Topic: stimuli Goto Github
Some thing interesting about stimuli
Some thing interesting about stimuli
stimuli,Crowdsourced measurement of reaction times to audiovisual stimuli with various degrees of asynchrony.
User: bazilinskyy
Home Page: https://doi.org/10.1177/0018720818787126
stimuli,Framework for crowdsourced collection of eye gazes demonstrated in article Bazilinskyy, P., Dodou, D., & De Winter, J. C. F. (2021). Visual attention of pedestrians in traffic Scenes. Proceedings of AHFE 2021
User: bazilinskyy
stimuli,A Matlab class for generating motion clouds (spatio-temporal random textures).
User: cnuahs
stimuli,psychopy scripts for stimuli presentations
Organization: courtois-neuromod
stimuli,Things dataset fMRI stimuli
Organization: courtois-neuromod
stimuli,Scripts for data collection for the SA protocol for the dyscord lab
Organization: dyscord-lab
stimuli,We optimize SIEP algorithm in multiple intelligent agents scenario and comparatively research A*, DFS, BFS, Dijkstra, PFP and PRM.
User: gssfearless
stimuli,An R Package and Shiny App for generating matched stimuli for factiorial-design experiments.
User: jackedtaylor
Home Page: https://JackEdTaylor.github.io/LexOPSdocs/
stimuli,Adds pink noise in specified SNRs to audio file and normalizes volume
User: jorennig
stimuli,This tool is a symmetric stimuli generator that allows you to generate random dot symmetric images with different luminance, chromaticity, spacing and dot density conditions.
User: marcosmg95
stimuli,Create stimuli pools for psychological research
User: mario-bermonti
stimuli,Sine-wave Note Stimuli (SNS) is a collection of musical notes synthesised as sine waves, ranging two octaves (A3 to B5). Each note is 1000 ms long. Tones can be used as stimuli and fillers for all sorts of auditory experiments. The sine-wave tones can easily be manipulated -- be it chopped, stretched, concatenated, panned -- in Praat for different solutions.
User: mcanzi
stimuli,Mutual information between neural responses and stimuli: the case of noise correlations. Interactive web widget and tutorial! :)
User: michnard
Home Page: https://michnard.github.io/MI_max
stimuli,Synthesizing moving textures with parameterized features
Organization: neuralensemble
Home Page: https://neuralensemble.github.io/MotionClouds/
stimuli,Code to accompany our International Conference on Robotics and Automation (ICRA) paper entitled - Using variable natural environment brain-computer interface stimuli for real-time humanoid robot navigation.
User: nikk-nikaznan
Home Page: https://arxiv.org/pdf/1811.10280.pdf
stimuli,A Windows version of the Simon memory game, built in Unreal Engine 4 with and designed to characterize auditory and visual stimulus timings for potential use in neuroscience experiments.
User: orbitalhybridization
stimuli,Make Gapminder-style synthetic datasets
User: rafaveguim
Home Page: http://trendmaker.veras.works
stimuli,Aims to empower individuals to cultivate the habit of re-thinking and utilize subliminal stimuli to fulfill their aspiration of personal transformation for greater good.
User: rldumdum
Home Page: https://subliminals.xyz
stimuli,N-OS fork of AI, its purpose to empower business professionals with concepts and tools to aid them with their work, without replacing them.
User: rohanleach4
stimuli,A python wrapper for developing, organizing, and deploying vision science experiments.
User: scottharris17
stimuli,Voice stress analysis (VSA) aims to differentiate between stressed and non-stressed outputs in response to stimuli (e.g., questions posed), with high stress seen as an indication of deception. In this work, we propose a deep learning-based psychological stress detection model using speech signals. With increasing demands for communication between humans and intelligent systems, automatic stress detection is becoming an interesting research topic. Stress can be reliably detected by measuring the level of specific hormones (e.g., cortisol), but this is not a convenient method for the detection of stress in human- machine interactions. The proposed algorithm first extracts Mel- filter bank coefficients using pre-processed speech data and then predicts the status of stress output using a binary decision criterion (i.e., stressed or unstressed) using CNN (Convolutional Neural Network) and dense fully connected layer networks.
User: sidmulajkar
stimuli,Vision Lab Glaven Stimuli
Organization: skidvision
stimuli,an online variant of AVrateNG
Organization: telecommunication-telemedia-assessment
stimuli,A simple generator for parametrically varied 2d shape stimuli
User: timoflesch
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