Evidence map›Paper›PMID 37168652›Full record

ArticleIEEE transactions on electron devices2022

A Neuromorphic Brain Interface based on RRAM Crossbar Arrays for High Throughput Real-time Spike Sorting.

Yuhan Shi, Akshay Ananthakrishnan, Sangheon Oh, Xin Liu, Gopabandhu Hota, Gert Cauwenberghs, Duygu Kuzum

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in IEEE transactions on electron devices, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Yuhan ShiElectrical and Computer Engineering Department. G. Cauwenberghs is with Bioengineering Department, University of California at San Diego, San Diego, CA 92093, USA.
Akshay AnanthakrishnanElectrical and Computer Engineering Department. G. Cauwenberghs is with Bioengineering Department, University of California at San Diego, San Diego, CA 92093, USA.
Sangheon OhElectrical and Computer Engineering Department. G. Cauwenberghs is with Bioengineering Department, University of California at San Diego, San Diego, CA 92093, USA.
Xin LiuElectrical and Computer Engineering Department. G. Cauwenberghs is with Bioengineering Department, University of California at San Diego, San Diego, CA 92093, USA.
Gopabandhu HotaElectrical and Computer Engineering Department. G. Cauwenberghs is with Bioengineering Department, University of California at San Diego, San Diego, CA 92093, USA.
Gert CauwenberghsElectrical and Computer Engineering Department. G. Cauwenberghs is with Bioengineering Department, University of California at San Diego, San Diego, CA 92093, USA.
Duygu KuzumElectrical and Computer Engineering Department. G. Cauwenberghs is with Bioengineering Department, University of California at San Diego, San Diego, CA 92093, USA.

Funding

E-Organoids: Functional Brain Organoids Co-grafted with Transparent MicrothreadsDP2EB030992 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KUZUM, DUYGU · 2020 to 2020
$2.4M
NIBIB NIH HHS DP2 EB030992
6 · The paper itself

Abstract

Real-time spike sorting and processing are crucial for closed-loop brain-machine interfaces and neural prosthetics. Recent developments in high-density multi-electrode arrays with hundreds of electrodes have enabled simultaneous recordings of spikes from a large number of neurons. However, the high channel count imposes stringent demands on real-time spike sorting hardware regarding data transmission bandwidth and computation complexity. Thus, it is necessary to develop a specialized real-time hardware that can sort neural spikes on the fly with high throughputs while consuming minimal power. Here, we present a real-time, low latency spike sorting processor that utilizes high-density CuO

Indexed as

Copper OxideCrossbarHigh ThroughputMemoryNon-volatile memoryReal-timeRRAMSpike SortingTemplate Matching

Identifiers

PMID37168652
PMCPMC10168101

What OpenQuestion holds

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Registered trials

None linked

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.