Can Our Robots Rely on an Emotionally Charged Vision-for-Action? An Embodied Model for Neurorobotics

Ferretti, G.; Chinellato, Eris

doi:10.1007/978-3-030-03104-6_5

Cited by 6 publications

(2 citation statements)

References 119 publications

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“…Because perception is closely coupled with action, embodied models can lead to better understanding of how perception leads to behavior (Ferretti and Chinellato, 2019). Transformations on the sensory input are done in the brain to yield an appropriate behavioral response to its environment.…”

Section: Perceptionmentioning

confidence: 99%

Neurorobots as a Means Toward Neuroethology and Explainable AI

et al. 2020

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Understanding why deep neural networks and machine learning algorithms act as they do is a difficult endeavor. Neuroscientists are faced with similar problems. One way biologists address this issue is by closely observing behavior while recording neurons or manipulating brain circuits. This has been called neuroethology. In a similar way, neurorobotics can be used to explain how neural network activity leads to behavior. In real world settings, neurorobots have been shown to perform behaviors analogous to animals. Moreover, a neuroroboticist has total control over the network, and by analyzing different neural groups or studying the effect of network perturbations (e.g., simulated lesions), they may be able to explain how the robot's behavior arises from artificial brain activity. In this paper, we review neurorobot experiments by focusing on how the robot's behavior leads to a qualitative and quantitative explanation of neural activity, and vice versa, that is, how neural activity leads to behavior. We suggest that using neurorobots as a form of computational neuroethology can be a powerful methodology for understanding neuroscience, as well as for artificial intelligence and machine learning.

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Section: Perceptionmentioning

confidence: 99%

Neurorobots as a Means Toward Neuroethology and Explainable AI

et al. 2020

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“…; Wu 2014; Shepherd 2015; Mole 2010; Briscoe 2009; Ferretti 2016b, c; Zipoli Caiani and Ferretti 2017; Brogaard 2011a, b; Nanay 2013) and empirical grounds(Verhoef et al 2011;Perry et al 2014;Wokke et al 2014;Borra et al 2007;Van Polanen and Davare 2015;Hoshi and Tanji 2007;Cohen et al 2009;Ferretti and Chinellato 2019).…”

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confidence: 99%

Between vision and action: introduction to the special issue

Ferretti

Caiani

2019

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The study of the mind is quite a universe. Within this universe, we find the world of perception. Those who have landed in this world know that this is a place of wonderful and breathtaking landscapes. Among the landscapes, we can find within the world of perception, there is one we have to fear most: the jungle between vision and action. Two main kinds of adventurers are brave enough to pursue the routes in this jungle: the philosopher and the neuroscientist. This special issue is a logbook of this trip along the insidious and marvelous pathways between vision and action.

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A Model for the Interlock Between Propositional and Motor Formats

Ferretti¹,

Caiani²

2019

Model-Based Reasoning in Science and Technology

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Can Our Robots Rely on an Emotionally Charged Vision-for-Action? An Embodied Model for Neurorobotics

Cited by 6 publications

References 119 publications

Neurorobots as a Means Toward Neuroethology and Explainable AI

Neurorobots as a Means Toward Neuroethology and Explainable AI

Between vision and action: introduction to the special issue

A Model for the Interlock Between Propositional and Motor Formats

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