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[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
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[Illinois]: Posterior target probability given single-sensory 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
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[Illinois]: Posterior probability of a target given single-sensory 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
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[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
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[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
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[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
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[Illinois]: Fish classification using back-propagation
28 Jun 2013 | Tools | Contributor(s): Lisa Sproat, Jessica S Johnson, NanoBio Node
Trains a three-layered network of sigmoidal units using back-propagation to classify fish according to their lengths
http://nanohub.org/resources/fishbackprop
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[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
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[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
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[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
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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
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[Illinois]: Predictor-corrector simulation of parabigeminal nucleus neural responses
24 Jun 2013 | Tools | Contributor(s): Lisa Sproat, NanoBio Node, Jessica S Johnson
Implements a predictor-corrector simulation of the responses of neurons in the parabigeminal nucleus
http://nanohub.org/resources/pbnpredict
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[Illinois]: Midbrain dopamine neuron responses to temporal-difference 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
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[Illinois]: Velocity storage and leakage
04 Jun 2013 | Tools | Contributor(s): Lisa L Sproat, Jessica S Johnson, NanoBio Node
Implements the parallel-pathway and positive-feedback models of velocity storage, and the negative-feedback model of velocity leakage
http://nanohub.org/resources/velstoreleak
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[Illinois]: Kohonen self-organizing map (SOM) algorithm
19 Jun 2013 | Tools | Contributor(s): Bara Saadah, John Feser, NanoBio Node, Jessica S Johnson
This too implements the Kohonen self-organizing map (SOM) algorithm
http://nanohub.org/resources/tonotopicsom
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Locust-flight 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 locust-flight central pattern generator
http://nanohub.org/resources/wilsoncpg
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Two-unit oculomotor integrator
04 Jun 2013 | Tools | Contributor(s): Lisa L Sproat, Jessica S Johnson, NanoBio Node
Implements the two-unit model of the integrator of the oculomotor system
http://nanohub.org/resources/twounitintegrat
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[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 self-connections allowing the units to exert positive feedback on themselves
http://nanohub.org/resources/twoleakseries
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Finite Buffer dCME (fb-dCME)
20 May 2013 | Tools | Contributor(s): Youfang Cao, Anna Terebus, John Feser, Jie Liang
Finite Buffer Method for Direct Solution of Discrete Chemical Master Equation (fb-dCME)
http://nanohub.org/resources/fbsdcme
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[Illinois]: Gill withdrawal habituation
13 May 2013 | Tools | Contributor(s): John Feser, Jessica S Johnson, NanoBio Node
A very simple simulation of habituation of the Aplysia gill withdrawal reflex.
http://nanohub.org/resources/habituationgwr
