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py_depthsampling

Python functions for visualising fMRI cortical depth sampling results created with CBS tools.

pyto_segmenter

Segmentation package for yeast fluorescence microscopy used in Weir et al. 2017

pytorch-3dunet

3D U-Net model for volumetric semantic segmentation written in pytorch

q4c-2018

qdspy

QDSpy - a Python software for scripting and presenting stimuli for visual neuroscience.

quantevfortrackmate

radialitymap

Splitting image to radial and non-radial components ImageJ macro

rapamycin_rejuvenates_oral_health_in_aging_mice

Rapamycin_rejuvenates_oral_health_in_aging_mice R Markdown

rapid

Risk Assessment Population and Identification

rateconchoicetask

rawconverter

re-fraction

read_cross_msg

Import MSG tsv files into r-qtl

readabilityinscience

readthroughpombe

Readthrough analysis in S. Pombe rrp6D and cut14-208 mutants

rec-gui

Real-Time Experimental Control with Graphical User Interface

recalibration-of-speech-categories

regseq

reinhard_2019

Code used for elife publication Reinhard*, Li* et al., 2019. DOI:

reinstatement_fidelity

The code found in this repository is that which has been used to conduct the analyses reported in "Alpha/beta power decreases track the fidelity of stimulus-specific information" [https://doi.org/10.1101/633107].

rep

(Prototype) Recentering and subboxing of particles.

rephetio-manuscript

Markdown source for the Project Rephetio Manuscript

representational_untangling

The repository contains materials for the e-Life paper: Merse E. Gáspár, Pierre-Olivier Polack, Peyman Golshani, Máté Lengyel, Gergő Orbán, Representational untangling by the firing rate nonlinearity in V1 simple cells. https://doi.org/10.7554/eLife.43625

reproductive_mode_te_dynamics

TE dynamics in yeasts with respect to reproduction mode.

rerconverge

Analysis of convergence between organismal traits and DNA/protein sequences

resrueolssca18

Source code to accompany: Resulaj A., Ruediger S., Olsen S.R., Scanziani M. "First spikes in visual cortex enable perceptual discrimination". eLife 2018.

retinaevolution

Depository for computer code, full data set, and trajectories. The trajectories are upper and lower panel from figure 6 plotted for each species. Lower panels are plotted with data points distributed equally along the x-axis (*_b.pdf) and with data points distributed according to time (*_c.pdf).

revas

Retinal Video Analysis Suite: a utility for generating reference frames and extracting eye position traces from retinal videos recorded via scanning laser ophthalmoscopes. It also includes a set of tools for classifying eye movements into drifts and (micro)saccades, and extracting detailed information about these eye movements.

reversereplaymodel_codes

Python/C++ codes for simulations in T Haga, T Fukai, Recurrent network model for learning goal-directed sequences through reverse replay

rgbshine

to normalize RGB images using SHINE toolbox function (Willenbockel, Verena, Javid Sadr, Daniel Fiset, Greg O. Horne, Frédéric Gosselin, and James W. Tanaka. 1132 2010. “Controlling Low-Level Image Properties: The SHINE Toolbox.” Behavior Research Methods 1133 42 (3): 671–84. doi:10.3758/BRM.42.3.671).