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[Illinois]: Avoidance Learn Simulation with 'Call' Neuron
Tools | 25 Jun 2013 | 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.
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[Illinois]: Avoidance Learn Simulation
Tools | 20 Jun 2013 | 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).
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Hydrodynamic Particle Trapping
Tools | 14 Jun 2013 | Contributor(s):: Melikhan tanyerim@illinois.edu Tanyeri, John Feser, Nahil Sobh
Simulates the motion of a nanoparticle in a hydrodynamic trap.
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Accurate Chemical Master Equation (ACME)
Tools | 20 May 2013 | 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 biological networks.
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Pattern Formation in Bacterial Populations
Tools | 03 May 2013 | Contributor(s):: Ting Lu, John Feser, Nahil Sobh, Pratik Naik
Synthetic biology tool for engineering patterning systems.
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Nisin Diffusion Tool
Tools | 08 Apr 2013 | Contributor(s):: Andrew Blanchard, Ting Lu
Simulate cell fluorescence based on nisin concentration
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DBR Laser Simulator
Tools | 07 Sep 2012 | Contributor(s):: Nikhil Sancheti, Lynford Goddard, Christopher Adam Edwards
Describes properties of a GaAs/AlGaAs DBR laser
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Illinois Tools: Nanoparticle Quantitative Lab
Tools | 18 May 2011 | Contributor(s):: Nahil Sobh, Zuhaib Bashir Sheikh
Quantitative Simulation of the interaction of electromagnetic wave with metallic nano-particle
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Illinois Tool: FIONA (Fluorescence Imaging with One Nanometer Accuracy)
Tools | 01 Nov 2010 | Contributor(s):: Paul R Selvin, Raheem Syed, Nahil Sobh
Fluorescence Imaging with One Nanometer Accuracy
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BioSensorLab
Tools | 14 Aug 2006 | Contributor(s):: Pradeep R. Nair, Jonghyun Go, Graeme John Landells, Tejas Rajiv Pandit, Muhammad Alam, Xin Jin, Piyush Dak, Ankit Jain, Mohammad Ryyan Khan, Mohammad Ryyan Khan
BioSensorLab is a tool to evaluate and predict the performance parameters of Biosensors.