A Review on Cognitive Computational Neuroscience: Overview, Models, and Applications

Sarishma, Dangi; Sangwan, Sumitra; Tomar, Ravi; Srivastava, Rohit Kant

doi:10.1007/978-3-030-78284-9_10

Cited by 9 publications

(4 citation statements)

References 39 publications

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Section: Resultsmentioning

confidence: 99%

“…Having analyzed, throughout multiple linear regression models, affiliate marketing's effect on CPN customers' engagement, the elaboration of neuroscience implications via cognitive modeling applications takes place (Sarishma et al, 2022), to develop cognitive-based models. This time, the deployment of a cognitive model is based on the need to investigate, through real-time observation, the behavior of CPNs' vulnerable website customers.…”

Section: Cognitive Model Developmentmentioning

confidence: 99%

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Exploring affiliate marketing's impact on customers' brand engagement and vulnerability in the online banking service sector

Σακάς

Giannakopoulos

Trivellas

2023

IJBM

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PurposeThe purpose of this paper is to examine the impact of affiliate marketing strategies as a tool for increasing customers' engagement and vulnerability over financial services. This is attempted by examining the connection between affiliate marketing factors and customers' brand engagement and vulnerability metrics.Design/methodology/approachThe authors developed a three-staged methodological context, based on the 7 most known centralized payment network (CPN) firms' website analytical data, which begins with linear regression analysis, followed by hybrid modeling (agent-based and dynamic models), so as to simulate brand engagement and vulnerability factors' variation in a 180-day period. The deployed context ends by applying the cognitive modeling method of producing heatmaps and facial analysis of CPN websites to the selected 47 vulnerable website customers, for gathering more insights into their brand engagement.FindingsThroughout the simulation results of the study, it becomes clear that a higher number of backlinks and referral domains tend to increase CPN firms' brand-engaged and vulnerable customers.Research limitations/implicationsFrom the simulation modeling process, the implication for backlinks and referral domains as factors that enhance website customers' brand engagement and vulnerability has been highlighted. A higher number of brand-engaged website customers could mean that vulnerable categories of customers would be impacted by CPNs' affiliate marketing. Improving those customers' knowledge of the financial services utility is of utmost importance.Practical implicationsThe outcomes of the research indicate that online banking service providers can increase their customers' engagement with their brands by adopting affiliate marketing techniques. To avoid the increase in customers' vulnerability, marketers should aim to apply affiliate marketing strategies to domains relevant to the provided financial services.Originality/valueThe paper's outcomes provide a new approach to the literature, where the website customer's brand engagement comes out as a valuable metric for estimating online banking sector customers' vulnerability.

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Section: Resultsmentioning

confidence: 99%

Section: Cognitive Model Developmentmentioning

confidence: 99%

Exploring affiliate marketing's impact on customers' brand engagement and vulnerability in the online banking service sector

Σακάς

Giannakopoulos

Trivellas

2023

IJBM

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“…Reaching the cognitive neuromarketing model of the study, the authors aim to evaluate the responses of Decentralized Finance (DeFi) social media profiles' visitors, measured in eye tracking observation, fixations, and gazes' engagement, as well as the expressed emotions [72,73]. The assessment of the social media profile of Binance on Twitter was performed, where 21 participants were put to observe the referred Twitter profile for 30 s, with the usage of a web camera that records their expressions.…”

Section: Cognitive Neuromarketing Modelmentioning

confidence: 99%

Digital Transformation Management of Supply Chain Firms Based on Big Data from DeFi Social Media Profiles

Sakas,

Giannakopoulos,

Terzi

et al. 2023

Electronics

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Emerging technologies in the digital context can favor industrial sector firms in their aim to improve their performance. Digitalization is mainly expressed through the utilization of big data that originate from various sources. Blockchain technology has led to the extended adoption of capitalization of Decentralized Finance (DeFi) services, such as cryptocurrency trade platforms. Supply chain firms, in their quest to exploit any means and collaborations available to promote their services, could place advertisements on DeFi’s social media profiles to boost their financial performance. Social media analytics, as a part of the big data family, are an emerging tool for promoting a firm’s digital transformation, based on the plethora of customer behavioral data they provide. This study aims to examine whether the social media analytics of DeFi platforms are capable of affecting their website visibility, as well as the financial performance of supply chain firms. To do so, the authors collected data from the social media profiles of the most-known DeFi platforms and web analytics from the most significant supply chain firms’ websites. For this purpose, proper statistical analysis, Fuzzy Cognitive Mapping, Hybrid Modeling, and Cognitive Neuromarketing models were adopted. Throughout the present research, it has been discerned that from an increase in the social media analytics of DeFi platforms, their website visibility increases, while the organic and paid traffic costs of supply chain firms decrease. Supply chain firms’ website customers tend to increase at the same time.

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“…The experimental limitations mentioned here are obstacles that can be overcome by modelling. As such, models are used for applications that benefit from a conceptual representation of motor control processes, such as neuroprosthetic devices [19,[23][24][25]. These aim to computationally solve problems that are solved seemingly effortlessly by the human motor control system, such as the redundancy in degrees-of-freedom (DoFs).…”

Section: The Role Of Modelling Approachesmentioning

confidence: 99%

A Simplified Model of Motor Control

Arora

Chakrabarty

2022

Preprint

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In general, control of movement is considered to be either cortical, spinal, or purely biomechanical and is studied separately at these levels. To achieve this separation when studying a particular level, variations that may be introduced by the other levels are generally either ignored or restricted. This restriction misrepresents the way movements occur in realistic scenarios and limits the ability to model movements in a biologically inspired manner. In this work, we propose a heuristic model for motor control that conceptually and mathematically accounts for the entire motor process, from target to endpoint. It simulates human arm motion and is able to represent functionally different motion properties by flexibly choosing more or less complex motion paths without built-in optimization or joint constraints. With a novel implementation of hierarchical control, this model successfully overcomes the problem of degrees of freedom in robotics. It can serve as a template for neurocomputational work that currently uses control architectures that do not mirror the human motor control process. The model itself also suggests a maximum threshold for delays in position feedback for effective movement, and that the primary role of position feedback in movement is to overcome the effects of environmental perturbations at the joint level. These findings can inform future efforts to develop biologically inspired motor control techniques for prosthetic devices.

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A Review on Cognitive Computational Neuroscience: Overview, Models, and Applications

Cited by 9 publications

References 39 publications

Exploring affiliate marketing's impact on customers' brand engagement and vulnerability in the online banking service sector

Exploring affiliate marketing's impact on customers' brand engagement and vulnerability in the online banking service sector

Digital Transformation Management of Supply Chain Firms Based on Big Data from DeFi Social Media Profiles

A Simplified Model of Motor Control

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