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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
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Cognition
Cognitive science
Combinatorial optimization
Comparison of deep learning software
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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…
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2018
2018
Implementing NEF Neural Networks on Embedded FPGAs
Benjamin Morcos
,
T. Stewart
,
C. Eliasmith
,
Nachiket Kapre
International Conference on Field-Programmable…
2018
Corpus ID: 195223380
Low-power, high-speed neural networks are critical for providing deployable embedded AI applications at the edge. We describe an…
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2017
2017
Model-based polynomial function approximation with spiking neural networks
Stefan Ulbrich
,
Terrence Steward
,
Igor Peric
,
A. Rönnau
,
Johann Marius Zöllner
,
R. Dillmann
IEEE International Conference on Cognitive…
2017
Corpus ID: 21188703
Artificial neural networks are known to perform function approximation but with increasingly large non-redundant input spaces…
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Review
2017
Review
2017
Building Cognition from Spiking Neurons : Nengo and the Neural Engineering Framework
T. Stewart
2017
Corpus ID: 39646671
There are two primary objectives for this full-day tutorial. First, we will demonstrate how complex cognitive architectures can…
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2017
2017
Towards a hybrid brain based robot
Omar Zahra
,
M. Fanni
,
Abdelfatah M. Mohamed
IEEE International Conference on Autonomous Robot…
2017
Corpus ID: 6476755
Autonomous robots performing various tasks without human guidance have always been our dream for a better future. A problem that…
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2016
2016
Reduction of dopamine in basal ganglia and its effects on syllable sequencing in speech: A computer simulation study
Valentin Senft
,
T. Stewart
,
Trevor Bekolay
,
C. Eliasmith
,
B. Kröger
2016
Corpus ID: 15999787
Review
2015
Review
2015
Biologically Inspired Adaptive Control of Quadcopter Flight by Brent Komer
Brent Komer
2015
Corpus ID: 1296459
This thesis explores the application of a biologically inspired adaptive controller to quadcopter flight control. This begins…
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2015
2015
Benchmark results for "Benchmarking neuromorphic systems with Nengo"
Bekolay Trevor
,
C. Terrence
,
E. Chris
2015
Corpus ID: 61472735
2010
2010
Learning nonlinear functions on vectors : examples and predictions
Trevor Bekolay
2010
Corpus ID: 17774978
One of the underlying assumptions of the Neural Engineering Framework, and of most of theoretical neuroscience, is that neurons…
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2009
2009
A neural model of rule finding in Raven ’ s Progressive Matrices
Daniel Rasmussen
2009
Corpus ID: 73582676
Raven’s Progressive Matrices is one of the most widely used tests of general intelligence. It has been found to be both domain…
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