This repository contains the projects I completed for the BME526 course titled "Introduction to Neural Engineering." The projects focus on analyzing and visualizing neural data using various ...

This tool provides a graphical user interface for visualizing neural data recorded from Neuropixel probes. It allows users to load specific channels of data, navigate through the recording in time, ...

Neural networks are powerful machine learning models that can learn complex patterns from data and make predictions. However, they are often seen as black boxes that are hard to understand and ...

In neural networks, visualize key aspects like architecture, parameters (weights, biases), activation patterns, loss metrics, filters, and feature maps (for CNNs). Monitor learning curves, explore ...

Researchers map, measure brain's neural connections Date: June 3, 2011 Source: Brown University Summary: Computer scientists have created software to examine neural circuitry in the human brain.

This paper introduces a new methodology for dynamic learning, visualization, and classification of functional magnetic resonance imaging (fMRI) as spatiotemporal brain data. The method is based on an ...

One of the areas their research explores is to what extent the individual’s neural connections resemble each other because of genetics. Goñi and his colleagues are using the Humane Connectome ...

Easy-to-use mapping tools give researchers the power to create beautiful visualizations of geographic data.

IFeaLiD provides a novel visualization of deep neural network layer outputs which are interpreted as multivariate feature maps. To efficiently compute the visualization based on high dimensional data ...

This paper introduces a new methodology for dynamic learning, visualization, and classification of functional magnetic resonance imaging (fMRI) as spatiotemporal brain data. The method is based on an ...