35 research outputs found
Memristive excitable cellular automata
The memristor is a device whose resistance changes depending on the polarity
and magnitude of a voltage applied to the device's terminals. We design a
minimalistic model of a regular network of memristors using
structurally-dynamic cellular automata. Each cell gets info about states of its
closest neighbours via incoming links. A link can be one 'conductive' or
'non-conductive' states. States of every link are updated depending on states
of cells the link connects. Every cell of a memristive automaton takes three
states: resting, excited (analog of positive polarity) and refractory (analog
of negative polarity). A cell updates its state depending on states of its
closest neighbours which are connected to the cell via 'conductive' links. We
study behaviour of memristive automata in response to point-wise and spatially
extended perturbations, structure of localised excitations coupled with
topological defects, interfacial mobile excitations and growth of information
pathways.Comment: Accepted to Int J Bifurcation and Chaos (2011
Phenomenology of retained refractoriness: On semi-memristive discrete media
We study two-dimensional cellular automata, each cell takes three states:
resting, excited and refractory. A resting cell excites if number of excited
neighbours lies in a certain interval (excitation interval). An excited cell
become refractory independently on states of its neighbours. A refractory cell
returns to a resting state only if the number of excited neighbours belong to
recovery interval. The model is an excitable cellular automaton abstraction of
a spatially extended semi-memristive medium where a cell's resting state
symbolises low-resistance and refractory state high-resistance. The medium is
semi-memristive because only transition from high- to low-resistance is
controlled by density of local excitation. We present phenomenological
classification of the automata behaviour for all possible excitation intervals
and recovery intervals. We describe eleven classes of cellular automata with
retained refractoriness based on criteria of space-filling ratio, morphological
and generative diversity, and types of travelling localisations
Memristive Learning Cellular Automata: Theory and Applications
Memristors are novel non volatile devices that manage to combine storing and
processing capabilities in the same physical place.Their nanoscale dimensions
and low power consumption enable the further design of various nanoelectronic
processing circuits and corresponding computing architectures, like
neuromorhpic, in memory, unconventional, etc.One of the possible ways to
exploit the memristor's advantages is by combining them with Cellular Automata
(CA).CA constitute a well known non von Neumann computing architecture that is
based on the local interconnection of simple identical cells forming
N-dimensional grids.These local interconnections allow the emergence of global
and complex phenomena.In this paper, we propose a hybridization of the CA
original definition coupled with memristor based implementation, and, more
specifically, we focus on Memristive Learning Cellular Automata (MLCA), which
have the ability of learning using also simple identical interconnected cells
and taking advantage of the memristor devices inherent variability.The proposed
MLCA circuit level implementation is applied on optimal detection of edges in
image processing through a series of SPICE simulations, proving its robustness
and efficacy
Chemical Wave Computing from Labware to Electrical Systems
Unconventional and, specifically, wave computing has been repeatedly studied in laboratory based experiments by utilizing chemical systems like a thin film of Belousov–Zhabotinsky (BZ) reactions. Nonetheless, the principles demonstrated by this chemical computer were mimicked by mathematical models to enhance the understanding of these systems and enable a more detailedinvestigation of their capacity. As expected, the computerized counterparts of the laboratory based experiments are faster and less expensive. A further step of acceleration in wave-based computingis the development of electrical circuits that imitate the dynamics of chemical computers. A key component of the electrical circuits is the memristor which facilitates the non-linear behavior of the chemical systems. As part of this concept, the road-map of the inspiration from wave-based computing on chemical media towards the implementation of equivalent systems on oscillating memristive circuits was studied here. For illustration reasons, the most straightforward example was demonstrated, namely the approximation of Boolean gates
INTERACTIVE MUSICAL BIOCOMPUTER: AN UNCONVENTIONAL APPROACH TO RESEARCH IN UNCONVENTIONAL COMPUTING
Vol 28, Nr. 1, pp. 7-2