Using a combined electrophysiological and computational approach, Oruro et al. (LearnMem 27: 493–502) show that the GABAergic input enhances the olfactory bulb-anterior piriform cortex (OB-aPC) circuit's ability for maternal odor learning and amplifies its recall. Such an effect is due to the maturational characteristics of the GABAergic inputs that depolarize aPC pyramidal neurons during the sensitive period for attachment learning. The image shows that aPC circuits without (top figure) or with (bottom figure) GABAergic interneurons can learn maternal odor after conditioning. However, GABA-conditioned circuits are more likely to recruit more aPC pyramidal cells and engage them in more triggering activity in response to the conditioned maternal odor, thereby amplifying the entire circuit's response to maternal odor.
The image illustrates a representation of the conditioned behavioral response of the infant rat to the maternal odor. A group of pyramidal neurons in the anterior olfactory cortex (aPC) respond preferentially when the pup is close to the mother`s odor. Using a combined electrophysiological and computational approach, Oruro et al. (LearnMem 27: 20–32) report that more neurons are sensitive to maternal odor in pups younger than 10 postnatal days (P) than in older pups due to the maturation of intrinsic properties of the neurons itself. Early odor preference learning is induced in rat pups <P10 by pairing an artificial odor with tactile stimuli that mimics maternal care. After P10, the pairing of the same stimuli becomes ineffective for conditioning. Based on these results, the authors proposed that odor conditioning in <P10 pups recruits a group of pyramidal cells in the aPC that are also activated by the maternal odor. As this neural circuit promotes approximation to the maternal odor, we assume their coincidental activation also promotes behavioral preference for the conditioned odor. However, this overlap occurs only for younger pups. For older pups, the odor conditioning results in less activation of the aPC pyramidal cells, overlap in the circuit is no longer possible, and the conditioning is no longer effective.
Enver Oruro 1, Grace E Pardo 1, Luis A Aguilar Mendoza 1.(2011) Modelo de la actividad de la coteza auditiva durante la ecolocalización en murcielagos.
1 Laboratorio de Neurociencia y Comportamiento, Facultad de Medicina Alberto Hurtado, Universidad Peruana Cayetano Heredia
Model of auditory cortex activity during echolocation in bats: Agent based modeling, NetLogo, neuroethology, Nobou Suga
Enver Oruro 1,2, Grace E Pardo 1, Leyter Potenciano 3, Luis A Aguilar Mendoza 1.(2011)
Dínamica adaptativa del comportamiento de sueño unihemisférico en aves
1 Laboratorio de Neurociencia y Comportamiento, Facultad de Medicina Alberto Hurtado, Universidad Peruana Cayetano Heredia
2 Centro de Tecnologías de Información y Comunicaciones CTIC- Universidad Nacional de Ingeniería
3 Basque Center for Applied Mathematics- BCAM – Bizkaia Technology Park
Adaptive dynamics of unihemispheric sleep behavior in birds
Agent based modeling, NetLogo, neuroethology, evolution, game theory, Maynard Smith
Enver Oruro 1,2, Grace E Pardo 2,3, Maria Elisa Calcagnotto 2, Marco Idiart 1.(2017) Simulation of amygdala input to posterior piriform cortex: an exploration of fear conditioning from cells to cognition. 16th Annual MOLECULAR AND CELLULAR COGNITION SOCIETY Symposium and Poster Session -WASHINGTON DC.
1Neurocomputational and Language Processing Laboratory, Institute of Physics, Universidade Federal do Rio Grande do Sul, Brazil
2Neurophysiology and Neurochemistry of Neuronal Excitability and Synaptic Plasticity Laboratory, Universidade Federal do Rio Grande do Sul, Brazil
3Department of Physiology, ICBS, Universidade Federal do Rio Grande do Sul
Grace Pardo 1,2, Izabela Espindula 2, Enver Oruro 3.(2017) Computational simulation of maternal odor on neonatal learning in the nest. SfN's 47th annual meeting, Neuroscience, Washington, D.C
1Neurophysiology and Neurochemistry of Neuronal Excitability and Synaptic Plasticity Laboratory, Universidade Federal do Rio Grande do Sul, Brazil
2Department of Physiology, ICBS, Universidade Federal do Rio Grande do Sul
3Neurocomputational and Language Processing Laboratory, Institute of Physics, Universidade Federal do Rio Grande do Sul, Brazil
XLIII Reunião Anual da Sociedade Brasileira de Neurociências e Comportamento (SBNeC 2020)
Title: Infant maternal odor learning. A combined patch-clamp study and computational simulation
Authors: Oruro, E.M 1, 2, Pardo, G.V 2, 3, 4, 5, Lucion, A.B 3, Calcagnotto, M.E 2, Idiart, M.A.P 1
Institutional affiliations: 1 Institute of Physics, 2 Department of Biochemistry, 3 Department of Physiology, UFRGS, Porto Alegre/ RS, Brazil, 4 Centre for Interdisciplinary Science and Society Studies, UCH, Lima/Peru, 5 Center for Biomedical Research, UAC, Cusco/Peru.
Introduction: Pairing a novel odor with tactile stimulation that mimics the stimulation received during maternal care can induce early olfactory learning in rat pups younger than 10 postnatal days (P) (<P10), but not in older pups (>P10). The olfactory bulb (OB) and the anterior piriform cortex (aPC), both modulated by norepinephrine (NE), have been identified as part of a neural circuit supporting this learning.
Objectives: We tested the hypothesis that for < P10 pups, the early olfactory learning recruits in the aPC the circuits responsible for the preference behavior towards the mother´s odor due to specific properties of the aPC pyramidal cells and this coincidental activation is reduced in >P10 pups due to the maturation of the aPC pyramidal cells.
Methods: We performed in vitro patch-clamp recordings of the aPC pyramidal neurons from P5-P8 (<P10) and P14-P17 (>P10) age rat pups (experiments approved by CEUA-UFRGS No 27961/2014). We measure the intrinsic properties of aPC pyramidal cells. Then, we modeled an < P10 OB-aPC artificial neural circuit and conditioned it to an odor (maternal odor) associated with NE activation (mimicking maternal care stimulation) and then we evaluated the response to the exposure of the conditioned odor in the < P10 circuit and in the switched > P10 circuit. We measured the activity of pyramidal cells during and after conditioning protocols. Data were analyzed using unpaired Student´s t-test.
Results: The mean (± SEM) of passive (<P10 vs > P10, n= 9-10 cells, Vm (mV):−39.22 ± 1.89 vs −54.35 ± 0.66; Rin (MΩ):438.6 ± 33.15 vs 177.1 ± 14.44; τm (ms):42.78 ± 4.17 vs 30.33 ± 1.69; Cm (pF):98.21 ± 7.16 vs 178.1 ± 10.83) and active (P10 vs > P10.Vthresh(mV):−36.63 ± 1.35 vs −45.96 ± 1.80; APhalf-width (ms):4.32 ± 0.33 vs 2.97 ± 0.09) electrical properties of aPC pyramidal cells was changed significantly from P10 vs > P10 (p< 0.01). In the simulations, the response of the > P10 circuit to the conditioned odor was reduced compared to the < P10 circuit (< P10 vs > P10: mean of the cumulative number of active pyramidal cells (165 vs 31) and mean of the cumulative number of spikes (316 ± 0.94 vs 33)), suggesting that at > P10 the reduced number of responsive neurons to the conditioned (maternal) odor might not be coincidentally activated for a second conditioned odor.
Conclusions: Our results suggest that the maturation of pyramidal cells in aPC may be sufficient to explain the end of early olfactory learning in rats.
Funding support: CAPES, CNPq
4ta REUNION DE SISTEMAS COMPLEJOS Ciencias Cognitivas y Cognotecnologias
Cognitive Science and Cognotecnologies
OBJETIVOS DE LA 4ta REUNION DE SISTEMAS COMPLEJOS
Ciencias Cognitivas y Cognotecnologias Lima, 13 y 14 de Julio del 2012
Laboratorio de Neurociencia y Comportamiento Universidad Peruana Cayetano Heredia
ANTECEDENTES
1era Reunión de Sistemas Complejos (Laboratorio de Neurociencia y
Comportamiento, Facultad de Medicina UPCH)
2da Reunión de Sistemas Complejos (Colegio de Psicólogos del Perú, Lima1)
3era Reunión de Sistemas Complejos. Psicología Social Computacional
(Laboratorio de Neurociencia y Comportamiento, Facultad de Medicina UPCH)
OBJETIVOS DE LA 4ta REUNION DE SISTEMA COMPLEJOS
Establecer preguntas de desarrollo sobre el futuro de la neurociencias y sistemas complejos a partir de las presentaciones realizadas
Discutir sobre el desarrollo de Tecnologías en Ciencias Cognitivas y Sistemas Complejos
PARTICIPANTES EXPOSITORES
Luis Ángel Aguilar Mendoza- Laboratorio de Neurociencia y Comportamiento UPCH
Keitel Cervantes - Molecular Robotics Laboratory, Tohoku Unversity Japon
Diego Pacheco- Princeton Neuroscience Institute, Princeton University, USA
David Achanccaray -Grupo de Investigacion de Sistemas de Control e Intelligencia Artificial, Mecatronica UNI; Lab de Neurociencia y Comportamiento, UPCH
Anthony Ariza- Laboratorio de Neurociencia y Comportamiento UPCH
Arturo Deza -Lab and the Center for BioImage Informatics. University of California, Santa Barbara. USA
Grace E. Pardo - Dpto de Fisiologia, Lab de Neuroendocrinología Universidade Federal do Rio Grande do Sul, Brasil.
Carlos Mugruza - Cognitive Electrophysiology Laboratory, School of Psychology. The University of Dundee. UK
Javier Loza – Facultad de Medicina UPCH, Facultad de Ing.Mecánica UNI.
Luis Hernández - Computational Biology, Yale University, USA
Rocio Caja - Matemática Pura, Facultad de Matematica UNMSM
Karim Salazar – Facultad de Ciencias UPCH, Texas A&M University, USA
Nabilt Moggiano - Facultad de Física UNMSM, Geofísica DHN-Marina de Guerra del Perú
Christian Flores- Departamento Ingeniería Electrónica, UTP
Abraham Zamudio - Escuela Profesional de Matemáticas UNI
Enver Oruro - Laboratorio de Neurociencia y Comportamiento UPCH
INVITADOS ESPECIALES
José Burgos Triano
Centro de Estudios e Investigaciones en
Comportamiento(CEIC) Universidad de Guadalajara, México
DIRIGIDO A
Estudiantes, docentes universitarios e investigadores de Psicología, Mecatrónica,
Biología, Física, Matemática, Medicina, Ingeniería de Sistemas, Computación
Científica, Ciencias de la Computación, Ciencias Cognitivas, Neurociencia y Sistemas
Complejos.
INSCRIPCION:
La participación al evento no tiene costo, pero tiene vacantes limitadas. Puede inscribirse enviando un mail a enveroruro@neurocienciaperu.org Hasta el 8 de Julio del 2012.
1. Nombre, Apellido y No de DNI:
2. Universidad y Nombre de la Facultad: y Año de Estudios:
3. Qué le gustaría investigar (opcional)
O directamente en
https://docs.google.com/spreadsheet/viewform?formkey=dDhrakVwbXZCN1k0SVQzU3JBQWhhaWc6MQ#gid=0
Pueden inscribirse alumnos en estudios universitarios, estudiantes de posgrado, docentes universitarios e investigadores.
APOYOS:
PhD Luis Aguilar Mendoza
Universidad Peruana Cayetano Heredia - Universidad de Salamanca
PhD Roxana López Cruz
Universidad Nacional Mayor de San Marcos - Arizona State University
PhD Carlos Mugruza
Pontificia Universidad Católica del Perú - The University of Dundee UK
PhD Nicolás Medina Curi
Universidad Nacional Mayor de San Marcos - Universidade Estadual de Campinas
MSc David Achanccaray
Universidad Nacional de Ingeniería - PUC de Río de Janeiro, Brasil
PhD Jose Luis Cordeiro
Massachusetts Institute of Technology (MIT) - Singularity University. NASA Ames
organizado por
Enver Oruro y Grace Pardo
Programa RSC4Cognitive Science and Complex Systems (1).pdf2015 Chair of “e-session on Neuroscience and Behavior” UNESCO UniTwin CS-DC’15
CS-DC’15 (Complex Systems Digital Campus ’15 – World e-Conference) is organizing the e-satellites of CCS’15, the international Conference on Complex Systems. It is devoted to all scientists involved in the transdisciplinary challenges of complex systems, crossing theoretical questions with experimental observations of multi-level dynamics. CCS’15 is organized by the brand new ASU-SFI Center for Biosocial Complex Systems. Arizona State University, (USA) from Sept 28 to Oct 2, 2015, in close collaboration with the Complex Systems Society and the Santa Fe Institute. from http://cs-dc-15.org/
Seminar in Experimental and Computational Studies on Mother-Infant Relationship
October 8 and 15, 2019 | 9:00 am to 5:00 pm | ICBS, UFRGS, Porto Alegre, Brazil
Hosts: Enver Oruro and Grace Pardo
Description
Determine the neural pathways by which the nervous system of the neonates establish attachment with their mothers is a problem that has motivated hypothesis and experiments at several scale levels, from neurotransmission to ethological level.
Goals:
- Provide an understanding of the neural basis of the mother-infant attachment and show the use of the computational modeling for unified hypothesis tests at different scale levels.
- Identify strategic questions that can be studied using modeling and computational simulation approach
- Discuss challenges and a road map for the integration of experimental studies and complex system simulation.
Previous event
“Mother-Infant Attachment and Supercomputing”, Thursday, August 09, 2018 NY. USA and Porto Alegre, Brazil.
Topics
Maternal behavior
Neural development
Electrophysiology
Odor Preference Learning
Agent based modeling
Computational neuroscience
Speakers
The speakers are very enthusiastic young researchers in the field. They will provide talks of 45 min about their recent research findings, and continued with a lively discussion with the participants.
Débora Czarnabay, PhD (s). Physiology Graduate Program, Basic Physiology and Cognition Laboratory, Department of Physiology, ICBS, UFRGS, Porto Alegre, Brazil.
Enver Oruro. PhD (s). Neuroscience Graduate Program UFRGS. Neurocomputational and Language Processing Laboratory, Institute of Physics. Neurophysiology and Neurochemistry of Neuronal Excitability and Synaptic Plasticity Laboratory, Department of Biochemistry. ICBS, UFRGS, Porto Alegre, RS, Brazil
Gustavo Soroka, MSc (s). Neuroscience Graduate Program, UFRGS, Neurocomputational and Language Processing Laboratory, Institute of Physics, UFRGS, Porto Alegre, Brazil.
Joaquin Gonzalez, MSc(s) Neuroscience Graduate Program, Neurobiology of Sleep Laboratory, Departamento de Fisiologıa de Facultad de Medicina, Universidad de la Republica, Montevideo, Uruguay.
Thais Ferreira de Barros, PhD (s). Neuroscience Graduate Program, Behavioral Neuroendocrinology Laboratory, Department of Physiology, ICBS, UFRGS, Porto Alegre, Brazil
Andréa Dulor Finkler, PhD. Universidade Luterana do Brasil, ULBRA, Porto Alegre, Brazil.
Grace Pardo, PhD. Department of Physiology, ICBS, UFRGS, Porto Alegre, Brazil. Centre for Interdisciplinary Science and Society Studies, Universidad de Ciencias y Humanidades, Lima, Peru.
Contact: Enver Oruro envermiguel@gmail.com
Grace Pardo grace.pardo@gmail.com
Seminar in Experimental and Computational Studies on Mother-Infant Relationship
October 8 and 15, 2019 | 9:00 am to 5:00 pm | ICBS, UFRGS, Porto Alegre, Brazil
Hosts: Enver Oruro and Grace Pardo
PROGRAM
October 8, 2019
9:00am | Enver Miguel Oruro, PhD (s)
Neuroscience Graduate Program, UFRGS, Brazil
Title: “Basic neural circuits for the learning of the approximation to the maternal odor. An operant hypothesis”.
10:00am | Grace Pardo, PhD
Centre for Interdisciplinary Science and Society Studies, UCH, Peru.
Title: “A computational model for maternal odor learning during the sensitive period of attachment”
11:00pm | Debora Czarnabay, PhD (s)
Physiology Graduate Program, Physiology Department, UFRGS, Brazil
Title: “Early-life maternal separation stress and neural development”
12:00m | Lunch
1:15pm| Gustavo Soroka, MSc (s)
Neuroscience Graduate Program, UFRGS, Brazil
Title: “Theta-gamma oscillations and information processing”
2:00pm | Andréa Finkler, PhD
ULBRA, Brazil
Title: “Effects of repeated cross-fostering on maternal behavior and olfactory preference in infant rats”
2:45pm | Roadmap 1
October 15, 2019
9:00am | Joaquin Gonzalez, MSc(s), Neuroscience Graduate Program, Universidad de la Republica, Uruguay.
Title: “Permutation entropy and temporal complexity during wakefulness and sleep”
9:45am | Grace Pardo, PhD
Centre for Interdisciplinary Science and Society Studies, UCH, Peru.
Title: “Possible role of the GABAergic input in the olfactory cortex in the maternal odor learning in infant rats”
10:30am | Debora Czarnabay, PhD (s)
Physiology Graduate Program, Physiology Department, UFRGS, Brazil
Title: “Does early-life stress affects the brain communication pattern and neuronal network?”
11:15am| Thaís Ferreira de Barros, PhD(s)
Neuroscience Graduate Program, UFRGS, Brazil
Title: “Role of gut microbiota in pre and postnatal development”
12:00pm | Lunch
1:15pm | Grace Pardo, PhD
Centre for Interdisciplinary Science and Society Studies, UCH, Peru.
Title: “Attachment formation in a natural environment. An experimental and computational hypothesis”.
2:00pm| Enver Miguel Oruro, PhD (s)
Neuroscience Graduate Program, UFRGS, Brazil
Title: “Perspectives and challenges in infant attachment learning studies and supercomputing”.
2:45pm| Roadmap 2
Support
PhD Maria Elisa Calcagnotto
Neurophysiology and Neurochemistry of Neuronal Excitability and Synaptic Plasticity Laboratory, Department of Biochemistry. UFRGS, Porto Alegre, Brazil
PhD Marco Idiart.
Neurocomputational and Language Processing Laboratory, Institute of Physics
Federal University of Rio Grande do Sul, Brazil
PhD Yuefan Deng
Co-director of the Institute of Engineering-Driven Medicine at Stony Brook University NY,USA and National Supercomputer Center of China
PhD Paul Bourgine.
President UNESCO UniTwin CS-DC (Complex Systems Digital Campus), French National Centre for Scientific Research.
https://forum.comses.net/t/seminar-in-experimental-and-computational-studies-on-mother-infant-relationship/7801
Seminar in Maternal Infant Relationship Studies: Neuroscience and Artificial Intelligence
March 7 and 9, 2020 | 9:00 am to 5:00 pm | ICBS, UFRGS,8888 Porto Alegre, Brazil
Hosts: Débora Czarnabay, Grace Pardo and, Enver Oruro
Description
Determine the neural pathways by which the nervous system of the neonates establish attachment with their mothers is a problem that has motivated hypothesis and experiments at several scale levels, from neurotransmission to ethological level.
Goals
1. Discuss a Roadmap for mother-Infant relationship research in the framework of the UNESCO Complex System Digital Campus project.
2. Provide an understanding of the neural basis of the mother-infant attachment and show the use of the computational modeling for unified hypothesis tests at different scale levels.
3. Identify strategic questions that can be studied using the modeling and computational simulation approach
4. Explore future convergence scenarios for neuroscience and artificial intelligence through the construction of theoretical framework and realistic models in computational neuroscience
Previous events
2015: e-session on Neuroscience and Behavior - UNESCO UniTwin CS-DC’15. E-satellites of CCS’15, the International Conference on Complex Systems. ASU-SFI Center for Biosocial Complex Systems. Arizona State University (USA). http://cs-dc-15.org/e-tracks/cognition/#neuro-behavior
2018: Mother-Infant Attachment and Supercomputing, Thursday, August 09, NY. USA and Porto Alegre, Brazil.
2019: Seminar in Experimental and Computational Studies on Mother-Infant Relationship, ICBS / UFRGS, Porto Alegre, Brazil. https://www.comses.net/events/549/
Hosts
Débora Czarnabay, Grace Pardo and, Enver Oruro
Topics
Maternal Behavior
Neural Development
Neonatal Behavior
Electrophysiology
Odor Preference Learning
Agent-based Modeling
Computational Neuroscience
Artificial Intelligence
Learning and Memory
Speakers
The speakers are very enthusiastic young researchers in the field, they will provide talks of 45 min about their recent research findings, and it will continue with a lively discussion with the participants.
Amanda Stapenhorst, Ph.D. (s). Physiology Graduate Program, Department of Physiology, ICBS, UFRGS, Porto Alegre, Brazil; Centro de Terapia Gênica do Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
Guilherme Mascarenhas Fontes, UG. Basic Physiology and Cognition Laboratory, Department of Physiology, ICBS, UFRGS, Porto Alegre, Brazil.
Enver Oruro, Ph.D. (s).Neurocomputational and Language Processing Laboratory, Institute of Physics. Neurophysiology and Neurochemistry of Neuronal Excitability and Synaptic Plasticity Laboratory, Department of Biochemistry. ICBS, UFRGS, Porto Alegre, RS, Brazil
Débora Czarnabay, Ph.D. (s). Physiology Graduate Program, Department of Physiology, ICBS, UFRGS, Porto Alegre, Brazil. Basic Physiology and Cognition Laboratory, ICBS, UFRGS, Porto Alegre, Brazil; Stem Cell Research Institute, Porto Alegre, Brazil
Grace Pardo, PhD. Center for Interdisciplinary Science and Society Studies, Universidad de Ciencias y Humanidades, Peru; Center for Biomedical Research, Universidad Andina del Cusco, Peru.
Angel Arellano, Ph.D. (s). Neurobiology of Memory Lab, Neuroscience Graduate Program, ICBS UFRGS.
Arturo Deza, PhD. Cognitive and Neural Organization Lab, Department of Psychology, Center for Brain Science, Harvard University, Cambridge MA USA. Center for Brains, Minds and Machines, Massachusetts Institute of Technology MIT. USA
Rodrigo F. O. Pena, Ph.D. Federated Department of Biological Sciences, Institute for Brain and Neuroscience Research, New Jersey Institute of Technology, New Jersey, USA.
Contact: Enver Oruro envermiguel@gmail.com
Seminar in Maternal Infant Relationship Studies: Neuroscience and Artificial Intelligence
March 7 and 9, 2020 | 9:00 am to 5:00 pm | ICBS, UFRGS, Porto Alegre, Brazil
Hosts: Débora Czarnabay and Enver Oruro
PROGRAM
March 7, 2020
9:00 am | Enver Miguel Oruro, Ph.D. (s)
Neuroscience Graduate Program, ICBS, UFRGS, Brazil
Title: “Computational Neuroscience of Infant Maternal odor learning.”
10:00am | Débora Czarnabay, PhD (s)
Physiology Graduate Program, ICBS, UFRGS, Brazil
Title: “Changes in olfactory learning and neural development induced by disruptions in the mother-infant bonding.”
12:00 m | Lunch
2:00 pm | Guilherme Mascarenhas Fontes, UG
Basic Physiology and Cognition Laboratory, Department of Physiology, ICBS, UFRGS
Title: “Neonatal maternal separation: potential neurological and behavioral outcomes.”
2:40 pm | Grace Pardo, PhD
Center for Interdisciplinary Science and Society Studies, UCH, Peru; Center for Biomedical Research, Universidad Andina del Cusco, Peru.
Title: “Patch-clamp study and computational simulation for the understanding of the GABAergic function on attachment cortical circuit.”
3:20 pm | Amanda Stapenhorst, PhD (s),
Physiology Graduate Program, ICBS, UFRGS, Brazil
Title: ” Mother-infant relationship and neuroinflammation “
4:00 pm| Discussion
” Mother-infant separation: behavior, neuronal markers, neuroinflammation and its possible outcomes in later life. Can neurocomputing solve such complex puzzles?”
Chairs: Débora Czarnabay and Enver Oruro
March 9, 2020
9:00 am | Angel Arellano, PhD (s)
Neuroscience Graduate Program, ICBS, UFRGS, Brazil
Title: “Oxytocin and Memory Consolidation.”
10:00 am | Arturo Deza, PhD
Center for Brain Science, Harvard University. Center for Brains, Minds and Machines, Massachusetts Institute of Technology MIT. USA
Title: “Future of Computational Neuroscience and Artificial Intelligence.”
11:00am | Rodrigo F. O. Pena, PhD
Institute for Brain and Neuroscience Research, New Jersey, USA
Title: “Perspectives in biophysics and computational neuroscience”.
12:00 m | Lunch
2:00 pm | Enver Miguel Oruro, PhD (s)
Neuroscience Graduate Program, ICBS, UFRGS, Brazil
Title: “Strategies to use computational modeling in a biobehavioral approach of attachment.”
3:00 pm| Roadmap discussion for UNESCO Complex Systems Digital Campus project
Title: “Challenges in infant attachment learning studies and artificial intelligence.”
Chairs: Grace Pardo and Enver Oruro
Paul Bourgine, PhD
President UNESCO UniTwin CS-DC (Complex Systems Digital Campus), French National Centre for Scientific Research.
Salma Mesmoudi, PhD
Sorbonnes University Paris 1, Institut des Systèmes Complexes de Paris Île-de-France (ISC-PIF), Paris, France.
Teresa Salinas Gamero, MSc.
Executive Director IPCEM, Ricardo Palma University, Peru, Board member of UNESCO UniTwin Complex System Digital Campus
Support
Aldo B. Lucion. PhD
Neuroendocrinology Laboratory, Institute of Basic Health Sciences, Federal University of Rio Grande do Sul (UFRGS). Porto Alegre, Brazil
Salma Mesmoudi.PhD
Sorbonnes University Paris 1, Institut des Systèmes Complexes de Paris Île-de-France (ISC-PIF), Paris, France
Teresa Salinas Gamero. MSc
Executive Director IPCEM, Ricardo Palma University, Peru, Board member of UNESCO UniTwin Complex System Digital Campus
Marco Idiart. PhD
Leader of the Neurocomputational and Language Processing Laboratory, Institute of Physics
Federal University of Rio Grande do Sul, Brazil
Yuefan Deng. PhD
Co-director of the Institute of Engineering-Driven Medicine at Stony Brook University NY,USA and National Supercomputer Center of China
Paul Bourgine. PhD
President UNESCO UniTwin CS-DC (Complex Systems Digital Campus), French National Centre for Scientific Research, France
https://test-discourse.comses.net/t/seminar-in-maternal-infant-relationship-studies-neuroscience-and-artificial-intelligence/9217 https://sites.google.com/view/envermiguel/seminar-in-maternal-infant-relationship-studies
Lanet2022.pdf