Mirror Neurons: from Origin to Function
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Mirror Neuron System and Social Cognition Spring Quarter 2017 Tuth 11:00 - 12:20 Pm CSB 005
Department of Cognitive Science 0515 University of California, San Diego (858) 534-6771 La Jolla, CA 92093 COGS171: Mirror Neuron System and Social Cognition Spring Quarter 2017 TuTH 11:00 - 12:20 pm CSB 005 Instructor: J. A. Pineda, Ph.D. TA: TBN [email protected] Phone: 858-534-9754 SeCtion: F 9-9:50 am CSB 005 OffiCe Hours: M 9-11 am, CSB 107 (or by appointment) This class will examine the neuroanatomy, physiology, and funCtional Correlates of the human mirror neuron system and its putative role in soCial Cognition, e.g., aCtion understanding, empathy, and theory of mind. We will examine the developmental, neuroimaging, electrophysiologiCal, as well as clinical evidence for and against this hypothesis. All students will: 1. Write a CritiCal review or “thought” essay (no longer than 1 page) on the weeks labeled with an asterisk (Weeks 2,3,4,6,8,10) based on one of the required readings that week. See Class website (or ask instruCtor) for a sample of a CritiCal review. Essays are due on Tuesday of the assigned week - for a total of 6 essays, although only 5 will count towards grade (25%). 2. You will also be responsible for: • a term paper due at end of class (8-10 pages) on an issue relevant to mirroring and social cognition. You will work on this as a group of 3-4 students. See Class website for instruCtions on structure of proposal. (15%) • an oral presentation of the term paper (10-15 minutes). (10%) 3. Take the midterm (25%) and final (25%). -
The Mirror Neuron System: How Cognitive Functions Emerge from Motor Organization Leonardo Fogassi
The mirror neuron system: How cognitive functions emerge from motor organization Leonardo Fogassi To cite this version: Leonardo Fogassi. The mirror neuron system: How cognitive functions emerge from motor or- ganization. Journal of Economic Behavior and Organization, Elsevier, 2010, 77 (1), pp.66. 10.1016/j.jebo.2010.04.009. hal-00921186 HAL Id: hal-00921186 https://hal.archives-ouvertes.fr/hal-00921186 Submitted on 20 Dec 2013 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Accepted Manuscript Title: The mirror neuron system: How cognitive functions emerge from motor organization Author: Leonardo Fogassi PII: S0167-2681(10)00177-0 DOI: doi:10.1016/j.jebo.2010.04.009 Reference: JEBO 2604 To appear in: Journal of Economic Behavior & Organization Received date: 26-7-2009 Revised date: 19-4-2010 Accepted date: 20-4-2010 Please cite this article as: Fogassi, L., The mirror neuron system: How cognitive functions emerge from motor organization, Journal of Economic Behavior and Organization (2010), doi:10.1016/j.jebo.2010.04.009 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. -
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. -
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. -
Mirror Neurons and Their Reflections
Open Access Library Journal Mirror Neurons and Their Reflections Mehmet Tugrul Cabioglu1, Sevgin Ozlem Iseri2 1Department of Physiology, Faculty of Medicine, Baskent University, Ankara, Turkey 2Department of Clinical Biochemistry, Faculty of Medicine, Hacettepe University, Ankara, Turkey Received 23 October 2015; accepted 7 November 2015; published 12 November 2015 Copyright © 2015 by authors and OALib. This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/ Abstract Human mirror neuron system is believed to provide the basic mechanism for social cognition. Mirror neurons were first discovered in 1990s in the premotor area (F5) of macaque monkeys. Besides the premotor area, mirror neuron systems, having different functions depending on their locations, are found in various cortical areas. In addition, the importance of cingulate cortex in mother-infant relationship is clearly emphasized in the literature. Functional magnetic resonance imaging, electroencephalography, transcortical magnetic stimulation are the modalities used to evaluate the, activity of mirror neurons; for instance, mu wave suppression in electroencephalo- graphy recordings is considered as an evidence of mirror neuron activity. Mirror neurons have very important functions such as language processing, comprehension, learning, social interaction and empathy. For example, autistic individuals have less mirror neuron activity; therefore, it is thought that they have less ability of empathy. Responses of mirror neurons to object-directed and non-object directed actions are different and non-object directed action is required for the activa- tion of mirror neurons. Previous researchers find significantly more suppression during the ob- servation of object-directed movements as compared to mimed actions. -
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. -
The Mirror-Neuron Paradox: How Far Is Sympathy from Compassion, Indulgence, and Adulation?
Munich Personal RePEc Archive The Mirror-Neuron Paradox: How Far is Sympathy from Compassion, Indulgence, and Adulation? Khalil, Elias Monash University 11 June 2007 Online at https://mpra.ub.uni-muenchen.de/3599/ MPRA Paper No. 3599, posted 17 Jun 2007 UTC The Mirror-Neuron Paradox: How Far is Sympathy from Compassion, Indulgence, and Adulation? Elias L. Khalil1 ABSTRACT The mirror-neuron system (MNS) becomes instigated when the spectator empathizes with the principal’s intention. MNS also involves imitation, where empathy is irrelevant. While the former may attenuate the principal’s emotion, the latter paradoxically reinforces it. This paper proposes a solution of the contradictory attenuation/reinforcement functions of fellow-feeling by distinguishing two axes: “rationality axis” concerns whether the action is efficient or suboptimal; “intentionality axis” concerns whether the intention is “wellbeing” or “evil.” The solution shows how group solidarity differs from altruism and fairness; how revulsion differs from squeamishness; how malevolence differs from selfishness; and how racial hatred differs from racial segregation. Keywords: Adam Smith; David Hume; Fellow-Feeling; Desire; Paris Hilton; Crankcase Oil Problem; Comprehension; Understanding (empathy or theory of mind); Imitation; Status Inequality; Elitism; Authority; Pity: Obsequiousness; Racial Segregation; Racial Hatred; Rationality Axis; Intentionality Axis; Propriety; Impropriety; Revulsion; Social Preferences; Altruism; Assabiya (group solidarity); Fairness; Schadenfreude (envy/spite/malevolence/evil); Vengeance JEL Code: D01; D64 1 [email protected] Department of Economics, Monash University, Clayton, Victoria, Australia. The paper was supported by the Konrad Lorenz Institute for Evolution and Cognition Research (Altenberg, Austria). During my stay at the Konrad Lorenz Institute, I benefited greatly from the very generous comments and extensive conversations with Riccardo Draghi- Lorenz. -
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. -
Social Cognition and the Mirror Neuron System of the Brain
Motivating Questions Social Cognition and the Mirror How do our brains perceive the Neuron System of the Brain mental states of others despite their inaccessibility? How do we understand the actions, emotions and the intentions of others? Rationally? Intuitively? Jaime A. Pineda, Ph.D. Cognitive Neuroscience Laboratory How do we understand first- COGS1 class and third-person experiences? Classic Explanation A Different Perspective Theory-Theory (argument from analogy; disembodied Simulation Theory knowledge; visual hypothesis) (Direct-matching hypothesis; embodied knowledge) Map visual information onto Involves striate, extrastriate, motor representations of the inferotemporal lobe and same action superior temporal sulcus, among others Mirroring systems bridges between perception and action that allow for simulation Mirror neurons EEG Mu rhythms A Different Perspective The Mirror Neuron System Simulation Theory (Direct-matching hypothesis; embodied knowledge) Map visual information onto motor representations of the same action Mirroring systems bridges between perception and action that allow for simulation Mirror neurons EEG Mu rhythms Iacoboni and Dapretto, Nature Reviews, 2006,7:942-951 1 Biological Motion Biological Motion Perception: Monkeys Visual system's ability to Gender recover object information Activity engaged in Perret and colleagues from sparse input Emotional state (1989; 1990; 1994) Cells in superior temporal polysensory area (STPa) of the macaque temporal cortex appear sensitive to biological motion Oram & Perrett, J. Cog. Neurosci., 1994, 6(2), 99-116 Biological Motion Perception: Humans Brain Circuit for Social Perception (SP) An area in the superior • SP is processing of temporal sulcus (STS) in information that results in humans responds to the accurate analysis of biological motion the intentions of others • STS involved in the Other areas do as well, processing of a variety of including frontal cortex, social signals SMA, insula, thalamus, amygdala Grossman et al.