Literature DB >> 28690432

An Algebra-Based Introductory Computational Neuroscience Course with Lab.

Christian G Fink1.   

Abstract

A course in computational neuroscience has been developed at Ohio Wesleyan University which requires no previous experience with calculus or computer programming, and which exposes students to theoretical models of neural information processing and techniques for analyzing neural data. The exploration of theoretical models of neural processes is conducted in the classroom portion of the course, while data analysis techniques are covered in lab. Students learn to program in MATLAB and are offered the opportunity to conclude the course with a final project in which they explore a topic of their choice within computational neuroscience. Results from a questionnaire administered at the beginning and end of the course indicate significant gains in student facility with core concepts in computational neuroscience, as well as with analysis techniques applied to neural data.

Entities:  

Keywords:  MATLAB; computational neuroscience; computer programming; neural modeling

Year:  2017        PMID: 28690432      PMCID: PMC5480839     

Source DB:  PubMed          Journal:  J Undergrad Neurosci Educ        ISSN: 1544-2896


  4 in total

Review 1.  Teaching computational neuroscience.

Authors:  Péter Érdi
Journal:  Cogn Neurodyn       Date:  2015-03-21       Impact factor: 5.082

2.  A Series of Computational Neuroscience Labs Increases Comfort with MATLAB.

Authors:  David F Nichols
Journal:  J Undergrad Neurosci Educ       Date:  2015-10-15

3.  Using crickets to introduce neurophysiology to early undergraduate students.

Authors:  Ruben K Dagda; Rachael M Thalhauser; Raul Dagda; Timothy C Marzullo; Gregory J Gage
Journal:  J Undergrad Neurosci Educ       Date:  2013-10-15

4.  Research priorities. The NIH BRAIN Initiative.

Authors:  Thomas R Insel; Story C Landis; Francis S Collins
Journal:  Science       Date:  2013-05-10       Impact factor: 47.728

  4 in total
  3 in total

1.  An Interactive Simulation Program for Exploring Computational Models of Auto-Associative Memory.

Authors:  Christian G Fink
Journal:  J Undergrad Neurosci Educ       Date:  2017-11-15

2.  For the FUN of It.

Authors:  Bruce R Johnson
Journal:  J Undergrad Neurosci Educ       Date:  2017-11-15

3.  The Simpsons Neuron: A Case Study Exploring Neuronal Coding and the Scientific Method for Introductory and Advanced Neuroscience Courses.

Authors:  Katharine M Cammack; Thomas R Reppert; Denise R Cook-Snyder
Journal:  J Undergrad Neurosci Educ       Date:  2021-12-24
  3 in total

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