The project idea is to develop an eye tracker using deep learning in Python using TensorFlow/PyTorch. It involves implementing and extending the CNNs...

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...

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

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...

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

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

The general project idea is modelling cortical networks to make it more accessible and available in a cross simulator format. This will not only...

I am creating an a platform where clients can easily access the data if the micro-states of the brain. I am using mat-lab software to develop the...

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

The project’s aim is to create a user-friendly interface to store data and have natural extensions of existing projects like bidscoin and...

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

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

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...

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

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

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...

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...

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

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

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...

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

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

Building out the modelling and analysis capacity of The Virtual Brain (TVB) for simulations of whole-head, high-resolution fNIRS signals, as well as...

The eye-tracking algorithms used in the past are based on older computer vision algorithms and are also computationally expensive and not...

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....

AnalySim is a data sharing and analysis platform that seeks to simplify the visualization of datasets. With AnalySim, researchers can collaborate by...

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

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

Visual deprivation in infants disrupts normal visual development and affects a variety of visual functions. There are no reliable automated objective...

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

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

Eye-tracking has many applications from driver safety to improved accessibility for people with disabilities. However current state-of-the-art eye...

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...

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

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...

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

The problem I'm solving is of adding new workers and resource management to new dataflow engine written in Python. My approach in a nutshell would be...

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