
[Illinois]: Error Gradient Estimations Due to Perturbation of One Weight at a Time
09 Jul 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
02 Jul 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)
02 Jul 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')
01 Jul 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')
01 Jul 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)
01 Jul 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
01 Jul 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
01 Jul 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
01 Jul 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
01 Jul 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
27 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
26 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
26 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
26 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
21 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
21 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
20 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
20 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
20 Jun 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

Accurate Chemical Master Equation (ACME)
20 Jun 2013  Tools  Contributor(s): Youfang Cao, Anna Terebus, John Feser, Nahil Sobh, Jie Liang
Direct solution method of discrete Chemical Master Equation (dCME) for the steady state, the time evolution of full probability landscapes, and the first passage time distribution (FPTD) in...
http://nanohub.org/resources/fbsdcme