
[Illinois] KohonenSOM
25 Jul 2013  Tools  Contributor(s): Bara Saadah, Nahil Sobh, Jessica S Johnson, NanoBio Node
This tool implements the Kohonen selforganizing map (SOM) algorithm
https://nanohub.org/resources/kohonensom

[Illinois]: BUTDprobInference
25 Jul 2013  Tools  Contributor(s): Bara Saadah, Jessica S Johnson, NanoBio Node
This tool stimulates bottomup/topdown processing in the visual system using probabilistic inference.
https://nanohub.org/resources/butdprobinf

[Illinois]: BUTDjointDistribution
24 Jul 2013  Tools  Contributor(s): Bara Saadah, Jessica S Johnson, NanoBio Node
this tool simulates bottomup/topdown processing in the visual system using the joint distribution
https://nanohub.org/resources/butdjdist

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

[illinois] BioMEMS and Bionanotechnology: Integration of Life Sciences and Engineering at the Micro and Nanoscale
10 Jul 2013  Online Presentations  Contributor(s): Rashid Bashir
Optical Society of America (OSA), University of Illinois Chapter,
IEEE Electron Devices Society (EDS), University of Illinois Chapter,
Micro and Nanotechnology Laboratory (MNTL),
https://nanohub.org/resources/5985

[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.
https://nanohub.org/resources/pertgrad1by1

MAE 6291 Lecture 07: FET, WGM and GMR as Signal Transducers
07 Jul 2013  Online Presentations  Contributor(s): jonathan silver
F. Patolsky et al., Electrical detection of single viruses, Proc. Natl. Acad. Sci. 101:1401714022 (2004)
A. M. Armani et al., Labelfree single molecule detection with optical...
https://nanohub.org/resources/18851

MAE 6291 Lecture 06: SingleMolecule Fluorescence, TIRF, FRET
07 Jul 2013  Online Presentations  Contributor(s): jonathan silver
A. Jain et al., Probing cellular protein complexes using
singlemolecule pulldown. Nature 474: 484489 (2012)
https://nanohub.org/resources/18850

[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.
https://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)
https://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)
https://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)
https://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)
https://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
https://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
https://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.
https://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).
https://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
https://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.
https://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
https://nanohub.org/resources/pbnpredict