Results 101 to 110 of about 20,266 (306)
, 2006 A behavioral nonlinear dynamics model of multistable perception due to ambiguous visual stimuli is presented. The perception state is formalized as the phase variable (order parameter) of a recursive cosinuidal map with the two control parameters μ ...
Fürstenau, Norbert, Norbert Fürstenau
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PSO algorithm enhanced with Lozi Chaotic Map - Tuning experiment [PDF]
, 2015 In this paper it is investigated the effect of tuning of control parameters of the Lozi Chaotic Map employed as a chaotic pseudo-random number generator for the particle swarm optimization algorithm.
Michal Pluhacek +5 more
core +1 more source
Advanced Intelligent Systems, EarlyView.This work presents a bio‐inspired computing framework for Parkinson's disease analog recognition using electroencephalogram signals. Temporally encoded EEG features stimulate a mycelium‐inspired memristive reservoir, where disease‐related patterns emerge through physical spatiotemporal dynamics.
Ioannis K. Chatzipaschalis +5 more
wiley +1 more source
A Type of Delay Feedback Control of Chaotic Dynamics in a Chaotic Neural Network
, 2004 A chaotic neural network consisting of chaotic neurons exhibits such rich dynamical behaviors as nonperiodic associative memory. But it is difficult to distinguish the stored patterns from others, since the chaotic neural network shows chaotic ...
Ogura, Prof. Hisakazu +5 more
core
Dynamic S-BOX using Chaotic Map for VPN Data Security
, 2023 A dynamic SBox using a chaotic map is a cryptography technique that changes the SBox during encryption based on iterations of a chaotic map, adding an extra layer of confusion and security to symmetric encryption algorithms like AES.
Ishaq, Kashif +2 more
core
Stable Neural Signal Recording Processed by Memristor‐Based Reservoir Computing System
Advanced Intelligent Systems, EarlyView.This work introduces a memristor‐based reservoir computing (RC) system for real‐time, energy‐efficient processing of neural signals in brain‐machine interface (BMI). Combined with flexible mesh neural probes with tissue‐like flexibility and subcellular‐scale features that enable consistent, long‐term tracking of single‐cell neural activities, the ...
Soohyeon Kim +10 more
wiley +1 more source
Time‐Delayed Spiking Reservoir Computing Enables Efficient Time Series Prediction
Advanced Intelligent Systems, EarlyView.This study proposes time‐delayed spiking reservoir computing (TDSRC) for efficient time series prediction. By concatenating time‐lagged states, TDSRC constructs an expanded readout feature vector without altering internal reservoir dynamics. This approach enables highly accurate forecasting with significantly fewer neurons, providing a resource ...
Pin Jin +3 more
wiley +1 more source
Chaotic behavior of the fractional cubic map
四川大学学报. 自然科学版In this paper， the chaotic characteristics of fractional cubic map are investigated.Firstly， the fractional differential equation with piecewise constant elements is defined based on the cubic map， the fractional cubic map is obtained by using the ...
GAO Shi-Long, YU Wen-Hui
doaj
Advanced Intelligent Systems, EarlyView.Complex dynamics, often avoided in electromechanical design, can enhance soft robotics. We develop durable magnetic soft actuators operating in tunable dynamic regimes, enabling random number generation, stochastic computing, and time‐series prediction.
Eduardo Sergio Oliveros‐Mata +14 more
wiley +1 more source
Chaotic Hénon–Logistic Map Integration: A Powerful Approach for Safeguarding Digital Images
Journal of Cybersecurity and PrivacyThis paper presents an integrated chaos-based algorithm for image encryption that combines the chaotic Hénon map and chaotic logistic map (CLM) to enhance the security of digital image communication. The proposed method leverages chaos theory to generate
Abeer Al-Hyari +3 more
doaj +1 more source