Evidence map›Paper›PMID 34552436›Full record

ArticleJournal of undergraduate neuroscience education : JUNE : a publication of FUN, Faculty for Undergraduate Neuroscience2021

Teaching Computation in Neuroscience: Notes on the 2019 Society for Neuroscience Professional Development Workshop on Teaching.

William Grisham, Mathew Abrams, Walt E Babiec, Adrienne L Fairhall, Robert E Kass, Pascal Wallisch, Richard Olivo

Abstract read
In one paragraph

Article in Journal of undergraduate neuroscience education : JUNE : a publication of FUN, Faculty for Undergraduate Neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Comparative Investigations of the Neurophysiological Mechanisms of Escape Behavior: A Course-based Undergraduate Research Experience.Journal of undergraduate neuroscience education : JUNE : a publication of FUN, Faculty for Undergraduate Neuroscience · 2026
    Article
  2. Integrating Programming into Neuroscience Courses.Journal of undergraduate neuroscience education : JUNE : a publication of FUN, Faculty for Undergraduate Neuroscience · 2024
    Article
  3. An Introduction to the Proceedings of the 2020 FUN Summer Virtual Meeting.Journal of undergraduate neuroscience education : JUNE : a publication of FUN, Faculty for Undergraduate Neuroscience · 2022
    Article
  4. Moving Closer to the Way Neuroscience Education Was before the COVID-19 Pandemic.Journal of undergraduate neuroscience education : JUNE : a publication of FUN, Faculty for Undergraduate Neuroscience · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

William GrishamDepartment of Psychology, UCLA, Los Angeles, CA, 90095-1563.
Mathew AbramsInternational Neuroinformatics Coordinating Facility, Karolinska Institutet. Nobels väg 15A, Stockholm. Sweden SE-171 77.
Walt E BabiecNeuroscience Interdepartmental Program/Physiology, UCLA, Los Angeles, CA, 90095-1761.
Adrienne L FairhallDepartment of Physiology and Biophysics and Computational Neuroscience Center, University of Washington, Seattle WA 98195.
Robert E KassDepartment of Statistics & Data Science, Machine Learning Department, and Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA 15213.
Pascal WallischDepartment of Psychology, New York University, New York, NY 10003.
Richard OlivoDepartment of Biological Sciences, Smith College, Northampton, MA 01063.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The 2019 Society for Neuroscience Professional Development Workshop on Teaching reviewed current tools, approaches, and examples for teaching computation in neuroscience. Robert Kass described the statistical foundations that students need to properly analyze data. Pascal Wallisch compared MATLAB and Python as programming languages for teaching students. Adrienne Fairhall discussed computational methods, training opportunities, and curricular considerations. Walt Babiec provided a view from the trenches on practical aspects of teaching computational neuroscience. Mathew Abrams concluded the session with an overview of resources for teaching and learning computational modeling in neuroscience.

Indexed as

codingcomputational neuroscienceMATLABmodelingprofessional developmentprogrammingPythonSociety for Neuroscienceteaching workshop

Identifiers

PMID34552436
PMCPMC8437361

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.