This talk will provide a historical overview of developments in neurophysiology since the 17th century and reflect upon the concepts that have been adopted (or abandoned) by the machine learning community. It introduces a rubric to estimate the neuromorphic-ness of hardware (such as Intel's Loihi)
International audienceCurrent classical computers are playing a critical role in advanced research s...
Human brain outperforms the current von Neumann digital computer in many aspects, such as energy eff...
Continuous improvements in the VLSI domain have enabled the technology to mimic the neuro biological...
Trabajo presentado en la 84th Annual Meeting of the DPG and DPG Meeting of the Condensed Matter Sect...
Neuromorphic engineering attempts to understand the computational properties of neural processing sy...
The success of deep networks and recent industry involvement in brain-inspired computing is igniting...
Since its invention the modern day computer has shown a significant improvement in its performance a...
In the face of increasingly large computational demands and the impending halt to Moore's law, the s...
Neuromorphic engineering has just reached its 25th year as a discipline. In the first two decades ne...
Morabito FC, Andreou AG, Chicca E. Neuromorphic Engineering: From Neural Systems to Brain-Like Engin...
Neuromorphic systems are implementations in silicon of elements of neural systems. The idea of elect...
Indiveri G, Chicca E, Douglas RJ. Artificial cognitive systems: From VLSI networks of spiking neuron...
International audienceModern computation based on von Neumann architecture is now a mature cutting-e...
Neuromorphic systems are gaining increasing importance in an era where CMOS digital computing techni...
Neuromorphic Computing Technology (NCT) is becoming a reality in Europe thanks to a coordinated effo...
International audienceCurrent classical computers are playing a critical role in advanced research s...
Human brain outperforms the current von Neumann digital computer in many aspects, such as energy eff...
Continuous improvements in the VLSI domain have enabled the technology to mimic the neuro biological...
Trabajo presentado en la 84th Annual Meeting of the DPG and DPG Meeting of the Condensed Matter Sect...
Neuromorphic engineering attempts to understand the computational properties of neural processing sy...
The success of deep networks and recent industry involvement in brain-inspired computing is igniting...
Since its invention the modern day computer has shown a significant improvement in its performance a...
In the face of increasingly large computational demands and the impending halt to Moore's law, the s...
Neuromorphic engineering has just reached its 25th year as a discipline. In the first two decades ne...
Morabito FC, Andreou AG, Chicca E. Neuromorphic Engineering: From Neural Systems to Brain-Like Engin...
Neuromorphic systems are implementations in silicon of elements of neural systems. The idea of elect...
Indiveri G, Chicca E, Douglas RJ. Artificial cognitive systems: From VLSI networks of spiking neuron...
International audienceModern computation based on von Neumann architecture is now a mature cutting-e...
Neuromorphic systems are gaining increasing importance in an era where CMOS digital computing techni...
Neuromorphic Computing Technology (NCT) is becoming a reality in Europe thanks to a coordinated effo...
International audienceCurrent classical computers are playing a critical role in advanced research s...
Human brain outperforms the current von Neumann digital computer in many aspects, such as energy eff...
Continuous improvements in the VLSI domain have enabled the technology to mimic the neuro biological...
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