Social Neuroscience and Its Relationship to Social Psychology
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Volume 3 Summer 2012
Volume 3 Summer 2012 . Academic Partners . Cover image Magnetic resonance image of the human brain showing colour-coded regions activated by smell stimulus. Editors Ulisses Barres de Almeida Max-Planck-Institut fuer Physik [email protected] Juan Rojo TH Unit, PH Division, CERN [email protected] [email protected] Academic Partners Fondazione CEUR Consortium Nova Universitas Copyright ©2012 by Associazione EURESIS The user may not modify, copy, reproduce, retransmit or otherwise distribute this publication and its contents (whether text, graphics or original research content), without express permission in writing from the Editors. Where the above content is directly or indirectly reproduced in an academic context, this must be acknowledge with the appropriate bibliographical citation. The opinions stated in the papers of the Euresis Journal are those of their respective authors and do not necessarily reflect the opinions of the Editors or the members of the Euresis Association or its sponsors. Euresis Journal (ISSN 2239-2742), a publication of Associazione Euresis, an Association for the Promotion of Scientific Endevour, Via Caduti di Marcinelle 2, 20134 Milano, Italia. www.euresisjournal.org Contact information: Email. [email protected] Tel.+39-022-1085-2225 Fax. +39-022-1085-2222 Graphic design and layout Lorenzo Morabito Technical Editor Davide PJ Caironi This document was created using LATEX 2" and X LE ATEX 2 . Letter from the Editors Dear reader, with this new issue we reach the third volume of Euresis Journal, an editorial ad- venture started one year ago with the scope of opening up a novel space of debate and encounter within the scientific and academic communities. -
Strategies for Social Skills for Students with Autism Spectrum Disorder
National Association of Special Education Teachers AUTISM SPECTRUM DISORDER SERIES Strategies for Social Skills for Students with Autism Spectrum Disorder Introduction One of the most important areas for intervention for children with autism will be in the area of social skills development. Most students with ASD would like to be part of the social world around them. They have a need to interact socially and be involved with others. However, one of the defining characteristics of ASD is impairment in social interactions and social skills. Students with ASD have not automatically learned the rules of interaction with others, and they are unable to follow these unwritten rules of social behavior. This article will focus on this very important and relevant issue. Most students with ASD would like to be part of the social world around them. They have a need to interact socially and be involved with others. However, one of the defining characteristics of ASD is impairment in social interactions and social skills. Students with ASD have not automatically learned the rules of interaction with others, and they are unable to follow these unwritten rules of social behavior. Many people with ASD are operating on false perceptions that are rigid or overly literal. Recognizing these false perceptions can be very helpful in understanding the behavior and needs of these students in social situations. The misperceptions include: • rules apply in only a single situation • everything someone says must be true • when you do not know what to do, do nothing. Imagine how overly literal misconceptions could seriously limit social interaction. -
The Emotional and Social Intelligences of Effective Leadership
The current issue and full text archive of this journal is available at www.emeraldinsight.com/0268-3946.htm The intelligences The emotional and social of effective intelligences of effective leadership leadership An emotional and social skill approach 169 Ronald E. Riggio and Rebecca J. Reichard Kravis Leadership Institute, Claremont McKenna College, Claremont, California, USA Abstract Purpose – The purpose of this paper is to describe a framework for conceptualizing the role of emotional and social skills in effective leadership and management and provides preliminary suggestions for research and for the development of leader emotional and social skills. Design/methodology/approach – The paper generalizes a dyadic communications framework in order to describe the process of emotional and social exchanges between leaders and their followers. Findings – The paper shows how emotional skills and complementary social skills are essential for effective leadership through a literature review and discussion of ongoing research and a research agenda. Practical implications – Suggestions for the measurement and development of emotional and social skills for leaders and managers are offered. Originality/value – The work provides a framework for emotional and social skills in order to illustrate their role in leadership and their relationship to emotional and social intelligences. It outlines a research agenda and advances thinking of the role of developable emotional and social skills for managers. Keywords Emotional intelligence, Social skills, Leadership development Paper type Conceptual paper In his classic work on managerial skills, Mintzberg (1973) listed specific interpersonal skills (i.e. the ability to establish and maintain social networks; the ability to deal with subordinates; the ability to empathize with top-level leaders) as critical for managerial effectiveness. -
Optimization of Deep Architectures for EEG Signal Classification
sensors Article Optimization of Deep Architectures for EEG Signal Classification: An AutoML Approach Using Evolutionary Algorithms Diego Aquino-Brítez 1, Andrés Ortiz 2,* , Julio Ortega 1, Javier León 1, Marco Formoso 2 , John Q. Gan 3 and Juan José Escobar 1 1 Department of Computer Architecture and Technology, University of Granada, 18014 Granada, Spain; [email protected] (D.A.-B.); [email protected] (J.O.); [email protected] (J.L.); [email protected] (J.J.E.) 2 Department of Communications Engineering, University of Málaga, 29071 Málaga, Spain; [email protected] 3 School of Computer Science and Electronic Engineering, University of Essex, Colchester CO4 3SQ, UK; [email protected] * Correspondence: [email protected] Abstract: Electroencephalography (EEG) signal classification is a challenging task due to the low signal-to-noise ratio and the usual presence of artifacts from different sources. Different classification techniques, which are usually based on a predefined set of features extracted from the EEG band power distribution profile, have been previously proposed. However, the classification of EEG still remains a challenge, depending on the experimental conditions and the responses to be captured. In this context, the use of deep neural networks offers new opportunities to improve the classification performance without the use of a predefined set of features. Nevertheless, Deep Learning architec- Citation: Aquino-Brítez, D.; Ortiz, tures include a vast number of hyperparameters on which the performance of the model relies. In this A.; Ortega, J.; León, J.; Formoso, M.; paper, we propose a method for optimizing Deep Learning models, not only the hyperparameters, Gan, J.Q.; Escobar, J.J. -
Empathy, Mirror Neurons and SYNC
Mind Soc (2016) 15:1–25 DOI 10.1007/s11299-014-0160-x Empathy, mirror neurons and SYNC Ryszard Praszkier Received: 5 March 2014 / Accepted: 25 November 2014 / Published online: 14 December 2014 Ó The Author(s) 2014. This article is published with open access at Springerlink.com Abstract This article explains how people synchronize their thoughts through empathetic relationships and points out the elementary neuronal mechanisms orchestrating this process. The many dimensions of empathy are discussed, as is the manner by which empathy affects health and disorders. A case study of teaching children empathy, with positive results, is presented. Mirror neurons, the recently discovered mechanism underlying empathy, are characterized, followed by a theory of brain-to-brain coupling. This neuro-tuning, seen as a kind of synchronization (SYNC) between brains and between individuals, takes various forms, including frequency aspects of language use and the understanding that develops regardless of the difference in spoken tongues. Going beyond individual- to-individual empathy and SYNC, the article explores the phenomenon of syn- chronization in groups and points out how synchronization increases group cooperation and performance. Keywords Empathy Á Mirror neurons Á Synchronization Á Social SYNC Á Embodied simulation Á Neuro-synchronization 1 Introduction We sometimes feel as if we just resonate with something or someone, and this feeling seems far beyond mere intellectual cognition. It happens in various situations, for example while watching a movie or connecting with people or groups. What is the mechanism of this ‘‘resonance’’? Let’s take the example of watching and feeling a film, as movies can affect us deeply, far more than we might realize at the time. -
A Neuroevolution Approach to Imitating Human-Like Play in Ms
A Neuroevolution Approach to Imitating Human-Like Play in Ms. Pac-Man Video Game Maximiliano Miranda, Antonio A. S´anchez-Ruiz, and Federico Peinado Departamento de Ingenier´ıadel Software e Inteligencia Artificial Universidad Complutense de Madrid c/ Profesor Jos´eGarc´ıaSantesmases 9, 28040 Madrid (Spain) [email protected] - [email protected] - [email protected] http://www.narratech.com Abstract. Simulating human behaviour when playing computer games has been recently proposed as a challenge for researchers on Artificial Intelligence. As part of our exploration of approaches that perform well both in terms of the instrumental similarity measure and the phenomeno- logical evaluation by human spectators, we are developing virtual players using Neuroevolution. This is a form of Machine Learning that employs Evolutionary Algorithms to train Artificial Neural Networks by consider- ing the weights of these networks as chromosomes for the application of genetic algorithms. Results strongly depend on the fitness function that is used, which tries to characterise the human-likeness of a machine- controlled player. Designing this function is complex and it must be implemented for specific games. In this work we use the classic game Ms. Pac-Man as an scenario for comparing two different methodologies. The first one uses raw data extracted directly from human traces, i.e. the set of movements executed by a real player and their corresponding time stamps. The second methodology adds more elaborated game-level parameters as the final score, the average distance to the closest ghost, and the number of changes in the player's route. We assess the impor- tance of these features for imitating human-like play, aiming to obtain findings that would be useful for many other games. -
Toward an Integrative Understanding of Social Behavior: New Models and New Opportunities
REVIEW ARTICLE published: 28 June 2010 BEHAVIORAL NEUROSCIENCE doi: 10.3389/fnbeh.2010.00034 Toward an integrative understanding of social behavior: new models and new opportunities Daniel T. Blumstein1*, Luis A. Ebensperger 2, Loren D. Hayes 3*, Rodrigo A. Vásquez 4, Todd H. Ahern 5, Joseph Robert Burger 3†, Adam G. Dolezal 6, Andy Dosmann7, Gabriela González-Mariscal 8, Breanna N. Harris 9, Emilio A. Herrera10, Eileen A. Lacey11, Jill Mateo 7, Lisa A. McGraw12, Daniel Olazábal 13, Marilyn Ramenofsky14, Dustin R. Rubenstein15, Samuel A. Sakhai16, Wendy Saltzman 9, Cristina Sainz-Borgo10, Mauricio Soto-Gamboa17, Monica L. Stewart 3, Tina W. Wey1, John C. Wingfield14 and Larry J. Young5 1 Department of Ecology and Evolutionary Biology, University of California Los Angeles, Los Angeles, CA, USA 2 CASEB and Departamento de Ecología, Facultad de Ciencias Biológicas, P. Universidad Católica de Chile, Santiago, Chile 3 Department of Biology, University of Louisiana at Monroe, Monroe, LA, USA 4 Institute of Ecology and Biodiversity, Departamento de Ciencias Ecologicas, Universidad de Chile, Santiago, Chile 5 Department of Psychiatry, Center for Behavioral Neuroscience, Yerkes National Primate Center, Emory University School of Medicine, Atlanta, GA, USA 6 School of Life Sciences, Arizona State University, Phoenix, AZ, USA 7 Committee on Evolutionary Biology, University of Chicago, Chicago, IL, USA 8 Centro de Investigacion en Reproduccion Animal, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Universidad -
Neuro-Crítica: Un Aporte Al Estudio De La Etiología, Fenomenología Y Ética Del Uso Y Abuso Del Prefijo Neuro1
JAHR ǀ Vol. 4 ǀ No. 7 ǀ 2013 Professional article Amir Muzur, Iva Rincic Neuro-crítica: un aporte al estudio de la etiología, fenomenología y ética del uso y abuso del prefijo neuro1 ABSTRACT The last few decades, beside being proclaimed "the decades of the brain" or "the decades of the mind," have witnessed a fascinating explosion of new disciplines and pseudo-disciplines characterized by the prefix neuro-. To the "old" specializations of neurosurgery, neurophysiology, neuropharmacology, neurobiology, etc., some new ones have to be added, which might sound somehow awkward, like neurophilosophy, neuroethics, neuropolitics, neurotheology, neuroanthropology, neuroeconomy, and other. Placing that phenomenon of "neuroization" of all fields of human thought and practice into a context of mostly unjustified and certainly too high – almost millenarianistic – expectations of the science of the brain and mind at the end of the 20th century, the present paper tries to analyze when the use of the prefix neuro- is adequate and when it is dubious. Key words: brain, neuroscience, word coinage RESUMEN Las últimas décadas, además de haber sido declaradas "las décadas del cerebro" o "las décadas de la mente", han sido testigos de una fascinante explosión de nuevas disciplinas y pseudo-disciplinas caracterizadas por el prefijo neuro-. A las "antiguas" especializaciones de la neurocirugía, la neurofisiología, la neurofarmacología, la neurobiología, etc., deben agregarse otras nuevas que pueden sonar algo extrañas, como la neurofilosofía, la neuroética, la neuropolítica, la neuroteología, la neuroantropología, la neuroeconomía, entre otras. El presente trabajo coloca ese fenómeno de "neuroización" de todos los campos del pensamiento y la práctica humana en un contexto de expectativas en general injustificadas y sin duda altísimas (y casi milenarias) en la ciencia del cerebro y la mente a fines del siglo XX; e intenta analizar cuándo el uso del prefijo neuro- es adecuado y cuándo es cuestionable. -
Social Neuroscience and Psychopathology: Identifying the Relationship Between Neural Function, Social Cognition, and Social Beha
Hooker, C.I. (2014). Social Neuroscience and Psychopathology, Chapter to appear in Social Neuroscience: Mind, Brain, and Society Social Neuroscience and Psychopathology: Identifying the relationship between neural function, social cognition, and social behavior Christine I. Hooker, Ph.D. ***************************** Learning Goals: 1. Identify main categories of social and emotional processing and primary neural regions supporting each process. 2. Identify main methodological challenges of research on the neural basis of social behavior in psychopathology and strategies for addressing these challenges. 3. Identify how research in the three social processes discussed in detail – social learning, self-regulation, and theory of mind – inform our understanding of psychopathology. Summary Points: 1. Several psychiatric disorders, such as schizophrenia and autism, are characterized by social functioning deficits, but there are few interventions that effectively address social problems. 2. Treatment development is hindered by research challenges that limit knowledge about the neural systems that support social behavior, how those neural systems and associated social behaviors are compromised in psychopathology, and how the social environment influences neural function, social behavior, and symptoms of psychopathology. 3. These research challenges can be addressed by tailoring experimental design to optimize sensitivity of both neural and social measures as well as reduce confounds associated with psychopathology. 4. Investigations on the neural mechanisms of social learning, self-regulation, and Theory of Mind provide examples of methodological approaches that can inform our understanding of psychopathology. 5. High-levels of neuroticism, which is a vulnerability for anxiety disorders, is related to hypersensitivity of the amygdala during social fear learning. 6. High-levels of social anhedonia, which is a vulnerability for schizophrenia- spectrum disorders, is related to reduced lateral prefrontal cortex (LPFC) activity 1 Hooker, C.I. -
Evolving Neural Networks Using Behavioural Genetic Principles
Evolving Neural Networks Using Behavioural Genetic Principles Maitrei Kohli A dissertation submitted in partial fulfilment of the requirements for the degree of Doctor of Philosophy Department of Computer Science & Information Systems Birkbeck, University of London United Kingdom March 2017 0 Declaration This thesis is the result of my own work, except where explicitly acknowledged in the text. Maitrei Kohli …………………. 1 ABSTRACT Neuroevolution is a nature-inspired approach for creating artificial intelligence. Its main objective is to evolve artificial neural networks (ANNs) that are capable of exhibiting intelligent behaviours. It is a widely researched field with numerous successful methods and applications. However, despite its success, there are still open research questions and notable limitations. These include the challenge of scaling neuroevolution to evolve cognitive behaviours, evolving ANNs capable of adapting online and learning from previously acquired knowledge, as well as understanding and synthesising the evolutionary pressures that lead to high-level intelligence. This thesis presents a new perspective on the evolution of ANNs that exhibit intelligent behaviours. The novel neuroevolutionary approach presented in this thesis is based on the principles of behavioural genetics (BG). It evolves ANNs’ ‘general ability to learn’, combining evolution and ontogenetic adaptation within a single framework. The ‘general ability to learn’ was modelled by the interaction of artificial genes, encoding the intrinsic properties of the ANNs, and the environment, captured by a combination of filtered training datasets and stochastic initialisation weights of the ANNs. Genes shape and constrain learning whereas the environment provides the learning bias; together, they provide the ability of the ANN to acquire a particular task. -
Evolving Autonomous Agent Controllers As Analytical Mathematical Models
Evolving Autonomous Agent Controllers as Analytical Mathematical Models Paul Grouchy1 and Gabriele M.T. D’Eleuterio1 1University of Toronto Institute for Aerospace Studies, Toronto, Ontario, Canada M3H 5T6 [email protected] Downloaded from http://direct.mit.edu/isal/proceedings-pdf/alife2014/26/681/1901537/978-0-262-32621-6-ch108.pdf by guest on 27 September 2021 Abstract a significant amount of time and computational resources. Furthermore, any such design decisions introduce additional A novel Artificial Life paradigm is proposed where experimenter bias into the simulation. Finally, complex be- autonomous agents are controlled via genetically- haviors require complex representations, adding to the al- encoded Evolvable Mathematical Models (EMMs). Agent/environment inputs are mapped to agent outputs ready high computational costs of ALife algorithms while via equation trees which are evolved using Genetic Pro- further obfuscating the inner workings of the evolved agents. gramming. Equations use only the four basic mathematical We propose Evolvable Mathematical Models (EMMs), a operators: addition, subtraction, multiplication and division. novel paradigm whereby autonomous agents are evolved via Experiments on the discrete Double-T Maze with Homing GP as analytical mathematical models of behavior. Agent problem are performed; the source code has been made available. Results demonstrate that autonomous controllers inputs are mapped to outputs via a system of genetically with learning capabilities can be evolved as analytical math- encoded equations. Only the four basic mathematical op- ematical models of behavior, and that neuroplasticity and erations (addition, subtraction, multiplication and division) neuromodulation can emerge within this paradigm without are required, as they can be used to approximate any ana- having these special functionalities specified a priori. -
Title: Neuroscience, in About 50 Minutes Ethan Gahtan Associate Professor of Psychology, Humboldt State University Hello, Arcata
Title: Neuroscience, in about 50 minutes Ethan Gahtan Associate Professor of Psychology, Humboldt State University Hello, Arcata High School Go Tigers! Outline: 1. Who I am and what I’m doing here. 2. What is Neuroscience? 3. Why we have brains and minds. 4. Careers in neuroscience. 5. Resources to learn more. 1. Who I am… Courses I teach: Behavioral neuroscience, Evolutionary Psychology, Research Methods, Psychopharmacology …and what I’m doing here? Bringing SCIENCE Science OUTREACH Neuroscience is a incredibly broad topic! So what can I tell you about in 50min? Picture of a brain. This one happens to be my brain Outline: 1. Who I am and what I’m doing here. 2. What is Neuroscience? 3. Why we have brains and minds. 4. Careers in neuroscience. 5. Resources to learn more. 2. What is Neuroscience? Narrow Definition – Studying how the nervous system works Biological Variables Behavioral Variables (observe or manipulate) (observe or manipulate) relationships * * http://www.sfn.org/NeuroscienceInTheNews.aspx 2. What is Neuroscience? – Example of my own research Research question: How do neurons that descend from the brain to the spinal cord control movement? 6 day old larval zebrafish RS neuron schematic Back-labeled RS neurons in hindbrain 1 mm Methods: relate activity of individual descending neurons to sensory-motor behavior 2. What is Neuroscience? – Example of my own research This neuron is required for visually guided prey capture behavior Confocal microscope High speed camera Electrophysiology rig Microtome Recap: Narrow Definition of Neuroscience: How the nervous system controls behavior and the mind. There are many ‘how questions’ still to answer, e.g., in social neuroscience 2.