Name	Name	Last commit message	Last commit date
Latest commit History 137 Commits
IMC	IMC
bouncing	bouncing
clarion	clarion
csbbcs	csbbcs
keyboard	keyboard
lca	lca
ldn	ldn
model_learning	model_learning
mpc	mpc
nikhil	nikhil
nmc	nmc
novelty	novelty
numpy-nengo	numpy-nengo
oddball	oddball
pattern_interpolation	pattern_interpolation
pca	pca
random-encoding	random-encoding
semd	semd
sgbc	sgbc
show_remote_spikes	show_remote_spikes
som	som
spa_display	spa_display
spa_power	spa_power
spinnaker	spinnaker
spinnaker_speed	spinnaker_speed
vsa	vsa
.gitignore	.gitignore
Accuracy-Integrator.ipynb	Accuracy-Integrator.ipynb
Adaptive LIF.ipynb	Adaptive LIF.ipynb
Analyzing the SSP tuning curve.ipynb	Analyzing the SSP tuning curve.ipynb
Attractors Collection.ipynb	Attractors Collection.ipynb
Attractors.ipynb	Attractors.ipynb
Constraint Parsing.ipynb	Constraint Parsing.ipynb
Converting non-spiking neurons to spiking neurons.ipynb	Converting non-spiking neurons to spiking neurons.ipynb
Cosine tuning curves.ipynb	Cosine tuning curves.ipynb
Countering Catastrophic Forgetting with Metaplasticity.ipynb	Countering Catastrophic Forgetting with Metaplasticity.ipynb
Data extraction from Nengo.ipynb	Data extraction from Nengo.ipynb
Dynamic Compensation.ipynb	Dynamic Compensation.ipynb
Encoding Frequencies with Legendre Polynomials - Bode Plots for LDNs.ipynb	Encoding Frequencies with Legendre Polynomials - Bode Plots for LDNs.ipynb
Exploring spa power representation.ipynb	Exploring spa power representation.ipynb
Extracting data from Nengo.ipynb	Extracting data from Nengo.ipynb
Function Representation.ipynb	Function Representation.ipynb
Function Space -- Attempt 3.ipynb	Function Space -- Attempt 3.ipynb
Function Space description.ipynb	Function Space description.ipynb
Function space 1.ipynb	Function space 1.ipynb
Gabor - Biological.ipynb	Gabor - Biological.ipynb
Gabor.ipynb	Gabor.ipynb
Generate Netlist from Nengo.ipynb	Generate Netlist from Nengo.ipynb
Implementing a Braindrop-like architecture in Nengo.ipynb	Implementing a Braindrop-like architecture in Nengo.ipynb
Intercept Distribution .ipynb	Intercept Distribution .ipynb
LICENSE	LICENSE
Learning and Adjusting Tuning Curves.ipynb	Learning and Adjusting Tuning Curves.ipynb
Localist constraint 2.ipynb	Localist constraint 2.ipynb
Localist constraint parsing.ipynb	Localist constraint parsing.ipynb
Measuring error for nengo ensembles.ipynb	Measuring error for nengo ensembles.ipynb
Neuron noise.ipynb	Neuron noise.ipynb
NodeOutput options.ipynb	NodeOutput options.ipynb
Permutation Network.ipynb	Permutation Network.ipynb
Predicting the Future.ipynb	Predicting the Future.ipynb
Principal Components Analysis.ipynb	Principal Components Analysis.ipynb
README.md	README.md
Random Binding.ipynb	Random Binding.ipynb
Reservoir.ipynb	Reservoir.ipynb
SPA radius.ipynb	SPA radius.ipynb
SSP encoding as sine wave neurons.ipynb	SSP encoding as sine wave neurons.ipynb
SSP-like encoding with random weights.ipynb	SSP-like encoding with random weights.ipynb
SSPs and learning independent functions.ipynb	SSPs and learning independent functions.ipynb
Scaling Random SSPs.ipynb	Scaling Random SSPs.ipynb
Sigmoid Dendrites.ipynb	Sigmoid Dendrites.ipynb
Simple Prediction.ipynb	Simple Prediction.ipynb
Sparse Gabor SVD.ipynb	Sparse Gabor SVD.ipynb
Sparsity and SSPs.ipynb	Sparsity and SSPs.ipynb
Spike training.ipynb	Spike training.ipynb
Temporal Decoders.ipynb	Temporal Decoders.ipynb
Temporal log scale.ipynb	Temporal log scale.ipynb
The Advantage of Low Spike Rates (generalization).ipynb	The Advantage of Low Spike Rates (generalization).ipynb
The Advantage of Low Spike Rates.ipynb	The Advantage of Low Spike Rates.ipynb
The maths of LMU prediction learning.ipynb	The maths of LMU prediction learning.ipynb
Threshold accuracy.ipynb	Threshold accuracy.ipynb
Undoing low pass filters.ipynb	Undoing low pass filters.ipynb
Working memory overshoot.ipynb	Working memory overshoot.ipynb
freq and amp.ipynb	freq and amp.ipynb
learn_lorenz.py	learn_lorenz.py
learn_lorenz.py.cfg	learn_lorenz.py.cfg
nengo_dl.ipynb	nengo_dl.ipynb
netlist.py	netlist.py
rotate matrix.ipynb	rotate matrix.ipynb
spike trains - poisson and regular.ipynb	spike trains - poisson and regular.ipynb
tau_learn - An alternative to learning rates.ipynb	tau_learn - An alternative to learning rates.ipynb

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137 Commits