Tags: teaching materials

All Categories (21-39 of 39)

  1. [Illinois]: Posterior target probability given single-sensory input (delta rule)

    02 Jul 2013 | 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)

  2. [Illinois]: Posterior probability of a target given single-sensory input (Bayes')

    28 Jun 2013 | | 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)

  3. [Illinois]: Posterior probability of a target given input for two senses (Bayes')

    28 Jun 2013 | | 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)

  4. [Illinois]: Posterior probability of a target given input for two senses (delta)

    28 Jun 2013 | | 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)

  5. [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

  6. [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

  7. [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

  8. [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

  9. [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

  10. 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

  11. [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

  12. Unit Cell Ranking Tasks

    14 Oct 2012 | | Contributor(s):: Tanya Faltens

    This set of ranking tasks is designed to help the learner work with and understand some of the features of common structures: planar densities, atomic densities, atomic packing factor and coordination numbers of different planes and unit cells. There are four pages-- be sure to click on...

  13. Ranking Task Warm Up -- exponentials and natural logs

    05 May 2012 | | Contributor(s):: Tanya Faltens

    Class warm up activity to be done in pairs. Students evaluate each of 8 terms and rank them from lowest to highest value. Some terms may have equal value. I have found that this is surprisingly challenging for most of my students. Bonus points can be given to the first team to complete the task...

  14. The Bohr Model of the Atom

    The Bohr Model of the Atom Brief Description A model proposed by Niels Bohr to support his hypothesis about electrons in a hydrogen atom. This is a model of the atomic structure in which...

    https://nanohub.org/wiki/TheBohrModeloftheAtom

  15. The Band Gap Energy and Material Classification Lesson

    The Band Gap Energy The band gap energy is the energy needed to break a bond in the crystal. When a bond is broken, the electron has absorbed enough energy to leave the valence band and...

    https://nanohub.org/wiki/TheBandGapEnergyandMaterialClassificationLesson

  16. Bulk-Charge Theory Lesson

    Lesson Topic: Bulk-Charge Theory Objective of Lesson: To understand the limitations of the two ID-VD-VG relationships, bulk-charge theory and square-law theory. Reading Assignment: Section...

    https://nanohub.org/wiki/BulkChargeTheoryLesson

  17. The Energy Band Model Lesson

    The Energy Band Model Brief Description Throughout the book, the energy band model, or band diagram, is used to describe the behavior of electrons and holes to externally applied forces like...

    https://nanohub.org/wiki/TheEnergyBandModelLesson

  18. Square-Law Theory Lesson

    Lesson Topic: Square-Law Theory Objective of Lesson: A little bit of exposure to the current-voltage models used for MOSFETs. Reading Assignment: Section 17.2.2 Homework: None Discussion...

    https://nanohub.org/wiki/SquareLawTheoryLesson

  19. Petrica Cristea

    https://nanohub.org/members/8737