This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignees: Mohamed Bin Zayed University of Artificial Intelligence, Yeda Research and Development Ltd., Yeda Research and Develpment & Co. Ltd. Active years: 2003-2026.
Company Filing History:
1 out of 31 
1 out of 5 
1 out of 1,168 Years Active: 2003-2026
Title: The Innovative Mind of Ehud Ahissar
Introduction
Ehud Ahissar is a prominent inventor based in Rehovot, Israel. He has made significant contributions to the field of neuroscience and technology through his innovative work. His research focuses on the development of neuronal phase-locked loops, which have the potential to revolutionize how information is processed in neural networks.
Latest Patents
Ehud Ahissar holds a patent for a groundbreaking invention titled "Neuronal Phase-Locked Loops." This invention describes a neuronal phase-locked loop (NPLL) that can decode temporally-encoded information and convert it to a rate code. The NPLL is based on an algorithm similar to that of the electronic PLL but operates as a stochastic device implemented by neural networks, whether real or simulated. The simplest embodiment of the NPLL includes a phase detector and a controllable local oscillator connected in a negative feedback loop. The phase detector compares the firing times of the local oscillator and the input, providing an output whose firing rate is monotonically related to the time difference. This adaptive device can handle signals with unknown characteristics and can adjust to changing conditions.
Career Highlights
Ehud Ahissar is associated with Yeda Research and Development Co. Ltd., where he continues to explore innovative solutions in the field of neuroscience. His work has garnered attention for its potential applications in understanding and mimicking neural processes.
Collaborations
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Conclusion
Ehud Ahissar's contributions to the field of neuroscience through his invention of the neuronal phase-locked loop highlight his innovative spirit and dedication to advancing technology. His work continues to inspire future research and development in neural networks.