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  1. Article ; Online: New

    Calin-Jageman, Robert J

    eNeuro

    2024  Volume 11, Issue 3

    MeSH term(s) Neurosciences
    Language English
    Publishing date 2024-03-14
    Publishing country United States
    Document type Editorial
    ZDB-ID 2800598-3
    ISSN 2373-2822 ; 2373-2822
    ISSN (online) 2373-2822
    ISSN 2373-2822
    DOI 10.1523/ENEURO.0048-24.2024
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Better Inference in Neuroscience: Test Less, Estimate More.

    Calin-Jageman, Robert J

    The Journal of neuroscience : the official journal of the Society for Neuroscience

    2022  Volume 42, Issue 45, Page(s) 8427–8431

    Abstract: Null-hypothesis significance testing (NHST) has become the main tool of inference in neuroscience, and yet evidence suggests we do not use this tool well: tests are often planned poorly, conducted unfairly, and interpreted invalidly. This editorial makes ...

    Abstract Null-hypothesis significance testing (NHST) has become the main tool of inference in neuroscience, and yet evidence suggests we do not use this tool well: tests are often planned poorly, conducted unfairly, and interpreted invalidly. This editorial makes the case that in addition to reforms to increase rigor we should test less, reserving NHST for clearly confirmatory contexts in which the researcher has derived a quantitative prediction, can provide the inputs needed to plan a quality test, and can specify the criteria not only for confirming their hypothesis but also for rejecting it. A reduction in testing would be accompanied by an expansion of the use of estimation [effect sizes and confidence intervals (CIs)]. Estimation is more suitable for exploratory research, provides the inputs needed to plan strong tests, and provides important contexts for properly interpreting tests.
    MeSH term(s) Research Design ; Neurosciences
    Language English
    Publishing date 2022-11-10
    Publishing country United States
    Document type Journal Article
    ZDB-ID 604637-x
    ISSN 1529-2401 ; 0270-6474
    ISSN (online) 1529-2401
    ISSN 0270-6474
    DOI 10.1523/JNEUROSCI.1133-22.2022
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Evidence of Active-Forgetting Mechanisms? Blocking Arachidonic Acid Release May Slow Forgetting of Sensitization in

    Calin-Jageman, Robert J / Gonzalez Delgadillo, Bryan / Gamino, Elise / Juarez, Zayra / Kurkowski, Anna / Musajeva, Nelly / Valdez, Leslie / Wittrock, Diana / Wilsterman, Theresa / Zarate Torres, Jashui / Calin-Jageman, Irina E

    eNeuro

    2024  Volume 11, Issue 4

    Abstract: Long-term sensitization ... ...

    Abstract Long-term sensitization in
    MeSH term(s) Animals ; Arachidonic Acid ; Aplysia
    Chemical Substances Arachidonic Acid (27YG812J1I)
    Language English
    Publishing date 2024-04-05
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2800598-3
    ISSN 2373-2822 ; 2373-2822
    ISSN (online) 2373-2822
    ISSN 2373-2822
    DOI 10.1523/ENEURO.0516-23.2024
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Cartoon Network Update: New Features for Exploring of Neural Circuits.

    Calin-Jageman, Robert J

    Journal of undergraduate neuroscience education : JUNE : a publication of FUN, Faculty for Undergraduate Neuroscience

    2018  Volume 16, Issue 3, Page(s) A195–A196

    Abstract: Cartoon Network is an open-source simulator for neural circuits. It allows students to playfully explore the remarkable complexity that emerges from networks of interacting neurons. This brief report describes four new features that have been added to ... ...

    Abstract Cartoon Network is an open-source simulator for neural circuits. It allows students to playfully explore the remarkable complexity that emerges from networks of interacting neurons. This brief report describes four new features that have been added to Cartoon Network: 1) the ability to save and load different networks, 2) the addition of bursting neurons, and 3) new accelerometer inputs for the Finch robot. In addition, new data from the National Institute of Teaching Psychology is reported showing that psychology faculty report strong interest in using Cartoon Network as a pedagogical tool. The updated version of Cartoon Network is available at: https://github.com/rcalinjageman/cartoon_network.
    Language English
    Publishing date 2018-09-15
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2577251-X
    ISSN 1544-2896
    ISSN 1544-2896
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: The New Statistics for Neuroscience Majors: Thinking in Effect Sizes.

    Calin-Jageman, Robert J

    Journal of undergraduate neuroscience education : JUNE : a publication of FUN, Faculty for Undergraduate Neuroscience

    2018  Volume 16, Issue 2, Page(s) E21–E25

    Abstract: An ongoing reform in statistical practice is to report and interpret effect sizes. This paper provides a short tutorial on effect sizes and some tips on how to help your students think in terms of effect sizes when analyzing data. An effect size is just ... ...

    Abstract An ongoing reform in statistical practice is to report and interpret effect sizes. This paper provides a short tutorial on effect sizes and some tips on how to help your students think in terms of effect sizes when analyzing data. An effect size is just a quantitative answer to a research question. Effect sizes should always be accompanied by a confidence interval or some other means of expressing uncertainty in generalizing from the sample to the population. Effect sizes are best interpreted in raw scores, but can also be expressed in standardized terms; several popular standardized effect score measures are explained and compared. Reporting and interpreting effect sizes has several benefits: it focuses on the practical significance of your findings, helps make clear the remaining uncertainty in your findings, fosters better planning for subsequent experiments, fosters meta-analytic thinking, and can help focus efforts on protocol optimization. You can help your students start to think in effect sizes by giving them tools to visualize and translate between different effect size measures, and by tasking them to build a 'library' of effect sizes in a research field of interest.
    Language English
    Publishing date 2018-06-15
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2577251-X
    ISSN 1544-2896
    ISSN 1544-2896
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: After

    Calin-Jageman, Robert J

    Journal of undergraduate neuroscience education : JUNE : a publication of FUN, Faculty for Undergraduate Neuroscience

    2017  Volume 16, Issue 1, Page(s) E1–E4

    Abstract: Statistical inference is a methodological cornerstone for neuroscience education. For many years this has meant inculcating neuroscience majors into null hypothesis significance testing ... ...

    Abstract Statistical inference is a methodological cornerstone for neuroscience education. For many years this has meant inculcating neuroscience majors into null hypothesis significance testing with
    Language English
    Publishing date 2017-11-15
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2577251-X
    ISSN 1544-2896
    ISSN 1544-2896
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Cartoon Network: A tool for open-ended exploration of neural circuits.

    Calin-Jageman, Robert J

    Journal of undergraduate neuroscience education : JUNE : a publication of FUN, Faculty for Undergraduate Neuroscience

    2017  Volume 16, Issue 1, Page(s) A41–A45

    Abstract: Cartoon Network is an open-source simulator for neural circuits. It was designed to provide a microworld for the playful exploration of neural networks (similar to the niche Logo/Scratch fills for computer programming). The simulator makes it easy to ... ...

    Abstract Cartoon Network is an open-source simulator for neural circuits. It was designed to provide a microworld for the playful exploration of neural networks (similar to the niche Logo/Scratch fills for computer programming). The simulator makes it easy to construct and experiment with closed-loop circuits, enabling students to explore how small sets of neurons can generate complex patterns of activity (oscillations, reverberation). Cartoon Network can be connected to the Finch robot from BirdBrain Technologies, a cheap USB robotics platform. This enables students to design a nervous system for a Finch, creating sensory neurons which read Finch inputs (touch, light, and temperature), motor neurons which control Finch outputs (wheels, lights, and sound), and interneurons to produce intrinsic activity and/or link together inputs and outputs in ways that can produce complex and surprising behaviors. Students use Cartoon Network by taking on structured challenges (For example, can you make the Finch follow a light? Can it turn and run when it bumps a wall?) that require deep engagement with important principles of neural circuit operation (e.g., lateral inhibition, parallel processing, positive- and negative-feedback). On successfully completing a challenge, students can systematically explore the neural properties that help control the behavior, compare their work to other successful designs, and/or reflect on how the circuit they designed might be modified via evolution to produce different behaviors. Cartoon Network has proven an engaging and effective activity for undergraduates and is accessible for students as young as late elementary school. Download it for free at: https://github.com/rcalinjageman/cartoon_network.
    Language English
    Publishing date 2017-11-15
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2577251-X
    ISSN 1544-2896
    ISSN 1544-2896
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Estimation for Better Inference in Neuroscience.

    Calin-Jageman, Robert J / Cumming, Geoff

    eNeuro

    2019  Volume 6, Issue 4

    Abstract: The estimation approach to inference emphasizes reporting effect sizes with expressions of uncertainty (interval estimates). In this perspective we explain the estimation approach and describe how it can help nudge neuroscientists toward a more ... ...

    Abstract The estimation approach to inference emphasizes reporting effect sizes with expressions of uncertainty (interval estimates). In this perspective we explain the estimation approach and describe how it can help nudge neuroscientists toward a more productive research cycle by fostering better planning, more thoughtful interpretation, and more balanced evaluation of evidence.
    MeSH term(s) Animals ; Cognition ; Epilepsy ; Housing ; Mice ; Pilocarpine ; Rats ; Seizures
    Chemical Substances Pilocarpine (01MI4Q9DI3)
    Language English
    Publishing date 2019-08-01
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 2800598-3
    ISSN 2373-2822 ; 2373-2822
    ISSN (online) 2373-2822
    ISSN 2373-2822
    DOI 10.1523/ENEURO.0205-19.2019
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: The New Statistics for Better Science: Ask How Much, How Uncertain, and What Else is Known.

    Calin-Jageman, Robert J / Cumming, Geoff

    The American statistician

    2019  Volume 73, Issue Suppl 1, Page(s) 271–280

    Abstract: The "New Statistics" emphasizes effect sizes, confidence intervals, meta-analysis, and the use of Open Science practices. We present 3 specific ways in which a New Statistics approach can help improve scientific practice: by reducing over-confidence in ... ...

    Abstract The "New Statistics" emphasizes effect sizes, confidence intervals, meta-analysis, and the use of Open Science practices. We present 3 specific ways in which a New Statistics approach can help improve scientific practice: by reducing over-confidence in small samples, by reducing confirmation bias, and by fostering more cautious judgments of consistency. We illustrate these points through consideration of the literature on oxytocin and human trust, a research area that typifies some of the endemic problems that arise with poor statistical practice.
    Language English
    Publishing date 2019-03-20
    Publishing country England
    Document type Journal Article
    ZDB-ID 2064982-4
    ISSN 1537-2731 ; 0003-1305
    ISSN (online) 1537-2731
    ISSN 0003-1305
    DOI 10.1080/00031305.2018.1518266
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Savings memory is accompanied by transcriptional changes that persist beyond the decay of recall.

    Perez, Leticia / Patel, Ushma / Rivota, Marissa / Calin-Jageman, Irina E / Calin-Jageman, Robert J

    Learning & memory (Cold Spring Harbor, N.Y.)

    2017  Volume 25, Issue 1, Page(s) 45–48

    Abstract: Most long-term memories are forgotten. What happens, then, to the changes in neuronal gene expression that were initially required to encode and maintain the memory? Here we show that the decay of recall for long-term sensitization memory ... ...

    Abstract Most long-term memories are forgotten. What happens, then, to the changes in neuronal gene expression that were initially required to encode and maintain the memory? Here we show that the decay of recall for long-term sensitization memory in
    MeSH term(s) Animals ; Aplysia ; Electroshock ; Ganglia, Invertebrate/metabolism ; Gene Expression Regulation ; Memory, Long-Term/physiology ; Mental Recall/physiology ; Microarray Analysis ; Motor Activity/physiology ; Neuronal Plasticity/physiology ; Reflex/physiology ; Transcription, Genetic ; Transcriptome
    Language English
    Publishing date 2017-12-15
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 1204777-6
    ISSN 1549-5485 ; 1072-0502
    ISSN (online) 1549-5485
    ISSN 1072-0502
    DOI 10.1101/lm.046250.117
    Database MEDical Literature Analysis and Retrieval System OnLINE

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