-timing-dependent plasticity
- Models of neural computation
- Spiking neural network
- Neuroscience
- Artificial neural network
- Spike (software development)