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Neuronal population correlates of target selection and distractor filtering

View ORCID ProfileElaine Astrand, Claire Wardak, View ORCID ProfileSuliann Ben Hamed
doi: https://doi.org/10.1101/422873
Elaine Astrand
1Institut des Sciences Cognitives Marc Jeannerod, Département de Neuroscience Cognitive, CNRS UMR 5229, Université Claude Bernard Lyon I, 67 Boulevard Pinel, 69675 Bron Cedex, France
2School of innovation, design, and engineering, Mälardalen University, Högskoleplan 1, 721 23 Västerås, Sweden
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  • For correspondence: elaine.astrand@mdh.se benhamed@isc.cnrs.fr
Claire Wardak
1Institut des Sciences Cognitives Marc Jeannerod, Département de Neuroscience Cognitive, CNRS UMR 5229, Université Claude Bernard Lyon I, 67 Boulevard Pinel, 69675 Bron Cedex, France
3Imagerie et Cerveau, INSERM U1253, Université de Tours, Faculté de Médecine, 10 boulevard Tonnellé, 37032 Tours Cedex 1, France
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Suliann Ben Hamed
1Institut des Sciences Cognitives Marc Jeannerod, Département de Neuroscience Cognitive, CNRS UMR 5229, Université Claude Bernard Lyon I, 67 Boulevard Pinel, 69675 Bron Cedex, France
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  • For correspondence: elaine.astrand@mdh.se benhamed@isc.cnrs.fr
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Abstract

Frontal Eye Field (FEF) single-cell neuronal activity discriminates between relevant and irrelevant visual stimuli and its magnitude has been shown to predict conscious perception. How this is reflected at the population level in terms of spatial codes is unknown. We recorded neuronal population activity in the FEF while monkeys were performing a forced choice cued detection task with identical target and distractor stimuli. Using machine learning techniques, we quantified information about the spatial estimate of targets and distracters in the FEF population activity and we analyzed how these relate to the report of perception. We found that the FEF population activity provides a precise estimate of the spatial location of perception. This estimate doesn’t necessarily match the actual physical world. Importantly, the closer this prefrontal population estimate is to the veridical spatial information, the higher the probability that the stimulus was reported as perceived. This was observed both when the reported stimulus was a target (i.e. correct detection trials) or a distractor (i.e. false alarm trials). Overall, we thus show that how and what we perceive of our environments depends on the precision with which this environment is coded by prefrontal neuronal populations.

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Posted September 20, 2018.
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Neuronal population correlates of target selection and distractor filtering
Elaine Astrand, Claire Wardak, Suliann Ben Hamed
bioRxiv 422873; doi: https://doi.org/10.1101/422873
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Neuronal population correlates of target selection and distractor filtering
Elaine Astrand, Claire Wardak, Suliann Ben Hamed
bioRxiv 422873; doi: https://doi.org/10.1101/422873

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