Evidence map›Paper›PMID 32457575›Full record

ArticleFrontiers in neuroscience2020

Event-Based Eccentric Motion Detection Exploiting Time Difference Encoding.

Giulia D'Angelo, Ella Janotte, Thorben Schoepe, James O'Keeffe, Moritz B Milde, Elisabetta Chicca, Chiara Bartolozzi

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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.

Giulia D'AngeloEvent Driven Perception for Robotics, Italian Institute of Technology, iCub Facility, Genoa, Italy.
Ella JanotteFaculty of Technology and Center of Cognitive Interaction Technology (CITEC), Bielefeld University, Bielefeld, Germany.
Thorben SchoepeFaculty of Technology and Center of Cognitive Interaction Technology (CITEC), Bielefeld University, Bielefeld, Germany.
James O'KeeffeBiosciences Institute, Newcastle University, Newcastle upon Tyne, United Kingdom.
Moritz B MildeInternational Centre for Neuromorphic Systems, The MARCS Institute, Western Sydney University, Sydney, NSW, Australia.
Elisabetta ChiccaFaculty of Technology and Center of Cognitive Interaction Technology (CITEC), Bielefeld University, Bielefeld, Germany.
Chiara BartolozziEvent Driven Perception for Robotics, Italian Institute of Technology, iCub Facility, Genoa, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Attentional selectivity tends to follow events considered as interesting stimuli. Indeed, the motion of visual stimuli present in the environment attract our attention and allow us to react and interact with our surroundings. Extracting relevant motion information from the environment presents a challenge with regards to the high information content of the visual input. In this work we propose a novel integration between an eccentric down-sampling of the visual field, taking inspiration from the varying size of receptive fields (RFs) in the mammalian retina, and the Spiking Elementary Motion Detector (sEMD) model. We characterize the system functionality with simulated data and real world data collected with bio-inspired event driven cameras, successfully implementing motion detection along the four cardinal directions and diagonally.

Indexed as

attentional selectivitybio-inspired visual systemeccentric down-samplingevent drivenhumanoid roboticsmotion detectionspiking elementary motion detection

Identifiers

PMID32457575
PMCPMC7227134

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Registered trials

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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.