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- Steven K. Esser, Paul Merolla, +13 authors Dharmendra S. Modha
- Proceedings of the National Academy of Sciencesâ€¦
- 2016

Deep networks are now able to achieve human-level performance on a broad spectrum of recognition tasks. Independently, neuromorphic computing has now demonstrated unprecedented energy-efficiencyâ€¦ (More)

- Rathinakumar Appuswamy, Massimo Franceschetti, Nikhil Karamchandani, Kenneth Zeger
- IEEE Transactions on Information Theory
- 2011

The following network computing problem is considered. Source nodes in a directed acyclic network generate independent messages and a single receiver node computes a target function f of theâ€¦ (More)

Solving real world problems with embedded neural networks requires both training algorithms that achieve high performance and compatible hardware that runs in real time while remaining energyâ€¦ (More)

- Rathinakumar Appuswamy, Ajit Kumar Chaturvedi
- IEEE Transactions on Information Theory
- 2008

Recently Golay complementary sets were shown to exist in the subsets of second-order cosets of a q-ary generalization of the first-order Reed-Muller (RM) code. We show that mutually orthogonal Golayâ€¦ (More)

- Steven K. Esser, Alexander Andreopoulos, +20 authors Dharmendra S. Modha
- The 2013 International Joint Conference on Neuralâ€¦
- 2013

Marching along the DARPA SyNAPSE roadmap, IBM unveils a trilogy of innovations towards the TrueNorth cognitive computing system inspired by the brain's function and efficiency. The non-von Neumannâ€¦ (More)

- Andrew S. Cassidy, Rodrigo Alvarez-Icaza, +35 authors Dharmendra S. Modha
- SC14: International Conference for Highâ€¦
- 2014

Drawing on neuroscience, we have developed a parallel, event-driven kernel for neurosynaptic computation, that is efficient with respect to computation, memory, and communication. Building on theâ€¦ (More)

- Nikhil Karamchandani, Rathinakumar Appuswamy, Massimo Franceschetti
- IEEE Transactions on Information Theory
- 2011

This paper considers the following network computation problem: n nodes are placed on a âˆšn Ã— âˆšn grid, each node is connected to every other node within distance r(n) of itself, and it is assigned anâ€¦ (More)

- Rathinakumar Appuswamy, Massimo Franceschetti
- IEEE Transactions on Information Theory
- 2014

We consider the scenario in which a set of sources generates messages in a network and a receiver node demands an arbitrary linear function of these messages. We formulate an algebraic test toâ€¦ (More)

- Rathinakumar Appuswamy, Ajit Kumar Chaturvedi
- IEEE Transactions on Information Theory
- 2006

In this correspondence, new characterizations for the construction of zero correlation zone (ZCZ) sequences from mutually orthogonal Golay complementary sets (MOGCS) is presented. It is shown thatâ€¦ (More)

Recent results show that deep neural networks achieve excellent performance even when, during training, weights are quantized and projected to a binary representation. Here, we show that this is justâ€¦ (More)