
[Illinois]: Running Average
10 Jul 2013  Tools  Contributor(s): Bara Saadah, Nahil Sobh, Jessica S Johnson, NanoBio Node
This tool implements a running average of a noise series.
http://nanohub.org/resources/runningaverage

[Illinois]: Error Gradient Estimations Due to Perturbation of One Weight at a Time
29 Jun 2013  Tools  Contributor(s): AbderRahman N Sobh, Jessica S Johnson, NanoBio Node
This tool trains twolayered networks of sigmoidal units to associate patterns using perturbation of one weight at a time.
http://nanohub.org/resources/pertgrad1by1

[Illinois]: Big Mess
26 Jun 2013  Tools  Contributor(s): Bara Saadah
This tool stimulates the pulse or step response of a neural network with ten input and ten output units that are randomly connected.
http://nanohub.org/resources/bigmess

[Illinois]: Posterior target probability given singlesensory input (delta rule)
28 Jun 2013  Tools  Contributor(s): Lisa Sproat, Jessica S Johnson, NanoBio Node
Trains a single sigmoidal unit using the delta rule to estimate posterior target probability given sensory input of one modality (i.e., visual)
http://nanohub.org/resources/unisensorydelta

[Illinois]: Posterior probability of a target given singlesensory input (Bayes')
28 Jun 2013  Tools  Contributor(s): Lisa Sproat, Jessica S Johnson, NanoBio Node
Computes the posterior probability of a target given sensory input of one modality (i.e., visual)
http://nanohub.org/resources/unisensorybayes

[Illinois]: Posterior probability of a target given input for two senses (Bayes')
28 Jun 2013  Tools  Contributor(s): Lisa Sproat, Jessica S Johnson, NanoBio Node
Computes the posterior probability of a target given sensory input of two modalities (i.e., visual and auditory)
http://nanohub.org/resources/bisensorybayes

[Illinois]: Posterior probability of a target given input for two senses (delta)
28 Jun 2013  Tools  Contributor(s): Lisa Sproat, Jessica S Johnson, NanoBio Node
Trains a single sigmoidal unit using the delta rule to estimate posterior target probability given sensory input of two modalities (i.e., visual and auditory)
http://nanohub.org/resources/bisensorydelta

[Illinois]: Posterior probabilities of hypothetical fish classes
28 Jun 2013  Tools  Contributor(s): Lisa Sproat, Jessica S Johnson, NanoBio Node
Computes the posterior probabilities of each of three hypothetical fish classes using Bayes' rule
http://nanohub.org/resources/fishbayesrule

[Illinois]: Fish classification using backpropagation
28 Jun 2013  Tools  Contributor(s): Lisa Sproat, Jessica S Johnson, NanoBio Node
Trains a threelayered network of sigmoidal units using backpropagation to classify fish according to their lengths
http://nanohub.org/resources/fishbackprop

[Illinois]: Avoidance Learn Simulation with 'Call' Neuron
25 Jun 2013  Tools  Contributor(s): AbderRahman N Sobh, NanoBio Node, Jessica S Johnson
This script simulates avoidance learning as a reinforcement learning with two upper motoneurons (sumo and fumo) and one "call" neuron.
http://nanohub.org/resources/avoidlearncall

[Illinois]: Avoidance Learn Simulation
20 Jun 2013  Tools  Contributor(s): AbderRahman N Sobh, NanoBio Node, Jessica S Johnson
This script simulates avoidance conditioning as reinforcement learning with two upper motoneurons (SUMO and FUMO).
http://nanohub.org/resources/avoidlearn

[Illinois]: Sigmoidal unit training with the delta rule
26 Jun 2013  Tools  Contributor(s): Lisa Sproat, NanoBio Node, Jessica S Johnson
Uses the delta rule to train a single sigmoidal unit with feedback to simulate the responses of neurons in the parabigeminal nucleus
http://nanohub.org/resources/pbndeltarule

Hydrodynamic Particle Trapping
14 Jun 2013  Tools  Contributor(s): Melikhan tanyerim@illinois.edu Tanyeri, John Feser, Nahil Sobh
Simulates the motion of a nanoparticle in a hydrodynamic trap.
http://nanohub.org/resources/particletrap

[Illinois]: Predictorcorrector simulation of parabigeminal nucleus neural responses
24 Jun 2013  Tools  Contributor(s): Lisa Sproat, NanoBio Node, Jessica S Johnson
Implements a predictorcorrector simulation of the responses of neurons in the parabigeminal nucleus
http://nanohub.org/resources/pbnpredict

[Illinois]: Midbrain dopamine neuron responses to temporaldifference learning
21 Jun 2013  Tools  Contributor(s): Lisa Sproat, Jessica S Johnson, NanoBio Node
Simulates the responses of midbrain dopamine neurons using temporal difference learning
http://nanohub.org/resources/midbraindopamin

[Illinois]: Velocity storage and leakage
04 Jun 2013  Tools  Contributor(s): Lisa L Sproat, Jessica S Johnson, NanoBio Node
Implements the parallelpathway and positivefeedback models of velocity storage, and the negativefeedback model of velocity leakage
http://nanohub.org/resources/velstoreleak

[Illinois]: Kohonen selforganizing map (SOM) algorithm
19 Jun 2013  Tools  Contributor(s): Bara Saadah, John Feser, NanoBio Node, Jessica S Johnson
This too implements the Kohonen selforganizing map (SOM) algorithm
http://nanohub.org/resources/tonotopicsom

Locustflight central pattern generator
06 Jun 2013  Tools  Contributor(s): Lisa L Sproat, NanoBio Node, Jessica S Johnson
Implements a linear version of Wilson's model of the locustflight central pattern generator
http://nanohub.org/resources/wilsoncpg

Twounit oculomotor integrator
04 Jun 2013  Tools  Contributor(s): Lisa L Sproat, Jessica S Johnson, NanoBio Node
Implements the twounit model of the integrator of the oculomotor system
http://nanohub.org/resources/twounitintegrat

[Illinois]: Two leaky integrators in series
31 May 2013  Tools  Contributor(s): Lisa L Sproat, John Feser, Jessica S Johnson, NanoBio Node
Implements a model having two units (leaky integrators) in series, each with recurrent, excitatory selfconnections allowing the units to exert positive feedback on themselves
http://nanohub.org/resources/twoleakseries