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A learning algorithm for oscillatory cellular neural networks

C.Y. Ho, H. Kurokawa
1999 Neural Networks  
We present a cellular type oscillatory neural network for temporal segregation of stationary input patterns.  ...  Neural Networks NN 1322 0893-6080/99/$ -see front matter ᭧  ...  This project was supported in part by CityU strategic grant 7000749-570.  ... 
doi:10.1016/s0893-6080(99)00035-0 pmid:12662659 fatcat:zhzmkghct5dflgflbjgy5fjqze

Emergent dynamics in delayed attractive-repulsively coupled networks [article]

Prosenjit Kundu, Lekha Sharma, Mauparna Nandan, Dibakar Ghosh, Chittaranjan Hens, Pinaki Pal
2019 arXiv   pre-print
Using the reduced model, we investigate the effect of time delay on these transitions and demarcate OS, AD and OD regimes in the parameter space.  ...  Based on clustering behavior observed in oscillatory network we derive a reduced low-dimensional model of the large network.  ...  Using the reduced order model, we investigate the effect of time delay on the transition from AD to OD in the network and then demarcate the oscillatory, AD and OD regimes in the parameter space quite  ... 
arXiv:1901.03563v1 fatcat:xbnivptxkzenpnboejviiqnu4y

Research on Differential Brain Networks before and after WM Training under Different Frequency Band Oscillations

Yin Tian, Huishu Zhou, Huiling Zhang, Tianhao Li, Rubin Wang
2021 Neural Plasticity  
beta oscillatory synchronization in the temporoparietal and frontoparietal regions may indicate active memory maintenance and preparation for memory-guided attention.  ...  synchronization in the frontoparietal and fronto-occipital regions may reflect the enhanced ability to suppress irrelevant information during the delay and pay attention to memory guidance; the enhanced  ...  In the delayed WM matching task, the speed-accuracy tradeoff problem arose. Therefore, we used signed residual time (SRT) for the subject's performance score [34] .  ... 
doi:10.1155/2021/6628021 pmid:33824657 pmcid:PMC8007374 fatcat:xzl4yj6ouzhvjaabebyrdykv5q

Page 221 of Neural Computation Vol. 4, Issue 2 [page]

1992 Neural Computation  
Our model shows complete synchronization, in the sense that all neu- rons fire at the same time.  ...  Simple Network Showing Burst Synchronization 221 size effect.  ... 

Weakly Connected Oscillatory Networks for Information Processing [chapter]

Michele Bonnin, Fernando Corinto, Marco Gilli
2011 Bio-Inspired Computing and Networking  
Oscillatory nonlinear networks represent a circuit architecture for image and information processing.  ...  In particular synchronous and/or entrained states can be exploited for dynamic pattern recognition and to realize associative and dynamic memories.  ...  Although delay effects leading to an oscillatory behavior have been well known for long time, especially in radio engineering sciences, only in recent time it was emphasized that delay induced instabilities  ... 
doi:10.1201/b10781-21 fatcat:w5pszvw7j5gnnhbgvkv5zgyaem

A Simple Network Showing Burst Synchronization without Frequency Locking

Christof Koch, Heinz Schuster
1992 Neural Computation  
The dynamic behavior of a network model consisting of all-to-all excitatory coupled binary neurons with global inhibition is studied analytically and numerically.  ...  We prove that for random input signals, the output of the network consists of synchronized bursts with apparently random intermissions of noisy activity.  ...  Our model shows complete synchronization, in the sense that all neurons fire at the same time.  ... 
doi:10.1162/neco.1992.4.2.211 fatcat:r4wbmwqwovfmpfpp2heohgyyh4

Oscillation and coding in a formal neural network considered as a guide for plausible simulations of the insect olfactory system

Ginette Horcholle-Bossavit, Brigitte Quenet, Olivier Foucart
2007 Biosystems (Amsterdam. Print)  
For the analysis of coding mechanisms in the insect olfactory system, a fully connected network of synchronously updated McCulloch and Pitts neurons (MC-P type) was developed (Quenet and Horn, 2003) .  ...  In a second step, we construct a new type of DNF in order to study the population dynamics when different delays are taken into account.  ...  For a large majority of points, the network is in an oscillatory state. D: Contour maps of the number of oscillating units in the stochastic network illustrated in B.  ... 
doi:10.1016/j.biosystems.2006.04.022 pmid:17316971 fatcat:xwa3oqlum5alpkzm4yj3slpzry

Genetic oscillators in development

Koichiro Uriu
2016 Development, Growth and Differentiation  
In development, morphogenetic processes are strictly coordinated in time. Cells in a developing tissue would need mechanisms for time-keeping.  ...  Oscillatory gene expression can be generated by transcriptional/translational feedback loops, usually referred to as a genetic oscillator.  ...  A recently engineered Delta-Notch positive feedback loop demonstrated that the positive feedback is indeed sufficient to induce binary cell fate decisions They considered time delays in the intercellular  ... 
doi:10.1111/dgd.12262 pmid:26753997 fatcat:opwjszh6z5g45hoqfihjyjrdha

Insights into the Dynamics of Coupled VO2 Oscillators for ONNs

Juan Nunez, Jose M. Quintana, Maria J. Avedillo, Manuel Jimenez, Aida Todri-Sanial, Elisabetta Corti, Siegfried Karg, Bernabe Linares-Barranco
2021 IEEE Transactions on Circuits and Systems - II - Express Briefs  
Secondly, such oscillatory networks are based on frequency synchronization, in which the impact of variability is critical.  ...  In particular, VO 2 based nano-oscillators have been proposed to implement oscillatory neural networks that can serve as associative memories, useful in pattern recognition applications.  ...  R C plot for settling time. In-phase synchronization is faster than out of phase synchronization. Settling time increases for smaller coupling strength and smaller initialization delay.  ... 
doi:10.1109/tcsii.2021.3085133 fatcat:5aw2kou6qnhijff5al56rljhva

Perceiving geometric patterns: from spirals to inside-outside relations

Ke Chen, DeLiang Wang
2001 IEEE Transactions on Neural Networks  
We propose a solution to both problems based on oscillatory correlation using a time-delay network.  ...  Our simulation results are qualitatively consistent with human performance, and we interpret human limitations in terms of synchrony and time delays.  ...  Recently, Campbell and Wang studied time delays in networks of relaxation oscillators and analyzed LEGION networks with time delays [4] .  ... 
doi:10.1109/72.950138 pmid:18249936 fatcat:o4waz2pzcvgxrbig4haqfxiw6q

A Cortical Mechanism for Binding in Visual Working Memory

Antonino Raffone, Gezinus Wolters
2001 Journal of Cognitive Neuroscience  
In this article, we present a model based on synchronization and desynchronization of reverberatory neural assemblies, which can parsimoniously account for both the limited capacity of visual working memory  ...  We show how retention of multiple features as visual chunks (feature conjunctions or objects) in terms of synchronized reverberatory assemblies may be achieved with and without long-term memory guidance  ...  We implemented a cortical network model exhibiting oscillatory dynamics in the gamma band, extending to visual working memory previous models of oscillatory based binding in visual perception.  ... 
doi:10.1162/08989290152541430 pmid:11564321 fatcat:5slcivr54fhrrpx2zkpfw3hovq

An oscillatory correlation model of auditory streaming

DeLiang Wang, Peter Chang
2008 Cognitive Neurodynamics  
Several issues are discussed, including how to represent physical time and how to relate shifting synchronization to auditory attention.  ...  The proposed model represents auditory scene analysis by oscillatory correlation, where a perceptual stream corresponds to a synchronized assembly of neural oscillators and different streams correspond  ...  Acknowledgement This research was supported in part by an AFRL grant via Veridian and an AFOSR Grant (FA9550-04-01-0117). We thank Z. Jin for his assistance in figure preparation.  ... 
doi:10.1007/s11571-007-9035-8 pmid:19003469 pmcid:PMC2289253 fatcat:ohqcnycwifbmrim6jnweqmjjny

Nonlinear Speech Processing With Oscillatory Neural Networks For Speaker Segregation

Jean Rouat, Ramin Pichevar
2002 Zenodo  
Publication in the conference proceedings of EUSIPCO, Toulouse, France, 2002  ...  The aforementioned proposed algorithm is implemented as follows: Each neuron in the network is connected to other neurons of the network through discrete-time delays (the maximum neighboring distance of  ...  In addition, our network and its associated weight adaptation rule is well suited to multilevel inputs and is not limited to binary data.  ... 
doi:10.5281/zenodo.53614 fatcat:zysj3ljmuncjhkqa5nbwtxrltq

Scene segmentation using neuromorphic oscillatory networks

J. Cosp, J. Madrenas
2003 IEEE Transactions on Neural Networks  
First, the network is noise tolerant without the need of additional elements and second, delays between oscillators due to the combination of mismatch and output capacitances have to be accounted for network  ...  Extensive experimental results demonstrate that it can properly segment binary images.  ...  This is a characteristic of LEGION oscillatory network.  ... 
doi:10.1109/tnn.2003.816364 pmid:18244577 fatcat:as4eqgc5r5ga3jlbfqgipypr2e

Cortical Network Synchrony Under Applied Electrical Field in vitro

Min D. Tang-Schomer, Taylor Jackvony, Sabato Santaniello
2018 Frontiers in Neuroscience  
Synchronous network activity plays a crucial role in complex brain functions. Stimulating the nervous system with applied electric field (EF) is a common tool for probing network responses.  ...  Group-specific oscillatory patterns were entrained by network-level synchronous oscillations when the alternating EF frequency was increased from 0.2 Hz to 200 kHz.  ...  In addition, our study showed that time varying frequency, but not constant frequency, produced synchronized network activities.  ... 
doi:10.3389/fnins.2018.00630 pmid:30297981 pmcid:PMC6160828 fatcat:bt2sdn3smncy7fdhfycrnxwsfy
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