Decentralized synchronization protocols with nearest neighbor communication
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
2005 Special Issue: Rich dynamics of pulse-coupled spiking neurons with a triangular base signal
Neural Networks - 2005 Special issue: IJCNN 2005
On the scalability of cooperative time synchronization in pulse-connected networks
IEEE/ACM Transactions on Networking (TON) - Special issue on networking and information theory
Proceedings of the 2008 ACM symposium on Applied computing
Phase Patterns of Coupled Oscillators with Application to Wireless Communication
Bio-Inspired Computing and Communication
A synchronization metric for meshed networks of pulse-coupled oscillators
Proceedings of the 3rd International Conference on Bio-Inspired Models of Network, Information and Computing Sytems
Basic Bifurcation of Artificial Spiking Neurons with Triangular Base Signal
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Artificial Spiking Neurons and Analog-to-Digital-to-Analog Conversion
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Consistency in a Chaotic Spiking Oscillator
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly
From fireflies to fault-tolerant swarms of robots
IEEE Transactions on Evolutionary Computation
A Pulse-Coupled Network of SOM
ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part II
Biologically inspired intercellular slot synchronization
EURASIP Journal on Wireless Communications and Networking - Special issue on synchronization in wireless communications
Bifurcation and windows in a simple piecewise linear chaotic spiking neuron
ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I
Bifurcation between superstable periodic orbits and chaos in a simple spiking circuit
ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part II
The effects of network delay on tempo in musical performance
Computer Music Journal
Synchronization via multiplex spike-trains in digital pulse coupled networks
ICONIP'06 Proceedings of the 13th international conference on Neural information processing - Volume Part III
A two-variable silicon neuron circuit based on the Izhikevich model
Artificial Life and Robotics
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part I
Neuronal assembly dynamics in supervised and unsupervised learning scenarios
Neural Computation
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We study pulse-coupled neural networks that satisfy only two assumptions: each isolated neuron fires periodically, and the neurons are weakly connected. Each such network can be transformed by a piece-wise continuous change of variables into a phase model, whose synchronization behavior and oscillatory associative properties are easier to analyze and understand. Using the phase model, we can predict whether a given pulse-coupled network has oscillatory associative memory, or what minimal adjustments should be made so that it can acquire memory. In the search for such minimal adjustments we obtain a large class of simple pulse-coupled neural networks that ran memorize and reproduce synchronized temporal patterns the same way a Hopfield network does with static patterns. The learning occurs via modification of synaptic weights and/or synaptic transmission delays