Identifying Data 2018/19
Subject (*) Fundamentals of neuroscience Code 614522015
Study programme
Mestrado Universitario en Bioinformática para Ciencias da Saúde
Descriptors Cycle Period Year Type Credits
Official Master's Degree 1st four-month period
Second Optional 3
Language
Spanish
English
Teaching method Face-to-face
Prerequisites
Department Ciencias Biomédicas, Medicina e Fisioterapia
Coordinador
Cudeiro Mazaira, F.Javier
E-mail
javier.cudeiro@udc.es
Lecturers
Cudeiro Mazaira, F.Javier
Rivadulla Fernandez, Juan Casto
E-mail
javier.cudeiro@udc.es
casto.rivadulla@udc.es
Web http://moodle.udc.es
General description Introducción o funcionamento do sistema nervioso, para que o estudante entenda conceptos como neuromodulación, redes neuronais, circuitos, etc dende un punto de vista fisiolóxico que lle permita logo aplicar estes coñecementos nas aproximacións teóricas ó sistema


Competencies
STUDY PROGRAMME COMPETENCES
TypeA Code  
  Job guided
  AJ3 CE3 – To analyze, design, develop, implement, verify and document efficient software solutions based on an adequate knowledge of the theories, models and techniques in the field of Bioinformatics
  AJ4 CE4 - Ability to acquire, obtain, formalize and represent human knowledge in a computable form for the resolution of problems through a computer system in any field of application, particularly those related to aspects of computing, perception and action in bioinformatics applications
  AJ7 CE7 - Ability to identify the applicability of the use of bioinformatics tools to clinical areas.
TypeB Code  
  Job guided
  BJ1 CB6 - Own and understand knowledge that can provide a base or opportunity to be original in the development and/or application of ideas, often in a context of research
  BJ2 CB7 - Students should know how to apply the acquired knowledge and ability to problem solving in new environments or little known within broad (or multidisciplinary) contexts related to their field of study
  BJ3 CB8 - Students to be able to integrate knowledge and deal with the complexity of making judgements from information that could be incomplete or limited, including reflections on the social and ethical responsibilities linked to the application of their skills and judgments
  BJ4 CB9 - Students should know how to communicate their findings, knowledge and latest reasons underpinning them to specialized and non-specialized audiences in a clear and unambiguous way
  BJ5 CB10 - Students should possess learning skills that allow them to continue studying in a way that will largely be self-directed or autonomous.
  BJ6 CG1 -Search for and select the useful information needed to solve complex problems, driving fluently bibliographical sources for the field
  BJ7 CG2 - Maintain and extend well-founded theoretical approaches to enable the introduction and exploitation of new and advanced technologies
  BJ8 CG3 - Be able to work in a team, especially of interdisciplinary nature
TypeC Code  
  Job guided
  CJ1 CT1 - Express oneself correctly, both orally writing, in the official languages of the autonomous community
  CJ4 CT4 - Be able to analyze the real situation, formulate and implement solutions based on knowledge and aimed at the common good and the exercise of open, educated, critical, committed, democratic and solidary citizenship.
  CJ6 CT6 - To assess critically the knowledge, technology and information available to solve the problems they face to.
  CJ8 CT8 - Rating the importance that has the research, innovation and technological development in the socio-economic and cultural progress of society

Learning aims

Contents
Topic Sub-topic
Introdución á estrutura e función básica do sistema nervioso Sinapsis
Neuronas
Circuítos.
Descrición do sistema nervioso como un sistema distribuído Áreas
Integración
Redes neuronais e integración .
Redes neuronais por defecto. Fisioloxía

Patoloxía
Análise teórica e modelización computacional das funcións do sistema nervioso Comprender cómo se fai unha modelización.
Práctica con neurosimulador.
Informe sobre a aplicación do proceso de modelización

Planning
Methodologies / tests Competencies Ordinary class hours Student’s personal work hours Total hours
Oral presentation B3 B4 B6 B7 B8 C1 C4 C6 C8 2 7 9
Workbook A3 A4 B1 B5 B6 B7 3 3 6
Laboratory practice A7 B2 7 7 14
Objective test A7 B2 B7 C4 2 15 17
Guest lecture / keynote speech A3 B3 B5 B7 7 14 21
 
Personalized attention 8 0 8
 
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies
Methodologies Description
Oral presentation Intervención inherente aos procesos de ensino-aprendizaxe baseada na exposición verbal a través da que o alumnado e profesorado interactúan dun modo ordenado, propoñendo cuestións, facendo aclaracións e expoñendo temas, traballos, conceptos, feitos ou principios de forma dinámica.
Workbook
Son un conxunto de textos e documentación escrita que se recolleron e editaron como fonte de profundización nos contidos traballados.
Laboratory practice Metodoloxía que permite que os estudantes aprendan efectivamente a través da realización de actividades de carácter práctico, tales como demostracións, exercicios, experimentos e investigacións.
Objective test A Proba obxectiva pode combinar distintos tipos de preguntas: preguntas de resposta múltiple, de ordenación, de resposta breve, de discriminación, de completar e/ou de asociación. Tamén se pode construír con un só tipo dalgunha destas preguntas.
Guest lecture / keynote speech Exposición oral complementada co uso de medios audiovisuais e a introdución de algunhas preguntas dirixidas aos estudantes, coa finalidade de transmitir coñecementos e facilitar a aprendizaxe.
A clase maxistral é tamén coñecida como “conferencia”, “método expositivo” ou “lección maxistral”. Esta última modalidade sóese reservar a un tipo especial de lección impartida por un profesor en ocasións especiais, cun contido que supón unha elaboración orixinal e baseada no uso case exclusivo da palabra como vía de transmisión da información á audiencia.

Personalized attention
Methodologies
Workbook
Oral presentation
Laboratory practice
Description
O alumno exporá un traballo científico, para a elaboración do mesmo contará co apoio individual do profesor.

As prácticas faranse en grupos reducidos onde os alumnos estarán dirixidos polo profesor á hora de realizar algunhas prácticas que doutra forma serían irrealizables e ininteligibles para o alumno.

Assessment
Methodologies Competencies Description Qualification
Guest lecture / keynote speech A3 B3 B5 B7
Asistenza e participación
10
Workbook A3 A4 B1 B5 B6 B7 Participación nas discusións.
Comprensión das lecturas
10
Oral presentation B3 B4 B6 B7 B8 C1 C4 C6 C8 Claridade da exposición
Comprensión dos contidos
Discurso coherente e ordeado
30
Objective test A7 B2 B7 C4 Coñecemento da materia 50
 
Assessment comments

Sources of information
Basic Bear, Connors, Paradiso (2016). Neurociencia. La exploración del cerebro . Altamar
Larry Squire (Editor), Darwin Berg (Editor), Floyd E. Bloom (Editor), Sascha du Lac (Editor), Anirva (2012). Fundamental Neuroscience, Fourth Edition . Academic Press
Kandel, E (2012). principles of neural science . McGraw-Hill Education
Hines, M. (1992). “NEURON—A program for simulation of nerve equations”. In: Neural Systems: Analysis and Modeling. p. 127-136. F. Eeckman. Norwell, MA: Kluwer
Hines, M. (1994). “The NEURON simulation program”. In: Neural Network Simulation Environments, p. 147-163.. J. Skrzypek. Norwell, MA: Kluwer
Carnevale, N.T. & Hines, M.L. (1997). "The NEURON simulation enviroment". 1179-1209.. Neural Computation 9

Complementary



Recommendations
Subjects that it is recommended to have taken before

Subjects that are recommended to be taken simultaneously

Subjects that continue the syllabus

Other comments


(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.