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Neural Engineering Object

Known as: NENGO 
Neural Engineering Object (NENGO) is a graphical and scripting software for simulating large-scale neural systems. As Neural network software NENGO… 
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Related topics

Related topics

14 relations
CognitionCognitive scienceCombinatorial optimizationComparison of deep learning software

Broader (1)

Neural network software

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2020
Review
2020
Auditory Sensing Systems: Overview
  • S. Denham
  • Encyclopedia of Computational Neuroscience
  • 2020
  • Corpus ID: 40787751
Neuron Simulations The emergent properties of networks are fre- quently studied using highly simplified neurons with complex… 
2019
2019
Precise multiplications with the NEF
This report discusses how to implement the multiplication of two numbers in the NEF with a high accuracy. The main improvement… 
2018
2018
Implementing NEF Neural Networks on Embedded FPGAs
Low-power, high-speed neural networks are critical for providing deployable embedded AI applications at the edge. We describe an… 
2017
2017
Model-based polynomial function approximation with spiking neural networks
Artificial neural networks are known to perform function approximation but with increasingly large non-redundant input spaces… 
Review
2017
Review
2017
Building Cognition from Spiking Neurons : Nengo and the Neural Engineering Framework
There are two primary objectives for this full-day tutorial. First, we will demonstrate how complex cognitive architectures can… 
2016
2016
Reduction of dopamine in basal ganglia and its effects on syllable sequencing in speech: A computer simulation study
2015
2015
Integration of Biological Neural Models for the Control of Eye Movements in a Robotic Head
We developed a biologically plausible control algorithm to move the eyes of a six degrees of freedom robotic head in a human-like… 
Review
2015
Review
2015
Biologically Inspired Adaptive Control of Quadcopter Flight by Brent Komer
This thesis explores the application of a biologically inspired adaptive controller to quadcopter flight control. This begins… 
2015
2015
Benchmark results for "Benchmarking neuromorphic systems with Nengo"
2010
2010
Learning nonlinear functions on vectors : examples and predictions
One of the underlying assumptions of the Neural Engineering Framework, and of most of theoretical neuroscience, is that neurons… 
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