Acetylcholine and learning in a cortical associative memory
Neural Computation
Stable and rapid recurrent processing in realistic autoassociative memories
Neural Computation
Spiking Neuron Models: An Introduction
Spiking Neuron Models: An Introduction
Hebbian imprinting and retrieval in oscillatory neural networks
Neural Computation
Computational theories on the function of theta oscillations
Biological Cybernetics
Polychronization: Computation with Spikes
Neural Computation
What Can a Neuron Learn with Spike-Timing-Dependent Plasticity?
Neural Computation
Dynamic Brain - from Neural Spikes to Behaviors
Dynamics and storage capacity of neural networks with small-world topology
Proceedings of the 2011 conference on Neural Nets WIRN10: Proceedings of the 20th Italian Workshop on Neural Nets
A model for complex sequence learning and reproduction in neural populations
Journal of Computational Neuroscience
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We study the collective dynamics of a Leaky Integrate and Fire network in which precise relative phase relationship of spikes among neurons are stored, as attractors of the dynamics, and selectively replayed at different time scales. Using an STDP-based learning process, we store in the connectivity several phase-coded spike patterns, and we find that, depending on the excitability of the network, different working regimes are possible, with transient or persistent replay activity induced by a brief signal. We introduce an order parameter to evaluate the similarity between stored and recalled phase-coded pattern, and measure the storage capacity. Modulation of spiking thresholds during replay changes the frequency of the collective oscillation or the number of spikes per cycle, keeping preserved the phases relationship. This allows a coding scheme in which phase, rate and frequency are dissociable. Robustness with respect to noise and heterogeneity of neurons parameters is studied, showing that, since dynamics is a retrieval process, neurons preserve stable precise phase relationship among units, keeping a unique frequency of oscillation, even in noisy conditions and with heterogeneity of internal parameters of the units.