Naturalism, theism, and multiply realizable mental states

2017 ◽  
Vol 54 (1) ◽  
pp. 91-105 ◽  
Author(s):  
KEVIN VANDERGRIFF

AbstractPaul Draper has argued that the scientific evidence for the dependence of mental states upon brain states provides a good reason for thinking that theism is very probably false because the extreme metaphysical dualism implied by theism makes it antecedently likely, if God exists, that minds should be fundamentally non-physical entities. However, Draper's argument assumes that what makes God's mind a mind is the immaterial stuff it is made of. But that assumption is potentially faulty. Why? Because, if functionalism is true, then all conceivable minds are fundamentally functional entities identified by what they do, rather than by what they are made of.

Sensors ◽  
2020 ◽  
Vol 20 (4) ◽  
pp. 988
Author(s):  
Ho-Seung Cha ◽  
Chang-Hee Han ◽  
Chang-Hwan Im

With the recent development of low-cost wearable electroencephalogram (EEG) recording systems, passive brain–computer interface (pBCI) applications are being actively studied for a variety of application areas, such as education, entertainment, and healthcare. Various EEG features have been employed for the implementation of pBCI applications; however, it is frequently reported that some individuals have difficulty fully enjoying the pBCI applications because the dynamic ranges of their EEG features (i.e., its amplitude variability over time) were too small to be used in the practical applications. Conducting preliminary experiments to search for the individualized EEG features associated with different mental states can partly circumvent this issue; however, these time-consuming experiments were not necessary for the majority of users whose dynamic ranges of EEG features are large enough to be used for pBCI applications. In this study, we tried to predict an individual user’s dynamic ranges of the EEG features that are most widely employed for pBCI applications from resting-state EEG (RS-EEG), with the ultimate goal of identifying individuals who might need additional calibration to become suitable for the pBCI applications. We employed a machine learning-based regression model to predict the dynamic ranges of three widely used EEG features known to be associated with the brain states of valence, relaxation, and concentration. Our results showed that the dynamic ranges of EEG features could be predicted with normalized root mean squared errors of 0.2323, 0.1820, and 0.1562, respectively, demonstrating the possibility of predicting the dynamic ranges of the EEG features for pBCI applications using short resting EEG data.


Philosophy ◽  
2015 ◽  
Author(s):  
Andrew Melnyk

In the sense relevant to this article, physicalism (or materialism; the two terms are used interchangeably in the literature) is a comprehensive view about the nature of the world to the effect that every phenomenon whatever is, or is at bottom, physical. As such, it obviously raises issues about the place of phenomenal consciousness, intentionality, and morality—among other things—in a purely physical world. But it also raises issues that are independent of these familiar special cases, and it is to them that this article is devoted. One cluster of issues concerns how to formulate a thesis of physicalism that is neither obviously true nor obviously false, and significant if true. This has generally been thought to require specifying (1) a narrow sense of “physical,” perhaps linked to physics, and (2) some relation of being nothing over and above such that phenomena that are not physical in the narrow sense can be claimed to be nothing over and above phenomena that are physical in the narrow sense; candidates for such a relation are identity, supervenience, realization, and, most recently, grounding. A second cluster of issues concerns the implications of physicalism. Is physicalism a posteriori? Is it (if true at all) necessarily true? Can physicalism avoid commitment to physical reductionism? If so, how, and if not, then is that a problem for physicalism? Is physicalism consistent with the countless claims of causation and causal explanation made in the special sciences and in everyday life? (This last issue overlaps so much with the problems of mental causation, which have a vast literature of their own, that it is not addressed in the present article; the reader is directed to the separate article on mental causation.) A third cluster of issues concerns how in principle we could have, and whether in fact we do have, empirical evidence that physicalism is true—or of course that it is false. For example, is it true that for every (narrow sense) physical effect there is a sufficient physical cause, that is, that the causal closure of the physical holds? And if it does, then can a case for physicalism be built upon it? Can observed correlations between reported mental states (say) and brain states provide reason to think that mental states just are brain states? A fourth cluster of issues concerns alternatives to physicalism. Aside from traditional forms of mind-body dualism, what possible alternatives are there? For example, panpsychism holds that phenomenal properties are the intrinsic aspects of the properties known in physics through their causal or structural aspects. Is this a physicalist view or not? What scope is there for theses of pluralism, or of neutral monism?


2019 ◽  
Vol 11 (1) ◽  
pp. 13-40
Author(s):  
Judith Pennington ◽  
Debbie Sabot ◽  
Dawson Church

Background Stress-reduction techniques can be used in combination with each other. Two such methods are Emotional Freedom Techniques (EFT) and EcoMeditation. EFT is an evidence-based self-help method. Reviews and meta-analyses examining more than 100 studies demonstrate the efficacy of EFT for anxiety, depression, and posttraumatic stress disorder (PTSD). EcoMeditation is a secular meditation technique that combines neurofeedback, mindfulness, and heart coherence. Studies demonstrate that EFT and EcoMeditation can improve cortisol levels, heart rate, and other health markers. Objectives EFT is most commonly used to relieve stress and treat traumatic childhood memories, while EcoMeditation is used to produce calm emotional states. This study sought to elucidate whether the release of traumatic stress facilitated by EFT would enhance entry into meditative states, and secondly whether EcoMeditation prior to EFT might establish a baseline of wellbeing that assists in the resolution of trauma. Methods The Mind Mirror 6 (MM) electroencephalogram (EEG) was used to assess brain states in eight participants attending a weekend workshop. The MM measures changes in three advanced neurophysiological states of consciousness characterized by relative amplitude relationships between brain-wave frequencies: 1) the Awakened Mind pattern of lucid awareness, creativity, insight, intuition, and spiritual connection; 2) the Evolved Mind of nondual unity consciousness; and 3) the Gamma Synchrony pattern of whole-brain synchrony, mental integration, nonlocal awareness, and insight. Assessments included eyes-closed (EC) and eyes-open (EO) states, in order to determine whether changes in consciousness were sustained in waking life. Baselines were collected at the start and end of each day, and after EcoMeditation, which was performed for 20 minutes on day two. Results A statistically significant EO posttest change was found in the Awakened Mind pattern (p = 0.003). Cohen’s d = 0.79 indicated a large treatment effect. Increased brainwave coherence—a measure of efficient brain function—was found in all participants in at least one frequency category, while six increased EO Gamma Synchrony. Coherence analytics showed increased brain-wave coherence primarily in alpha but also in theta and delta and occasionally in low and midrange gamma. During EcoMeditation, all participants generated high-amplitude 45–65 Hz gamma frequencies and Gamma Synchrony values, some at the top of the statistical range, with high synchrony at posttest. Conclusions EcoMeditation produced extraordinarily high levels of Gamma Synchrony. In two days, many participants acquired elevated brain states normally found only after years of meditation practice. EcoMeditation facilitated participants’ ability to induce and sustain the alpha brain waves characteristic of high-level emotional, mental, and spiritual integration. A combination of the two methods produced statistical gains in the EO Awakened Mind, indicating that participants were able to carry elevated mental states into waking consciousness.


2021 ◽  
pp. 214-251
Author(s):  
Jessica M. Wilson

Wilson considers whether consciousness is either Weakly or Strongly emergent. Some have seen consciousness as the best case for a Strongly emergent phenomenon, reflecting that subjective or qualitative aspects of consciousness depart so greatly from physical features that some anti-physicalist view (perhaps Strong emergence) must be true. Wilson considers two such ‘explanatory gap’ strategies, associated with the knowledge argument (Jackson 1982, 1986) and the conceivability argument (Chalmers 1996, 2009). She argues that each strategy fails, for reasons not much previously explored; hence while the Strong emergence of consciousness remains an open empirical possibility, there is currently no motivation for taking this to actually be so. Wilson then argues that attention to the determinable nature of qualitative conscious states provides good reason to take such states to be Weakly emergent by lights of a determinable-based account, and defends the application of such an account to mental states against various objections.


1994 ◽  
Vol 14 (5) ◽  
pp. 771-782 ◽  
Author(s):  
David A. Silbersweig ◽  
Emily Stern ◽  
Leonard Schnorr ◽  
Christopher D. Frith ◽  
John Ashburner ◽  
...  

Many neuropsychiatric symptom states are idiosyncratic, involuntary, randomly occurring, subjective, and transient. The brain states associated with these clinically important mental states cannot be imaged directly with existing positron emission tomography (PET) techniques. A new PET method that brings such mental/brain states under experimental control for analysis in single subjects is described. It utilizes a slow bolus H215O three-dimensional (3D) regional CBF imaging technique. The analysis focuses upon natural or experimentally induced variance in the temporal distribution of specific neuropsychological events over the course of a study session. For each scan, the amount of radioactivity entering the brain during these events is calculated to derive a score reflecting the contribution of the events to the image. A statistical analysis is then performed to identify those pixels in which the intensity covaries with the scan scores over the subject's scans. This permits the identification of the brain areas associated with the mental state of interest. The method is validated using an auditory sentence-monitoring task. The detection in single subjects of cerebral activations associated with recurrent events as brief as 2 s in duration is demonstrated. This method may be used as a means of imaging ephemeral neurologic or neuropsychiatric symptom states or as an alternative to a subtraction design for activation studies.


2017 ◽  
Vol 7 (4) ◽  
pp. 287-299 ◽  
Author(s):  
Jeffrey Jonathan (Joshua) Davis ◽  
Chin-Teng Lin ◽  
Grant Gillett ◽  
Robert Kozma

Abstract Electroencephalograph (EEG) data provide insight into the interconnections and relationships between various cognitive states and their corresponding brain dynamics, by demonstrating dynamic connections between brain regions at different frequency bands. While sensory input tends to stimulate neural activity in different frequency bands, peaceful states of being and self-induced meditation tend to produce activity in the mid-range (Alpha). These studies were conducted with the aim of: (a) testing different equipment in order to assess two (2) different EEG technologies together with their benefits and limitations and (b) having an initial impression of different brain states associated with different experimental modalities and tasks, by analyzing the spatial and temporal power spectrum and applying our movie making methodology to engage in qualitative exploration via the art of encephalography. This study complements our previous study of measuring multichannel EEG brain dynamics using MINDO48 equipment associated with three experimental modalities measured both in the laboratory and the natural environment. Together with Hilbert analysis, we conjecture, the results will provide us with the tools to engage in more complex brain dynamics and mental states, such as Meditation, Mathematical Audio Lectures, Music Induced Meditation, and Mental Arithmetic Exercises. This paper focuses on open eye and closed eye conditions, as well as meditation states in laboratory conditions. We assess similarities and differences between experimental modalities and their associated brain states as well as differences between the different tools for analysis and equipment.


2011 ◽  
Vol 29 (1) ◽  
pp. 233-279 ◽  
Author(s):  
Michael S. Moore

AbstractNeuroscience is commonly thought to challenge the basic way we think of ourselves in ordinary thought, morality, and the law. This paper: (1) describes the legal institutions challenged in this way by neuroscience, including in that description both the political philosophy such institutions enshrine and the common sense psychology they presuppose; (2) describes the three kinds of data produced by contemporary neuroscience that is thought to challenge these commonsense views of ourselves in morals and law; and (3) distinguishes four major and several minor kinds of challenges that that data can reasonably be interpreted to present. The major challenges are: first, the challenge of reductionism, that we are merely machines; second, the challenge of determinism, that we are caused to choose and act as we do by brain states that we do not control; third, the challenge of epiphenomenalism, that our choices do not cause our actions because our brains are the real cause of those actions; and fourth, the challenge of fallibilism, that we do not have direct access to those of our mental states that do cause our actions, nor are we infallible in such knowledge as we do have of them.


Sensors ◽  
2021 ◽  
Vol 22 (1) ◽  
pp. 96
Author(s):  
Eric James McDermott ◽  
Philipp Raggam ◽  
Sven Kirsch ◽  
Paolo Belardinelli ◽  
Ulf Ziemann ◽  
...  

EEG-based brain–computer interfaces (BCI) have promising therapeutic potential beyond traditional neurofeedback training, such as enabling personalized and optimized virtual reality (VR) neurorehabilitation paradigms where the timing and parameters of the visual experience is synchronized with specific brain states. While BCI algorithms are often designed to focus on whichever portion of a signal is most informative, in these brain-state-synchronized applications, it is of critical importance that the resulting decoder is sensitive to physiological brain activity representative of various mental states, and not to artifacts, such as those arising from naturalistic movements. In this study, we compare the relative classification accuracy with which different motor tasks can be decoded from both extracted brain activity and artifacts contained in the EEG signal. EEG data were collected from 17 chronic stroke patients while performing six different head, hand, and arm movements in a realistic VR-based neurorehabilitation paradigm. Results show that the artifactual component of the EEG signal is significantly more informative than brain activity with respect to classification accuracy. This finding is consistent across different feature extraction methods and classification pipelines. While informative brain signals can be recovered with suitable cleaning procedures, we recommend that features should not be designed solely to maximize classification accuracy, as this could select for remaining artifactual components. We also propose the use of machine learning approaches that are interpretable to verify that classification is driven by physiological brain states. In summary, whereas informative artifacts are a helpful friend in BCI-based communication applications, they can be a problematic foe in the estimation of physiological brain states.


Author(s):  
Frank Jackson

J.J.C. (Jack) Smart was born in England and studied at Glasgow and Oxford universities before moving to Australia to take up the Chair of Philosophy at Adelaide University. He was one of the earliest and most influential advocates of the mind-brain identity theory, the view that mental states are identical with brain states. He also played a major role in articulating and defending realism in science, the four-dimensional view of time and act utilitarianism in ethics.


2018 ◽  
Vol 16 (2) ◽  
pp. 125-155 ◽  
Author(s):  
Maria Pachalska ◽  
Bruce Duncan MacQueen ◽  
Ksenia Cielebąk

This paper is devoted to illustrating how process neuropsychology and neurolinguistics, based on microgenetic theory androoted in process thought, can help to explain the often baffling symptomatology of brain damage. Our purpose is to present an overview of this difficult and complex subject matter for readers, with particular emphasis on its creative potential. The essence of microgenetic theory in neuropsychology is an account of the phases in brain process through which successive mind/brain states arise and perish over the duration of the psychological present, measured in milliseconds. According to the theory, mental states are rhythmically generated out of a “core” in the anatomically deepest and phylogenetically oldest parts of the central nervous system, over phases to the outermost and youngest regions of the brain, the neocortex. The clinical applications are only one aspect of the creative potential of microgenetic theory. Indeed, the elegance of the theory consists in the way in which it can be extended into a number of different fields of endeavor, providing a kind of “unified field theory” for the explanation of often rather diverse phenomena. This provides an opportunity for neuropsychology and neurolinguistics to resume the interdisciplinary discourse they were founded to conduct.


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