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

Predictive Neuronal Network ML for Banco Santander

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

FastNet a path finding neuronal network

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.

A modular, cognitive Python framework inspired by the human brain, enabling autonomous agent systems with perception, memory, planning, reasoning, and learning. Supports extensible, scalable cognitive architectures for real-world AI automation.

Density visualization plugin for neuronal morphologies

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

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.

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

Manuscript data and code repository