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Related papers: XOR at a Single Vertex -- Artificial Dendrites

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We propose a new experimentally corroborated paradigm in which the functionality of the brain's logic-gates depends on the history of their activity, e.g. an OR-gate that turns into a XOR-gate over time. Our results are based on an…

Neurons and Cognition · Quantitative Biology 2015-06-15 Roni Vardi , Shoshana Guberman , Amir Goldental , Ido Kanter

By using the memristor's memory to both store a bit and perform an operation with a second input bit, simple Boolean logic gates have been built with a single memristor. The operation makes use of the interaction of current spikes…

Emerging Technologies · Computer Science 2014-02-18 Ella Gale , Ben de Lacy Costello , Andrew Adamatzky

Sophisticated machine learning struggles to transition onto battery-operated devices due to the high-power consumption of neural networks. Researchers have turned to neuromorphic engineering, inspired by biological neural networks, for more…

Neural and Evolutionary Computing · Computer Science 2023-11-23 Daniel John Mannion

The significant role of dendritic processing within neuronal networks has become increasingly clear. This letter explores the effects of including a simple dendrite-inspired mechanism into neuroevolution. The phenomenon of separate dendrite…

Neural and Evolutionary Computing · Computer Science 2021-02-24 Larry Bull

We consider a realization of the XOR logic gate in a system involving two competing biocatalytic reactions, for which the logic-1 output is defined by these two processes causing a change in the optically detected signal. A model is…

Soft Condensed Matter · Physics 2010-11-09 Vladimir Privman , Jian Zhou , Jan Halamek , Evgeny Katz

The spin-dependent localization of electrons in quadruple quantum dots (QD's) has been studied by the configuration interaction method. We have investigated two nanodevices that consist of laterally coupled quadruple QD's. We have shown…

Mesoscale and Nanoscale Physics · Physics 2009-07-16 A. Kwasniowski , J. Adamowski

Dendrites are crucial structures for computation of an individual neuron. It has been shown that the dynamics of a biological neuron with dendrites can be approximated by artificial neural networks (ANN) with deep structure. However, it…

Neurons and Cognition · Quantitative Biology 2023-05-23 Jingyang Ma , Songting Li , Douglas Zhou

Plans for a new type of artificial brain are possible because of realistic neurons in logically structured arrays of controlled toggles, one toggle per neuron. Controlled toggles can be made to compute, in parallel, parameters of critical…

Emerging Technologies · Computer Science 2015-04-20 John Robert Burger

Electronic logic gates are the basic building blocks of every computing and micro controlling system. Logic gates are made of switches, such as diodes and transistors. Ion-selective, ionic switches may emulate electronic switches [1-8]. If…

Chemical Physics · Physics 2017-10-11 Haim Grebel

We present novel models of quantum gates based on coupled quantum dots in which a qubit is regarded as the superposition of ground states in each dot. Coherent control on the qubit is performed by both a frequency and a polarization of a…

Quantum Physics · Physics 2009-11-06 J. H. Oh , D. Ahn , S. W. Hwang

In modern computers, computation is performed by assembling together sets of logic gates. Popular gates like AND, OR, XOR, processing two logic inputs and yielding one logic output, are often addressed as irreversible logic gates where the…

Mesoscale and Nanoscale Physics · Physics 2017-01-16 Miquel Lopez-Suarez , Igor Neri , Luca Gammaitoni

We realize autonomous Boolean networks by using logic gates in their autonomous mode-of-operation on a field-programmable gate array. This allows us to implement time-continuous systems with complex dynamical behaviors that can be…

Adaptation and Self-Organizing Systems · Physics 2013-12-16 David P. Rosin , Damien Rontani , Daniel J. Gauthier , Eckehard Schöll

Artificial intelligence (AI) methods are poised to revolutionize intellectual work, with generative AI enabling automation of text analysis, text generation, and simple decision making or reasoning. The impact to science is only just…

Artificial Intelligence · Computer Science 2024-08-16 Kevin G. Yager

This paper aims at setting the keystone of a prospective theoretical study on the role of non-monotone interactions in biological regulation networks. Focusing on discrete models of these networks, namely, Boolean automata networks, we…

Discrete Mathematics · Computer Science 2011-12-01 Mathilde Noual , Damien Regnault , Sylvain Sené

In contrast to biological neural circuits, conventional artificial neural networks are commonly organized as strictly hierarchical architectures that exclude direct connections among neurons within the same layer. Consequently, information…

Neural and Evolutionary Computing · Computer Science 2025-11-17 Rafiad Sadat Shahir , Zayed Humayun , Mashrufa Akter Tamim , Shouri Saha , Md. Golam Rabiul Alam , Abu Mohammad Khan

The XOR Boolean logic gate is widely used in many applications such as encryption (XOR ciphers), binary addition (half- and full-adders), error detection (parity bits), etc. but is challenging to construct because of its demanding…

Mesoscale and Nanoscale Physics · Physics 2026-03-10 Supriyo Bandyopadhyay

Artificial neural networks are intensively used to perform cognitive tasks such as image classification on traditional computers. With the end of CMOS scaling and increasing demand for efficient neural networks, alternative architectures…

Emerging Technologies · Computer Science 2017-11-29 Damir Vodenicarevic , Nicolas Locatelli , Damien Querlioz

Here we propose four-terminal molecular devices as functional logic gates (AND, NOR and XOR, respectively). Such devices are composed of single organic molecule connected to gold electrodes and located in between gate terminals.…

Mesoscale and Nanoscale Physics · Physics 2007-05-23 Kamil Walczak

The choice of activation functions and their motivation is a long-standing issue within the neural network community. Neuronal representations within artificial neural networks are commonly understood as logits, representing the log-odds…

Machine Learning · Computer Science 2022-11-30 Scott C. Lowe , Robert Earle , Jason d'Eon , Thomas Trappenberg , Sageev Oore

In this paper are presented first results of a theoretical study on the role of non-monotone interactions in Boolean automata networks. We propose to analyse the contribution of non-monotony to the diversity and complexity in their…

Formal Languages and Automata Theory · Computer Science 2012-08-15 Mathilde Noual , Damien Regnault , Sylvain Sené
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