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f48e64367bc6c1b92dfd79e74b707d8e35f6bf52dcd1d990564f5315f71600c2 | Stan | 4,691 | 156 | functions {
real partial_log_lik(array[,] int choice_slice,
int start, int end,
array[,] int reward,
array[,] real L,
array[] real persev,
array[] real S,
array[] real alpha,
... |
3964b8ee721a0864f3da10b74a87794674d2c18ceaf27a6044f4574fb6c7984a | Stan | 4,961 | 163 | functions {
real partial_log_lik(array[,] int choice_slice,
int start, int end,
array[,] int reward,
array[] real persev,
array[] real alpha,
array[] real beta,
int nTrials) {
... |
d36a40cbb3ab23058adda1abb2e7262b801944c3593205a57909b58020d0deb6 | Stan | 5,187 | 164 | functions {
real partial_log_lik(array[,] int choice_slice,
int start, int end,
array[,] int reward,
array[] real alpha_q,
array[] real alpha_v,
array[] real persev,
array[] real b... |
435e80e7476737ddf62216e76623286e2780834ea0f997daee7db6c9cf70b190 | Stan | 5,842 | 182 | functions {
real partial_log_lik(array[,] int choice_slice,
int start, int end,
array[,] int reward,
array[,] real L,
array[] real persev,
array[] real S,
array[] real alpha,
... |
0ed94856c3fba6545bce3b3eda405be6ef811d25c726c478db9922a93283ac1f | Stan | 6,500 | 194 | functions {
real partial_log_lik(array[,] int choice_slice,
int start, int end,
array[,] int reward,
array[] real alpha_q,
array[] real alpha_v,
array[] real persev,
array[] real b... |
dbef8b310cdc35277cb8baf636bd81d62558d10f29d581b46e8438e320eefa6f | Text | 8 | 1 | # DEM-SE |
da84a0ad77543ef1c0491aeab9f24bb7d1e1dec37e6f76483f41e94cbddafeba | Text | 10 | 1 | # Q-CatNet |
52f32087b7b8b3dc4f0d2b11064513725976bfd683696bfec4e23cadd67145b1 | Text | 12 | 1 | # sur1-trpm4 |
04c89891e3d03747f247ee7f5779159ba5941daf0f191084eb1cf108d4a0b715 | Text | 14 | 1 | # ALS_Multiome |
7b50e6c72ddde87da596a431886852a14596b884bef7ff9a9d641b5dc7e36c8d | Text | 16 | 1 | # RNAseq-scripts |
194bcf13bda22b4215a8b8560d09fb6cd5f0469d5477ed04b73bc5bbd652049f | Text | 21 | 1 | # cal-kir-bistability |
5055b6f004709a478c6a28a5878b096661ff54068f701bde2c30a4ed64b3d22c | Text | 21 | 1 | # Thalamus_Interictal |
6af53feb4ffe5448a4dfe67445106ddb40dc16eca10f18c832c4e694628d1bca | Text | 21 | 1 | # multimat-modernbert |
8ddb2a3974ffff0850196ff8e2339ca46bad6ec548b8f49d12267c29ad23f109 | Text | 23 | 1 | # FastAdaptationOfPIHTM |
1275a4bdba7dee705beafdb1a854f456b1a2df179323ab273b644e6c531a7d89 | Text | 27 | 1 | # In_vitro_ARC_VMH_analysis |
aff78f4d14998f17b4fd99d7b459b84c5d549deef83c81e46a7e83bc70ec5a83 | Text | 35 | 2 | # Wang and Shahid 2026
Matlab code
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214e572d44894efcfc3a5ba49bce225b3218fdbf019aa8273906f2c4f36d3feb | Text | 45 | 2 | # snakepit
Collection of snakemake workflows
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0d9a4fd87dcfb003aba4175cae7295c53d398cb9d59a913598a7732943080b50 | Text | 56 | 2 | # Peak_calling_DamID
Peak calling script for DamID data
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475cc3bc3170c074586f1ed0bbe872d4e7878e4053c583249a3285d0f00dc567 | Text | 58 | 2 | # Oral-Craniofacial-Atlas
The repository of the OCF Atlas
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5722722859a122f46e4f50ca971424912c06e000bcc58e9d1f407beba0f10b5d | Text | 64 | 2 | "# Autism-detection-using-MRI"
"# Autism-detection-using-MRI"
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b925206cc6502ff6802797a208f2da41e335a82bba97ccff9d24b1b701cb0bb1 | Text | 70 | 2 | # Homeostatic-Dendritic-Neuron
Codes for Homeostatic Dendritic Neuron
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b44a0aa7103cc55829218fce6e16fd0b0bfd0f1a188deba3edba91320598ec4e | Text | 79 | 3 | # ms-volest
Collection of scripts for brain volumetry estimation of PST paper. |
3c1ba867878f9bba3cd30bff9c48b3b5bd445cc4d2dd5630facf939ad1536839 | Text | 81 | 2 |
R codes (Rmarkdown files) for reproducing the figures in the SpNeigh manuscript
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b0afc30578191ecc5b2a0adae71f74547adba65cd93ea8758f5a19c10ee298e6 | Text | 83 | 2 | # Cai_etal_2026_Transl_Psychiatry
Code related to Cai etal 2026, Transl_Psychiatry
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4cae0960e58d94dfa6e2fdc710caff8d92f3cb67ba136f2e113d26e30a20642a | Text | 87 | 2 | # Trudeau-lab
Repository of the Louis-Eric Trudeau lab at the Université de Montréal
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a72a3bb401cf76fe968eec3c670255f991b5758cbc0bc31e738eb5453926ac63 | Text | 88 | 2 | # ABCD_Sleep_Paper
Code for the Sleep Paper - including data wrangling & analysis.
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7f1a8c0d7575edd5fa0a031c384dca5c083e5d1a9458028a5072730c363137b7 | Text | 91 | 1 | [](https://doi.org/10.5281/zenodo.19548058)
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cddbdeebbfe94eb29ac9ca2d96f13192c183c402aaec74fab5d43ca5ff74d28d | Text | 91 | 4 | shinobi_fmri
==============================
fMRI analysis of the cneuromod.shinobi dataset |
e34941852c741aaeb7ec537dffe330e08e69af616e89cd6780ee7d29fb5e768d | Text | 91 | 4 | # Rodriguez-2026
This repo is associated with the data for the paper by Rodriguez et al.
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7b2fdc877d18fae4628e4c0920b932c338e4cb9958db66a6b12e66c366af3e84 | Text | 94 | 1 | Python package for computing the transition frequency from theta to alpha band from MEEG data
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a33ab0cb1a3585d81b6383e16c64a5b991d68041e5c6bbb21f880cfb7b3dc40a | Text | 97 | 2 | # matlab_smote
Synthetic Minority Over-sampling Technique, DOI: https://doi.org/10.1613/jair.953
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646d2b8a18b92dd663ae3c105f571b1a6fb087dd10e4c0c88bf10660dde711d8 | Text | 101 | 1 | # Scripts-for-Brain-proteomic-responses-to-GCs-and-their-relationship-with-changes-in-gene-expression |
94daab106410a489772709627ea4acc6f61a25c88c6356741c037e9ee21423e6 | Text | 102 | 5 | bias
====
brain image analysis snippets
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16aa94c5f838c1b7980737da7d9aded344e412e3f3bd3993f5e4a347e84a025b | Text | 104 | 3 | # V1_morphOMICs
Contains Jupyter notebooks to replicate morphOMICs results in Venturino et. al. (202x)
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03186c17eb65a11991bbad92673170ce01ba7a5023443f3a4b637338980d7533 | Text | 105 | 3 | # Cheong_et_al_2024_eLife
Novel connectome analysis scripts for Cheong, Eichler, Stürner et al., 2024.
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2493f59102b194b0a0c719e135875207e2757962dc7a9e614c55d8fef66e29ce | Text | 108 | 2 | # rcs-simulation
Functions for simulating the signal processing and logic operations of the Medtronic RC+S.
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59a41514379c538cc84515afc2af0750db231a157d8b37049cf7e08bcf2f2994 | Text | 108 | 3 | # NCOMMS-25-13668B
Astrocyte activation in the ventrolateral medulla modulates breathing and arousal states |
d6556b92f58db5b2d5616ee247af2f163e64bd9aa1d39d111d7e4f7e93343657 | Text | 108 | 2 | # scRNA-seq
The custom code scripts used to analyze scRNA-seq and spatial transcriptome data for this study
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835beb4a252a2805bd234c904ea08677484bbb8a8794fe37b37e715550a5269f | Text | 111 | 2 | # Epilepsy_Rodent_Model_RNA
This study assessed the fidelity of rodent models to mesial temporal lobe epilepsy
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ebe6a4ba34d188dbd4b20ecff552a27a04acff54910f293810eba01c3c6651c8 | Text | 114 | 3 | # Champuru 2
To use this tool, go to [https://eeg-ebe.github.io/Champuru/](https://eeg-ebe.github.io/Champuru/).
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a4076e12944cc6a3863ead5a6ecda1ddeaef24d97ab69221c41a66a47d7909e3 | Text | 115 | 2 | # SPGanalysis
Sahni lab SPG analysis for Kaiser et al., 2025 https://www.researchsquare.com/article/rs-6150344/v1
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29e025aee5ee2b48c3e659581a419c586b7f03ada5273536adbe057566c58e2f | Text | 116 | 2 | The datasets are available at:
https://drive.google.com/drive/folders/1fFQMynrKOi5u5UeNrLVdf5fr_x-d9_eR?usp=sharing
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493d6c29fec906c8c7b8530e5361495c618ab8420c5347347778e96be6b760f6 | Text | 121 | 2 | # CompareXAI
A Comparative Analysis of Explainable AI (XAI) Techniques for Transparent and Reliable Image Classification
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54d7c4c2bf6ef80e4f02470bd821bc60637e06297b515277a06fdec703b10196 | Text | 123 | 4 | # FoldX-NN
Correcting FoldX free energy predictions with neural networks
### This repo is still a WIP and not finalized.
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d4cf1abb9cf6517fb46b4f8a1765e9f1451aa383da7d93f8d866e91f67a79a68 | Text | 127 | 2 | # Code-availability
Enhancing Anomaly-Based Zero-Day Attack Detection Framework Using CNN-Driven Feature Extraction and OC-SVM
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e64f335b90a2b261be59986e84537622f2fa1d4305d397e78a78e8584391545c | Text | 132 | 5 | # greedy
Very fast greedy diffeomorphic registration code.
## User Documentation
See https://sites.google.com/view/greedyreg/about
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bd372a82bcea667242fb9d2e68d6489e8191070a86776cb6263669398d366848 | Text | 137 | 2 | # scRNAseq_xenopus_regen_wills
Code repository for Angell Swearer et al., 2025. Biorxiv: doi: https://doi.org/10.1101/2025.11.10.687703
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bed9da6399fb961870ead33c6d92e9b04e922deb9d1f7f987403914cd4582d9f | Text | 137 | 3 | Streamlit wrapper around the MLMarker model.
Accessible through: https://mlmarker.streamlit.app/
or clone the repository and run Home.py
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8e48a9d23dac4efb1e70865dac0de945969c73f3cbec7820e5026f6d179a9af6 | Text | 138 | 2 | # suppression-analysis-code
Code for the analysis in 'Cortical responses to conflicting binocular stimuli in mouse primary visual cortex'
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82099640b33272961d82a2a7a106f33ab1f48c795d3a17fdac268bedf1a687c5 | Text | 139 | 2 | # BrassicaceaeAtlas
This repository is developed to host the codes used to compare single cell atlases from multiple Brassicaceae species.
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a4352eb975fdcd8cd05c057f61d82f7971116cf16a53ca1cf791c1f9e6cee60e | Text | 142 | 2 | # Multiphoton_Imaging_with_Computational_Specificity
Code and analysis for deep neural network predictions for label-free multiphoton imaging
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97bf326288353c71917ffcee370cb85da2a4f2f3c94043db5b10542a99c9690f | Text | 146 | 2 | # 3D-Mesh-Feature-Extraction
Geometric mesh feature extraction from 3D segmentations. Modality agnostic as long as segmentations in NIfTI format.
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b6ec46ccbeb256d5837ce5c879720131474caf2645e15303b11b52feb454e54f | Text | 147 | 2 | # Wittekindt et al. Analysis Code
Analysis code published in Wittekindt et al., 2025 (https://www.biorxiv.org/content/10.1101/2025.03.21.644605v1)
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189df057615d4996e20fb822c82a930e29655a71f187f6ca5a397a4b84b2f97d | Text | 150 | 2 | # AD_LatentFactor
Code of paper "Latent factor modeling reveals unexpected spatial heterogeneity in human Alzheimer’s disease brain transcriptomes"
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c5a867e96ec651c7909b94ffbfd7f3bf1536435f349bb30a63ecd818c9e5d077 | Text | 150 | 2 | # BP_paper_analysis
A repository containing all scripts used for the bioinformatic analysis of both mouse and human data described in our manuscript.
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6d23e067f812db0909172e61df2666f4296980d3aa54ca158cdf982a8b16dc56 | Text | 154 | 2 | # RET-Brain-Metastasis-Analysis
Source codes for "Targeting RET in Brain Metastases from Estrogen Receptor Positive Breast Cancer" Figure 1 and Figure S1
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0e9095482c10a07624a29241e9d3967fc65066a2bff35a1a0a461effdff2713a | Text | 155 | 4 | # scaling-population-coding
This repository contains the code base for the paper
"Population coding under the scale-invariance of high-dimensional noise"
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1843a99b63bc14904c5da1465040d1a2b18923728914fa866a9127b39bc924da | Text | 162 | 1 | STL files can be imported into any CAD software and customized as needed. Alternatively, STL files can be uploaded into a 3D printer slicer software for printing
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b2991a34ff7238cca9d47ce040077ae5dba90d3011dec4d4eef6ccfd63bd0bbb | Text | 168 | 2 | # DeepLipiDecipher
Official code repository for DeepLipiDecipher: A Knowledge-Guided Graph Neural Network for Lipidomics Analysis in Hyperlipidemic Acute Pancreatitis.
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ca65e3998a100d8ca8c36b0b852cd5a33a5ceb2c042532a4721f94de4e698b50 | Text | 172 | 2 | # monopolar_directional_beta
Comparison of methods for pseudomonopolar estimation of directional beta power from LFP data derived from chronically implanted STN DBS leads.
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c0b82ee06251c432a4c3c6f90d43417ba8637a43e87b70d48f2bf08fddb3d95f | Text | 173 | 2 | # AlvarezSalvado_ElementaryTransformations
Code for Alvarez-Salvado et al. "Elementary sensory-motor transformations underlying olfactory navigation in walking fruit flies"
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e7e8389164e0820885b3c73f3a9f16874576bb5e241a752d88cceb465da9cc5e | Text | 173 | 4 | # smuf
Data analysis software to track urine marks, as reported in Keller, Stowers et al., Nature Neuroscience, 2018
Please read SmufDataAnalysis.docx for more information
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6affb1a1c0e171e1c9a2475e2685ebe74be6b0d5c8863dd5d26d984d6ad8ef6c | Text | 174 | 2 | # stgemox_itm_mel_tma
The melanocytic transcriptomic state is independently associated with poor overall survival in long term follow up of patients with metastatic melanoma
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300cfa5d38453b90af152fc42eca2a3dd844d5d35cb80b2b62d93ccc049a169f | Text | 185 | 1 | Raw data for "Sub-second Extracellular Impedance Measurement of Epithelial Cell Monolayers using Step Excitations and Time-domain Analysis", submitted for review at Scientific Reports.
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100dbf91afa35f1c4c8eb3973132672c88df01510e88daa52f1ef7d5fb72ad45 | Text | 188 | 3 | # Prostate_MRI
These are the codes in our Radiology paper 'Diffusion-Time-Dependent Diffusion MRI for Quantitative Microstructural Mapping of Prostate Cancer: A Proof-of-Concept Study'
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bbdb009533dce0be0b994cec274c0278a8b9a98cd1b7bfdc8c784d0592aeaba7 | Text | 188 | 2 | # cerebellar-organoid-paper-code
This is a repo for code being published in a paper that is in submission, and they requested a DOI for the version used to generate the data in the paper.
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b1629469b44bc814c9bf26a603d9958538206d6359fb808352fc4d10ea9495f0 | Text | 197 | 3 | # OFF_PERIOD_INDUCTION_MATERIALS
Data analysis/plotting code and statistical source data for "Induction of cortical ON/OFF periods in awake mice fulfills sleep functions" (Driessen et al., 2025).
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ac36117b2347f92ae28722e6a549089c0160395c553ab0d4153a7aa2a2c1ae3c | Text | 201 | 3 | # Offset-Corrected-Tiki-Taka-RRAM-Implementation
Data and code for Implementation of Offset Corrected AGAD Algorithm on 130nm CMOS Technology-based RRAM Array for Analog Neural Network Training paper
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0612feb30d387e9f206f6fa60fd3d1b675251019ae70e242addb9b14c04403be | Text | 208 | 2 | # painperception
This is the raw data output and excel files used for the analyses reported in the manuscript "Exposure to false cardiac feedback alters pain perception ¬and anticipatory cardiac frequency."
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8984a7f7e7e8fdd4c7a367c2ff93a17c7eff312c72664d36cd9c0d7948a5e53f | Text | 209 | 6 | TODO:
- R^2 estimation
- not clear validity due to variability over segmentation tresholds?
- command line tool
- intersections over R comparison in 2D and 3D cases (two line plots superimposed)
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2f3200b77af2cfbff9f7a63c94fccc8c6f8213adc6c88c87537bc9986efc409b | Text | 212 | 3 | ## The Curated Gut Microbiome Metabolome Data Resource
For an overview of the resource and further details please check out our [Wiki](https://github.com/borenstein-lab/microbiome-metabolome-curated-data/wiki).
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6e06974f47d596b42674c7c2bd2c395aeeda4f6e6a327b6381dc0b3e3a7356a5 | Text | 212 | 2 | # CHCHD10-Alleviates-Alzheimer-s-Disease-Pathogenesis-by-Modulating-Epigenetic-Landscape-
CHCHD10 alleviates Alzheimer’s Disease Pathogenesis by Modulating Epigenetic Landscape in Directly Reprogrammed Neurons
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95279a23ece337918da33601241417bd8fb3553152f0053375e6fcce78da2b0e | Text | 214 | 1 | The data content of this project is licensed under the Creative Commons Attribution 1.0 Unported license, and the underlying source code used to analyze and display that content is licensed under the MIT license.
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e4f6942976317914cd5350fedcbd44176b2de3bd964a5535d875114c44935340 | Text | 214 | 3 | Please use the link to access our dataset: https://drive.google.com/drive/folders/1pIPTkPI2RWT5PKBC10CZj_ChUjr9dNry?usp=sharing
The covariance matrices have been uploaded to the root directory of this repository.
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eb83e28199ab29aeb24f14a7323b581939d1b96b1607105871f8574d7423eb47 | Text | 216 | 1 | This code was used to produce the results for the article 'The effect of physical activity on brain structure and cognitive function in the population-based cohort of LIFE-Adult Study', which was published in eLIFE.
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cad3aa9dbc4e8c3fff3fcadba1ab296ff1d22f37d35356996a56ba00f57c1172 | Text | 217 | 2 | # Neuronal-Analyses
Calcium signaling and random co-localization analyses used in the "DRP1 mutations associated with EMPF1 encephalopathy perturb the transcriptional profile and maturation of cortical neurons" paper
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c91f5ab1992b64997d261a849e77aed6e2d20044d761edefc455408968dcbd31 | Text | 219 | 2 | # TrackIt-LiteV2
This repository contains the source code behind TrackIt-LiteV2. Movement And Neuroscience Uses this app for a multitude of different fine motoric experiments. a Zenodo Citation will be available soon,.
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550b5f27272cb574e8ca18232adc47123961ea33431fc0666306568ec19fbbc1 | Text | 224 | 15 | # README
### What is this repository for?
* Data analysis codes associated with the manuscript "Intracellular neuronal recordings across DNA Tiles"
### Contact
* Please contact kjayant@purdue.edu for any questions
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8e87e3334d1bbcadf4e9ab0d8a3147c288e7c06ca46a74031823f66659bac47b | Text | 241 | 4 | # PKpredictionRat
This repository (PKpredictionRat) contains scripts and code used to generate figures and tables for scientific publication purposes.
The code is made available to support reproducible research and scientific transparency. |
360f79598b1bb8e087a1df541d6c7c47d5fd4d36d81295c1f20278bf15c0516e | Text | 247 | 1 | This repository contains the minimal dataset and code necessary to reproduce the differential gene expression analysis produced in the associated manuscript. The code to repeat the analysis can be found in deseq.R also present in this repository.
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06b634cdb63bc0e5e3c7272bbc5a7f3c7c8672c219e461ed33434afdc7dcda5a | Text | 249 | 6 | # SHape descriptor selected Extremal Regions after Morphologically filtering (SHERM)
Dependent packages:
- NIfTI_tools (https://www.mathworks.com/matlabcentral/fileexchange/8797-tools-for-nifti-and-analyze-image)
- VLFeat (http://www.vlfeat.org/)
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c6cdea6906552950c51fc2ba3ac5100bf0d524e047294e0cc5ff0918d3ff6f9b | Text | 251 | 2 | # pMI_BetaDesync_BrainCom
Analysis codes used for the study "Reduced Pre-movement Subthalamic Beta Desynchronization Marks Motor Deficit in Parkinson's Disease" by Gang Seo, Kevin B. Wilkins, and Helen M. Bronte-Stewart at Stanford University (2025).
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02db3ea07c751cf9d70fd533661695739f464355387138d33cea9ba4aeeccb86 | Text | 255 | 4 | # Das
Das et al 2026 Plos Bio DAM and Lipidomics Code
DAM folder contains R code and subfolders with DAM .txt data for different GAL4 drivers
Lipid folder contains R code and lipids (sphingolipids, phospholipids, TAG, FFA) in ng/brain and rel% of class
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c5c335115fdab32aaeea00a92f1fec9d7c79660e02c61fb863e3dba2a90116a3 | Text | 257 | 6 | ## Associated publication
Carneiro-Nascimento S, et al. (2026)
Intravital calcium imaging of meningeal macrophages reveals niche-specific dynamics and aberrant responses to brain hyperexcitability.
eLife 15:RP109888.
https://doi.org/10.7554/eLife.109888.3
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64aa5e1284488771811a82b3c346387ca59324119b457917b4dd9a2c26928ae7 | Text | 258 | 5 | This repository provides training and test datasets at five different Signal-to-Noise Ratios (SNRs).
The files are named data_train_noise_xxdB.csv and data_test_noise_xxdB.csv, where xxx represents the specific SNR value.
Details will be provided later.
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dcd3dbe704b0651962334252e0d9ed8e08d506a6864fc3c79df4936f294a7dec | Text | 258 | 4 | # Lung-Nodule-Segmentation-and-Classification
Implementation of Adaptive DenseNet with LSTM layer for Lung Nodule Classification Model in CT Images supported by 3D Trans-DenseUNet++-based Lung Nodule Segmentation
Note : Run Main.py file to see the results.
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d57e3d9a3329c81588e458a08dd14ec1dc5c5ed726f7964375577792abaf256e | Text | 259 | 5 | # Batchalign2
This version of Batchalign is no longer maintained. We are excited to introduce the next generation of Batchalign, which you may find at the below URL.
**[visit here](https://github.com/TalkBank/batchalign) to learn more and use Batchalign.**
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7168303916b703d560d255677325ec86de0decffa8fa5b070d1942fedf8b2735 | Text | 264 | 7 | # VirusMeta
## bioinformatics pipeline that is optimized for mining virus related sequences in metagenomic datasets generated by next generation High-Throughput sequencing technologies.
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da20e313e674180a7f17d7f6dd80e24c75a8b1a63b92453b8d92c33d7c9bed1d | Text | 266 | 8 | # NodoMap
The analysis scripts of mouse NodoMap transcriptomic dataset and publication is deposited in this repository.
NodoMap: a spatio-cellular map of the mouse nodose ganglia
# Data
The Seurat objects used in this pipeline are available on GEO at GSE296454.
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3c68588a9cd4a930c8b00f8bc4c9c8b831ff6a2af39470e2c750a8b1451f1498 | Text | 273 | 6 | List of analysis files and their related datafiles.
Fig1_intraOp_comparison_contra_vs_ipsi_muscles.m
-This function creates the plots for figures 1d, 1e, and all of supplemental figure 2.
-The dataset used for this is function is contra_ipsi_AllData_updated_Nov2025.mat
- |
f1c374cf8ffe41d4b555c7aefacca099b287375aa35f65fd8f6df8941c8bb9e7 | Text | 274 | 4 | # neurogenesis_model
This has all the source codes for the paper Zhen Chen, Krishnan Padmanabhan 2025 Adult-neurogenesis allows for representational stability and flexibility in early olfactory system eLife14: RP107905: https://elifesciences.org/reviewed-preprints/107905
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15c8ce5a25a920313efc1059592ba4cb7948125c0e468d72e848a9563ca25f3d | Text | 277 | 2 | # Parallel-circuit-in-oculomotor-nucleus-to-control-eye-movements-and-REM-sleep
These data are made available to reviewers for Nature Communications for reviewing purposes only. You can read and analyze these data, but may not copy, modify, or distribute the data in any form.
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f116b78507d52ed6c8964752c6b4ecc4703dc0f8cc930188f4b7e202943a441e | Text | 277 | 10 | # Physics-constrained learning framework for trustworthy microrobot navigation autonomy
# Environment setup:
<pre>
conda create -n testenv python=3.10.16
conda activate testenv
conda install tensorflow=2.10.0
conda install matplotlib=3.10.0
conda install pygame==2.6.1
</pre>
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539f4683083de804d80d08a63fc85681747ce3ccd6bf0dba1b7cf22d63af5e78 | Text | 278 | 6 | # slowWaveDetection
Code to detect interictal spikes and slow waves in intracranial EEG recordings
Matlab scripts written by Laurent Sheybani, UCL (2023) to accompany:
[Sheybani et al. (2023) Nature Communications 14: 7397](https://www.nature.com/articles/s41467-023-42971-3)
|
4afa8f820dde0015367ab2a83543e4c1c0a49afcbc9d74208269991360fafc4f | Text | 283 | 5 | # BIGA-HES1-HES5-2026
Repository for mathematical modelling used in the HES1-HES5 paper
Biga et al. (2026)
"Oscillatory co-expression of HES1 and HES5 enables a hybrid state in a cross-repressive transcription factor regulatory motif"
Development https://doi.org/10.1242/dev.204969
|
6258d7b4c67069b5db78e13e18f31bc5b45a828f3d7f0017ad5d35ab95c521ea | Text | 284 | 5 | 1. Prerequisites for Deployment
Please ensure Jupyter Notebook has been installed to run Python. PyTorch and osgeo must also be installed.
2.Notice
In the compressed file “codes”, ".html" files are used to display code, while ".ipynb" files are run using Jupyter Notebook.
3. |
09ff55c84fc852e93450f5cd6137cf4c1855cbb3d4d6ca4c2dd3bd199a0c5f86 | Text | 285 | 15 | # QSyncFold
Code for paper <QSyncFold: Quantum Neural Network for Multidimensional Sync-Discovery in Protein Folding>
## Installation
```bash
uv venv --python 3.10.19
source ./.venv/bin/activate
uv pip install -r requirements.txt
```
## Citation
The manuscript is not public yet.
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56d1c40b92d6a1fe26c4a225ed78a1413f90e78aaf05e9824e4d8dc548cbbf5a | Text | 290 | 9 | # Phase-precession-in-the-human-hippocampus-and-entorhinal-cortex
Analysis code for paper.
Precession_utils.py contains the core algorithms for computing precession using the circular-linear correlation, as well as by using the autocorrelogram.
Questions?
Contact: seqasim@gmail.com
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52829a0b683f5fa1a843cf973cad66c5e91d419d6eb5e2ed498739e310bc042f | Text | 296 | 6 | 1) ElevatedPlusMaze.py: code to analyze elevated plus-maze test
2) LightDark.py: code to analyze light/dark transition test
3) OpenField.py: code to analyze open-field test
4) SocialInteraction.py: code to analyze social-interaction test
5) ThreeChamber.py: code to analyze three-chamber test
|
07e14f7e8e6494a6ed8e830542fdc008ad5422e3be597494d639491a6ace2901 | Text | 297 | 7 | #
This repository contains the source code accompanying our paper:
> **[Physics Informed Differentiable Solvers for Learning Parametric Solution Manifolds in Heterogeneous Physical Systems]**
> [Milad Panahi, Giovanni Michele Porta, Monica Riva, Alberto Guadagnin]
> *APNAS Nexus* (2025).
|
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