Paul A. Merolla
74Patents
12h-index
36Co-inventors
80Inventor score
Filing activity: Dec 8, 2010 → Dec 27, 2021
Most-cited inventions
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US8812414B2 | Low-power event-driven neural computing architecture in neural networks | Physics | 65 | Active |
| US8909576B2 | Neuromorphic event-driven neural computing architecture in a scalable neural network | Physics | 54 | Active |
| US9159020B2 | Multiplexing physical neurons to optimize power and area | Physics | 44 | Active |
| US8990130B2 | Consolidating multiple neurosynaptic cores into one memory | Physics | 43 | Active |
| US9466022B2 | Hardware architecture for simulating a neural network of neurons | Physics | 21 | Active |
| US9373073B2 | Time-division multiplexed neurosynaptic module with implicit memory addressing for implementing a universal substrate of adaptation | Physics | 19 | Active |
| US8473439B2 | Integrate and fire electronic neurons | Physics | 18 | Active |
| US9269044B2 | Neuromorphic event-driven neural computing architecture in a scalable neural network | Physics | 15 | Active |
| US9818058B2 | Time-division multiplexed neurosynaptic module with implicit memory addressing for implementing a universal substrate of adaptation | Physics | 13 | Active |
| US9160617B2 | Faulty core recovery mechanisms for a three-dimensional network on a processor array | Electricity | 13 | Active |
| US9852006B2 | Consolidating multiple neurosynaptic core circuits into one reconfigurable memory block maintaining neuronal information for the core circuits | Physics | 12 | Active |
| US9992057B2 | Yield tolerance in a neurosynaptic system | Electricity | 12 | Active |
| US9244124B2 | Initializing and testing integrated circuits with selectable scan chains with exclusive-or outputs | Physics | 11 | Active |
| US9971965B2 | Implementing a neural network algorithm on a neurosynaptic substrate based on metadata associated with the neural network algorithm | Physics | 11 | Active |
| US9087301B2 | Hardware architecture for simulating a neural network of neurons | Physics | 11 | Active |
| US9218564B2 | Providing transposable access to a synapse array using a recursive array layout | Physics | 10 | Active |
| US9239984B2 | Time-division multiplexed neurosynaptic module with implicit memory addressing for implementing a neural network | Physics | 10 | Active |
| US9563841B2 | Globally asynchronous and locally synchronous (GALS) neuromorphic network | Physics | 10 | Active |
| US9053429B2 | Mapping neural dynamics of a neural model on to a coarsely grained look-up table | Physics | 9 | Active |
| US9189729B2 | Scalable neural hardware for the noisy-OR model of Bayesian networks | Physics | 9 | Active |
| US8990616B2 | Final faulty core recovery mechanisms for a two-dimensional network on a processor array | Electricity | 9 | Active |
| US9747545B2 | Self-timed, event-driven neurosynaptic core controller | Physics | 9 | Active |
| US9704094B2 | Mapping of algorithms to neurosynaptic hardware | Physics | 7 | Active |
| US9984324B2 | Dual deterministic and stochastic neurosynaptic core circuit | Physics | 6 | Active |
| US10204301B2 | Implementing a neural network algorithm on a neurosynaptic substrate based on criteria related to the neurosynaptic substrate | Physics | 6 | Active |
Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.