-
[Illinois] MCB 529 BRH Reproductive Rhythms
07 Jan 2014 | | Contributor(s):: Megan Mahoney, Martha U. Gillette
-
[Illinois] MCB 529 BRH Circadian Control of Liver Function
30 Dec 2013 | | Contributor(s):: Shelley Tischkau, Martha U. Gillette
-
[Illinois] Graphene Synthesis from Biochar using Wet Chemical Treatment Process
17 Dec 2013 | | Contributor(s):: Sriraam Chandrasekaran
Biochar is a major by-product from pyrolysis and gasification of biomass. Biochar finds potential applications in soil amendment, carbon sequestration, super capacitors, adsorbents, etc. However, its applicability is limited by its properties such as low carbon content, low porosity, and surface...
-
[Illinois] Computational Microscopy for Health and Technology
17 Dec 2013 | | Contributor(s):: Klaus Schulten
It is today becoming possible to view and study biological systems on the cellular scale using computational methods, offering insights into new solutions to mankind's health and energy needs. Engineers and scientists at our NIH Center for Macromolecular Modeling and Bioinformatics have...
-
[Illinois] The Spectacular Nano-Structured Attachment of Tendon to Bone and Our Appalling Attempts to Reconstitute It
17 Dec 2013 | | Contributor(s):: Guy Genin
Joining mechanically dissimilar materials is a challenge throughout engineering, with spectacular and often devastating failures. This challenge also underlies one of the worst procedures in all of medical practice, the surgical reattachment of tendon to bone. The body presents a highly effective...
-
[Illinois] Metal and Semiconductor Nanoparticles Supported on Graphene for Energy Conversion and Heterogeneous Catalysis
17 Dec 2013 | | Contributor(s):: M. Samy El Shall
Graphene has attracted great interest for a fundamental understanding of its unique structural and electronic properties and also for important potential applications in nanoelectronics and devices. The combination of highest mobility, thermal, chemical, and mechanical stability with the high...
-
[Illinois] B3SI 2012: Closing Session
17 Dec 2013 | | Contributor(s):: Rashid Bashir, Lizzanne DeStefano, Hsiang-Yu Angie Wang, Hao-Ming Hsiao, Jimmy K. Hsia, Laura Arriola Miller
Deeper understandings of biological systems and advances in nanotechnology have provided new opportunities to make significant progress in mechanobiology, biosensing and dynamic control of engineered systems, with wide range of applications such as cancer research. In order to take advantage of...
-
[Illinois] Microcapsules for Luminescent Tracking and Controlled Drug Delivery
16 Dec 2013 | | Contributor(s):: Yulia Maximenko
Polyelectrolyte microcapsules are formed on porous calcium carbonate templates that are impregnated and coated with 2.9 nanometer luminescent silicon nanoparticles. The complexes are characterized in suspension as well as in thin films using fluorescence microscopy, optical microscopy, and x-ray...
-
[Illinois] MCB 493 Lecture 13: Predictor-Corrector Models and Probabilistic Inference
30 Oct 2013 | | Contributor(s):: Thomas J. Anastasio
-
[Illinois] MCB 493 Lecture 10: Time Series Learning and Nonlinear Signal Processing
30 Oct 2013 | | Contributor(s):: Thomas J. Anastasio
-
[Illinois] MCB 493 Lecture 1: Vectors, Matrices, and Basic Neural Computations
30 Oct 2013 | | Contributor(s):: Thomas J. Anastasio
Using mathematical and computational methods to simulate many aspects of neural systems function.
-
[Illinois] MCB 493 Lecture 3: Forward and Recurrent Lateral Inhibition
30 Oct 2013 | | Contributor(s):: Thomas J. Anastasio
Networks with forward and recurrent laterally inhibitory connectivity profiles can shape signals in space and time, and simulate certain forms of sensory and motor processing.
-
[Illinois] MCB 493 Lecture 6: Supervised Learning and Non-Uniform Representations
30 Oct 2013 | | Contributor(s):: Thomas J. Anastasio
Supervised learning algorithms can train neural networks to associate patterns and simulate the non-uniform distributed representations found in many brain regions.
-
[Illinois] MCB 493 Lecture 7: Reinforcement Learning and Associative Conditioning
30 Oct 2013 | | Contributor(s):: Thomas J. Anastasio
Reinforcement learning algorithms can simulate certain types of associative conditioning and train neural networks to form non-uniform distributed representations.
-
[Illinois] MCB 493 Lecture 2: Recurrent Connections and Simple Neural Circuits
29 Oct 2013 | | Contributor(s):: Thomas J. Anastasio
Networks with recurrent connections, forming circuits, and containing only a few neural units can shape signals in time, produce oscillations, and simulate certain forms of low-level motor control.
-
[Illinois] MCB 493 Lecture 4: Covariation Learning and Auto-Associative Memory
29 Oct 2013 | | Contributor(s):: Thomas J. Anastasio
Networks with recurrent connection weights that reflect the covariation between pattern elements can dynamically recall patterns and simulate certain forms of memory.
-
[Illinois] MCB 493 Lecture 5: Unsupervised Learning and Distributed Representations
29 Oct 2013 | | Contributor(s):: Thomas J. Anastasio
Unsupervised learning algorithms, given only a set of input patterns, can train neural networks to form distributed representations of those patterns that resemble brain maps.
-
[Illinois] MCB 493 Lecture 8: Information Transmission and Unsupervised Learning
29 Oct 2013 | | Contributor(s):: Thomas J. Anastasio
Unsupervised learning algorithms can train neural networks to increase the amount of information they contain about their inputs and simulate the properties of sensory neurons.
-
[Illinois] Phys550 Lecture 14: Physics of the Neuron II
29 Oct 2013 | | Contributor(s):: Klaus Schulten
-
[Illinois] Phys550 Lecture 15: Physics of the Neuron III
29 Oct 2013 | | Contributor(s):: Klaus Schulten