Precise-Spike-Driven Synaptic Plasticity for Hetero Association of Spatiotemporal Spike Patterns
This chapter introduces a new temporal learning rule, namely the Precise-Spike-Driven (PSD) Synaptic Plasticity, for processing and memorizing spatiotemporal patterns. PSD is a supervised learning rule that is analytically derived from the traditional Widrow-Hoff (WH) rule and can be used to train neurons to associate an input spatiotemporal spike pattern with a desired spike train. Synaptic adaptation is driven by the error between the desired and the actual output spikes, with positive errors causing long-term potentiation and negative errors causing long-term depression. The amount of modification is proportional to an eligibility trace that is triggered by afferent spikes. The PSD rule is both computationally efficient and biologically plausible. The properties of this learning rule are investigated extensively through experimental simulations, including its learning performance, its generality to different neuron models, its robustness against noisy conditions, its memory capacity, and the effects of its learning parameters.
KeywordsAfferent Neuron Spike Train Neuron Model Learning Rule Training Epoch
- 7.Knudsen, E.I.: Supervised learning in the brain. J. Neurosci. 14(7), 3985–3997 (1994)Google Scholar
- 13.Ponulak, F.: ReSuMe-new supervised learning method for spiking neural networks. Institute of Control and Information Engineering, Poznoń University of Technology, Technical report (2005)Google Scholar
- 14.Florian, R.V.: The chronotron: a neuron that learns to fire temporally precise spike patterns. PLoS One 7(8), e40,233 (2012)Google Scholar
- 15.Mohemmed, A., Schliebs, S., Matsuda, S., Kasabov, N.: SPAN: spike pattern association neuron for learning spatio-temporal spike patterns. Int. J. Neural Syst. 22(04), 1250,012 (2012)Google Scholar
- 26.Ngezahayo, A., Schachner, M., Artola, A.: Synaptic activity modulates the induction of bidirectional synaptic changes in adult mouse hippocampus. J. Neurosci. 20(7), 2451–2458 (2000)Google Scholar