.png){kind=icon}
.png){kind=icon}
Return
Neuromorphic electronics based on copying and pasting the brain
.png){kind=icon}
PRE
AI
DOI：10.1038/s41928-021-00646-1.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
This Perspective explores the potential of an approach to neuromorphic electronics in which the functional synaptic connectivity map of a mammalian neuronal network is copied using a silicon neuro-electronic interface and then pasted onto a high-density three-dimensional network of solid-state memories. Reverse engineering the brain by mimicking the structure and function of neuronal networks on a silicon integrated circuit was the original goal of neuromorphic engineering, but remains a distant prospect. The focus of neuromorphic engineering has thus been relaxed from rigorous brain mimicry to designs inspired by qualitative features of the brain, including event-driven signalling and in-memory information processing. Here we examine current approaches to neuromorphic engineering and provide a vision that returns neuromorphic electronics to its original goal of reverse engineering the brain. The essence of this vision is to 'copy' the functional synaptic connectivity map of a mammalian neuronal network using advanced neuroscience tools and then 'paste' this map onto a high-density three-dimensional network of solid-state memories. Our copy-and-paste approach could potentially lead to silicon integrated circuits that better approximate computing traits of the brain, including low power, facile learning, adaptation, and even autonomy and cognition.
Keywords:
CMOS NANOELECTRODE ARRAY
MEMRISTOR
CIRCUIT
NETWORK
NEUROSCIENCE
DESIGN
DEVICE
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
40.9
Papers:
1.7K
Citations:
2.1W
View more organizations