Separating normosmic and anosmic patients based on entropy evaluation of olfactory event-related potentials

Güdücü, Çağdaş; Olcay, B. Orkan; Schäfer, Laura; Aziz, Mohammed; Schriever, Valentin A.; Özgören, Murat; Hummel, Thomas

doi:10.1016/j.brainres.2018.12.012

Cited by 17 publications

(10 citation statements)

References 34 publications

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“…Because of its general applicability, information theory, in particular, has been widely used in neuroscience [812] , [813] , [814] , [815] , [816] , [817] . For instance, these sorts of mathematical tools have extensively used for analyzing data from electroencephalography (EEG), magnetoencephalography (MEG), and functional magnetic resonance imaging (fMRI) [818] , [819] , [820] . These analyses, in turn, quantifies phenomena like encoding (e.g., how much information a neuron provides [821] , [822] ), complex encoding relationships [823] , [824] , [825] , [817] , studies of neural connectivity [826] , [827] , [828] , [829] and sensory encoding [821] , [830] , [831] , [832] .…”

Section: New Aspects In Information Processingmentioning

confidence: 99%

Functional Oxides for Photoneuromorphic Engineering: Toward a Solar Brain

Pérez‐Tomás

2019

Adv Materials Inter

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New device concepts and new computing principles are needed to balance our ever-growing appetite for data and information with the realization of the goals of increased energy efficiency, reduction in CO 2 emissions and the circular economy. Neuromorphic or synaptic electronics is an emerging field of research aiming to overcome the current computer's Von-Neumann bottleneck by building artificial neuronal systems to mimic the extremely energy efficient biological synapses. The introduction of photovoltaic and/or photonic aspects into these neuromorphic architectures will produce self-powered adaptive electronics but may also open up new possibilities in artificial neuroscience, artificial neural communications, sensing and machine learning which would enable, in turn, a new era for computational systems owing to the possibility of attaining high bandwidths with much reduced power consumption. This perspective is focused on recent progress in the implementation of functional oxide thinfilms into photovoltaic and neuromorphic applications towards the envisioned goal of selfpowered photovoltaic neuromorphic systems or a solar brain.

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Section: New Aspects In Information Processingmentioning

confidence: 99%

Functional Oxides for Photoneuromorphic Engineering: Toward a Solar Brain

Pérez‐Tomás

2019

Adv Materials Inter

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“…The key issue would be to achieve a proper signal-to-noise ratio with a reduced number of trials. The literature suggests ERP analysis techniques based on single epoch analysis [ 63 , 65 , 99 ], improving the grand average with a priori knowledge [ 62 , 66 ], time–frequency analysis techniques (i.e., wavelet) [ 100 , 101 ], and Shannon entropy [ 102 ].…”

Section: Challenges and Future Goalsmentioning

confidence: 99%

Assessment and Scientific Progresses in the Analysis of Olfactory Evoked Potentials

et al. 2022

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The human sense of smell is important for many vital functions, but with the current state of the art, there is a lack of objective and non-invasive methods for smell disorder diagnostics. In recent years, increasing attention is being paid to olfactory event-related potentials (OERPs) of the brain, as a viable tool for the objective assessment of olfactory dysfunctions. The aim of this review is to describe the main features of OERPs signals, the most widely used recording and processing techniques, and the scientific progress and relevance in the use of OERPs in many important application fields. In particular, the innovative role of OERPs is exploited in olfactory disorders that can influence emotions and personality or can be potential indicators of the onset or progression of neurological disorders. For all these reasons, this review presents and analyzes the latest scientific results and future challenges in the use of OERPs signals as an attractive solution for the objective monitoring technique of olfactory disorders.

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“…w = r(rmin max * normrnd( ) + σ * randm( )) min (16) where rmin max represent the maximum and minimum of the randomly selected weights, normrnd is the random number and σ equals the bias. Random weight obeys Gaussian distribution, namely w ∼ N(θ, σ).…”

Section: Improved Csmentioning

confidence: 99%

“…First of all, the entropy weight method is used to determine the index weight so as to quantify the estimation and reduce the deviation caused by human factors [16]. SPA is able to describe the internal correlation via connection degree [17].…”

Section: Introductionmentioning

confidence: 99%

Using Improved SPA and ICS-LSSVM for Sustainability Assessment of PV Industry along the Belt and Road

Liang

Wang

2021

Energies

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Scientific and timely sustainability evaluation of the photovoltaic industry along the Belt and Road is of great significance. In this paper, a novel hybrid evaluation model is proposed for accurate and real-time assessment that integrates modified set pair analysis with least squares support vector machine that combines improved cuckoo search algorithm. First, the indicator system is set from five principles, namely economy, politics, society, ecological environment and resources. Then, the traditional approach is established through modifying set pair analysis on the basis of variable fuzzy set coupling evaluation theory. A modern intelligent assessment model is designed that integrates improved cuckoo search algorithm and least squares support vector machine where the concept of random weight is introduced in improved cuckoo search algorithm. In the case analysis, the relative errors calculated by the proposed model all fluctuate in the range of [−3%, 3%], indicating that it has the strongest fitting and learning ability. The empirical analysis verifies the scientificity and precision of the method and points out influencing factors. It provides a new idea for rapid and effective assessment of PV industry along the Belt and Road, as well as assistance for the sustainable development of this industry. This paper innovatively proposes the sustainability evaluation index system and evaluation model for the photovoltaic industry in countries along the Belt and Road, thus contributing to the promotion of sustainable development of the photovoltaic industry in countries along the Belt and Road.

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Separating normosmic and anosmic patients based on entropy evaluation of olfactory event-related potentials

Cited by 17 publications

References 34 publications

Functional Oxides for Photoneuromorphic Engineering: Toward a Solar Brain

Functional Oxides for Photoneuromorphic Engineering: Toward a Solar Brain

Assessment and Scientific Progresses in the Analysis of Olfactory Evoked Potentials

Using Improved SPA and ICS-LSSVM for Sustainability Assessment of PV Industry along the Belt and Road

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