Tags: neuroscience

Online Presentations (1-9 of 9)

  1. Soft, Biocompatible Optoelectronic Interfaces to the Brain

    08 Jun 2017 | Online Presentations | Contributor(s): John A. Rogers

    In this talk, we will describe foundational concepts in physics and materials science for these types of technologies, in 1D, 2D and 3D architectures. Examples in system level demonstrations...

    http://nanohub.org/resources/26702

  2. [Illinois] MCB 529 BRH Reproductive Rhythms

    07 Jan 2014 | Online Presentations | Contributor(s): Megan Mahoney, Martha U. Gillette

    http://nanohub.org/resources/20121

  3. [Illinois] MCB 529 BRH Nocturnal and Diurnal Adaptations

    30 Dec 2013 | Online Presentations | Contributor(s): Rhanor Gillette, Martha U. Gillette

    http://nanohub.org/resources/20117

  4. [Illinois] MCB 529 BRH Circadian Control of Liver Function

    30 Dec 2013 | Online Presentations | Contributor(s): Shelley Tischkau, Martha U. Gillette

    http://nanohub.org/resources/20118

  5. [Illinois] MCB 529 BRH Drugs of Abuse and Circadian Rhythms

    30 Dec 2013 | Online Presentations | Contributor(s): Joshua M Gulley, Martha U. Gillette

    http://nanohub.org/resources/20119

  6. [Illinois] MCB 493 Lecture 9: Probability Estimation and Supervised Learning

    30 Oct 2013 | Online Presentations | Contributor(s): Thomas J. Anastasio

    Supervised learning algorithms can train neural units and networks to estimate probabilities and simulate the responses of neurons to multisensory stimulation.

    http://nanohub.org/resources/18834

  7. [Illinois] MCB 493 Lecture 14: Future Directions in Neural Systems Modeling

    30 Oct 2013 | Online Presentations | Contributor(s): Thomas J. Anastasio

    In the future, neural systems models will become increasingly complex and will span levels from molecular interactions within neurons to interactions between networks

    http://nanohub.org/resources/18948

  8. [Illinois] MCB 493 Lecture 11: Temporal-Difference Learning and Reward Prediction

    29 Oct 2013 | Online Presentations | Contributor(s): Thomas J. Anastasio

    Temporal-difference learning can train neural networks to estimate the future value of a current state and simulate the responses of neurons involved in reward processing.

    http://nanohub.org/resources/18947

  9. [Illinois] MCB 529 BRH Why Do You Sleep At Night?

    17 May 2013 | Online Presentations | Contributor(s): Martha U. Gillette

    http://nanohub.org/resources/17151