Dynamical properties of strongly interacting Markov chains
Neural Networks
Fundamental Analysis of a Digital Spiking Neuron for Its Spike-Based Coding
Neural Information Processing
Basic Characteristics and Learning Potential of a Digital Spiking Neuron
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
An Automatic Parameter Adjustment Method of Pulse Coupled Neural Network for Image Segmentation
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I
A novel chaotic spiking neuron and its paralleled spike encoding function
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Combined optic flow optimization method using Pulse-Couple Neural Network
CGIM '07 Proceedings of the Ninth IASTED International Conference on Computer Graphics and Imaging
A novel hybrid spiking neuron: bifurcations, responses, and on-chip learning
IEEE Transactions on Circuits and Systems Part I: Regular Papers
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: theory and algorithms - Volume Part I
A real-time, FPGA based, biologically plausible neural network processor
ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
An evaluation of the image recognition method using pulse coupled neural network
ICANN'11 Proceedings of the 21th international conference on Artificial neural networks - Volume Part I
Original articles: Synchronization of coupled chaotic FitzHugh-Nagumo neurons via Lyapunov functions
Mathematics and Computers in Simulation
Adaptive feedback inhibition improves pattern discrimination learning
ANNPR'06 Proceedings of the Second international conference on Artificial Neural Networks in Pattern Recognition
Multispectral and panchromatic images fusion by adaptive PCNN
MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling
The capacity and the versatility of the pulse coupled neural network in the image matching
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part I
Different synchronization rules in primary and nonprimary auditory cortex of monkeys
Journal of Cognitive Neuroscience
Spike train pattern and firing synchronization in a model of the olfactory mitral cell
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part I
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Synchronization of neural activity has been proposed to code feature linking. This was supported by the discovery of synchronized neural activities. In cat and monkey visual cortex which occurred stimulus dependent either oscillatory (30-100 Hz) or nonrhythmical, internally generated or stimulus dominated. The area in visual space covered by receptive fields of an actually synchronized assembly of neurons was termed the “linking field”. The present paper aims at relating signals of stimulus dependent synchronization and desynchronization, observed by the authors in the visual cortex of monkeys, with models of basic neural circuits explaining the measured signals and extending the authors' former linking field model. The circuits include: (1) a model neuron with the capability of fast mutual spike linking and decoupling which does not degrade the receptive field properties; (2) linking connections for fast synchronization in neighboring assemblies driven by the same stimulus; (3) feedback inhibition in local assemblies via a common interneuron subserving synchronization, desynchronization, and suppression of uncorrelated signals; and (4) common-input connectivity among members of local and distant assemblies supporting zero-delay phase difference in distributed assemblies. Other recently observed cortical effects that potentially support scene segmentation are shortly reviewed to stimulate further ideas for models. Finally, the linking field hypothesis is critically discussed, including contradictory psychophysical work and new supportive neurophysiological evidence