Neuroscience Methods Research Articles

New Consumer Research Technology for Food Behaviour: Overview and Validity.

Background: the last decade has witnessed an explosion of new consumer behaviour research technology, and new methods are published almost monthly. To what extent are these methods applicable in the specific area of food consumer science, and if they are, are they any good? Methods: in this paper, we attempt to give an overview of the developments in this area. We distinguish between (‘input’) methods needed to shape the measurement context a consumer is brought in, e.g., by means of ‘immersive’ methods, and (‘output’) methods that perform measurements proper. Concerning the latter, we distinguish between methods focusing on neuro-science, on psychology, and on behaviour. In addition, we suggest a way to assess the validity of the methods, based on psychological theory, concerning biases resulting from consumer awareness of a measurement situation. The methods are evaluated on three summarising validity criteria; conclusions: the conclusion is that behavioural measures generally appear more valid than psychological or neuro-scientific methods. The main conclusion is that validity of a method should never be taken for granted, and it should be always be assessed in the context of the research question.

Minding my brain: Fourteen neuroscience-based principles to enhance psychotherapy responsiveness.

Intersections between psychotherapy and neurosciences are at its dawn. The quest to understand the neural underpinnings of psychological processes has led several generations of scientists to explore neural correlates between mind, brain and behaviour. Neuroscience methods and research have given psychology new perspectives and insights about the structure and function of complex neural pathways that underlie human functioning (cognition, emotion, motivation, somatic reactions and interpersonal behaviour). By translating neuroscientific findings into psychotherapeutic principles of change, it is possible to promote responsiveness towards brain dysfunction that underlies patients' psychological malfunctioning. In psychotherapy, responsiveness is a core aspect of the therapeutic change process, especially to adapt psychological interventions to patients' motivational stages and preferences, coping styles, neurobehavioural modes and emotional needs. Within a transtheoretical and translational approach, contemporary neuroscientific findings are revised, discussed and used to attempt to build on 14 theoretical brain-based principles that may be applied to psychotherapy. Translating these empirical findings into practical principles, clinical strategies and tasks is expected to enhance psychotherapy responsiveness grounded on a science-based knowledge of brain functioning.

Siamese Network-Based All-Purpose-Tracker, a Model-Free Deep Learning Tool for Animal Behavioral Tracking.

Accurate tracking is the basis of behavioral analysis, an important research method in neuroscience and many other fields. However, the currently available tracking methods have limitations. Traditional computer vision methods have problems in complex environments, and deep learning methods are hard to be applied universally due to the requirement of laborious annotations. To address the trade-off between accuracy and universality, we developed an easy-to-use tracking tool, Siamese Network-based All-Purpose Tracker (SNAP-Tracker), a model-free tracking software built on the Siamese network. The pretrained Siamese network offers SNAP-Tracker a remarkable feature extraction ability to keep tracking accuracy, and the model-free design makes it usable directly before laborious annotations and network refinement. SNAP-Tracker provides a “tracking with detection” mode to track longer videos with an additional detection module. We demonstrate the stability of SNAP-Tracker through different experimental conditions and different tracking tasks. In short, SNAP-Tracker provides a general solution to behavioral tracking without compromising accuracy. For the user’s convenience, we have integrated the tool into a tidy graphic user interface and opened the source code for downloading and using (https://github.com/slh0302/SNAP).

A Neural Controller Model Considering the Vestibulospinal Tract in Human Postural Control.

Humans are able to control their posture in their daily lives. It is important to understand how this is achieved in order to understand the mechanisms that lead to impaired postural control in various diseases. The descending tracts play an important role in controlling posture, particularly the reticulospinal and the vestibulospinal tracts (VST), and there is evidence that the latter is impaired in various diseases. However, the contribution of the VST to human postural control remains unclear, despite extensive research using neuroscientific methods. One reason for this is that the neuroscientific approach limits our understanding of the relationship between an array of sensory information and the muscle outputs. This limitation can be addressed by carrying out studies using computational models, where it is possible to make and validate hypotheses about postural control. However, previous computational models have not considered the VST. In this study, we present a neural controller model that mimics the VST, which was constructed on the basis of physiological data. The computational model is composed of a musculoskeletal model and a neural controller model. The musculoskeletal model had 18 degrees of freedom and 94 muscles, including those of the neck related to the function of the VST. We used an optimization method to adjust the control parameters for different conditions of muscle tone and with/without the VST. We examined the postural sway for each condition. The validity of the neural controller model was evaluated by comparing the modeled postural control with (1) experimental results in human subjects, and (2) the results of a previous study that used a computational model. It was found that the pattern of results was similar for both. This therefore validated the neural controller model, and we could present the neural controller model that mimics the VST.

An optoelectronic neural interface approach for precise superposition of optical and electrical stimulation in flexible array structures

Optical stimulation of genetically modified nerve cells has become one of the state-of-the-art methods in neuroscience. This so-called optogenetic approach allows cell-type specific activation in comparison to more generalized electrical stimulation. Combinations of both stimulation modalities would be desirable to investigate effects in detail and specify differences. This work presents the design of a miniaturized optoelectronic device that allows optical and electrical activation at the same spot. Indium tin oxide (ITO), which is transparent to visible light, has been chosen as electrode material. Light emitting diodes were assembled on a polyimide substrate with integrated interconnection lines, directly behind the electrodes to compare optical with electrical stimulation. The optical transparency of the ITO-polyimide layer stack was investigated and showed sufficient transmission in the required wavelength range. ITO electrodes with diameters up to 1000 μm were electrochemically characterized using electrical impedance spectroscopy (EIS). Several diameters did show comparable results to platinum, a commonly used electrode material. Fully assembled devices were used in combination an ex vivo setting with genetically modified retina to demonstrate the functionality of this approach. Retinal ganglion cells were excited by both, optical and electrical stimulation at the same spot and signals were recorded via standard microelectrode arrays (MEA) as reference. The simultaneous stimulation and recording of directly evoked action potentials indicates a similar mode of action of the two stimulation modalities. Further engineering work is needed to transfer the presented and proven concept into devices for chronic implantation, might it be in animal or first-in-human studies.

Effectiveness of Electricity-Saving Communication Campaigns: Neurophysiological Approach

Public communication campaigns are among the tools for promoting electricity saving. A crucial task in the process of creating a campaign is to design a simple message to effectively reach the average consumer. It is a beneficial practice to create alternative messages and pretest them to find the most effective. The research methodology during pretesting includes both quantitative and qualitative methods. However, it is believed that the outcomes obtained with the use of conventional techniques are not fully reliable. Therefore, the following question arises: What additional research methods should be applied at the stage of testing the message of a communication campaign so that its effectiveness can be assessed more reliably and/or improved even before its broadcast? In this study, we aim to present the possibility of applying cognitive neuroscience methods in conjunction with a questionnaire to experimentally check the effectiveness of the message using the example of selected electricity-saving communication campaigns. The key results of this study indicate that merging conscious and subconscious reactions to media messages allows us to gain new knowledge that can be used in the future to improve the communication campaign effectiveness. Our investigation showed the benefits that can be obtained by synergizing traditional research methods with neuroscientific approaches.

Perspectives on Rehabilitation Using Non-invasive Brain Stimulation Based on Second-Person Neuroscience of Teaching-Learning Interactions.

Recent advances in second-person neuroscience have allowed the underlying neural mechanisms involved in teaching-learning interactions to be better understood. Teaching is not merely a one-way transfer of information from teacher to student; it is a complex interaction that requires metacognitive and mentalizing skills to understand others’ intentions and integrate information regarding oneself and others. Physiotherapy involving therapists instructing patients on how to improve their motor skills is a clinical field in which teaching-learning interactions play a central role. Accumulating evidence suggests that non-invasive brain stimulation (NIBS) modulates cognitive functions; however, NIBS approaches to teaching-learning interactions are yet to be utilized in rehabilitation. In this review, I evaluate the present research into NIBS and its role in enhancing metacognitive and mentalizing abilities; I then review hyperscanning studies of teaching-learning interactions and explore the potential clinical applications of NIBS in rehabilitation. Dual-brain stimulation using NIBS has been developed based on findings of brain-to-brain synchrony in hyperscanning studies, and it is delivered simultaneously to two individuals to increase inter-brain synchronized oscillations at the stimulated frequency. Artificial induction of brain-to-brain synchrony has the potential to promote instruction-based learning. The brain-to-brain interface, which induces inter-brain synchronization by adjusting the patient’s brain activity, using NIBS, to the therapist’s brain activity, could have a positive effect on both therapist-patient interactions and rehabilitation outcomes. NIBS based on second-person neuroscience has the potential to serve as a useful addition to the current neuroscientific methods used in complementary interventions for rehabilitation.

Коммуникативные взаимодействия: аналитический обзор

For many years, communicative interactions between people have been the subject of conceptual and heuristic consideration in the frameworks of the psychological and social sciences. About ten years ago, the study of communicative interactions began using the methods of experimental neurosciences. Until now research in this area has focused on the accumulation of various phenomenа and the development of methodology. Basic directions and perspectives of communicative interactions research by means of experimental neuroscience methods and mathematical modeling have been considered.

Pipette Olympics: An Engaging Exercise for Undergraduate Laboratory Training.

Pipetting is an important technique used in almost every molecular neuroscience method including but not limited to, PCR, reverse transcription, immunohistochemistry, chromatin immunoprecipitation, and cell culture. The COVID-19 pandemic has robbed the undergraduate population of time to practice in person laboratory techniques. In response, we have devised a standardized, quick, and fun way to instruct students on the fundamentals of pipetting, serial dilutions, and basic statistical analysis. Here, we offer a standardized protocol for instructors to use to teach undergraduates valuable skills while providing friendly competition. We also offer an example of an undergraduate performing the steps of this protocol with example results and the results from three separate undergrads' first two attempts. This exercise provides laboratories with a method to reintroduce undergraduates to lab basics while standardizing the training thereby saving time lost to the pandemic.

Award for Distinguished Scientific Early Career Contributions to Psychology: Brian A. Anderson.

The Early Career Awards, given for the first time in 1974, recognize the large number of excellent early career psychologists. Recipients of this award may not have held a doctoral degree for more than nine years. For purposes of this award, psychology has been divided into 10 areas: animal learning and behavior, comparative; developmental; health; cognition/human learning; psychopathology; behavioral and cognitive neuroscience; perception/motor performance; social; applied research; and individual differences. Five areas are considered each year, with areas rotated in two-year cycles. The areas considered in 2021 were animal learning and behavior, comparative; developmental; health; cognition/human learning; and psychopathology. Each year, panels are selected for the areas under consideration, and these panels recommend nominees to the Committee on Scientific Awards. The 2021 recipients of the APA Scientific Contribution Awards were recognized by the 2020 Board of Scientific Affairs and selected by the 2020 Committee on Scientific Awards. For his outstanding and pioneering work on the role of learning in automatic attentional biases. Brian A. Anderson's development of methodologies to study attentional capture by stimuli associated with reward gave rise to the popular idea of an overarching learning-dependent mechanism of attentional control referred to as 'selection history.' His programmatic and prolific exploration of these phenomena using both behavioral and neuroscientific methods has revealed multiple independent learning mechanisms influencing attentional control. A tireless, creative and dedicated researcher, his work has important translational implications for behavioral health and our understanding of addiction. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Award for Distinguished Senior Career Contributions to Psychology in the Public Interest: Kimberly G. Noble.

The Awards for Distinguished Contributions to Psychology in the Public Interest recognize persons who have advanced psychology as a science and/or profession by a single extraordinary achievement or a lifetime of outstanding contributions in the public interest. Two awards are given: one to a senior psychologist and a second to a psychologist who has made a significant contribution to the public interest in the early stages of his or her career. The 2021 recipients of the APA Awards for Distinguished Contributions in the Public Interest were selected by the 2020 Committee on Psychology in the Public Interest Awards. Kimberly G. Noble is a cognitive neuroscientist, developmental psychologist, and pediatrician based at Teachers College, Columbia University. With her formidable interdisciplinary skill set she has established a new approach to the problem of child poverty. Her work illuminates the neural mechanisms by which the socioeconomic environment shapes our abilities and vulnerabilities, using the ideas and methods of neuroscience to expand on insights that come from economic, social, and psychological studies. By building a more comprehensive and integrated understanding of child poverty, Dr. Noble has ushered in a new field of study that advances the science of child development and its implications for child policy. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

The role of biomarkers in cell counting with U‐Net CNN

AbstractBackgroundImaging methods that are non‐destructive preserve tissue integrity and lead to improved topography analysis for the study of neurodegenerative diseases like Alzheimer’s Disease (AD). Immunofluorescence (IF) staining methods facilitate such investigations by addressing a gradient of intensity variations relevant for in situ cell detection [1] and morphology quantification. This paper reports on the colocalization of proteins and cell structures from human post‐mortem tissue by evaluating IF expression by means of TBR1 and NeuN biomarkers. We compare different U‐Net‐based models by exploring image representations obtained by combining image channels with different biomarkers.MethodFrom an image dataset with 21 full‐size IF micrographs, we augment it by creating a cropping mechanism resulting in 40 to 60 image crops from each micrograph, each crop with 128x128 pixels. Later, we enhance the resulting 1,200 cropped images, and construct 3‐channel (x,y,z) image inputs of dimensions 128x128x3 for the U‐Net model in a two‐fold process: (I) stack all 3 channels with single‐channel IF cropped images corresponding to NeuN biomarkers (NeuN, NeuN, NeuN); (II) stack the single channel images of TBR1, NeuN, and a single image representing the maximum pixel intensities from TBR1 and NeuN images (TBR1, NeuN, max (TBR1, NeuN)). With a test‐train split of 70% ‐ 30%, and parameter tuning, we compare the two models via metrics such as neuron areas, counts, accuracy and recall.ResultThe model trained with channel stacking (II) outperforms the model trained with (I) with an accuracy and recall of 0.96 and 0.5, as opposed to 0.95 and 0.4. We also found a great variation in neuron area and counts as depicted in the images below.ConclusionWhile this is the first step in accelerating the quantification of neurons for the pathophysiology studies necessary for drug development, there is a need in establishing protocols for the generation of datasets with manual segmentation to further train our models. The inclusion of prior information about the expected neuron morphology increases the performance of our networks, and successfully deploy a foreseen automated pipeline. Reference: [1] Ehrenberg et al. A manual multiplex immunofluorescence method for investigating neurodegenerative diseases. Journal of Neuroscience Methods, June, 2020.

Psychological development mechanism of in-group favoritism during fairness norm enforcement

<p id="p00005">To improve the fairness perception and norm enforcement of children and adolescents in inter-group interactions, it is an essential issue in the field of educational psychology about how to reveal the interactive mechanism of group norms and fairness values during individuals' psychological development. Although in-group favoritism during fairness norm enforcement is an important topic in psychology, three main limitations need to be addressed. First, most studies use questionnaires, which are easily affected by social participation. Second, most of the research uses scenario experiments with an emphasis on the final behavioral output of social interaction while failing to effectively grasp the dynamic process of social decision-making. Finally, electroencephalogram (EEG) studies with the high temporal resolution are still lacking to reveal the dynamic process of the brain. This project aims to clarify these issues by employing a cognitive neuroscience method. Specifically, multilevel techniques, including self-reported, cognitive-behavioral, eye-tracking, and electrophysiological techniques, were used to examine the mechanism behind in-group favoritism of fairness norm enforcement from childhood to adolescence. We intend to explore the developmental process, reveal the key role of cognitive control, mentalizing, and describe their psychological development trajectory. Findings will support moral education in primary and secondary schools, and cultivate students' sense of justice and behavior.

The role of biomarkers in cell counting with U‐Net CNN

AbstractBackgroundImaging methods that are non‐destructive preserve tissue integrity and lead to improved topography analysis for the study of neurodegenerative diseases like Alzheimer’s Disease (AD). Immunofluorescence (IF) staining methods facilitate such investigations by addressing a gradient of intensity variations relevant for in situ cell detection [1] and morphology quantification. This paper reports on the colocalization of proteins and cell structures from human post‐mortem tissue by evaluating IF expression by means of TBR1 and NeuN biomarkers. We compare different U‐Net‐based models by exploring image representations obtained by combining image channels with different biomarkers.MethodFrom an image dataset with 21 full‐size IF micrographs, we perform data augmentation by creating a cropping mechanism resulting in 40 to 60 image crops from each micrograph, each crop with 128x128 pixels. Later, we enhance the resulting 1,200 cropped images, and construct 3‐channel (X,Y,Z) image inputs of dimensions 128x128x3 for the U‐Net model in a two‐fold process: (I) stack all 3 channels with single‐channel IF cropped images corresponding to NeuN biomarkers (NeuN, NeuN, NeuN); (II) stack the single channel images of TBR1, NeuN, and a single image representing the maximum pixel intensities from TBR1 and NeuN images (TBR1, NeuN, max (TBR1, NeuN)). With a test‐train split of 70% ‐ 30%, and parameter tuning, we compare the two models via metrics such as neuron areas, counts, accuracy and recall.ResultThe model trained with channel stacking (II) outperforms the model trained with (I) with an accuracy and recall of 0.96 and 0.5, as opposed to 0.95 and 0.4. We also found a great variation in neuron area and counts as depicted in the images below.ConclusionWhile this is the first step in accelerating the quantification of neurons for the pathophysiology studies necessary for drug development, there is a need in establishing protocols for the generation of datasets with manual segmentation to further train our models. The inclusion of prior information about the expected neuron morphology increases the performance of our networks, and can successfully deploy a foreseen automated pipeline. [1] Ehrenberg et al. A manual multiplex immunofluorescence method for investigating neurodegenerative diseases. Journal of Neuroscience Methods,June, 2020.

신경과학적 방법론을 적용한 교과교육 연구의 동향 탐색 - 문법교육적 시사점을 중심으로 -

This study reviewed curriculum education studies that applied neuroscientific methods to conduct preliminary work introducing neuroscience into grammar education. As a result of the scoping review, 161 studies were selected and reviewed in terms of their research methods and topics. Since the 2000s, the number of studies applying neuroscientific methods has been increasing quantitatively, mainly using eye tracking (ET) and electroencephalography (EEG), while there are few studies that have used event-related potentials (ERPs), functional magnetic resonance imaging (fMRI), and magnetoencephalography (MEG). Given that ET is mainly used in the field of Korean language education, more diverse methods need to be attempted in the future. A total of two main research topics are discovered: “understanding phenomena,” which focus on explaining certain pedagogical situations and “development and verification,” which focus on verifying or developing specific educational tools. As for the former, studies related to “understanding learning activities” were mainly conducted, and regarding the latter, studies related to “verification of treatment effects” were frequently found. Finally, by integrating the research topics and methods, possible research questions applying neuroscience were explored. The activation of grammatical thinking can be explored by fMRI, and the language processing patterns of learners and speakers can be captured using ERP. It will be possible to obtain clues on the characteristics of "grammatically gifted" using EEG, and empirical evidence on the reading process of grammar materials can be captured by ETs. This study is meaningful in that it analyzed the trends of curriculum education research applying neuroscientific methods, and it showed the advantages of applying neuroscience by suggesting research problems that can be performed in the field of grammar education.

Brain, Lagree Method, Manual Therapy; Physical Exercise, Microformer, Massage in Psycho-Body, Emotional-Affective and Socio-Relational Recovery

Exercise as a moment of socializing, fun and well-being. Titanic Enterprise? Just want to do. For me, I have brought together the greatest, the best, my closest friends, for one great passion: movement, physical exercise, as a source of well-being, especially in this critical moment for those who have suffered damage even from the point of view. economically. But the topic is another. I was in Sicily, a friend of mine is training with others but ... he has a herniated disc ... prevents him from moving ... yet, thanks also to the encouragement, the sociability, the fun of the group itself, he does not he feels pain and is able to perform all exercises perfectly. Hence the idea: can conviviality, sociality in the world of sport have and be a natural opioid? Can we modulate our perception of pain thanks to a “disembodied attitude and an enactive approach? We are embodied beings” , in which minds, bodies, environment and culture are connected to each other on different levels. “The answer is yes and the purpose of the post is to leave you breathless to admire the infinite beauty of my friends who train and have fun, live the sport , the Movement and long live true friendship. Obviously I emphasize my world, my fitness lagree method, Lagreefitness which also improves self-esteem, good mood through the generation of wellness molecules and hormones. heart health, brain health, muscle and joint health. Neuroscience and lagree method; induction of the pituitary hypothalamic axis of growth hormone, its possible implications in longevity

Storytelling in online shops: the impacts on explicit and implicit user experience, brand perceptions and behavioral intention

PurposeThis paper examines in detail how the use of storytelling with parallax technology can influence the user experience (UX) in online shops as well as brand- and behavior-relevant variables. Furthermore, this study analyzes the causal relationships between UX, brand attitudes and brand-related behavioral intentions in terms of purchase intention and price premiums. Explicit and implicit paths of human information processing are considered.Design/methodology/approachA sample of 266 respondents completed a web-based experiment under two conditions (text-based vs parallax storytelling online shop). An existing and operational online shop was used. The causal relationships were assessed by using partial least squares structural equation modeling (PLS-SEM). To measure implicit information processing, a single category implicit association test was applied.FindingsBy applying the storytelling technique with parallax scrolling, the online shop increased visitors' UX on explicit and implicit information processing levels and increased the online shop's overall perceived attractiveness. Storytelling with parallax motion enables an efficient transmission of brand-related associations to consumers' minds, enhances their explicit and implicit brand attitudes and increases their willingness to pay a higher price. Moreover, this study provides empirical evidence on the effects of UX on brand-related measures by applying PLS-SEM and thus reveals a causal chain of effects from UX on online shop attractiveness, brand attitude and behavioral intentions. Again, explicit and implicit perceptions were considered.Originality/valueScience and practice are increasingly emphasizing that storytelling emotionalizes content, which facilitates effective communication and builds strong relationships with customers. Little evidence exists about its efficient implementation in an online shopping context and in fulfilling hedonic and pragmatic needs throughout the online journey. This study provides novel insights into managing online shoppers' UX, brand-related perceptions and behavioral intentions with the optimal use of techniques to implement storytelling. Furthermore, this is one of the first studies to holistically consider the human perception of online shops by drawing on theories and methods of psychology, marketing, consumer behavior, brand research and consumer neuroscience and considering explicit and implicit information processing in terms of hedonic and pragmatic UX and brand-related measures.

Optimizing Fixation Filters for Eye-Tracking on Small Screens.

The study of consumer responses to advertising has recently expanded to include the use of eye-tracking to track the gaze of consumers. The calibration and validation of eye-gaze have typically been measured on large screens in static, controlled settings. However, little is known about how precise gaze localizations and eye fixations are on smaller screens, such as smartphones, and in moving feed-based conditions, such as those found on social media websites. We tested the precision of eye-tracking fixation detection algorithms relative to raw gaze mapping in natural scrolling conditions. Our results demonstrate that default fixation detection algorithms normally employed by hardware providers exhibit suboptimal performance on mobile phones. In this paper, we provide a detailed account of how different parameters in eye-tracking software can affect the validity and reliability of critical metrics, such as Percent Seen and Total Fixation Duration. We provide recommendations for producing improved eye-tracking metrics for content on small screens, such as smartphones, and vertically moving environments, such as a social media feed. The adjustments to the fixation detection algorithm we propose improves the accuracy of Percent Seen by 19% compared to a leading eye-tracking provider’s default fixation filter settings. The methodological approach provided in this paper could additionally serve as a framework for assessing the validity of applied neuroscience methods and metrics beyond mobile eye-tracking.

Neural variability fingerprint predicts individuals’ information security violation intentions

As the weakest links in information security defense are the individuals in an organizations, it is important to understand their information security behaviors. In the current study, we tested whether the neural variability pattern could predict an individual's intention to engage in information security violations. Because cognitive neuroscience methods can provide a new perspective into psychological processes without common methodological biases or social desirability, we combined an adapted version of the information security paradigm (ISP) with functional magnetic resonance imaging (fMRI) technology. While completing an adapted ISP task, participants underwent an fMRI scan. We adopted a machine learning method to build a neural variability predictive model. Consistent with previous studies, we found that people were more likely to take actions under neutral conditions than in minor violation contexts and major violation contexts. Moreover, the neural variability predictive model, including nodes within the task control, default mode, visual, salience and attention networks, can predict information security violation intentions. These results illustrate the predictive value of neural variability for information security violations and provide a new perspective for combining ISP with the fMRI technique to explore a neural predictive model of information security violation intention.

Photographs of Actions: What Makes Them Special Cues to Social Perception

I have reviewed studies on neural responses to pictured actions in the action observation network (AON) and the cognitive functions of these responses. Based on this review, I have analyzed the specific representational characteristics of action photographs. There has been consensus that AON responses provide viewers with knowledge of observed or pictured actions, but there has been controversy about the properties of this knowledge. Is this knowledge causally provided by AON activities or is it dependent on conceptual processing? What elements of actions does it refer to, and how generalized or specific is it? The answers to these questions have come from studies that used transcranial magnetic stimulation (TMS) to stimulate motor or somatosensory cortices. In conjunction with electromyography (EMG), TMS allows researchers to examine changes of the excitability in the corticospinal tract and muscles of people viewing pictured actions. The timing of these changes and muscle specificity enable inferences to be drawn about the cognitive products of processing pictured actions in the AON. Based on a review of studies using TMS and other neuroscience methods, I have proposed a novel hypothetical account that describes the characteristics of action photographs that make them effective cues to social perception. This account includes predictions that can be tested experimentally.