Tags: nano/bio

Resources (81-100 of 458)

  1. [Illinois]: Posterior probabilities of hypothetical fish classes

    28 Jun 2013 | | Contributor(s):: Lisa Sproat, Jessica S Johnson, NanoBio Node

    Computes the posterior probabilities of each of three hypothetical fish classes using Bayes' rule

  2. [Illinois]: Fish classification using back-propagation

    28 Jun 2013 | | 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

  3. [Illinois]: Avoidance Learn Simulation with 'Call' Neuron

    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.

  4. [Illinois]: Avoidance Learn Simulation

    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).

  5. [Illinois]: Sigmoidal unit training with the delta rule

    26 Jun 2013 | | 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

  6. Hydrodynamic Particle Trapping

    14 Jun 2013 | | Contributor(s):: Melikhan tanyerim@illinois.edu Tanyeri, John Feser, Nahil Sobh

    Simulates the motion of a nanoparticle in a hydrodynamic trap.

  7. [Illinois]: Predictor-corrector simulation of parabigeminal nucleus neural responses

    24 Jun 2013 | | Contributor(s):: Lisa Sproat, NanoBio Node, Jessica S Johnson

    Implements a predictor-corrector simulation of the responses of neurons in the parabigeminal nucleus

  8. [Illinois]: Midbrain dopamine neuron responses to temporal-difference learning

    21 Jun 2013 | | Contributor(s):: Lisa Sproat, Jessica S Johnson, NanoBio Node

    Simulates the responses of midbrain dopamine neurons using temporal difference learning

  9. [Illinois]: Velocity storage and leakage

    04 Jun 2013 | | 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

  10. [Illinois]: Kohonen self-organizing map (SOM) algorithm

    19 Jun 2013 | | Contributor(s):: Bara Saadah, John Feser, NanoBio Node, Jessica S Johnson

    This too implements the Kohonen self-organizing map (SOM) algorithm

  11. Locust-flight central pattern generator

    06 Jun 2013 | | 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

  12. Two-unit oculomotor integrator

    04 Jun 2013 | | Contributor(s):: Lisa L Sproat, Jessica S Johnson, NanoBio Node

    Implements the two-unit model of the integrator of the oculomotor system

  13. [Illinois]: Two leaky integrators in series

    31 May 2013 | | 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

  14. Accurate Chemical Master Equation (ACME)

    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.

  15. [Illinois]: Gill withdrawal habituation

    13 May 2013 | | Contributor(s):: John Feser, Jessica S Johnson, NanoBio Node

    A very simple simulation of habituation of the Aplysia gill withdrawal reflex.

  16. [Illinois] NBSS11: First Impressions; Ravikant Samantham

    05 Jun 2013 | | Contributor(s):: Nadia Jassim

    Biophotonics Summer School 2011May 21st - June 1st 2011 Urbana-Champaign, IllinoisThe Biophotonics Summer School brings together from a wide variety of disciplines to teach students about the biophotonics field. In 2011, some of the topics covered included principles of biophotonics, technology...

  17. Pattern Formation in Bacterial Populations

    03 May 2013 | | Contributor(s):: Ting Lu, John Feser, Nahil Sobh, Pratik Naik

    Synthetic biology tool for engineering patterning systems.

  18. [Illinois] PCL Experiment Tutorial

    10 Apr 2012 |

    This experiment and technique is used for trapping and isolating single cells for studying cell motion and its subsequent displacement. Polyacrylamide gel is used in the PCL experiment to help with this purpose.

  19. [Illinois] Nanotechnology-Enabled Advances in Biomedical and Energy Research

    10 Apr 2012 | | Contributor(s):: Michael McAlpine

    Nanotechnology-Enabled Advances in Biomedical and Energy ResearchThe development of a method for interfacing high-performance devices with flexible, stretchable, and biocompatible materials could yield breakthroughs in implantable or wearable systems. Yet, most high-quality materials are hard or...

  20. [Illinois] Biosensing Summer Series 2010

    02 Feb 2012 |

    July 12 – July 23, 2010 at the University of Illinois at Urbana-ChampaignVenue: Micro and Nanotechnology Laboratory (MNTL)Advances in informatics, nanotechnology, and deeper understanding of biological systems have provided new opportunities to make fundamental advances in sensing and dynamic...