Classical and surround receptive field structure in cortical area MT as revealed by reverse correlation - Micah Richert (2008)

Towards reverse engineering the brain: Modeling abstractions and simulation frameworks. - Jayram Moorkanikara Nageswaran; Micah Richert; Nikil D. Dutt; Jeffrey L. Krichmar (VLSI-SoC, 2010)

Neuromorphic modeling abstractions and simulation of large-scale cortical networks. - Jeffrey L. Krichmar; Nikil D. Dutt; Jayram Moorkanikara Nageswaran; Micah Richert (ICCAD, 2011)

An Efficient Simulation Environment for Modeling Large-Scale Cortical Processing. - Micah Richert; Jayram Moorkanikara Nageswaran; Nikil D. Dutt; Jeffrey L. Krichmar (Frontiers Neuroinformatics, 2011)

Biologically plausible models of homeostasis and STDP: Stability and learning in spiking neural networks. - Kristofor D. Carlson; Micah Richert; Nikil D. Dutt; Jeffrey L. Krichmar (IJCNN, 2013)

Efficient Spiking Neural Network Model of Pattern Motion Selectivity in Visual Cortex. - Michael Beyeler; Micah Richert; Nikil D. Dutt; Jeffrey L. Krichmar (Neuroinformatics, 2014)

Unsupervised Learning from Continuous Video in a Scalable Predictive Recurrent Network. - Filip Piekniewski; Patryk A. Laurent; Csaba Petre; Micah Richert; Dimitry Fisher; Todd Hylton (CoRR, 2016)

Fundamental principles of cortical computation: unsupervised learning with prediction, compression and feedback. - Micah Richert; Dimitry Fisher; Filip Piekniewski; Eugene M. Izhikevich; Todd Hylton (CoRR, 2016)