bring keras-models to production with tensorflow-serving and nodejs + docker 🍕

A Deep Learning project that uses Diffusion transformers (DiT) to generate Grand Theft Auto V driving footage

[ICLR 2024] Dynamic Neural Response Tuning

Tool to analyze two-photon calcium imaging videos, extract neuronal activity, and identify neuronal ensembles (ONsembles and OFFsembles).

everything related to my master thesis: A neuronal model for visually evoked escape responses in schooling fish

ANDA: An open-source tool for automated image analysis of in vitro neuronal cells

A spiking neuronal network toy

convolutional neural network diagnosis pneumonia

The NeuGen VRL-Studio Plugin

FastNet a path finding neuronal network

Predictive Neuronal Network ML for Banco Santander

Analyzing electricity consumption patterns using Recurrent Neural Networks (RNNs) with RNA data integration.

This repository contains all the code used for the publication "Morphological principles of neuronal mitochondria".

MorphoLogic extracts comprehensive neuronal morphometrics from 2D SWC reconstructions and can perform morphology-aware mapping to project concurrent microscopy signals or (synaptic) puncta onto reconstructed neurons. Outputs include per-cell diagnostic visualizations and per-dataset aggregated CSV tables spanning multilevel summaries.

Cells - put ANNs together into a Cell, into a network of ANNs!

Density visualization plugin for neuronal morphologies

OpenCL-based neuronal network simulator. Incorporates synaptic plasticity based on event-based implementation of Graupner-Brunel algorithm. Neurons are encoded as leaky integrate-and-fire (LIF). Synapses are current based and are available as both direct delta-currents and a difference-of-exponentials.

A compact, reproducible research repo that explores brain-response prediction from HCP fMRI ROI time series.

Manuscript data and code repository