Literature DB >> 34898604

From decision to action: Detailed modelling of frog tadpoles reveals neuronal mechanisms of decision-making and reproduces unpredictable swimming movements in response to sensory signals.

Andrea Ferrario1, Andrey Palyanov2, Stella Koutsikou3, Wenchang Li4, Steve Soffe5, Alan Roberts5, Roman Borisyuk1,6.   

Abstract

How does the brain process sensory stimuli, and decide whether to initiate locomotor behaviour? To investigate this question we develop two whole body computer models of a tadpole. The "Central Nervous System" (CNS) model uses evidence from whole-cell recording to define 2300 neurons in 12 classes to study how sensory signals from the skin initiate and stop swimming. In response to skin stimulation, it generates realistic sensory pathway spiking and shows how hindbrain sensory memory populations on each side can compete to initiate reticulospinal neuron firing and start swimming. The 3-D "Virtual Tadpole" (VT) biomechanical model with realistic muscle innervation, body flexion, body-water interaction, and movement is then used to evaluate if motor nerve outputs from the CNS model can produce swimming-like movements in a volume of "water". We find that the whole tadpole VT model generates reliable and realistic swimming. Combining these two models opens new perspectives for experiments.

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Mesh:

Year:  2021        PMID: 34898604      PMCID: PMC8699619          DOI: 10.1371/journal.pcbi.1009654

Source DB:  PubMed          Journal:  PLoS Comput Biol        ISSN: 1553-734X            Impact factor:   4.475


  71 in total

1.  The neuronal targets for GABAergic reticulospinal inhibition that stops swimming in hatchling frog tadpoles.

Authors:  W-C Li; R Perrins; A Walford; A Roberts
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2002-11-30       Impact factor: 1.836

2.  Reconfiguration of a vertebrate motor network: specific neuron recruitment and context-dependent synaptic plasticity.

Authors:  Wen-Chang Li; Bart Sautois; Alan Roberts; Stephen R Soffe
Journal:  J Neurosci       Date:  2007-11-07       Impact factor: 6.167

3.  Synaptic depression and cortical gain control.

Authors:  L F Abbott; J A Varela; K Sen; S B Nelson
Journal:  Science       Date:  1997-01-10       Impact factor: 47.728

4.  A motor cortex circuit for motor planning and movement.

Authors:  Nuo Li; Tsai-Wen Chen; Zengcai V Guo; Charles R Gerfen; Karel Svoboda
Journal:  Nature       Date:  2015-02-25       Impact factor: 49.962

Review 5.  Spikes alone do not behavior make: why neuroscience needs biomechanics.

Authors:  E D Tytell; P Holmes; A H Cohen
Journal:  Curr Opin Neurobiol       Date:  2011-06-15       Impact factor: 6.627

6.  The control of locomotor frequency by excitation and inhibition.

Authors:  Wen-Chang Li; Peter R Moult
Journal:  J Neurosci       Date:  2012-05-02       Impact factor: 6.167

7.  The generation of antiphase oscillations and synchrony by a rebound-based vertebrate central pattern generator.

Authors:  Wen-Chang Li; Robert Merrison-Hort; Hong-Yan Zhang; Roman Borisyuk
Journal:  J Neurosci       Date:  2014-04-23       Impact factor: 6.167

8.  Modelling the Effects of Electrical Coupling between Unmyelinated Axons of Brainstem Neurons Controlling Rhythmic Activity.

Authors:  Michael J Hull; Stephen R Soffe; David J Willshaw; Alan Roberts
Journal:  PLoS Comput Biol       Date:  2015-05-08       Impact factor: 4.475

9.  Structural and functional properties of a probabilistic model of neuronal connectivity in a simple locomotor network.

Authors:  Andrea Ferrario; Robert Merrison-Hort; Stephen R Soffe; Roman Borisyuk
Journal:  Elife       Date:  2018-03-28       Impact factor: 8.140

10.  A simple decision to move in response to touch reveals basic sensory memory and mechanisms for variable response times.

Authors:  Stella Koutsikou; Robert Merrison-Hort; Edgar Buhl; Andrea Ferrario; Wen-Chang Li; Roman Borisyuk; Stephen R Soffe; Alan Roberts
Journal:  J Physiol       Date:  2018-09-19       Impact factor: 5.182

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  1 in total

1.  Deploying and Optimizing Embodied Simulations of Large-Scale Spiking Neural Networks on HPC Infrastructure.

Authors:  Benedikt Feldotto; Jochen Martin Eppler; Cristian Jimenez-Romero; Christopher Bignamini; Carlos Enrique Gutierrez; Ugo Albanese; Eloy Retamino; Viktor Vorobev; Vahid Zolfaghari; Alex Upton; Zhe Sun; Hiroshi Yamaura; Morteza Heidarinejad; Wouter Klijn; Abigail Morrison; Felipe Cruz; Colin McMurtrie; Alois C Knoll; Jun Igarashi; Tadashi Yamazaki; Kenji Doya; Fabrice O Morin
Journal:  Front Neuroinform       Date:  2022-05-19       Impact factor: 3.739

  1 in total

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