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History of neuroscience of self-initiated action and volition: recent developments and paradigm shift

Authors: Trovó, Bianca; Schurger, A.;

History of neuroscience of self-initiated action and volition: recent developments and paradigm shift

Abstract

{"references": ["P. Alexander, A. Schlegel, and W. Sinnott-armstrong, Readiness potentials driven by non-motoric processes, Conscious Cogn, vol.39, pp.38-47, 2016.", "D. Russo and F. , Beyond the 'Bereitschaftspotential': Action preparation behind cognitive functions, Neurosci Biobehav Rev, vol.78, pp.57-81, 2016.", "I. Fried, R. Mukamel, and G. Kreiman, Internally generated preactivation of single neurons in human medial frontal cortex, Neuron, vol.69, pp.548-562, 2011.", "S. Gluth, J. Rieskamp, and C. B\u00fcchel, Classic EEG motor potentials track the emergence of value-based decisions, Neuroimage, vol.79, pp.394-403, 2013.", "K. Kagaya and M. Takahata, Sequential synaptic excitation and inhibition shape readiness discharge for voluntary behavior, Science, vol.332, issue.6027, pp.365-373, 2011.", "K. Kagaya and M. Takahata, Readiness discharge for spontaneous initiation of walking in crayfish, J Neurosci, vol.30, issue.4, pp.1348-62, 2010.", "N. Khalighinejad, A. Schurger, A. Desantis, L. Zmigrod, and P. Haggard, Precursor processes of human self-initiated action, Neuroimage, vol.165, pp.35-47, 2017.", "H. H. Kornhuber and L. Deecke, Brain potential changes in voluntary and passive movements in humans: readiness potential and reafferent potentials, Pflugers Arch -Eur J Physiol, p.468, 1115.", "P. Haggard, Human volition: towards a neuroscience of free will, Nat. Rev. Neurosc, pp.934-980, 2008.", "P. Haggard and M. Eimer, On the relation between brain potentials and the awareness of voluntary movements, Exp Brain Res, vol.126, issue.1, pp.128-161, 1999.", "B. Libet, C. A. Gleason, E. W. Wright, and D. Pearl, Time of conscious intention to act in relation to onset of cerebral activity (readiness-potential). The unconscious initiation of a freely voluntary act, Brain, vol.106, pp.623-665, 1983.", "A. R. Mele (edited), Surrounding free will -philosophy, psychology, neuroscience, Oxford University Press, 2015.", "M. Murakami, M. I. Vicente, G. M. Costa, and Z. F. Mainen, Neural antecedents of self-initiated actions in secondary motor cortex, Nat Neurosci, vol.17, issue.11, pp.1574-82, 2014.", "J. Rigato, M. Murakami, and Z. Mainen, Spontaneous Decisions and Free Will: Empirical Results and Philosophical Considerations, vol.79, pp.177-84, 2015.", "A. Schurger, M. Mylopoulos, and D. Rosenthal, Neural Antecedents of Spontaneous Voluntary Movement: A New Perspective, Trends Cogn Sci, vol.20, issue.2, pp.77-79, 2016.", "A. Schurger, J. Sitt, and S. Dehaene, An accumulator model for spontaneous neural activity prior to self-initiated movement, p.109, 2012.", "F. Sch\u00fc\u00fcr and P. Haggard, What are self-generated actions?, Conscious Cogn, vol.4, pp.1697-704, 2011.", "H. Shibasaki and M. Hallett, What is the Bereitschaftspotential?, Clin Neurophysiol, vol.117, issue.11, pp.2341-56, 2006.", "W. G. Walter, Slow potential waves in the human brain associated with expectancy, attention and decision, Arch Psychiatr Nervenkr, vol.206, pp.309-331, 1964.", "M. K. Van-vugt, P. Simen, L. Nystrom, P. Holmes, and J. D. Cohen, Lateralized readiness potentials reveal properties of a neural mechanism for implementing a decision threshold, PLoS One, vol.13, issue.3, 2014."]}

For decades several studies have been trying to find the source of ‘intention’ in the brain. Historically, we have two landmark studies.The first one, by Kornhuber and Deecke (1965) lead to the discovery of the readiness potential (BP), a slow buildup of neural activity preceding un-cued, “self-initiated” movements, whose location was identified in the preSMA and SMA areas of the brain. This buildup has been observed using both invasive and non- invasive neural recordings and in both vertebrate and invertebrate species. Around 20 years later, the experiment by Benjamin Libet (1983), showed a lag between the subjective time of the urge or intention to move and the neural decision to act represented by this electrophysiological signal of movement preparation, opening up a still running debate concerning the unawareness of neuronal mechanisms underlying free choices. In this panorama, the research on self-initiated action has so far proceeded under the assumption that this buildup reflects the beginning of a causal process of “planning and preparation for movement”. Recent developments in the field seriously challenge this assumption and have opened the door to a paradigm shift in this area of research. We will review the modern history of research on self-initiated movement and volition with a focus on these recent developments, suggesting how the introduction of formal computational models (accumulator or bounded-integration models) for the study of volition is playing a major role in this change of perspective.

This poster was presented at SfN (Society for Neuroscience) 2017 meeting held in Washington DC. Theme J: History, Education, and Society, J.01. History of Neuroscience, J.01.a. History of Neuroscience.

Country
France
Keywords

Volition, [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, [SDV.NEU.PC] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Psychology and behavior, bounded integration models, volition, Decision making theories, [SHS.PHIL] Humanities and Social Sciences/Philosophy, accumulator models, [SHS.HISPHILSO] Humanities and Social Sciences/History, Philosophy and Sociology of Sciences, [SHS.STAT] Humanities and Social Sciences/Methods and statistics, readiness potential, movement preparation, [SCCO.NEUR] Cognitive science/Neuroscience, Libet paradigm, self-initiated movements, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], electrophysiology, Accumulator models, [SCCO.PSYC] Cognitive science/Psychology, [INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation, Self-initiated movements, Readiness Potential, Stochastic Computational models, Decision making, [SDV.NEU.SC] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive Sciences, Bounded integration models

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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