Presenters

Presenter

Affiliation

Title

James Albus

George Mason University

Reverse Engineering The Human Visual System

Kwabena Boahen

Stanford University

Neurogrid: Emulating a million neurons in the cortex

James Anderson

Brown University

What can you do with your brain-inspired computer now that you’ve built it?

Greg Snider

HP Labs

Stable learning in networks of unreliable, memristive nanodevices

Bruce Schachter

Northrop Grumman

Neuromorphic Target Cuer

Karlheinz Meier

Universität Heidelberg, FACETS

VLSI Implementations of Very Large Scale Neuromorphic Circuits - Achievements, Challenges and Hopes

Greg Hornby

UC Santa Cruz-NASA

The ALPS-EA for Robust, Massively Parallel Optimization

Pradeep Dubey

Intel Corporation

Massive Data Computing

Craig Rasmussen

Los Alamos National Lab

PetaVision: A Software Architecture for Performing Petascale Simulations of Visual Cortex

Richard Granger

University of California, Irvine

Nonstandard engineering principles of brain circuits

Bob Thibadeau

CMU & Seagate Technology

When the storage device becomes the computer

Randall O'Reilly

Colorado University

Large scale learning models of visual object recognition

Dileep George

Numenta

A mathematical canonical cortical circuit model that can help build build future-proof parallel architecture