Feedback design of spatially-distributed filters with tunable resolution

Band pass; Distributed filters; Feed-back designs; Feedback loops; Feedback structure; Filter designs; Gain tuning; Temporal stability; Tunables; Tuning rules; Control and Systems Engineering; Modeling and Simulation; Control and Optimization

Abstract :

[en] We derive gain-tuning rules for the positive and negative spatial-feedback loops of a spatially-distributed filter to change the resolution of its spatial band-pass characteristic accordingly to a wavelet zoom, while preserving temporal stability. The filter design is inspired by the canonical spatial feedback structure of the primary visual cortex and is motivated by understanding attentional control of visual resolution. Besides biology, our control-theoretical design strategy is relevant for the development of neuromorphic multiresolution distributed sensors through the feedback interconnection of elementary spatial transfer functions and gain tuning.

Disciplines :

Engineering, computing & technology: Multidisciplinary, general & others

Author, co-author :

Franci, Alessio ; Université de Liège - ULiège > Département d'électricité, électronique et informatique (Institut Montefiore) > Brain-Inspired Computing ; Ciudad Universitaria, National Autonomous University of Mexico, Department of Mathematics, Mexico City, Mexico

Language :

English

Title :

Feedback design of spatially-distributed filters with tunable resolution

Publication date :

2021

Event name :

2021 60th IEEE Conference on Decision and Control (CDC)

Event place :

Austin, Usa

Event date :

13-12-2021 => 17-12-2021

Audience :

International

Main work title :

60th IEEE Conference on Decision and Control, CDC 2021

Publisher :

Institute of Electrical and Electronics Engineers Inc.

ISBN/EAN :

978-1-66543-659-5

Peer reviewed :

Peer reviewed

Additional URL :

http://xplorestaging.ieee.org/ielx7/9682670/9682776/09683140.pdf?arnumber=9683140

Funding text :

This work was supported by UNAM-DGAPA-PAPIIT grant IN102420 and by CONACyT grant A1-S-10610.

Available on ORBi :

since 26 May 2023

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