Micah Richert

Publication Activity (10 Years)

Years Active: 2010-2016
Publications (10 Years): 2

Top Topics

Media Processing

Biologically Plausible

Spiking Neural Networks

Top Venues

Neuroinformatics

Publications

Filip Piekniewski, Patryk A. Laurent, Csaba Petre, Micah Richert, Dimitry Fisher, Todd Hylton
Unsupervised Learning from Continuous Video in a Scalable Predictive Recurrent Network. CoRR (2016)
Micah Richert, Dimitry Fisher, Filip Piekniewski, Eugene M. Izhikevich, Todd Hylton
Fundamental principles of cortical computation: unsupervised learning with prediction, compression and feedback. CoRR (2016)
Michael Beyeler, Micah Richert, Nikil D. Dutt, Jeffrey L. Krichmar
Efficient Spiking Neural Network Model of Pattern Motion Selectivity in Visual Cortex. Neuroinformatics 12 (3) (2014)
Kristofor D. Carlson, Micah Richert, Nikil D. Dutt, Jeffrey L. Krichmar
Biologically plausible models of homeostasis and STDP: Stability and learning in spiking neural networks. IJCNN (2013)
Jeffrey L. Krichmar, Nikil D. Dutt, Jayram Moorkanikara Nageswaran, Micah Richert
Neuromorphic modeling abstractions and simulation of large-scale cortical networks. ICCAD (2011)
Micah Richert, Jayram Moorkanikara Nageswaran, Nikil D. Dutt, Jeffrey L. Krichmar
An Efficient Simulation Environment for Modeling Large-Scale Cortical Processing. Frontiers Neuroinformatics 5 (2011)
Jayram Moorkanikara Nageswaran, Micah Richert, Nikil D. Dutt, Jeffrey L. Krichmar
Towards reverse engineering the brain: Modeling abstractions and simulation frameworks. VLSI-SoC (2010)