Literature DB >> 26504200

Novel plasticity rule can explain the development of sensorimotor intelligence.

Ralf Der1, Georg Martius2.   

Abstract

Grounding autonomous behavior in the nervous system is a fundamental challenge for neuroscience. In particular, self-organized behavioral development provides more questions than answers. Are there special functional units for curiosity, motivation, and creativity? This paper argues that these features can be grounded in synaptic plasticity itself, without requiring any higher-level constructs. We propose differential extrinsic plasticity (DEP) as a new synaptic rule for self-learning systems and apply it to a number of complex robotic systems as a test case. Without specifying any purpose or goal, seemingly purposeful and adaptive rhythmic behavior is developed, displaying a certain level of sensorimotor intelligence. These surprising results require no system-specific modifications of the DEP rule. They rather arise from the underlying mechanism of spontaneous symmetry breaking, which is due to the tight brain body environment coupling. The new synaptic rule is biologically plausible and would be an interesting target for neurobiological investigation. We also argue that this neuronal mechanism may have been a catalyst in natural evolution.

Entities:  

Keywords:  development; neural plasticity; robotics; self-organization; sensorimotor intelligence

Mesh:

Year:  2015        PMID: 26504200      PMCID: PMC4653169          DOI: 10.1073/pnas.1508400112

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  37 in total

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Authors:  P D Roberts
Journal:  J Comput Neurosci       Date:  1999 Nov-Dec       Impact factor: 1.621

Review 2.  Is heterosynaptic modulation essential for stabilizing Hebbian plasticity and memory?

Authors:  C H Bailey; M Giustetto; Y Y Huang; R D Hawkins; E R Kandel
Journal:  Nat Rev Neurosci       Date:  2000-10       Impact factor: 34.870

Review 3.  G protein pathways.

Authors:  Susana R Neves; Prahlad T Ram; Ravi Iyengar
Journal:  Science       Date:  2002-05-31       Impact factor: 47.728

Review 4.  Cell-cell signaling during synapse formation in the CNS.

Authors:  Peter Scheiffele
Journal:  Annu Rev Neurosci       Date:  2003-02-26       Impact factor: 12.449

Review 5.  Homeostatic plasticity in the developing nervous system.

Authors:  Gina G Turrigiano; Sacha B Nelson
Journal:  Nat Rev Neurosci       Date:  2004-02       Impact factor: 34.870

6.  Spontaneously emerging cortical representations of visual attributes.

Authors:  Tal Kenet; Dmitri Bibitchkov; Misha Tsodyks; Amiram Grinvald; Amos Arieli
Journal:  Nature       Date:  2003-10-30       Impact factor: 49.962

7.  Real-time computation at the edge of chaos in recurrent neural networks.

Authors:  Nils Bertschinger; Thomas Natschläger
Journal:  Neural Comput       Date:  2004-07       Impact factor: 2.026

Review 8.  Integrative neuroscience: linking levels of analyses.

Authors:  Sten Grillner; Alexander Kozlov; Jeanette Hellgren Kotaleski
Journal:  Curr Opin Neurobiol       Date:  2005-10       Impact factor: 6.627

9.  Demystifying social cognition: a Hebbian perspective.

Authors:  Christian Keysers; David I Perrett
Journal:  Trends Cogn Sci       Date:  2004-11       Impact factor: 20.229

10.  Synapse-associated protein-97 isoform-specific regulation of surface AMPA receptors and synaptic function in cultured neurons.

Authors:  Gavin Rumbaugh; Gek-Ming Sia; Craig C Garner; Richard L Huganir
Journal:  J Neurosci       Date:  2003-06-01       Impact factor: 6.167

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  6 in total

1.  Reach Space Analysis of Baseline Differential Extrinsic Plasticity Control.

Authors:  Simon Birrell; Arsen Abdulali; Fumiya Iida
Journal:  Front Neurorobot       Date:  2022-06-01       Impact factor: 3.493

2.  Closed-loop Robots Driven by Short-Term Synaptic Plasticity: Emergent Explorative vs. Limit-Cycle Locomotion.

Authors:  Laura Martin; Bulcsú Sándor; Claudius Gros
Journal:  Front Neurorobot       Date:  2016-10-18       Impact factor: 2.650

3.  Self-Organized Behavior Generation for Musculoskeletal Robots.

Authors:  Ralf Der; Georg Martius
Journal:  Front Neurorobot       Date:  2017-03-16       Impact factor: 2.650

4.  General differential Hebbian learning: Capturing temporal relations between events in neural networks and the brain.

Authors:  Stefano Zappacosta; Francesco Mannella; Marco Mirolli; Gianluca Baldassarre
Journal:  PLoS Comput Biol       Date:  2018-08-28       Impact factor: 4.475

Review 5.  Fusing autonomy and sociality via embodied emergence and development of behaviour and cognition from fetal period.

Authors:  Yasuo Kuniyoshi
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-04-29       Impact factor: 6.237

6.  Unsupervised learning for robust working memory.

Authors:  Jintao Gu; Sukbin Lim
Journal:  PLoS Comput Biol       Date:  2022-05-02       Impact factor: 4.779

  6 in total

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