activity
20042019
most citedInvariant template matching in systems with spatiotemporal coding: a vote for instability

29 citations · 42 across the 10 of their papers we have counts for

collaborators

10 papers

eess.SP2019

Increasing the Detectability of Phase-Amplitude Coupling

Mojtaba Chehelcheraghi, Chie Nakatani, Cees van Leeuwen

Background: In electrical brain signals such as Local Field Potential (LFP) and Electroencephalogram (EEG), oscillations emerge as a result of neural network activity. The oscillat…

math.DS2015★ 10 cited

Leaders do not look back, or do they?

Alexander N. Gorban, Nick Jarman, Erik Steur +2

We study the effect of adding to a directed chain of interconnected systems a directed feedback from the last element in the chain to the first. The problem is closely related to t…

math.OC2007★ 2 cited

Adaptive classification of temporal signals in fixed-weights recurrent neural networks: an existence proof

Ivan Tyukin, Danil Prokhorov, Cees van Leeuwen

We address the important theoretical question why a recurrent neural network with fixed weights can adaptively classify time-varied signals in the presence of additive noise and pa…

cs.CV2007★ 29 cited

Invariant template matching in systems with spatiotemporal coding: a vote for instability

Ivan Tyukin, Tatiana Tyukina, Cees van Leeuwen

We consider the design of a pattern recognition that matches templates to images, both of which are spatially sampled and encoded as temporal sequences. The image is subject to a c…

math.DS2006★ 1 cited

Non-uniform Small-gain Theorems for Systems with Unstable Invariant Sets

Ivan Tyukin, Erik Steur, Henk Nijmeijer +1

We consider the problem of asymptotic convergence to invariant sets in interconnected nonlinear dynamic systems. Standard approaches often require that the invariant sets be unifor…

math.OC2006

Decentralized adaptation in interconnected uncertain systems with nonlinear parametrization

Ivan Tyukin, Cees van Leeuwen

We propose a technique for the design and analysis of decentralized adaptation algorithms in interconnected dynamical systems. Our technique does not require Lyapunov stability of…