Perspective on investigation of neurodegenerative diseases with neurorobotics approaches

Tolu, Silvia; Strohmer, Beck; Zahra, Omar

doi:10.1088/2634-4386/acc2e1

Cited by 6 publications

(2 citation statements)

References 90 publications

(139 reference statements)

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“…In this article, we show that when the tonic level of simulated dopamine in a robot model of the basal ganglia [ 36 ] is significantly reduced or increased, relative to a baseline, a variety of behavioural outcomes are observed that provide interesting comparisons with the results of animal studies, and with some of the observed behavioural consequences of dopamine dysregulation in disorders affecting the human basal ganglia. In this way, we hope that this article can contribute to the emerging field of computational psychiatry [ 37 ] and to the investigation of models of psychopathology via robotics [ 38 ].…”

Section: Introductionmentioning

confidence: 99%

Simulated Dopamine Modulation of a Neurorobotic Model of the Basal Ganglia

Prescott,

Montes González,

Gurney

et al. 2024

Biomimetics

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The vertebrate basal ganglia play an important role in action selection—the resolution of conflicts between alternative motor programs. The effective operation of basal ganglia circuitry is also known to rely on appropriate levels of the neurotransmitter dopamine. We investigated reducing or increasing the tonic level of simulated dopamine in a prior model of the basal ganglia integrated into a robot control architecture engaged in a foraging task inspired by animal behaviour. The main findings were that progressive reductions in the levels of simulated dopamine caused slowed behaviour and, at low levels, an inability to initiate movement. These states were partially relieved by increased salience levels (stronger sensory/motivational input). Conversely, increased simulated dopamine caused distortion of the robot’s motor acts through partially expressed motor activity relating to losing actions. This could also lead to an increased frequency of behaviour switching. Levels of simulated dopamine that were either significantly lower or higher than baseline could cause a loss of behavioural integration, sometimes leaving the robot in a ‘behavioral trap’. That some analogous traits are observed in animals and humans affected by dopamine dysregulation suggests that robotic models could prove useful in understanding the role of dopamine neurotransmission in basal ganglia function and dysfunction.

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Section: Introductionmentioning

confidence: 99%

Simulated Dopamine Modulation of a Neurorobotic Model of the Basal Ganglia

Prescott,

Montes González,

Gurney

et al. 2024

Biomimetics

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“…A historical perspective (Szczecinski et al 2023) gives a gentle introduction into the neuroscientific principles that underlie models and inspire neuromorphic robot controllers for legged robots. The other perspective (Tolu et al 2023) discusses the current trend of implementing tools for the pressing challenge of early diagnosis of neurodegenerative diseases and how brain-body models can help.…”

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confidence: 99%

Editorial: ‘Bioinspired Adaptive Intelligent Robots’

Donati,

Laschi,

Mazzolai

et al. 2023

Neuromorph. Comput. Eng.

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Understanding upper-limb movements via neurocomputational models of the sensorimotor system and neurorobotics: where we stand

Parziale,

Marcelli

2024

Artif Intell Rev

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Roboticists and neuroscientists are interested in understanding and reproducing the neural and cognitive mechanisms behind the human ability to interact with unknown and changing environments as well as to learn and execute fine movements. In this paper, we review the system-level neurocomputational models of the human motor system, and we focus on biomimetic models simulating the functional activity of the cerebellum, the basal ganglia, the motor cortex, and the spinal cord, which are the main central nervous system areas involved in the learning, execution, and control of movements. We review the models that have been proposed from the early of 1970s, when the first cerebellar model was realized, up to nowadays, when the embodiment of these models into robots acting in the real world and into software agents acting in a virtual environment has become of paramount importance to close the perception-cognition-action cycle. This review shows that neurocomputational models have contributed to the comprehension and reproduction of neural mechanisms underlying reaching movements, but much remains to be done because a whole model of the central nervous system controlling musculoskeletal robots is still missing.

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Perspective on investigation of neurodegenerative diseases with neurorobotics approaches

Cited by 6 publications

References 90 publications

Simulated Dopamine Modulation of a Neurorobotic Model of the Basal Ganglia

Simulated Dopamine Modulation of a Neurorobotic Model of the Basal Ganglia

Editorial: ‘Bioinspired Adaptive Intelligent Robots’

Understanding upper-limb movements via neurocomputational models of the sensorimotor system and neurorobotics: where we stand

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