Evidence map›Paper›PMID 42878162›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

A Compact and Fast Single-Spike TTFS Encoder With Ultralow Operating Voltage for Efficient Neuromorphic Fourier Transform.

Yang Wu, Qi Wei, Junfeng Zhang, Lirou Su, Ning Mao, Beibei Huang, Jiaying Chen, Dian Huang, Shengzhong Feng, Yishu Zhang and 1 more

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Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Yang Wu *Guangdong Institute of Intelligence Science and Technology, Hengqin, Zhuhai, Guangdong, China.
Qi Wei *Guangdong Institute of Intelligence Science and Technology, Hengqin, Zhuhai, Guangdong, China.
Junfeng Zhang *Guangdong Institute of Intelligence Science and Technology, Hengqin, Zhuhai, Guangdong, China.
Lirou SuGuangdong Institute of Intelligence Science and Technology, Hengqin, Zhuhai, Guangdong, China.
Ning MaoGuangdong Institute of Intelligence Science and Technology, Hengqin, Zhuhai, Guangdong, China.
Beibei HuangGuangdong Institute of Intelligence Science and Technology, Hengqin, Zhuhai, Guangdong, China.
Jiaying ChenGuangdong Institute of Intelligence Science and Technology, Hengqin, Zhuhai, Guangdong, China.
Dian HuangGuangdong Institute of Intelligence Science and Technology, Hengqin, Zhuhai, Guangdong, China.ORCID https://orcid.org/0000-0002-4833-2376
Shengzhong FengGuangdong Institute of Intelligence Science and Technology, Hengqin, Zhuhai, Guangdong, China.
Yishu ZhangZJU-Hangzhou Global Scientific and Technological Innovation Center, College of Integrated Circuits, Zhejiang University (ZJU), Zhejiang, China.ORCID https://orcid.org/0000-0001-8774-7374
Shuai ZhongGuangdong Institute of Intelligence Science and Technology, Hengqin, Zhuhai, Guangdong, China.ORCID https://orcid.org/0009-0007-2283-5438

Funding

Major Program of the Natural Science Foundation of Zhejiang Province LDT23F0401National Natural Science Foundation of China 12404263National Natural Science Foundation of China 62204140National Natural Science Foundation of China 62204219
6 · The paper itself

Abstract

Fourier transform (FT) is an indispensable mathematical foundation for frequency-domain analysis in modern signal processing. However, conventional FT hardware relies on complex digital logic circuits, leading to high power consumption and poor adaptability. Spiking neural networks (SNNs) with time-to-first spike (TTFS) encoding offer advantages in energy efficiency, yet existing TTFS encoders suffer from high operating voltage, slow encoding speed, complex peripheral circuits, and redundant spike outputs. Here, we propose a compact, ultralow-voltage, and ultra-fast single-spike TTFS encoder based on a Pt/TaO

Indexed as

Fourier Transformsingle spikesub‐microsecond coding speedTTFS encoderultralow operation voltage

Identifiers

PMID42878162
PMCPMC13670328

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.