Author J. P. Lachaux
Lachaux J. P., Lutz A., Rudrauf D., Cosmelli D., Le Van Quyen M., Martinerie J. & Varela F. J. (2002) Estimating the time-course of coherence between single-trial brain signals: an introduction to wavelet coherence. Neurophysiologie Clinique 32(3): 157–174.
Lachaux J. P., Lutz A., Rudrauf D., Cosmelli D., Le Van Quyen M., Martinerie J. & Varela F. J.
(
2002)
Estimating the time-course of coherence between single-trial brain signals: an introduction to wavelet coherence.
Neurophysiologie Clinique 32(3): 157–174.
This paper introduces the use of wavelet analysis to follow the temporal variations in the coupling between oscillatory neural signals. Coherence, based on Fourier analysis, has been commonly used as a first approximation to track such coupling under the assumption that neural signals are stationary. Yet, stationary neural processing may be the exception rather than the rule. In this context, the recent application to physical systems of a wavelet-based coherence, which does not depend on the stationarity of the signals, is highly relevant. This paper fully develops the method of wavelet coherence and its statistical properties so that it can be practically applied to continuous neural signals. In realistic simulations, we show that, in contrast to Fourier coherence, wavelet coherence can detect short, significant episodes of coherence between non-stationary neural signals. This method can be directly applied for an ‘online’ quantification of the instantaneous coherence between two signals.
Lutz A., Lachaux J. P., Martinerie J. & Varela F. J. (2002) Guiding the study of brain dynamics by using first-person data: synchrony patterns correlate with ongoing conscious states during a simple visual task. PNAS 99(3): 1586–1591. https://cepa.info/2092
Lutz A., Lachaux J. P., Martinerie J. & Varela F. J.
(
2002)
Guiding the study of brain dynamics by using first-person data: synchrony patterns correlate with ongoing conscious states during a simple visual task.
PNAS 99(3): 1586–1591.
Fulltext at https://cepa.info/2092
Even during well-calibrated cognitive tasks, successive brain responses to repeated identical stimulations are highly variable. The source of this variability is believed to reside mainly in fluctuations of the subject’s cognitive ‘‘context’’ defined by his????her attentive state, spontaneous thought process, strategy to carry out the task, and so on… As these factors are hard to manipulate precisely, they are usually not controlled, and the variability is discarded by averaging techniques. We combined first-person data and the analysis of neural processes to reduce such noise. We presented the subjects with a three-dimensional illusion and recorded their electrical brain activity and their own report about their cognitive context. Trials were clustered according to these first-person data, and separate dynamical analyses were conducted for each cluster. We found that (i) characteristic patterns of endogenous synchrony appeared in frontal electrodes before stimulation. These patterns depended on the degree of preparation and the immediacy of perception as verbally reported. (ii) These patterns were stable for several recordings. (iii) Preparatory states modulate both the behavioral performance and the evoked and induced synchronous patterns that follow. (iv) These results indicated that first-person data can be used to detect and interpret neural processes.
Petitmengin C. & Lachaux J. P. (2013) Microcognitive sciences: Bridging experiential and neuronal microdynamics. Frontiers in Human Neurosciences 7: 617. https://cepa.info/934
Petitmengin C. & Lachaux J. P.
(
2013)
Microcognitive sciences: Bridging experiential and neuronal microdynamics.
Frontiers in Human Neurosciences 7: 617.
Fulltext at https://cepa.info/934
Neurophenomenology, as an attempt to combine and mutually enlighten neural and experiential descriptions of cognitive processes, has met practical difficulties which have limited its implementation into actual research projects. The main difficulty seems to be the disparity of the levels of description: while neurophenomenology strongly emphasizes the micro-dynamics of experience, at the level of brief mental events with very specific content, most neural measures have much coarser functional selectivity, because they mix functionally heterogeneous neural processes either in space or in time. We propose a new starting point for this neurophenomenology, based on (a) the recent development of human intra-cerebral EEG (iEEG) research to highlight the neural micro-dynamics of human cognition, with millimetric and millisecond precision and (b) a disciplined access to the experiential micro-dynamics, through specific elicitation techniques. This lays the foundation for a microcognitive science, the practical implementation of neurophenomenology to combine the neural and experiential investigations of human cognition at the subsecond level. This twofold microdynamic approach opens a line of investigation into the very cognitive acts in which the scission between the objective and the subjective worlds originates, and a means to verify and refine the dynamic epistemology of enaction. Relevance: The twofold microdynamic approach that we are advocating in this article not only provides a methodological solution to the problems of correlation between experiential and neuronal, first-person and third-person descriptions of our cognitive processes. It also opens a line of investigation into the very cognitive acts in which the scission between the objective and the subjective worlds originates, and a means to verify and refine the dynamic epistemology of enaction.
Rudrauf D., Lutz A., Cosmelli D., Lachaux J. P. & Le Van Quyen M. (2003) From autopoiesis to neurophenomenology: Francisco Varela’s exploration of the biophysics of being. Biological Research 36: 27–65. https://cepa.info/1140
Rudrauf D., Lutz A., Cosmelli D., Lachaux J. P. & Le Van Quyen M.
(
2003)
From autopoiesis to neurophenomenology: Francisco Varela’s exploration of the biophysics of being.
Biological Research 36: 27–65.
Fulltext at https://cepa.info/1140
Francisco Varela’s original approach to this “hard problem” presents a subjectivity that is radically intertwined with its biological and physical roots. It must be understood within the framework of his theory of a concrete, embodied dynamics, grounded in his general theory of autonomous systems. Through concepts and paradigms such as biological autonomy, embodiment and neurophenomenology, the article explores the multiple levels of circular causality assumed by Varela to play a fundamental role in the emergence of human experience. The concept of biological autonomy provides the necessary and sufficient conditions for characterizing biological life and identity as an emergent and circular self-producing process. Embodiment provides a systemic and dynamical framework for understanding how a cognitive entity – a mind – can arise in an organism in the midst of its operational cycles of internal regulation and ongoing sensorimotor coupling. Global subjective properties can emerge at different levels from the interactions of components and can reciprocally constrain local processes through an ongoing, recursive morphodynamics. Neurophenomenology is a supplementary step in the study of consciousness. Through a rigorous method, it advocates the careful examination of experience with first-person methodologies. It attempts to create heuristic mutual constraints between biophysical data and data produced by accounts of subjective experience. The aim is to explicitly ground the active and disciplined insight the subject has about his/her experience in a biophysical emergent process. Finally, we discuss Varela’s essential contribution to our understanding of the generation of consciousness in the framework of what we call his “biophysics of being.” Relevance: This paper reviews in detail Francisco Varela’s work on subjectivity and consciousness in the biological sciences.
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