This project is dedicated to developing a set of automated tools and processes for extracting useful neuronal experimental data from datasets provided by the Allen Brain Institute, and converting these data into parameters that can be used for neuronal modeling on the NetPyNE platform…

• Implement a Project edit button, file and project rename functionality, fix edit project popup , allow editing list of notebooks , and add images to each type of notebook. • Implement support for Jupyter notebooks. Users should be able to upload, view, and edit Jupyter notebooks on…

To participate in the Neurobagel query federation, datasets must conform to Neurobagel’s data model, so annotating the datasets is necessary to harmonize them for query federation. The project aims to reduce the human effort to manually annotate individual data elements by automating…

My proposal is to implement and expand the social aspects of the project by setting up comments, sharing, following of projects/users, and messaging between users. To do this I will create a messaging interface working within the design language already implemented throughout the site…

With the advent of machine learning, statistical learning and modelling becoming more prevalent in today’s world, we can estimate values for an unknown data given a trained model i.e. finding value of data(D) given parameter (Θ) .Now what about the reverse? What if we want to find…

The proposal focuses on prospective ideas that can be employed for enhancement of the existing INCF Impact Visualization Portal. It goes into depth, explaining every idea's importance and possible way of implementation. Additionally, it proposes novel ideas, as well as ideas for…

This proposal aims to improve the capability of markdown exporter package inorder to cover multicompartment model, and also to support generation of p.d.f, h.t.m.l , latex file types not only this but also to follow a standard template generation using jinja2 template generation tool…

The project aims to refactor the Brain's unit system into a standalone package. Additionally, it aims to incorporate additional functionalities from other unit packages such as astropi (for type annotations), pint (for integration with matplotlib’s unit system), Quantiphy (for string…

The ‘Open Source Community Sustainability’ project is about simulating open-source community interactions to encourage conditions leading to sustainable practice. I propose to do this by creating a framework with an agent-based model powered by Large Language Models (LLMs). This…

The Active Segmentation Platform for ImageJ (ASP/IJ) aims to provide a general-purpose workbench that allows biologists and other domain experts to access state-of-the-art techniques in machine learning to achieve excellent image segmentation and classification. This project focuses…

Neurobagel is a federated data ecosystem that allows researchers and other data users to find and consume research data that has to remain at their original institute for data governance reasons. It helps researchers connect a local neuroimaging dataset with others in a decentralized…

TheVirtualBrain (TVB) is the first integrative neuroinformatics platform for the modeling of full brain network dynamics. TVB simulator, written in Python, enables the systematic, model-based inference of neurophysiological mechanisms on different brain scales that underlie the…

DevoGraph is an open-source GNN framework designed specifically for analyzing embryogenetic data. It utilizes Graph Neural Networks (GNNs) as a powerful method for revealing connectivity patterns within complex geometric datasets. My contribution to this project involves (i)…

The project aims to enhance the LORIS web platform, a widely used tool in neuroimaging research with databases utilized by research teams in 22 countries, by improving its data ingestion, storage, and processing capabilities for neural information. The approach includes familiarizing…

This project studies the development of a tiny worm called Caenorhabditis elegans, focusing on how its cells grow and interact from its early stages. It uses two special tools called Spatial Hypergraphs and Lineage Hypergraphs to map out and understand these interactions. Spatial…

Gesture-based music generation has existed for some years now, thanks to software such as Wekinator. However, they use machine learning methods that have been overtaken by recent Deep Learning innovations, and therefore limit the studies that can be carried out on musical creativity…

This project aims to build HarmonyHub, a web platform for personalized and engaging learning experiences with variable-pitch instruments like wind instruments (e.g., Trumpet, Flute, Clarinet) and bowed string instruments (e.g., Violin, Viola). Most wind and string instruments are…

We aim to further enhance model development with NetPyNE’s “batch” subpackage by refactoring the code base for ease of use and scalability, then use the improved batch subpackage to explore and typify the effectiveness of various search algorithms (random, population based, various…

The project is about incorporating new features into an existing 3D viewer which allows for visualisation of cells and networks using the NeuroML standard. Right now the viewer is limited to only viewing the model, whether it is a single cell or a complete network, but at the end of…

This project entails the upgrade of the existing physiopy packages, peakdet and phys2denoise, for optimized interoperability and the development of semi-automated unified physiological signal processing routines using the updated toolboxes which will largely benefit users that…

The proposal aims to address the issue of the expensive and inaccessible research publishing industry by leveraging modern internet-based social technology to create an open reviewing and quality-ranking web portal. The portal will facilitate manuscript submission and an automated,…

Neuroptimus, an open-source parameter optimization software tailored for neuroscience applications, has been instrumental in advancing the construction and optimization of biologically detailed models, utilizing algorithms such as evolutionary algorithms and swarm intelligence.…

The proposal aims to address the issue of the expensive and inaccessible research publishing industry by leveraging modern internet-based social technology to create an open reviewing and quality-ranking web portal. The portal will facilitate manuscript submission and an automated,…

Ensuring healthy vision in infants requires early detection of potential problems. Current Infant Visual Function Measurement Systems built in previous GSOC 22 and GSOC 23 are efficient and robust solutions but are limited by difficulties with infant cooperation and shortcomings in…

The annotation of research data is essential to ensure its findability and reusability. High-quality data annotations require domain expertise, so that annotations are relevant, but also specific technical skills, such as knowing how to handle JSON/XML files. Additionally, people are…

The proposal involves contributing to the LORIS codebase, a pivotal resource for neuroscience research. LORIS plays a crucial role in facilitating Open Science and advancing global research by offering an open-stack platform for the management of diverse medical data. My work will…

SciCommons aims to revolutionize academic publishing by providing an open peer review platform. The current system faces challenges such as time constraints and limited reviewer capacity. SciCommons addresses these by allowing any user to review, comment, and rate research articles,…

I am proposing a project for Google Summer of Code to develop an interactive SWC to NeuroML converter in Python. The converter will simplify the conversion of the widely used SWC format to the NeuroML standard for biophysically detailed neuronal models. The project will include an…

The Human Neocortical Neurosolver (HNN) is a computational tool that enables scientists to study brain responses at the cellular and circuit levels. However, the current version of HNN-core has a limitation in that it cannot simulate large batches of simulations. This hinders the…