
Janae
http://nanohub.org/members/134905

Nikhil Khinchi
http://nanohub.org/members/127261

Saeyoung Macx Kim
http://nanohub.org/members/119055

Sep 18 2014
8th Neurodegenerative Conditions Research & Development Conference
It is our pleasure to announce the 8th Neurodegenerative Conditions Research & Development Conference, to be held on September 1819, 2014 in San Francisco, CA to discuss the latest scientific...
http://nanohub.org/events/details/994

AJAY RAJAK
http://nanohub.org/members/94009

[Illinois] MCB 529 BRH Reproductive Rhythms
07 Jan 2014  Online Presentations  Contributor(s): Megan Mahoney, Martha U. Gillette
http://nanohub.org/resources/20121

[Illinois] MCB 529 BRH Biological Rhythms in Health and Disease
30 Dec 2013  Courses  Contributor(s): Martha U. Gillette
Our major research thrusts are to understand: 1) signals that engage the circadian clockwork in the brain, 2) subcellular microenvironments that shape neuronal dendrites in development and...
http://nanohub.org/resources/20114

[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

[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

[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

[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

[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

[Illinois] MCB 493 Lecture 11: TemporalDifference Learning and Reward Prediction
29 Oct 2013  Online Presentations  Contributor(s): Thomas J. Anastasio
Temporaldifference 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

[Illinois] MCB 493 Neural Systems Modeling
29 Oct 2013  Courses  Contributor(s): Thomas J. Anastasio
The purpose of this independent study is to give students handson experience in using computers to model neural systems. A neural system is a system of interconnected neural elements, or units....
http://nanohub.org/resources/16704

[Illinois]: Posterior target probability given singlesensory input (delta rule)
02 Jul 2013  Tools  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)
http://nanohub.org/resources/unisensorydelta

[Illinois]: Posterior probability of a target given singlesensory input (Bayes')
01 Jul 2013  Tools  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)
http://nanohub.org/resources/unisensorybayes

[Illinois]: Posterior probability of a target given input for two senses (Bayes')
01 Jul 2013  Tools  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)
http://nanohub.org/resources/bisensorybayes

[Illinois]: Posterior probability of a target given input for two senses (delta)
01 Jul 2013  Tools  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)
http://nanohub.org/resources/bisensorydelta

[Illinois]: Posterior probabilities of hypothetical fish classes
01 Jul 2013  Tools  Contributor(s): Lisa Sproat, Jessica S Johnson, NanoBio Node
Computes the posterior probabilities of each of three hypothetical fish classes using Bayes' rule
http://nanohub.org/resources/fishbayesrule

[Illinois]: Fish classification using backpropagation
01 Jul 2013  Tools  Contributor(s): Lisa Sproat, Jessica S Johnson, NanoBio Node
Trains a threelayered network of sigmoidal units using backpropagation to classify fish according to their lengths
http://nanohub.org/resources/fishbackprop