The Nengo Neural Simulator

The Nengo Neural Simulator

  • May 17, 2018
Table of Contents

The Nengo Neural Simulator

Nengo is a graphical and scripting based Python package for simulating large-scale neural networks. Nengo can create sophisticated spiking or non-spiking neural simulations with sensible defaults in a few lines of code. Yet, Nengo is highly extensible and flexible.

You can define your own neuron types and learning rules, get input directly from hardware, build and run deep neural networks, drive robots, and even implement your model on a completely different neural simulator or neuromorphic hardware.

Source: nengo.ai

Tags :
Share :
comments powered by Disqus

Related Posts

Germany adopts first ethics standards for autonomous driving systems

Germany adopts first ethics standards for autonomous driving systems

Federal transport minister, Alexander Dobrindt, presented a report to Germany’s cabinet seeking to establish guidelines for the future programming of ethical standards into automated driving software. The report, was prepared by an automated driving ethics commission comprised of scientists and legal experts and produced 20 guidelines to be used by the automotive industry when creating automated driving systems. Shortly after its introduction, Dobrindt announced that the cabinet ratified the guidelines, making Germany the first government in the world to put such measures in place.

Read More
Machine Learning for Text Classification Using SpaCy in Python

Machine Learning for Text Classification Using SpaCy in Python

spaCy is a popular and easy-to-use natural language processing library in Python. It provides current state-of-the-art accuracy and speed levels, and has an active open source community. However, since SpaCy is a relative new NLP library, and it’s not as widely adopted as NLTK.

Read More