Journal ArticleDOI
Spiking neural P systems with request rules
Tao Song,Linqiang Pan +1 more
Reads0
Chats0
TLDR
It is obtained that SN P systems with request rules are Turing universal, even with a small number of neurons, and with 47 neurons such systems can compute any Turing computable function.About:
This article is published in Neurocomputing.The article was published on 2016-06-12. It has received 108 citations till now. The article focuses on the topics: Membrane computing & Computable function.read more
Citations
More filters
Journal ArticleDOI
On Languages Generated by Cell-Like Spiking Neural P Systems
TL;DR: The computational power of cell-like spiking neural P systems as language generators is investigated, and characterization of recursively enumerable languages is obtained when there is no restriction on the number of produced spikes.
Journal ArticleDOI
Cell-Like P Systems With Channel States and Symport/Antiport Rules
TL;DR: It is shown that cell-like P systems with two membranes are as powerful as Turing machines when channel states and symport/antiport rules are suitably combined, and it is proved that the latter are able to compute only finite sets of non-negative integers.
Journal ArticleDOI
Accurate Identification of Cancerlectins through Hybrid Machine Learning Technology
TL;DR: This work provides a basis for the computational identification of cancerlectins and reveals the power of hybrid machine learning techniques in computational proteomics.
Book ChapterDOI
Reversing Steps in Membrane Systems Computations
TL;DR: This paper investigates how to reverse steps in membrane systems computations, and it is shown that the proposed approach enjoy the so called loop lemma, which basically assures that the undoing obtained by reversely applying rules is correct.
Journal ArticleDOI
Identification of Multi-Functional Enzyme with Multi-Label Classifier
TL;DR: This study explores an efficient and effective machine learning method to categorize enzymes according to their function, namely, multi-label classifier, which outperforms state-of-the-art methods in multi-functional enzyme prediction.
References
More filters
Book
Neural network design
TL;DR: This book, by the authors of the Neural Network Toolbox for MATLAB, provides a clear and detailed coverage of fundamental neural network architectures and learning rules, as well as methods for training them and their applications to practical problems.
Book
Spiking Neuron Models: Single Neurons, Populations, Plasticity
TL;DR: A comparison of single and two-dimensional neuron models for spiking neuron models and models of Synaptic Plasticity shows that the former are superior to the latter, while the latter are better suited to population models.
Book
Computation: Finite and Infinite Machines
TL;DR: In this article, the authors present an abstract theory that categorically and systematically describes what all these machines can do and what they cannot do, giving sound theoretical or practical grounds for each judgment, and the abstract theory tells us in no uncertain terms that the machines' potential range is enormous and that its theoretical limitations are of the subtlest and most elusive sort.
BookDOI
Handbook of Formal Languages
Grzegorz Rozenberg,Arto Salomaa +1 more
TL;DR: This first handbook of formal languages gives a comprehensive up-to-date coverage of all important aspects and subareas of the field.
Journal ArticleDOI
Networks of spiking neurons: the third generation of neural network models
TL;DR: It is shown that networks of spiking neurons are, with regard to the number of neurons that are needed, computationally more powerful than other neural network models based on McCulloch Pitts neurons and sigmoidal gates.