Results 81 to 90 of about 12,295 (240)

Virtual Reality in Marketing: A Framework, Review, and Research Agenda

open access: yesFrontiers in Psychology, 2019
Marketing scholars and practitioners are showing increasing interest in Extended Reality (XR) technologies (XRs), such as virtual reality (VR), augmented reality (AR), and mixed reality (MR), as very promising technological tools for producing ...
Mariano Alcañiz   +2 more
doaj   +1 more source

On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification

open access: yesAdvanced Electronic Materials, EarlyView.
ABSTRACT Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor‐based circuits are particularly promising for RC, as their intrinsic dynamics can reduce network size and parameter overhead in tasks such as time‐series ...
Rishona Daniels   +4 more
wiley   +1 more source

Consumer neuroscience: usability of brain imaging methods in marketing research [PDF]

open access: yes, 2015
Consumer neuroscience (neuromarketing) is an emerging field of marketing research which uses brain imaging techniques to study neural conditions and processes that underlie consumption.
Vainio, Mikael
core  

From Service Quality to Tourist Experience: a Review from SERVQUA to Consumer Neuroscience

open access: yes, 2022
The literature on service quality and consumer satisfaction needs to integrate the new methods and study techniques provided by consumer neuroscience. The review of studies in the field of tourism from the consumer neuroscience perspective allows us to
Melián-Alzola, Lucía   +2 more
core  

Material Strategies for Stimulation and Recording in Neural Biocomputing Platforms

open access: yesAdvanced Electronic Materials, EarlyView.
Material strategies enabling stimulation and recording are central to neural biocomputing systems. This review examines how electronic materials govern the encoding of inputs and decoding of outputs in living neural networks. Advances in electrical, optical, and multimodal interfaces highlight emerging design principles for biocomputing platforms ...
Sehong Kang   +5 more
wiley   +1 more source

Neuroscientific Research Methods and Techniques in Consumer Research

open access: yes, 2022
The application of neurophysiological techniques to marketing and consumer research has seen tremendous growth in recent years. To provide a comprehensive overview of neuroscientific methods, the authors first review extant conceptual and empirical ...
Zhang, Yunen   +5 more
core   +1 more source

Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology

open access: yesAdvanced Intelligent Discovery, EarlyView.
Energy efficient computing has driven a shift toward brain‐inspired neuromorphic hardware. This study explores the design of three distinct silicon neuron topologies implemented in 16 nm fin field‐Effect transistor technology. While the Axon‐Hillock design achieves gigahertz throughput, its functional fragility persists. The Morris–Lecar model captures
Logan Larsh   +3 more
wiley   +1 more source

Exploring neuromarketing strategies towards boosting consumer engagement with rural agricultural products: A systematic review

open access: yesInterdisciplinary Journal of Management Sciences
Rural agricultural products play a crucial role in local economies and cultural heritage; however, they encoun­ter significant market challenges, such as limited consumer trust, weak branding, and inadequate marketing resources.
Olaitan Ayotunde Shemfe   +1 more
doaj   +1 more source

Neural correlates of time versus money in product evaluation

open access: yesFrontiers in Psychology, 2012
The common saying time is money reflects the widespread belief in many people’s everyday life that time is valuable like money. Psychologically and neurophysiologically, however, these concepts seem to be quite different.
Sebastian eLehmann, Martin eReimann
doaj   +1 more source

Spatially Informed Feature Selection and Machine Learning in Matrix‐Assisted Laser Desorption/Ionization Imaging for Cohort‐Scale Molecular Tissue Phenomics in Glioblastoma

open access: yesAdvanced Intelligent Discovery, EarlyView.
Matrix‐assisted laser desorption/ionization imaging‐based identification of reliable small molecule markers across heterogeneous glioblastoma cohorts is challenging with intensity‐only methods. We present spatially informed feature selection (SIFS), a spatially informed framework that prioritizes molecules consistently colocalizing with histopathology.
Shad A. Mohammed   +15 more
wiley   +1 more source

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