Weakly connected neural networks
Weakly connected neural networks
Synaptic delay learning in pulse-coupled neurons
Neural Computation
Simple model of spiking neurons
IEEE Transactions on Neural Networks
Which model to use for cortical spiking neurons?
IEEE Transactions on Neural Networks
Phase Transition and Hysteresis in an Ensemble of Stochastic Spiking Neurons
Neural Computation
Delay learning and polychronization for reservoir computing
Neurocomputing
Anatomy of a cortical simulator
Proceedings of the 2007 ACM/IEEE conference on Supercomputing
Discussion on the Spike Train Recognition Mechanisms in Neural Circuits
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part IV: ICCS 2007
Self-organized Complex Neural Networks through Nonlinear Temporally Asymmetric Hebbian Plasticity
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I
The InfoPhase Method or How to Read Neurons with Neurons
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part II
Neural Computation
Competitive stdp-based spike pattern learning
Neural Computation
Learning of spatio-temporal codes in a coupled oscillator system
IEEE Transactions on Neural Networks
Algorithms for Structural and Dynamical Polychronous Groups Detection
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part II
Self-organized spiking neural network recognizing phase/frequency correlations
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Efficient simulation of large-scale spiking neural networks using CUDA graphics processors
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Model this! seven empirical phenomena missing in the models of cortical oscillatory dynamics
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
A model of computation and representation in the brain
Information Sciences: an International Journal
ICNC'09 Proceedings of the 5th international conference on Natural computation
Development via information self-structuring of sensorimotor experience and interaction
50 years of artificial intelligence
What can AI get from neuroscience?
50 years of artificial intelligence
Self-sustained irregular activity in 2-D small-world networks of excitatory and inhibitory neurons
IEEE Transactions on Neural Networks
Multivariate autoregressive modeling and granger causality analysis of multiple spike trains
Computational Intelligence and Neuroscience - Special issue on signal processing for neural spike trains
Journal of Computational Neuroscience
The neuronal replicator hypothesis
Neural Computation
Persistent activation blobs in spiking neural networks with Mexican hat connectivity
ICAISC'10 Proceedings of the 10th international conference on Artifical intelligence and soft computing: Part II
Performance evaluation and scaling of a multiprocessor architecture emulating complex SNN algorithms
ICES'10 Proceedings of the 9th international conference on Evolvable systems: from biology to hardware
Recognition of partially occluded and rotated images with a network of spiking neurons
IEEE Transactions on Neural Networks
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part III
Auditory-inspired sparse representation of audio signals
Speech Communication
The right delay: detecting specific spike patterns with STDP and axonal conduction delays
ICANNGA'11 Proceedings of the 10th international conference on Adaptive and natural computing algorithms - Volume Part I
Vectorized algorithms for spiking neural network simulation
Neural Computation
Spiking neurons that keep the rhythm
Journal of Computational Neuroscience
Tools for controlled experiments and calibration on living tissues cultures
IWINAC'11 Proceedings of the 4th international conference on Interplay between natural and artificial computation: new challenges on bioinspired applications - Volume Part II
Topos 2: spiking neural networks for bipedal walking in humanoid robots
HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part II
Spatially constrained networks and the evolution of modular control systems
SAB'06 Proceedings of the 9th international conference on From Animals to Animats: simulation of Adaptive Behavior
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part I
ICONIP'06 Proceedings of the 13 international conference on Neural Information Processing - Volume Part I
A model for complex sequence learning and reproduction in neural populations
Journal of Computational Neuroscience
Evolving axonal delay neural networks for robot control
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Information recall using relative spike timing in a spiking neural network
Neural Computation
Detection of M-sequences from spike sequence in neuronal networks
Computational Intelligence and Neuroscience - Special issue on Computational Intelligence in Biomedical Science and Engineering
WCCI'12 Proceedings of the 2012 World Congress conference on Advances in Computational Intelligence
Scalable communications for a million-core neural processing architecture
Journal of Parallel and Distributed Computing
Natural Computing: an international journal
Pair-Associate learning with modulated spike-time dependent plasticity
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part I
Evaluating the effect of spiking network parameters on polychronization
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part I
NeuCube evospike architecture for spatio-temporal modelling and pattern recognition of brain signals
ANNPR'12 Proceedings of the 5th INNS IAPR TC 3 GIRPR conference on Artificial Neural Networks in Pattern Recognition
Learning anticipation through priming in spatio-temporal neural networks
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part I
Characterisation of information flow in an izhikevich network
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part I
Associative memory of phase-coded spatiotemporal patterns in leaky Integrate and Fire networks
Journal of Computational Neuroscience
High-capacity embedding of synfire chains in a cortical network model
Journal of Computational Neuroscience
Nanoscale electronic synapses using phase change devices
ACM Journal on Emerging Technologies in Computing Systems (JETC) - Special issue on memory technologies
Solving the distal reward problem with rare correlations
Neural Computation
Dynamic memory for robot control via delay neural networks
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
Randomly connected networks have short temporal memory
Neural Computation
Spike-timing-dependent construction
Neural Computation
Design for a darwinian brain: part 1. philosophy and neuroscience
Living Machines'13 Proceedings of the Second international conference on Biomimetic and Biohybrid Systems
Spatio-temporal spike pattern classification in neuromorphic systems
Living Machines'13 Proceedings of the Second international conference on Biomimetic and Biohybrid Systems
Neuronal assembly dynamics in supervised and unsupervised learning scenarios
Neural Computation
Lyapunov exponents computation for hybrid neurons
Journal of Computational Neuroscience
Compensating for synaptic loss in Alzheimer's disease
Journal of Computational Neuroscience
Computational Intelligence and Neuroscience
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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 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."