Graphical Experiment Builder Applications for Neuroscientists

•Download as PPTX, PDF•

0 likes•278 views

Technological Ecosystems for Enhancing Multiculturality

Track 1 - New Technologies in Health Education and Research Authors: Pablo Ruisoto, Alberto Bellido, Javier Ruiz, Juan A. Juanes and Silvia L. Vaca https://www.youtube.com/watch?v=GEKj2FUwVWI&list=PLboNOuyyzZ84QLeQL6RhwDMAH0id2tc4d&index=6

Graphical Experiment Builder Applications
for Neuroscientists
Pablo Ruisoto, PhD, Alberto Bellido, BA, Javier Ruiz, PhD, Juan A. Juanes, PhD, Silvia Vaca, PhD
Porto, October 7th, 2015

Background
Building and running experiments is a complex and frequent task for
psychologists and neuroscientists.
- Focus on the study of human responses to stimuli
- Requieres control settings and measurements of both accuracy and
response time

Background
PsytoolkitE- Prime 2 Psycope
GRAPHICAL INTERFACESSCRIPTING

Aim
To compare two of the main graphical application packages for building and
running experiments, from the perspective of a new user with no previous
knowledge
PROPIETARY VS OPENSOURCE
CODING VS POINT & CLICK
WIN, MAC, LINUX ONLY VS CROSS-PLATFORM
PsychoPy
OpenSesame

Methodology
OpenSesame
PsychoPy
Experiment instruction Stimuli presentation Collecting responses

PsychoPy
Flow area
Component areaExperiment design area

PsychoPy
Target properties Response properties

Opensesame
Experiment tree-shape structure

Opensesame
Spacial arrangement and properties of stimuli

Opensesame
Response properties and
variable specification

Conclusions
OpenSesame PsychoPy
Forms by Point & Click by Coding
Timeline display Order (tree display) True timeline
Spatial Stimuli display Yes (skethpad) No
Reaction time
registration
Yes Yes
Accuracy registration Yes Yes (by xlsx matrix)
Demos Yes Yes
Support Yes Yes
Eye tracker Yes Yes
Response boxes Yes Yes
Scripts python python
Bugs debug window error code

Conclusions
OpenSesame PsychoPy
Forms by Point & Click by Coding
Visual timing accuracy + (by milisec) ++ (by frames)
Timeline display Order (tree display) True timeline
Spatial Stimuli display Yes (skethpad) No
Reaction time
registration
Yes Yes
Accuracy registration Yes Yes (by xlsx matrix)
Demos Yes Yes
Support Yes Yes
Eye tracker Yes Yes
Response boxes Yes Yes
Scripts python python
Bugs debug window error code

Borton, J.K.S., Oakes, M.A., Van Wyk, M.E., Zink, T.A. 2007. Using PsyScope to conduct IAT
experiments on Macintosh computers. Behavior Research Methods, 39(4), 789-796.
Peirce, J.W. 2007. PsychoPy - Psychophysics software in Python. J Neurosci Methods, 162(1-2), 8-13.
doi: 10.1016/j.jneumeth.2006.11.017
Peirce, J.W. 2009. Generating stimuli for neuroscience using PsychoPy. Front Neuroinform, 2(2). doi:
10.3389/neuro.11.010.2008
Mathôt, S., Schreij, D., & Theeuwes, J. 2012. OpenSesame: An open-source, graphical experiment
builder for the social sciences. Behavior Research Methods, 44(2), 314-324. doi:10.3758/s13428-011-
0168-7
References

This document provides an overview of key components in an air conditioning system. It discusses how refrigerant is compressed by the compressor and flows through the condenser, thermal expansion valve, evaporator, and back to the compressor to complete the cooling cycle. It also describes the functions of the accumulator or receiver-drier in trapping moisture and debris and storing excess refrigerant liquid. The main differences between the accumulator and receiver-drier are their size and placement within an orifice tube versus expansion valve air conditioning system.

CURRICULUM VITAE

Peter John van der Merwe

Peter van der Merwe's curriculum vitae provides information about his personal details, education history, employment history, and personal interests. He holds a Bachelor of Arts degree in Social Sciences from the University of Stellenbosch. His work experience includes positions as a waiter, bartender, payroll clerk, and bartender again. In his personal time, he enjoys reading, exercise, spending time with animals, music, and recently took an interest in yachting while working in France.

календарне планування художня культура 11

Slovyansk School

форматування тексту

Slovyansk School

Home Depot Leadership

Mukesh Kulal

This document discusses leadership styles and Home Depot's leadership. It defines leadership as a relationship where one person influences others. There are three main leadership styles - autocratic, democratic, and free reign - that fall on a continuum from telling to joining subordinates. The document then examines Home Depot's leadership styles, which range from country club to middle of the road. It identifies strengths like increased commitment but also weaknesses such as unsatisfied customers. In conclusion, it recommends a more participative leadership style over authoritative approaches and focusing on long term goals and local markets.

Application of the 3D Slicer software in the Study of the Brain’s Ventricular...

Technological Ecosystems for Enhancing Multiculturality

Equinoderms

sluna3

Humss advocacy

nikkioro1999

The document discusses the Humanities and Social Science (HUMSS) strand. HUMSS includes academic disciplines that study aspects of human culture and society, such as the relationships between individuals. The HUMSS strand is designed to equip students with knowledge and skills required for degrees in fields like humanities, education, and social sciences. It covers topics such as world religions, creative writing, and Philippine politics and governance. The strand also prepares students for bachelor's degrees and careers that apply social science skills and enhance communication abilities, critical thinking, and understanding of ideas that have shaped civilizations.

A somewhat more verbose version of https://www.slideshare.net/JonathanRoss74/the-art-of-performance-tuning. Presented at JavaOne 2017 [CON4027], this presentation takes a practical, hands-on look at Java performance tuning. It discusses methodology (spoiler: it’s the scientific method) and how to apply it to Java SE systems (on any budget). Exploring concrete examples with tools such as the Oracle Java Mission Control feature of Oracle Java SE Advanced, VisualVM, YourKit, and JMH, the presentation focuses on ways of measuring performance, how to interpret data, ways of eliminating bottlenecks, and even how to avoid future performance regressions.

Testing practicies not only in scala

Paweł Panasewicz

Counterfactual Learning for Recommendation

Olivier Jeunen

2016 dg2

Shin Asakawa

- The document is a summary of a meeting about deep learning using Python. It includes an agenda of topics to be covered such as basic neural network concepts, cross entropy, convolutional neural networks, and trying Keras. - It also provides information about a Slack team created for further discussion and questions, and encourages participation. Prerequisites and explanations of key concepts like neurons and convolution are also summarized.

OpenML DALI

Joaquin Vanschoren

Building machine learning systems remains something of an art, from gathering and transforming the right data to selecting and finetuning the most fitting modeling techniques. If we want to make machine learning more accessible and foster skilfull use, we need novel ways to share and reuse findings, and streamline online collaboration. OpenML is an open science platform for machine learning, allowing anyone to easily share data sets, code, and experiments, and collaborate with people all over the world to build better models. It shows, for any known data set, which are the best models, who built them, and how to reproduce and reuse them in different ways. It is readily integrated into several machine learning environments, so that you can share results with the touch of a button or a line of code. As such, it enables large-scale, real-time collaboration, allowing anyone to explore, build on, and contribute to the combined knowledge of the field. Ultimately, this provides a wealth of information for a novel, data-driven approach to machine learning, where we learn from millions of previous experiments to either assist people while analyzing data (e.g., which modeling techniques will likely work well and why), or automate the process altogether.

TestWorksConf: Experience exploratory testing

Maaret Pyhäjärvi

Exploratory testing is a systematic approach that involves designing and executing tests to learn about a system in parallel. It relies on rigorous analysis techniques and testing heuristics to discover risks. The tester dynamically adapts their approach based on insights from previous experiments to inform future tests. Exploratory testing emphasizes self-directed learning and improving testing skills over time.

Ssbse12b.ppt

Ptidej Team

The document describes research into optimizing thread schedule alignments to expose interference bug patterns. It aims to maximize interference probability between threads using optimization algorithms like stochastic hill climbing and simulated annealing. Several synthetic and real-world multithreaded programs are tested with different search space dimensions. Results show the optimization algorithms, particularly simulated annealing, can find interference bugs faster than random testing as the search space increases in size.

Ssbse12b.ppt

Yann-Gaël Guéhéneuc

The document proposes an approach to optimize thread scheduling alignments to expose interference bugs. It evaluates random, stochastic hill climbing, and simulated annealing algorithms on synthetic and real-world multithreaded programs. Simulated annealing marginally outperforms stochastic hill climbing in larger search spaces at maximizing interference probability. Varying the search space dimension impacts algorithm performance.

Smooth running: ensure your systems training projects run without a hitch

Brightwave Group

This practical example-packed session covers everything learning teams need to consider ahead of, and during, a systems project of any shape or size. Presented by Brightwave's Head of Production Rachel Sefton-Smith, the session covers: • Gaining buy-in from the right internal stakeholders and teams • Agreeing UAT environment early on • Planning roll-out and training implementation • Compiling a realistic schedule • Planning and getting ahead - even if the system isn’t quite there • Dealing with timescale challenges This presentation was delivered by Rachel Sefton-Smith on Wednesday 28th January at Learning Technologies 2015.

AI and ML Skills for the Testing World Tutorial

Tariq King

Software continues to revolutionize the world, impacting nearly every aspect of our work, family, and personal life. Artificial intelligence (AI) and machine learning (ML) are playing key roles in this revolution through improvements in search results, recommendations, forecasts, and other predictions. AI and ML technologies are being used in platforms for digital assistants, home entertainment, medical diagnosis, customer support, and autonomous vehicles. Testing practitioners are recognizing the potential for advances in AI and ML to be leveraged for automated testing—an area that still requires significant manual effort. Tariq King and Jason Arbon introduce you to the world of AI for software testing. Learn the fundamentals behind autonomous and intelligent agents, ML approaches including Bayesian networks, decision tree learning, neural networks, and reinforcement learning. Discover how to apply these techniques to common testing tasks such as identifying testable features, generating test flows, and detecting erroneous states.

Predictive Testing

Herminio Vazquez

Jay Yagnik at AI Frontiers : A History Lesson on AI

AI Frontiers

We have reached a remarkable point in history with the evolution of AI, from applying this technology to incredible use cases in healthcare, to addressing the world's biggest humanitarian and environmental issues. Our ability to learn task-specific functions for vision, language, sequence and control tasks is getting better at a rapid pace. This talk will survey some of the current advances in AI, compare AI to other fields that have historically developed over time, and calibrate where we are in the relative advancement timeline. We will also speculate about the next inflection points and capabilities that AI can offer down the road, and look at how those might intersect with other emergent fields, e.g. Quantum computing.

制約解消によるプログラム検証・合成 (第1回ステアラボソフトウェア技術セミナー)

STAIR Lab, Chiba Institute of Technology

SMTソルバの発展により、整数、実数、リスト、配列といった様々なデータ上の論理制約を高速に解くことが可能となり、プログラム検証への応用が加速した。しかし、SMTソルバは関数上の論理制約を解くことができないため、ループや再帰関数を含むプログラムの検証やプログラム合成に直接応用することはできない。本講演では、最近盛んに研究されている関数上の制約解消問題であるSyGuS、CHCおよびそれらの一般化とプログラム検証・合成への応用について説明した後、関数上の制約解消法の一つである反例駆動帰納的合成法（CEGIS）について紹介する。CEGISはデータ駆動であるため、機械学習と相性がよい。本講演ではCEGISと機械学習の融合についても論じる。

Programming Paradigms

Directi Group

Extreme Programming practices for your team

Pawel Lipinski

This document discusses Extreme Programming (XP) practices for software development teams. It begins by introducing Paweł Lipiński and his background in software development. It then discusses several key XP practices in more detail, including having short iterations of less than 4 weeks, testing features at the end of each iteration, prioritizing work based on business value, maintaining burn down charts, and having no project managers disrupting the team. Further sections provide more context on practices like test-driven development, pair programming, collective code ownership, continuous integration, refactoring, and having a 40-hour work week. The document emphasizes that XP is about creating fun, high-quality, efficient teams through these agile practices.

Naive.pdf

MahimMajee

Naive Bayes is a simple classification technique based on Bayes' theorem that assumes independence between predictors. It works well for large datasets and is easy to build. Some key points: - It calculates the probability of class membership based on prior probabilities of classes and predictors. - It is commonly used for text classification like spam filtering due to its speed and accuracy. - Variants include Gaussian, Multinomial, and Bernoulli Naive Bayes for different data types. - Limitations include its assumptions of independence and inability to tune parameters, but it remains a popular first approach for classification problems.

How PVS-Studio does the bug search: methods and technologies

PVS-Studio

EVOLVE'15 | Flash Brief | Cat Reusswig | Adventures in AEM Upgrades

Evolve The Adobe Digital Marketing Community

Eyes or heart

Yevhen Rudiev

This document discusses two approaches to automating tests for Unity games: the Puppetry driver framework and image recognition using OpenCV. The Puppetry driver allows writing tests by finding and interacting with game objects, but requires knowledge of Unity-specific concepts. Image recognition finds elements by screenshotting and template matching, handling different resolutions and states, but lacks capabilities to directly check game state. Both approaches are debated in a fictional debate format comparing their speed, stability, maintenance, entry threshold, and abilities for new tests, layout testing, and more. While the Puppetry driver is faster to set up initially, image recognition requires learning appium but may scale better for complex games.

Preemptive RANSAC by David Nister.

Ian Sa

A Preliminary Study of Proof of Concept Practices and their connection with I...

Technological Ecosystems for Enhancing Multiculturality

Social networks as a promotional space for Spanish radio content. The case st...

Technological Ecosystems for Enhancing Multiculturality

This study analyzes the use of social networks like Facebook and Twitter by two major Spanish radio stations, Cadena SER and COPE, to promote their on-demand programming content. The study uses quantitative methods to analyze the number of followers and level of interaction for selected radio programs on each network's social media accounts. The results show that Twitter tends to have more impact than Facebook. The most followed COPE programs are about football on Facebook and cycling on Twitter, while the most followed SER programs are about football on Facebook and basketball on Twitter. In general, radio programs' use of social networks is heterogeneous, but social media can be a useful promotional tool, though not all programs maximize this potential.

Similar to Graphical Experiment Builder Applications for Neuroscientists

The Art Of Performance Tuning - with presenter notes!

Jonathan Ross

Testing practicies not only in scala

Paweł Panasewicz

Counterfactual Learning for Recommendation

Olivier Jeunen

2016 dg2

Shin Asakawa

OpenML DALI

Joaquin Vanschoren

TestWorksConf: Experience exploratory testing

Maaret Pyhäjärvi

Ssbse12b.ppt

Ptidej Team

Ssbse12b.ppt

Yann-Gaël Guéhéneuc

Smooth running: ensure your systems training projects run without a hitch

Brightwave Group

AI and ML Skills for the Testing World Tutorial

Tariq King

Predictive Testing

Herminio Vazquez

Jay Yagnik at AI Frontiers : A History Lesson on AI

AI Frontiers

制約解消によるプログラム検証・合成 (第1回ステアラボソフトウェア技術セミナー)

STAIR Lab, Chiba Institute of Technology

Programming Paradigms

Directi Group

Extreme Programming practices for your team

Pawel Lipinski

Naive.pdf

MahimMajee

How PVS-Studio does the bug search: methods and technologies

PVS-Studio

EVOLVE'15 | Flash Brief | Cat Reusswig | Adventures in AEM Upgrades

Evolve The Adobe Digital Marketing Community

Eyes or heart

Yevhen Rudiev

Preemptive RANSAC by David Nister.

Ian Sa

Similar to Graphical Experiment Builder Applications for Neuroscientists (20)

The Art Of Performance Tuning - with presenter notes!

Testing practicies not only in scala

Counterfactual Learning for Recommendation

2016 dg2

OpenML DALI

TestWorksConf: Experience exploratory testing

Ssbse12b.ppt

Smooth running: ensure your systems training projects run without a hitch

AI and ML Skills for the Testing World Tutorial

Predictive Testing

Jay Yagnik at AI Frontiers : A History Lesson on AI

制約解消によるプログラム検証・合成 (第1回ステアラボソフトウェア技術セミナー)

Programming Paradigms

Extreme Programming practices for your team

Naive.pdf

How PVS-Studio does the bug search: methods and technologies

EVOLVE'15 | Flash Brief | Cat Reusswig | Adventures in AEM Upgrades

Eyes or heart

Preemptive RANSAC by David Nister.

More from Technological Ecosystems for Enhancing Multiculturality

A Preliminary Study of Proof of Concept Practices and their connection with I...

Technological Ecosystems for Enhancing Multiculturality

Social networks as a promotional space for Spanish radio content. The case st...

Technological Ecosystems for Enhancing Multiculturality

Towards the study of sentiment in the public opinion of science in Spanish

Technological Ecosystems for Enhancing Multiculturality

A Three-Step Data-Mining Analysis of Top-Ranked Higher Education Institutions...

Technological Ecosystems for Enhancing Multiculturality

This document presents a three-step process for analyzing the communication strategies of top-ranked higher education institutions on Facebook. The first step characterizes each institution's editorial policy and audience response patterns. The second step compares the institutions using created metrics. The third step uses random forests to predict future engagement, sentiment, and response based on past posts. The process was applied to the top 5 universities in the QS World University Rankings and found accuracy above 80% for predictions, allowing recommendations on effective communication strategies.

Specifics of multimedia texts in the context of social networks media aesthetics

Technological Ecosystems for Enhancing Multiculturality

This document discusses multimedia texts in social networks and media aesthetics. It begins by noting that 97 million people in Russia use VKontakte each month. New media is changing how mass communication works by forming media aesthetics - both how aesthetic values are interpreted in media culture and how communication is constructed using multimedia. Multimedia texts on social networks combine different sign systems like text, pictures, audio and video. Users learn to communicate and create complex multimedia texts through practices like language play, precedents, irony and collages. A case study analyzed two news messages on VKontakte about an expedition, finding the multimedia one was more engaging and interactive for users. The conclusion is that multimedia texts are native to media aesthetics and social

Combined Effects of Similarity and Imagined Contact on First-Person Testimoni...

Technological Ecosystems for Enhancing Multiculturality

Direct online political communication effects on civil participation in spain...

Technological Ecosystems for Enhancing Multiculturality

The document summarizes an experimental study that tested the effects of direct online political communication on civic participation in Spain. It describes a 2x2 experiment that manipulated levels of conflict and interactivity in online political messages. Results showed that highly interactive messages had a greater impact on attention to elections when conflict was high versus low. Additionally, political interest mediated the relationship between interactivity and civic engagement. However, levels of conflict did not significantly influence political interest or civic participation. The study partly supported the hypothesis that political interest moderates effects of online communication on participation.

University Media in Ecuador: Types, Functions and Self-determination

Technological Ecosystems for Enhancing Multiculturality

The document analyzes university media in Ecuador, including their models, types, functions, and self-determination. It identifies the most common models as institutional media managed by communication departments or faculties for student participation. The primary functions of Ecuadorian university media are to provide practical learning, promote the university brand, disseminate knowledge, support education, and address social issues. Results found the majority consider themselves public or mixed community-public/private, with self-determination being an important aspect.

Like it or die: using social networks to improve collaborative learning in hi...

Technological Ecosystems for Enhancing Multiculturality

Framing theory in studies of environmental information in press

Technological Ecosystems for Enhancing Multiculturality

The document discusses how researchers have used framing theory in studies analyzing environmental information in press/media. It reviews 9 relevant articles on this topic. Most commonly referenced authors on framing theory are Entman, Tankard, Scheufele, and De Vreese. The studies integrate framing theory by analyzing framing elements like actors and sources in news coverage. Definitions of framing theory focus on how text can define issues and shape debate. Key elements accompanying framing theory discussed are frameworks and interpretation.

Domain engineering for generating dashboards to analyze employment and employ...

Technological Ecosystems for Enhancing Multiculturality

Mapping the systematic literature studies about software ecosystems

Technological Ecosystems for Enhancing Multiculturality

Tag-Based Browsing of Digital Collections with Inverted Indexes and Browsing ...

Technological Ecosystems for Enhancing Multiculturality

This document proposes a tag-based browsing system for digital collections that uses inverted indexes and a browsing cache to improve performance. Tags representing element-value pairs are used to filter resources. A browsing cache stores browsing states like filtered resources and selectable tags to speed up navigating when tag filters change. Preliminary experiments show the cache can substantially improve browsing speed over an uncached system using just inverted indexes, though with increased memory usage. Future work aims to integrate browsing automata and links between resources.

A Multivocal Literature Review on the use of DevOps for e-learning systems

Technological Ecosystems for Enhancing Multiculturality

Document Annotation Tools: Annotation Classification Mechanisms

Technological Ecosystems for Enhancing Multiculturality

Toward supporting decision-making under uncertainty in digital humanities wit...

Technological Ecosystems for Enhancing Multiculturality

Managing Uncertainty in the Humanities: Digital and Analogue Approaches

Technological Ecosystems for Enhancing Multiculturality

The PROVIDEDH project aims to give Digital Humanities scholars tools to explore research objects and the degree of uncertainty in models applied to data. It is an interdisciplinary project that will analyze and adapt approaches from other fields where computing has been applied more extensively. The goal is to standardize infrastructures, frameworks, models and tools across different humanities disciplines.

Representing Imprecise and Uncertain Knowledge in Digital Humanities: A Theor...

Technological Ecosystems for Enhancing Multiculturality

Dotmocracy and Planning Poker for Uncertainty Management in Collaborative Res...

Technological Ecosystems for Enhancing Multiculturality

Dotmocracy and Planning Poker are two techniques derived from digital culture that can help manage uncertainty in collaborative research projects. Dotmocracy allows researchers to visually prioritize topics through individual voting, revealing shared priorities. Planning Poker uses a consensus-based game to estimate effort for tasks, coordinating complex workflows. The techniques were applied in 9 research contexts involving 94 participants to discuss questions, methods, community interests, and task estimation. More study of techniques like these could improve collaborative decision-making and managing uncertainty in research teams.

Applying Commercial Computer Vision Tools to Cope with Uncertainties in a Cit...

Technological Ecosystems for Enhancing Multiculturality

More from Technological Ecosystems for Enhancing Multiculturality (20)