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Neuromorphic hardware for somatosensory neuroprostheses
In individuals with sensory-motor impairments, missing limb functions can be restored using
neuroprosthetic devices that directly interface with the nervous system. However, restoring …
neuroprosthetic devices that directly interface with the nervous system. However, restoring …
Testability and dependability of AI hardware: Survey, trends, challenges, and perspectives
Hardware realization of artificial intelligence (AI) requires new design styles and even
underlying technologies than those used in traditional digital processors or logic circuits …
underlying technologies than those used in traditional digital processors or logic circuits …
2022 roadmap on neuromorphic computing and engineering
Modern computation based on von Neumann architecture is now a mature cutting-edge
science. In the von Neumann architecture, processing and memory units are implemented …
science. In the von Neumann architecture, processing and memory units are implemented …
DYNAP-SE2: a scalable multi-core dynamic neuromorphic asynchronous spiking neural network processor
With the remarkable progress that technology has made, the need for processing data near
the sensors at the edge has increased dramatically. The electronic systems used in these …
the sensors at the edge has increased dramatically. The electronic systems used in these …
DenRAM: neuromorphic dendritic architecture with RRAM for efficient temporal processing with delays
Neuroscience findings emphasize the role of dendritic branching in neocortical pyramidal
neurons for non-linear computations and signal processing. Dendritic branches facilitate …
neurons for non-linear computations and signal processing. Dendritic branches facilitate …
Adaptive extreme edge computing for wearable devices
Wearable devices are a fast-growing technology with impact on personal healthcare for both
society and economy. Due to the widespread of sensors in pervasive and distributed …
society and economy. Due to the widespread of sensors in pervasive and distributed …
An electronic neuromorphic system for real-time detection of high frequency oscillations (HFO) in intracranial EEG
The analysis of biomedical signals for clinical studies and therapeutic applications can
benefit from embedded devices that can process these signals locally and in real-time. An …
benefit from embedded devices that can process these signals locally and in real-time. An …
Neuromorphic computing at scale
Neuromorphic computing is a brain-inspired approach to hardware and algorithm design
that efficiently realizes artificial neural networks. Neuromorphic designers apply the …
that efficiently realizes artificial neural networks. Neuromorphic designers apply the …
Computing of neuromorphic materials: an emerging approach for bioengineering solutions
The potential of neuromorphic computing to bring about revolutionary advancements in
multiple disciplines, such as artificial intelligence (AI), robotics, neurology, and cognitive …
multiple disciplines, such as artificial intelligence (AI), robotics, neurology, and cognitive …
Bottom-up and top-down approaches for the design of neuromorphic processing systems: Tradeoffs and synergies between natural and artificial intelligence
While Moore's law has driven exponential computing power expectations, its nearing end
calls for new avenues for improving the overall system performance. One of these avenues …
calls for new avenues for improving the overall system performance. One of these avenues …