Evidence map›Paper›PMID 32116636›Full record

ArticleFrontiers in neurorobotics2020

Neurorobotics Workshop for High School Students Promotes Competence and Confidence in Computational Neuroscience.

Christopher A Harris, Lucia Guerri, Stanislav Mircic, Zachary Reining, Marcio Amorim, Ðorđe Jović, William Wallace, Jennifer DeBoer, Gregory J Gage

Abstract read
In one paragraph

Article in Frontiers in neurorobotics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
–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, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Developing and Implementing Low-Cost Remote Laboratories for Undergraduate Biology and Neuroscience Courses.Journal of undergraduate neuroscience education : JUNE : a publication of FUN, Faculty for Undergraduate Neuroscience · 2020
    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

9 authors.

Christopher A HarrisBackyard Brains, Inc., Ann Arbor, MI, United States.
Lucia GuerriLaboratory of Neurogenetics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, United States.
Stanislav MircicBackyard Brains, Inc., Ann Arbor, MI, United States.
Zachary ReiningBackyard Brains, Inc., Ann Arbor, MI, United States.
Marcio AmorimBackyard Brains, Inc., Ann Arbor, MI, United States.
Ðorđe JovićBackyard Brains, Inc., Ann Arbor, MI, United States.
William WallaceGeorgetown Day School, Washington, DC, United States.
Jennifer DeBoerSchool of Engineering Education, Purdue University, West Lafayette, IN, United States.
Gregory J GageBackyard Brains, Inc., Ann Arbor, MI, United States.

Funding

Introducing Neuroscience and Neurocomputation Concepts to High School Students using Brain-based NeurorobotsR43NS108850 · NINDS · BACKYARD BRAINS, INC. · PI GAGE, GREGORY JOHN, HARRIS, CHRISTOPHER AIDAN · 2018 to 2019
$698k
NINDS NIH HHS R43 NS108850
6 · The paper itself

Abstract

Understanding the brain is a fascinating challenge, captivating the scientific community and the public alike. The lack of effective treatment for most brain disorders makes the training of the next generation of neuroscientists, engineers and physicians a key concern. Over the past decade there has been a growing effort to introduce neuroscience in primary and secondary schools, however, hands-on laboratories have been limited to anatomical or electrophysiological activities. Modern neuroscience research labs are increasingly using computational tools to model circuits of the brain to understand information processing. Here we introduce the use of neurorobots - robots controlled by computer models of biological brains - as an introduction to computational neuroscience in the classroom. Neurorobotics has enormous potential as an education technology because it combines multiple activities with clear educational benefits including neuroscience, active learning, and robotics. We describe a 1-week introductory neurorobot workshop that teaches high school students how to use neurorobots to investigate key concepts in neuroscience, including spiking neural networks, synaptic plasticity, and adaptive action selection. Our do-it-yourself (DIY) neurorobot uses wheels, a camera, a speaker, and a distance sensor to interact with its environment, and can be built from generic parts costing about $170 in under 4 h. Our Neurorobot App visualizes the neurorobot's visual input and brain activity in real-time, and enables students to design new brains and deliver dopamine-like reward signals to reinforce chosen behaviors. We ran the neurorobot workshop at two high schools (

Indexed as

active learningbrain-based robotscomputational neuroscienceeducation technologyhigh schoolneuroroboticsneurorobotsworkshop

Identifiers

PMID32116636
PMCPMC7033397

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.