Scientific workflows often require sophisticated analyses that encompass an extensive collection of algorithms. In neuroimaging, Nipype (Python) is a...

In some organisms like axolotl, the surface of the embryo is transparent and thus allowing us to see the embryogenetic events taking place before the...

Conducting Cognitive Neuroscience Experiments has always been limited to research-grade EEG devices that cost tens of thousands of dollars. Since the...

Artifacts are parts of a measured signal generated from sources other than those of interest. For electroencephalography (EEG) data, artifacts from a...

Cerebral cortex is the outermost layer of the brain and is associated with highest mental capabilities like consciousness, emotion, reasoning,...

Diffusion MRI is a non-invasive imaging technique which provides information about the cellular structure of the brain tissue at microscopic scale....

The ever-growing body of data in Neuroscience, which has been enabled by the advancement of state-of-the-art techniques, calls forth collaborative...

Eye tracking has varieties of applications ranging across usability and user experience research, gaming, driving, and gaze-based interaction for...

Accurate visual function measurements (e.g., resolution acuity) are vital for assessing vision in clinical practice. It is especially crucial for...

I will seek to create GNNs that resemble actual biological networks found throughout development by analyzing time-series microscopy data. This...

Several attempts have been made in recent years to develop, collect and analyze data in the field of neuroscience. This proposal aims at helping...

DevoGraph is an open-source framework that models cell developmental process as graphs, extracts and converts latent information into high-level...

A Collective Cognition Model to serve as automated guidelines to open source communities. The model will project the activities, interrelationships,...

Eye tracking can be used for a range of purposes, from improving accessibility for people with disabilities to improving driver safety. However,...

The project aims to create a user-friendly GUI to select simulation results and convert them to a BIDS-compliant structure following the BEP034...

PyGeNN is a Python package for simulating spiking neural networks using GPUs. For this project, I will construct and simulate a PyGeNN model of the...

The Virtual Brain (TVB) is a brain stimulation platform. It offers tools for computing, simulating and analyzing functional and structural data of...

I am planning to improve how AnalySim looks by simplifying pages to assure that it is both practical and easy for users to navigate through it. I...

During Google Summer of Code 2022, I propose a project in which these feedback loops (recurrent relationships) and causal loops (reciprocal...

Building recommendation engine for suggesting reviewers using Natural Language Processing and Huggingface library. I will be using the editors’...

This project aims to add brain imaging data structure (BIDS) provenance to a workflow engine written in Python called ‘Pydra’. The brain imaging data...

The peer-review process is one of the most crucial processes in science, yet the process can be burdensome and is not free of bias. As the research...

Computational models, based on detailed neuroanatomical and electrophysiological data, are heavily used as an aid for understanding the brain. An...

Eye tracking has varieties of applications, ranging across usability and user experience research, gaming, driving, and gaze-based interaction for...

This is a proposal to focus on general web development of LORIS modules and API, mentioning key deliverables such as familiarization with the LORIS...

Editing CSV/Displaying CSV files CSV file viewing and sorting for AnalySim datasets, that can be sorted and filtered. I will study how to create and...

Biologically detailed models are useful tools in neuroscience, and automated methods are now routinely applied to construct and validate such models...

The proposed project is an approach to the problems of sustainability and collective cognition within small open-source organizations, proceeding in...

Event-based vision is a subfield of computer vision that deals with data from event-based cameras. Event cameras, also known as neuromorphic cameras,...

NeuroML and PyNN are open, simulation independent formats that are used to convert large scale network models. Network models incorporating realistic...

I am planning to develop a Latex to XML pipeline and adapt the final format to PMC requirements and integrate the pipeline with the current...

GUI: In this part, we aim to build a new GUI for HNN, using the HNN core functions and open source practices, in the form of an ipywidget. Mimicking...

The main objective of this project is to generate a 3D model based on a set of 2D axolotl embryo images to aid as a research tool. The problem can be...

The platinum open access overlay neuroscience journal - Neurons, Behavior, Data Analysis, and Theory – NBDT is ready for inclusion in PubMed Central...

It often becomes taxing for editors to assign reviewers to a paper in journals, simply because of the vast number of potential reviewers, or even if...