Humans accurately identify observed actions despite large dynamic changes in their retinal images and a variety of visual presentation formats. A large network of brain regions in primates participates in the processing of others’ actions, with the anterior intraparietal area (AIP) playing a major role in routing information about observed manipulative actions (OMAs) to the other nodes of the network. This study investigated whether the AIP also contributes to invariant coding of OMAs across different visual formats. We recorded AIP neuronal activity from two macaques while they observed videos portraying seven manipulative actions (drag, drop, grasp, push, roll, rotate, squeeze) in four visual formats. Each format resulted from the combination of two actor’s body postures (standing, sitting) and two viewpoints (lateral, frontal). Out of 297 recorded units, 38% were OMA-selective in at least one format. Robust population code for viewpoint and actor’s body posture emerged shortly after...

Stable readout of observed actions from format-dependent activity of monkey’s anterior intraparietal neurons

Marco Lanzilotto
First
;
2020-01-01

Abstract

Humans accurately identify observed actions despite large dynamic changes in their retinal images and a variety of visual presentation formats. A large network of brain regions in primates participates in the processing of others’ actions, with the anterior intraparietal area (AIP) playing a major role in routing information about observed manipulative actions (OMAs) to the other nodes of the network. This study investigated whether the AIP also contributes to invariant coding of OMAs across different visual formats. We recorded AIP neuronal activity from two macaques while they observed videos portraying seven manipulative actions (drag, drop, grasp, push, roll, rotate, squeeze) in four visual formats. Each format resulted from the combination of two actor’s body postures (standing, sitting) and two viewpoints (lateral, frontal). Out of 297 recorded units, 38% were OMA-selective in at least one format. Robust population code for viewpoint and actor’s body posture emerged shortly after...
2020
117
28
16596
16605
https://www.pnas.org/content/early/2020/06/23/2007018117?__cf_chl_jschl_tk__=b6ef823b13d60e9047a605d013ee865f45ff695f-1593528758-0-AXdemNE4EAmduqF5PNSCjeooZad-Rg-RvnOdLGuUDUgAhrortNq_YFYrNrD1PPPf915jBKCcXX0_k_xU1eAenV0TcnqqdLGyOSGJ4idX8ywiedvUMCnMProqgQblB5bfTx0m7r3IdtP2N2R59_i7vl_bBvEhPn9tx4BndQRyq5e4amkdV2nDQjXW-35VImS_IE8AQ13EI7jncWnWp4qBUhZMFGovoE-rfpdFGeWBkUWrxtX9hfo47ILaBsxGgY80sY_bZsL-S-sluzmU48by0IEWGQ0tek-a2ATnedH-A3kttyrEk7pQJx0yS5P6wvYo5g
Action observation; Neural decoding; Parietal cortex; Visual invariance;
Marco Lanzilotto; Monica Maranesi, Alessandro Livi, Carolina Giulia Ferroni, Guy A. Orban, Luca Bonini
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1742616
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