anne-urai

Tools

all kinds of random code tools

largescale_recordings

Urai AE, Doiron B, Leifer AM & Churchland AK (2022) Large-scale neural recordings call for new insights to link brain and behavior. Nature Neuroscience

pupil_preprocessing_tutorial

Preprocess EyeLink pupillometry data using the FieldTrip toolbox

2019_Urai_choice-history-ddm

Urai AE, de Gee JW, Tsetsos K, Donner TH (2019) Choice history biases subsequent evidence accumulation. eLife

2017_Urai_pupil-uncertainty

Urai AE, Braun A, Donner TH. (2017) Pupil-linked arousal is driven by decision uncertainty and alters serial choice bias. Nature Communications 8:14637.

lab_wiki

This is the lab wiki. For more info about our team, research, blog and publications see https://anneurai.net.

motion_energy_filtering

Urai AE & Wimmer K (2016). Spatiotemporal motion energy filtering: a Matlab implementation.

2018_BergtUrai_pupil-memory

Bergt A, Urai AE, Donner TH, Schwabe L (2018) Reading memory formation from the eyes. European Journal of Neuroscience

yarle

Yarle - The ultimate converter of Evernote notes to Markdown

2022_Urai_choicehistory_MEG

Urai & Donner (2022). Persistent Activity in Human Parietal Cortex Mediates Perceptual Choice Repetition Bias

plot_gitlab_ibl_data

course-content

Summer course content for Neuromatch Academy

Mentoring

Various tips and tools for students

anne-urai.github.io

behavenet

Behavioral and neural analysis toolbox based on https://papers.nips.cc/paper/9701-behavenet-nonlinear-embedding-and-bayesian-neural-decoding-of-behavioral-videos.pdf

cleanBib

Probabilistically assign gender and race proportions of first/last authors pairs in bibliography entries

climate_dataviz

Net-zero pathways and their predictions for CO2 and global temperatures

climate_psychology

Collected examples and resources for incorporating climate crisis and action into the psychology curriculum.

confidence_racemodel

simulate simple LCA, see if RTs scale with decision uncertainty

ddm_mediation

hddm

HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).

IBL-pipeline

DataJoint pipeline for IBL project

ibllib

IBL core shared libraries

iblscripts

Deployment scripts for ibl

Model-free_Model-based_Workshop

This folder contains all the material to be used in the FLUX 2021 Model-free and Model-based computational workshop

mouse_history_ddm

NSCI801-QuantNeuro

NSCI 801 (Queen's U) Quantitative Neuroscience course materials

seaborn

Statistical data visualization using matplotlib

slow_drift_correction

Fitting the model from Gupta & Brody to human behavioral data

tics-2020-tutorial

Tutorial on computational modeling and statistical model fitting part of the *Trends in Computational Neuroscience* graduate course of the University of Geneva (2020).