One of the central problems in neuroscience is the characterization and understanding of the neural code. In 1968 Perkel and Bullock defined four key functions for a candidate neural code ...
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New training technique opens the door to neural networks that require much less energyAI applications like ChatGPT are based on artificial neural networks that, in many respects, imitate the nerve cells in our brains. They are trained with vast quantities of data on high-performance ...
Based on a proprietary analog-mixed signal computing architecture, Innatera's processors leverage the computing capabilities of spiking neural networks to deliver ground-breaking cognition performance ...
Akida first neuromorphic IP available on the market. Inspired by the biological function of neurons and engineered on a digital logic process, the Akida’s event-based spiking neural network (SNN) ...
Dmitri Yudanov, Muhammad Shaaban, Roy Melton, Leon Reznik, 'GPU-based simulation of spiking neural networks with real-time performance ... Spaceborne Hybrid-FPGA System for Processing FTIR Data,' NASA ...
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