Resources (21-40 of 425)

1. Neural Systems Modeling Ch10-13 Master Tool

   This resource has a 0.0 Ranking

   Ranking is calculated from a formula comprised of user reviews and usage data. Learn more ›

   Usage Stats

   Total: updated 02 Mar 2015
   Users:	16

   Reviews & Citations

   Avg. Review:	0.0 out of 5 stars
   Citations:

   02 Aug 2013 | Tools | Contributor(s): Jessica S Johnson, NanoBio Node

   Combination of all tools used in Chapters 10-13 of Neural Systems Modeling by Anastasio

   http://nanohub.org/resources/nsmch10master

2. [Illinois]: Neural Systems Modeling Ch 6-9 Master Tool

   This resource has a 0.0 Ranking

   Ranking is calculated from a formula comprised of user reviews and usage data. Learn more ›

   Usage Stats

   Total: updated 02 Mar 2015
   Users:	6

   Reviews & Citations

   Avg. Review:	0.0 out of 5 stars
   Citations:

   26 Jul 2013 | Tools | Contributor(s): Jessica S Johnson, NanoBio Node

   Combination of all tools used in Chapters 6-9 of Neural Systems Modeling by Anastasio

   http://nanohub.org/resources/nsmch6master

3. [Illinois]: Error Gradient Estimations Due to Parallel Perturbation of Weights

   This resource has a 0.0 Ranking

   Ranking is calculated from a formula comprised of user reviews and usage data. Learn more ›

   Usage Stats

   Total: updated 02 Mar 2015
   Users:	4

   Reviews & Citations

   Avg. Review:	0.0 out of 5 stars
   Citations:

   07 Jul 2013 | Tools | Contributor(s): AbderRahman N Sobh, Jessica S Johnson, NanoBio Node

   This tool trains two-layered networks of sigmoidal units to associate patterns using simultaneous perturbation of weights.

   http://nanohub.org/resources/pertgradll

4. [Illinois]: Perturbative Reinforcement Learning to Develop Distributed Representations

   This resource has a 0.0 Ranking

   Ranking is calculated from a formula comprised of user reviews and usage data. Learn more ›

   Usage Stats

   Total: updated 02 Mar 2015
   Users:	6

   Reviews & Citations

   Avg. Review:	0.0 out of 5 stars
   Citations:

   10 Jul 2013 | Tools | Contributor(s): AbderRahman N Sobh, Jessica S Johnson, NanoBio Node

   This tool trains three-layered networks of sigmoidal units to associate patterns.

   http://nanohub.org/resources/pertdistrep

5. [Illinois]: Perturbative Reinforcement Learning Using Directed Drift

   This resource has a 0.0 Ranking

   Ranking is calculated from a formula comprised of user reviews and usage data. Learn more ›

   Usage Stats

   Total: updated 02 Mar 2015
   Users:	4

   Reviews & Citations

   Avg. Review:	0.0 out of 5 stars
   Citations:

   10 Jul 2013 | Tools | Contributor(s): AbderRahman N Sobh, Jessica S Johnson, NanoBio Node

   This tool trains two-layered networks of sigmoidal units to associate patterns using a real-valued adaptation of the directed drift algorithm.

   http://nanohub.org/resources/pertdd

6. [Illinois]: Temporal Difference, Iterative Dynamic Programming, and Least Mean Squares

   This resource has a 0.0 Ranking

   Ranking is calculated from a formula comprised of user reviews and usage data. Learn more ›

   Usage Stats

   Total: updated 02 Mar 2015
   Users:	7

   Reviews & Citations

   Avg. Review:	0.0 out of 5 stars
   Citations:

   11 Jul 2013 | Tools | Contributor(s): Bara Saadah, Nahil Sobh, AbderRahman N Sobh, Jessica S Johnson

   This tool updates state values using the Temporal Difference Algorithm.

   http://nanohub.org/resources/tempdiff

7. Crystalline Cellulose - Atomistic Toolkit

   This resource has a 0.0 Ranking

   Ranking is calculated from a formula comprised of user reviews and usage data. Learn more ›

   Usage Stats

   Total: updated 02 Mar 2015
   Users:	61

   Reviews & Citations

   Avg. Review:	0.0 out of 5 stars
   Citations:

   17 Jul 2013 | Tools | Contributor(s): Mateo Gómez Zuluaga, Robert J. Moon, Fernando Luis Dri, Pablo Daniel Zavattieri

   Crystalline Cellulose - Atomistic Toolkit

   http://nanohub.org/resources/ccamt

8. [Illinois] GEM4 Bionanotechnology Summer Institute 2013

   This resource has a 0.0 Ranking

   Ranking is calculated from a formula comprised of user reviews and usage data. Learn more ›

   Usage Stats

   Total: updated 02 Mar 2015
   Users:	3703

   Reviews & Citations

   Avg. Review:	0.0 out of 5 stars
   Citations:

   01 Aug 2013 | Workshops

   INSTITUTE FOCUS: Cancer Nanotechnology and Cellular Mechanics OBJECTIVES The overall objective is to enhance the ability to address overarching challenges in the areas of Cancer...

   http://nanohub.org/resources/19040

9. [Illinois]: Direction Selectivity

   This resource has a 0.0 Ranking

   Ranking is calculated from a formula comprised of user reviews and usage data. Learn more ›

   Usage Stats

   Total: updated 02 Mar 2015
   Users:	6

   Reviews & Citations

   Avg. Review:	0.0 out of 5 stars
   Citations:

   13 Jul 2013 | Tools | Contributor(s): Bara Saadah, Nahil Sobh, AbderRahman N Sobh, Jessica S Johnson, NanoBio Node

   This tool implements a simple direction selective network.

   http://nanohub.org/resources/dirselectivity

10. [Illinois]: Predict Correct Set Up

    This resource has a 0.0 Ranking

    Ranking is calculated from a formula comprised of user reviews and usage data. Learn more ›

    Usage Stats

    Total: updated 02 Mar 2015
    Users:	6

    Reviews & Citations

    Avg. Review:	0.0 out of 5 stars
    Citations:

    15 Jul 2013 | Tools | Contributor(s): Bara Saadah, Nahil Sobh, AbderRahman N Sobh, Jessica S Johnson, NanoBio Node

    This tool sets up a predictor-corrector model of target tracking

    http://nanohub.org/resources/predcorsetup

11. [Illiniois]: SynchUp

    This resource has a 0.0 Ranking

    Ranking is calculated from a formula comprised of user reviews and usage data. Learn more ›

    Usage Stats

    Total: updated 02 Mar 2015
    Users:	7

    Reviews & Citations

    Avg. Review:	0.0 out of 5 stars
    Citations:

    16 Jul 2013 | Tools | Contributor(s): Bara Saadah, Nahil Sobh, AbderRahman N Sobh, Jessica S Johnson, NanoBio Node

    This tool computes synchronous updates of autoassociative networks.

    http://nanohub.org/resources/synchup

12. [Illinois]: AsynchUp

    This resource has a 0.0 Ranking

    Ranking is calculated from a formula comprised of user reviews and usage data. Learn more ›

    Usage Stats

    Total: updated 02 Mar 2015
    Users:	7

    Reviews & Citations

    Avg. Review:	0.0 out of 5 stars
    Citations:

    16 Jul 2013 | Tools | Contributor(s): Bara Saadah, Nahil Sobh, AbderRahman N Sobh, NanoBio Node, Jessica S Johnson

    This tool computes asynchronous updates of autoassociative networks.

    http://nanohub.org/resources/asynchup

13. [Illinois] KohonenSOM

    This resource has a 0.0 Ranking

    Ranking is calculated from a formula comprised of user reviews and usage data. Learn more ›

    Usage Stats

    Total: updated 02 Mar 2015
    Users:	6

    Reviews & Citations

    Avg. Review:	0.0 out of 5 stars
    Citations:

    09 Jul 2013 | Tools | Contributor(s): Bara Saadah, Nahil Sobh, Jessica S Johnson, NanoBio Node

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

    http://nanohub.org/resources/kohonensom

14. [Illinois]: BUTDprobInference

    This resource has a 0.0 Ranking

    Ranking is calculated from a formula comprised of user reviews and usage data. Learn more ›

    Usage Stats

    Total: updated 02 Mar 2015
    Users:	5

    Reviews & Citations

    Avg. Review:	0.0 out of 5 stars
    Citations:

    17 Jul 2013 | Tools | Contributor(s): Bara Saadah, Jessica S Johnson, NanoBio Node

    This tool stimulates bottom-up/top-down processing in the visual system using probabilistic inference.

    http://nanohub.org/resources/butdprobinf

15. [Illinois]: BUTDjointDistribution

    This resource has a 0.0 Ranking

    Ranking is calculated from a formula comprised of user reviews and usage data. Learn more ›

    Usage Stats

    Total: updated 02 Mar 2015
    Users:	6

    Reviews & Citations

    Avg. Review:	0.0 out of 5 stars
    Citations:

    16 Jul 2013 | Tools | Contributor(s): Bara Saadah, Jessica S Johnson, NanoBio Node

    this tool simulates bottom-up/top-down processing in the visual system using the joint distribution

    http://nanohub.org/resources/butdjdist

16. [Illinois]: Running Average

    This resource has a 0.0 Ranking

    Ranking is calculated from a formula comprised of user reviews and usage data. Learn more ›

    Usage Stats

    Total: updated 02 Mar 2015
    Users:	3

    Reviews & Citations

    Avg. Review:	0.0 out of 5 stars
    Citations:

    10 Jul 2013 | Tools | Contributor(s): Bara Saadah, Nahil Sobh, Jessica S Johnson, NanoBio Node

    This tool implements a running average of a noise series.

    http://nanohub.org/resources/runningaverage

17. [illinois] BioMEMS and Bionanotechnology: Integration of Life Sciences and Engineering at the Micro and Nanoscale

    This resource has a 0.0 Ranking

    Ranking is calculated from a formula comprised of user reviews and usage data. Learn more ›

    Usage Stats

    Total: updated 02 Mar 2015
    Users:	28

    Reviews & Citations

    Avg. Review:	0.0 out of 5 stars
    Citations:

    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),

    http://nanohub.org/resources/5985

18. [Illinois]: Error Gradient Estimations Due to Perturbation of One Weight at a Time

    This resource has a 0.0 Ranking

    Ranking is calculated from a formula comprised of user reviews and usage data. Learn more ›

    Usage Stats

    Total: updated 02 Mar 2015
    Users:	4

    Reviews & Citations

    Avg. Review:	0.0 out of 5 stars
    Citations:

    29 Jun 2013 | Tools | Contributor(s): AbderRahman N Sobh, Jessica S Johnson, NanoBio Node

    This tool trains two-layered networks of sigmoidal units to associate patterns using perturbation of one weight at a time.

    http://nanohub.org/resources/pertgrad1by1

19. MAE 6291 Lecture 07: FET, WGM and GMR as Signal Transducers

    This resource has a 0.0 Ranking

    Ranking is calculated from a formula comprised of user reviews and usage data. Learn more ›

    Usage Stats

    Total: updated 02 Mar 2015
    Users:	28

    Reviews & Citations

    Avg. Review:	0.0 out of 5 stars
    Citations:

    07 Jul 2013 | Online Presentations | Contributor(s): jonathan silver

    F. Patolsky et al., Electrical detection of single viruses, Proc. Natl. Acad. Sci. 101:14017-14022 (2004) A. M. Armani et al., Label-free single molecule detection with optical...

    http://nanohub.org/resources/18851

20. MAE 6291 Lecture 06: Single-Molecule Fluorescence, TIRF, FRET

    This resource has a 0.0 Ranking

    Ranking is calculated from a formula comprised of user reviews and usage data. Learn more ›

    Usage Stats

    Total: updated 02 Mar 2015
    Users:	241

    Reviews & Citations

    Avg. Review:	0.0 out of 5 stars
    Citations:

    07 Jul 2013 | Online Presentations | Contributor(s): jonathan silver

    A. Jain et al., Probing cellular protein complexes using single-molecule pull-down. Nature 474: 484-489 (2012)

    http://nanohub.org/resources/18850