The Brain at Rest by Martijn D. Steenwijk

Martijn D. Steenwijk’s video was a winner in the category of Best Video Illustration of the Brain in the 2012 Brain Art Competition 2012, run by The Neuro Bureau.

Martijn’s description of ‘The Brain at Rest’ video:

“By visualizing both diffusion tensor and resting-state functional MR data, this movie illustrates different concepts of image processing, connectivity and activity in a real human brain at rest. Background music was composed by assigning a musical instrument to the ten strongest functional patterns in the brain. The intensities of these patterns vary over time while the person is at rest in the scanner – these are “spontaneous” brain fluctuations that receive much attention in fMRI research now. By linking the intensity of each pattern to the pitch of its respective instrument a melody is generated, thereby making brain activity audible. The first part of the movie illustrates the source of the melody by showing functional patterns and their varying strengths. The second part shows the major fiber bundles which were obtained by running deterministic tractography from atlas seeds. In the third part, the seeds were replaced by spherical objects ‘running’ around the cortical surface. The last part combines structural connectivity with functional connectivity. Here, functional connectivity is visualized using volume rendering of the voxelwise functional correlation matrix. Together with its structural counterpart, this last part illustrates that structural and functional connectivity are quite different”.

mind-brain identity theory, ‘brain-sex’ theory of transsexualism and the dimorphic brain


According to an influential neuroscientific theory, gender identity is encoded in the brain during intrauterine development. The brain is thought to develop in the male ‘direction’ through a surge of testosterone on nerve cells; in the female ‘direction’, this surge is thought to be absent (e.g., Savic et al. 2011; Swab, 2007). Call this the ‘standard view of gender identity’.

The standard view of gender identity offers an explanation of transsexualism. Since sexual differentiation of the brain occurs in the second half of pregnancy, and sexual differentiation of the sexual organs occurs in months 1-2 of pregnancy, trans-sexuality may occur. The relative masculinization of the brain at birth may not reflect the relative masculinization of the genitals (e.g., Bao & Swab, 2011; Savic et al. 2011; Veale et al. 2010). According to the standard view, transsexualism is entirely dependent on, and thereby reduces to, specific neurophysiological changes that occur during intrauterine growth in two interconnected organ types (i.e., brain and genitals).

The reductive nature of the standard view of gender identity is compatible with  mind-brain identity theory in philosophy of mind and consciousness. Mind-brain identity theory claims that mental states are identical to brain states. Concerning gender identity, mind-brain identity theory claims that a person’s gender identity is identical to neurophysiological mechanism. A strong and profound implication of this view, if it is correct, is that a person’s indubitable sense of being a ‘female’ or a ‘male’ is nothing more than the operations of neurophysiology encoded during intrauterine growth. Mind-brain identity theory contrasts with philosophies of mind which propose that minds are dependent but still somehow ‘more than’ the body on which they depend.

Brain-Sex Theory of Transsexualism and Mind-Brain Identity

According to the strong version of ‘brain-sex’ theory of transsexualism,  transsexualism is nothing more than (one and the same as) a specific neuranatomical (i.e., structural) intersex type, in which one or more sexually dimorphic brain areas are incompatible with bological sex. The theory therefore assumes that the relationship between transsexualism and neurophysiology is one of identity. Gender identity reduces to neurophysiology. Thus, there is a specific neuroanatomical type for female gender identity in male-to-female (MTF) transsexuals, and a specific neuroanatomical type for male gender identity in female-to-male (FTM) transsexuals. The most compelling neuroscientific evidence in support of an identity view of transsexualism comes from Kruijver et al. (2000) and Zhou et al. (1995).

Neuroscientific Evidence for Brain-Sex Theory of Transsexualism

Zhou et al. (1995)

Zhou et al. (1995) observed that a group of neurons in the hypothalamus, the central subdivision of the bed nucleus of the stria terminalis (BSTc), was sexually dimorphic in humans. Zhou et al. found that the average volume of the BSTc in postmortem males was roughly 44% larger than in females. However, in 6 male-to-female (MTF) transsexuals who had feminizing hormone treatment, the average volume of the BSTc was within the typical female range. The authors found that the 6 transsexuals they investigated varied in their sexual orientations and inferred that there was no relationship between BSTc size and the sexual orientation of transsexuals. I assume that this assertion implies that transsexual sexual orientation and BSTc size are not type identical; that is, they are not the same type. Finally, further postmortem investigations conducted in a small number of nontranssexual patients with abnormal hormone levels, led Zhou et al. to reason that the small volume of the BSTc in MTF transsexuals cannot be explained by adult sex hormone levels (p. 70). Thus, there appears to be a relationship of identity between transsexualism and small BSTc volume. They are one and the same.

Kruijver et al. (2000)

Kruijver et al. (2000) conducted a follow-up study in which they investigated the number of neurons in the BSTc rather than its volume. The authors examined tissue from the same 6 MTF transsexuals studied by Zhou et al. (1995). They also studied nerve tissue from one female-to-male (FTM) transsexual and from an 84-yr-old man who ‘had very strong cross-gender identity feelings but was never . . . sex-reassigned or treated . . . with estrogens’ (p. 2039). The authors found that BSTc neuron number was even more sexually dimorphic than BSTc volume; namely, the average BSTc neuron number in males was 71% higher than in females. Once again, the 6 MTF transsexuals showed a sex-reversed identity pattern, with an average BSTc neuron number in the female range. BSTc neuron number was also in the female range in the untreated gender dysphoric male and was in the male range in the FtM transsexual. Again, the putative sexual orientation of the MTF transsexuals appeared to make no difference. In contrast to the claims of the standard view of gender identity, data from the few non-transsexual patients with abnormal hormone levels led Kruijver et al. (2000) to conclude that ‘hormonal changes in adulthood did not show any clear relationship with the BSTc . . . neuron number’ (p. 2039).

Neuroscientific Objections to Brain-Sex Theory of Transsexualism

Chung et al. (2002)

Brain-sex theory of transsexualism faces several neuroscientific challenges. Chung et al. (2002) found that significant sexual dimorphism in BSTc size and neuron number does not develop in humans until adulthood. However, most MTF transsexuals self-report that their feelings of gender dysphoria began in early childhood (e.g., Lawrence, 2003). Since MTF transsexuals have not yet become sexually dimorphic by the time cross-gender feelings have become obvious, it is unlikely that BSTc volume and neuron number can be a neuroanatomical signature identifiable with gender identity. However, Chung et al. (2002) speculate that foetal or neonatal hormone levels could influence gender identity and could also produce changes in BSTc synaptic density, neuronal activity, or neurochemicals that may not affect BSTc volume or neuron number immediately, but may do so during adulthood. I am not aware of any evidence in support of this hypothesis. In any event, mind-brain identity theory can agree with Chung’s et al. (2002) speculation. Mind-brain identity theory is neutral on whether ‘brain characteristics’ will be macro or micro, or both, or what their specific developmental effects will be. Gender identity might be a state of the entire brain, synapses, or multiple, interacting physiological systems. Macro/microreductionism is optional, not required. Finally, Chung et al. (2002) speculate that inconsistency between an individual’s gender identity and biological sex might likely affect adult BSTc size and neuron number by some yet unknown mechanism or mechanisms. Given that neuroscience is in a very early stage of understanding gender identity, the implication that more time is needed to understand transsexualism appears prudent.

Joel (2011)

Joel (2011) challenges an implicit assumption in the standard view of gender identity; namely, human brains are one of two types –  ‘male’ or ‘female’ – and that the differences between these two types subserve subtype differences between men and women in gender identity and transsexualism. According to Joel (2011), this assumption is true only if there is robust correspondence (i.e., high statistical correlation) between the ‘male’/’female’ type of all of the brain characteristics in a single brain. It turns out there isn’t. As Joel points out, concerning most documented sex brain differences, there is overlap between the distributions of the two sexes (e.g., Juraska, 1991; Koscik et al. 2009). Neuroanatomical data also reveal that sex interacts with other factors during the intrauterine period and throughout life to determine brain structure (e.g., prenatal exposure to psychoactive drugs, early handling, rearing conditions, maternal separation, acute and chronic postnatal stress). Human brains therefore are a dynamic heterogeneous mosaic of ‘male’ and ‘female’ brain characteristics that cannot be type identified on a simple continuum between a ‘male type brain’ and a ‘female type brain’ (Joel, 2011). Thus, brains are not type sexed, but type intersexed; sexually multi-morphic rather than dimorphic.

Joel’s theory is compatible with brain-sex theory of transsexualism since both theories claim that transsexualism is intersexual, but incompatible because it denies what brain-sex theory asserts; namely, in transsexualism, one or more sexually dimorphic brain areas are incompatible with bological sex. Thus, Joel’s view rejects the stronger claim that gender is type identical with the sexually dimorphic brain. Accordingly, we cannot predict the specific properties of ‘male/female’ brain characteristics of an individual based on her/his sex.

However, Joel’s view implies the weaker consequence that, on average, we can predict that females will have more brain characteristics with the ‘female’ type than with the ‘male’ type (vice versa for FTM transsexuals), and males will have more brain characteristics with the ‘male’ type than with the ‘female’ type (vice versa for MTF transsexuals). Whether two individuals are similar or not is dependent on the similarity in the details of their brain mosaic; not on the quantity of ‘male’ and ‘female’ characteristics. This means that two similar individuals share characteristics of the same ‘brain mosiac’ type – they have the same type. Brains of the same type must possess the characteristics and properties typical of the type, but that does not imply that they all be exactly similar to one another. This implication is compatible with mind-brain identity theory.


Bao, A. M., & Swaab, D. F. (2011). Sexual differentiation of the human brain: relation to gender identity, sexual orientation and neuropsychiatric disorders. Frontiers in neuroendocrinology, 32(2), 214-226.

Chung, W. C., De Vries, G. J., & Swaab, D. F. (2002). Sexual differentiation of the bed nucleus of the stria terminalis in humans may extend into adulthood. Journal of Neuroscience, 22, 1027-1033.

Hines M. (2004). Brain Gender. Oxford: Oxford University Press.

Koscik, T., O’Leary, D., Moser, D. J., Andreasen, N. C., & Nopoulos, P. (2009). Sex differences in parietal lobe morphology: relationship to mental rotation performance. Brain Cognition, 69, 451–459.

Kruijver, F. P., Zhou, J. N., Pool, C. W., Hofman, M. A., Gooren, L. J., & Swaab, D. F. (2000). Male-to-female transsexuals have female neuron numbers in a limbic nucleus. Journal of Clinical Endocrinology and Metabolism, 85, 2034-2041.

Joel, D. (2011). Male or female? Brains are intersex. Frontiers in integrative neuroscience, 5, 57.

Juraska J. M. (1991). Sex differences in “cognitive” regions of the rat brain. Psychoneuroendocrinology 16, 105–109. doi: 10.1016/0306-4530(91)90073-3.

Lawrence, A. A. (2003). Factors associated with satisfaction or regret following male-to-female sex reassignment surgery. Archives of Sexual Behavior, 32, 299-315.

Savic, I., Garcia-Falgueras, A., & Swaab, D. F. (2010). 4 Sexual differentiation of the human brain in relation to gender identity and sexual orientation. Progress in Brain Research, 186, 41-65.

Swaab, D. F. (2007). Sexual differentiation of the brain and behavior. Best Practice & Research Clinical Endocrinology & Metabolism, 21(3), 431-444.

Veale, J. F., Clarke, D. E., & Lomax, T. C. (2010). Biological and psychosocial correlates of adult gender-variant identities: a review. Personality and Individual Differences, 48(4), 357-366.

Zhou, J. N., Hofman, M. A., Gooren, L. J., & Swaab, D. F. (1995). A sex difference in the human brain and its relation to transsexuality. Nature, 378, 68-70.

mind-brain identity – evidence from transsexualism

Is gender identity – the sense of being a man or a woman – a perception identical with the nonconscious physical brain or the conscious non-physical soul? Since people who identify as transsexual verbally self-report strong feelings of being the opposite sex and a feeling that their sexual characteristics are not constitutive of their actual gender, they are a powerful case in explaining the nature of gender identity and phenomenal consciousness.

It is possible that a person’s sense of gender identity may be subserved by an
nonconscious physical base with a specific neurophysiological or neural ‘signature’. Explaining gender identity in this direct way aims first to describe the base as a correlate of gender identity, then ultimately to achieve a reductive neurophysiological explanation of gender identity.

Neurophysiological mechanism and transexual experiences can be correlated for a variety of reasons: the mechanism is part of the cause of transexualism; the mechanism is part of the effect of transsexualism; the mechanism indirectly parallels transsexualism; the mechanism is what transsexualism can be identified with. Discovering the neurophysiological signature of transsexualism requires the identification of some neurophysiological mechanism with transsexualism. The correlation of mechanism x with transsexualism is informative because x may be the one for identifying transsexualism. Correspondingly, mechanism y that does not correlate with transsexualism indicates that y may not be the one. If there is a mechanism of transsexualism with a neurophysiological signature identifiable with transsexual experiences, the scientific and clinical benefits could be huge. Thus, investigating transsexualism directly is worth a try.

There is support for theoretical identification of gender identity with neurophysiological mechanism. According to the most influential theory, during the intrauterine period, two mechanical operations may occur: (1) in the female ‘direction’, there is no surge of testosterone on nerve cells; (2) in the male ‘direction’, there is a surge of testosterone on nerve cells. Since sexual differentiation of the brain occurs in the second half of pregnancy, and sexual differentiation of the sexual organs occurs in months 1-2 of pregnancy, transsexuality may result. Thus, the relative masculinzation of the brain at birth may not reflect the relative masculinization of the genitals (e.g., Berenbaum & Beltz, 2011; Savic et al. 2011; Veale et al. 2010).

One line of neuroscientific support for a neuroanatomical signature of gender identity derives from studies on whether gray matter volumes in (heterosexual) male-to female (MTF) transexuals before cross-sex hormonal treatment are correlated with people who share their biological sex (i.e., men), or people who share their gender identity (i.e., women). Luders et al. (2009) analyzed MRI data of 24 male-to-female (MTF) transsexuals and found that regional gray matter variation in MTF transsexuals correlates with the pattern found in men than in women. Luders et al. (2012) found thicker cortices in MTF transsexuals, both within regions of the left hemisphere (i.e., frontal and orbito-frontal cortex, central sulcus, perisylvian regions, paracentral gyrus) and right hemisphere (i.e., pre-/post-central gyrus, parietal cortex, temporal cortex, precuneus, fusiform, lingual, and orbito-frontal gyrus) than age-matched control males.

In contrast, Rametti et al. (2011) found that the white matter microstructure pattern in MTF transsexuals is halfway between the pattern of examined male and female controls. These differences may indicate that some fasciculi do not complete the masculinization mechanical operation in MTF transsexuals during foetal brain development. This implies that the social environment is co-constitutive of gender identity. Clearly, more research is needed to answer this question.

Another line of neuroscientific research has focused on intrinsic brain activity (i.e., brain resting-state) to investigate correlations between the spontaneous brain connectivity of transexuals and control groups. Santarnecchi et al. (2012) used both seed-voxel and atlas-based region-of-interest (ROI) approaches and found that brain regions sensitive to gender dimorphism (e.g., left lingual gyrus, precuneus) revealed robust correlations between the female-to-male (FTM) subject and female control group with regard to control males, with comparable extension and location of functional connectivity maps. ROI analysis supported this result, demonstrating an increased pattern of differences between the FTM subject and males and the FTM subject and females. No statistically significant difference was found between seed-voxel results in the FTM subject and females. This study supports the hypothesis that untreated FTM transgender shows a functional connectivity profile comparable to female control subjects.

Taken together, these findings provide evidence that transsexualism is correlated with a specific physical signature, in terms of neuroanatomy and brain connectivity, which supports the claim of mind-brain identity theory that neurophysiological mechanism is constitutive of gender identity. Thus, the most reasonable explanation of transsexualism and gender identity is that it is entirely physical in nature.


Berenbaum, S. A., & Beltz, A. M. (2011). Sexual differentiation of human behavior: Effects of prenatal and pubertal organizational hormones. Frontiers in Neuroendocrinology, 32(2), 183-200.

Luders, E., Sánchez, F. J., Gaser, C., Toga, A. W., Narr, K. L., Hamilton, L. S., & Vilain, E. (2009). Regional gray matter variation in male-to-female transsexualism. Neuroimage, 46(4), 904-907.

Luders, E., Sánchez, F. J., Tosun, D., Shattuck, D. W., Gaser, C., Vilain, E., & Toga, A. W. (2012). Increased Cortical Thickness in Male-to-Female Transsexualism. Journal of Behavioral and Brain Science, 2, 357-362.

Rametti, G., Carrillo, B., Gómez-Gil, E., Junque, C., Segovia, S., Gomez, Á., & Guillamon, A. (2011). White matter microstructure in female to male transsexuals before cross-sex hormonal treatment. A diffusion tensor imaging study. Journal of psychiatric research, 45(2), 199-204.

Santarnecchi, E., Vatti, G., Déttore, D., & Rossi, A. (2012). Intrinsic Cerebral Connectivity Analysis in an Untreated Female-to-Male Transsexual Subject: A First Attempt Using Resting-State fMRI. Neuroendocrinology, 96(3), 188-193.

Savic, I., Garcia-Falgueras, A., & Swaab, D. F. (2010). 4 Sexual differentiation of the human brain in relation to gender identity and sexual orientation. Progress in Brain Research, 186, 41-65.

Veale, J. F., Clarke, D. E., & Lomax, T. C. (2010). Biological and psychosocial correlates of adult gender-variant identities: a review. Personality and Individual Differences, 48(4), 357-366.

Will science make painfulness disappear?

Some philosophers worry that neuroscience will make painfulness disappear. Broadly, the objection is that if a science reduces a macro phenomenon to a micro phenomenon, then the macro phenomenon is not real or disappears (e.g., Searle, 1992). Using this conception of ‘reduction’, it is then reasoned that because it is observably obvious that a pain is real, it cannot be reduced to neuroscience. This misunderstanding trades on an idiosyncratic understanding of reduction, where it is expected that in science, reductions make macro phenomenon disappear. This expectation is confused.

Temperature was reduced to mean molecular kinetic energy, as recounted above, but no person expects that temperature therefore ceased to be real or became scientifically disrespectable or redundant. Visible light was reduced to electromagnetic radiation, but light did not disappear. Instead, scientists understand more about the real nature of light than they did before 1873. Light is real, no doubt; and so is temperature. Some expectations about the nature of temperature and light did change, and scientific progress does occasionally require rethinking what was believed about phenomenon. In certain instances, previously respectable properties and substances sometimes did prove to be unreal. The caloric theory of heat did not survive rigorous experimental testing; caloric fluid thus proved to be unreal. While no one expects that painfulness will cease to be real or become scientifically disrespectable if it is successfully explained by neuroscience, everyone believes that debilitating chronic pain will be controlled and eventually disappear as a result of scientific reduction. But this belief may turn out to be quite wrong. Simple prudence suggests that we wait and see.

Thus, the reduction of a macro phenomenon means only that there is an explanation of the phenomenon. Scientific explanations of phenomenon do not typically make them disappear. As neuroscience matures, the future of current conceptions of painfulness and sensory experience generally will rely on the empirical facts, and the enduring accuracy of current macro level theories (Churchland, 1993).

Churchland, P.M. (1993). Evaluating our self-conception. Mind and Language, 8, 211-222.
Searle, J.R. (1992). The Rediscovery of Mind. Cambridge, Mass.: MIT Press.

‘Chemical Brain Preservation: How to Live “Forever” – A Personal View’ by John M. Smart

Chemical Brain Preservation: How to Live “Forever” – A Personal View.

‘The Hard Problem of Consciousness’ – so what?

The problem of consciousness – its fundamental nature – is thought to be a hard problem; in fact, a really, really hard problem. Possibly the hardest of all!

Some philosophers (e.g., Colin McGinn, Zeno Vendler, David Chalmers) argue that a science of consciousness is impossible given the poverty of what is currently known and not known about consciousness.  Science is clearly overreaching itself, the philosophers wisely aver.

However – can it be told how hard consciousness is, as a problem, when not a lot of science is available on it? How is the difficulty or tractability of a problem judged?

The composition of stars was thought to be a really hard problem: you get burnt as soon as you try to obtain a sample. However, it turned out that this problem was readily solvable with the discovery of spectral analysis.

Explaining the perihelion of Mercury was also thought to be readily solvable; however, it required Einstein’s scientific revolution in physics to solve it. Thus, the initial estimate of the difficulty of this problem was quite wrong.

When not much is known about a problem, it is impossible to judge how difficult or tractable the problem is. Thus, personal convictions or feelings of certainty should be avoided, and replaced by scientifically informed judgements. This conclusion may lack glamour, but that is all that can be grinded out when ignorance is a premise. 

Is consciousness a problem amenable to scientific explanation? Well, as above, it is hard to tell, given what is currently known about consciousness at the level of the brain. 

What is the next step? Simple: do science. 

Just get on with it.

This does not imply that armchair theorising has nothing of value to contribute to the problem of consciousness. Quite the contrary. But, factually informed philosophizing can be sensitive to the empirical dimension of a problem, and that includes learning lessons from the history of science. This seems to me to make philosophy all the more wiser. Surely a good thing. 

Why turn your back on the relevant data?

Notes on the ‘mystery’ of consciousness

‘Consciousness is mysterious’ – this is a fact about us and what we currently know, not about the nature of consciousness. It is not a property of the problem of the nature of consciousness.

‘We cannot now explain consciousness’ – this does not mean that we can never explain it, even if we can’t imagine how we could explain it. We have to wait and see what neuroscience turns up.

The meaning of discovery in science

Science discovers basic identities. But, the identities it discovers just are the way things are. Why is a thing, the thing it is? It just is. As Bishop Butler put it: ‘Every thing is what it is, and not another thing’.

This sounds mysterious, but it is not.

Why is visible light actually electromagnetic radiation rather than something else entirely? Why is temperature mean molecular kinetic energy, rather than something else? Science does not offer explanations for basic identities. Rather, the discovery is that two descriptions refer to one and the same thing; or that two different measuring instruments measure in fact one and the same thing. There is no basic set of laws from which to derive that visible light is electromagnetic radiation or temperature is mean molecular kinetic energy.

Why is Venus Venus? Why is the Morning Star identical to the Evening Star? It just is.


How to lose faith in God

Moving, causing, surviving. That’s why animals have a central nervous system. And that’s how a religious person ought to lose faith in God: on the move.

Simulation (mimicry) is included under ‘moving’.

The best way for a religious person who already doubts his faith, but doesn’t know how to go on, is to enter into learning relationships with atheists. Such relationships, mediated by goodwill and the sincere desire to learn, allow the religious doubter to ‘try out’ atheism, to simulate it for its effects on self and others. Multiple simulations should be attempted.  Slow cure is all important. These experiences must be largely positive to induce attachment.

Sudden and dramatic loss of faith almost never happens, if ever, for the reward system in the brain needs to re-tune itself out of the current attractor-category (religion) and into the new attractor-category (atheism). This change takes time; sometimes years.

To lose faith in God, you need to do something. You do this by first copying others who are already masters of the game.

‘The human fetus cannot feel pain’

Fetal pain perception is often modelled on the same neural structures as in the adult.

However –

(1 The neural structures involved in pain processing in early development are unique and different from adults.

(2 Some of these structures and mechanisms are not maintained beyond specific developmental periods.

The immature pain system plays a signalling role during each stage of development, and fulfils this role using different neural resources available at specific developmental times.

Thus, the error here is reading the adult into the fetus.

‘How do I know that any person is conscious?’

‘How do I know that any person is conscious?’

‘ How do I know that I was conscious before the present moment?’

– radical skeptic

Since the radical skeptic excludes, in principle, any empirical controls to allay his doubt, he overplays his hand.

It is impossible to doubt everything, for that entails doubting the meaning of the very words used to express radical doubt (reductio ad absurdum).


Life’s ‘ratchet game’

How do we think about reality in a way that improves upon the old ways?

There is good news here: it is not entirely up to you to improve reality. Your children, and their children will do the job. So, sit back a little. Enjoy the ride!

Human beings have the unique capacity to play life’s ‘ratchet game’. Children learn the best society has to offer, and can improve upon it. And, your children’s children can start where your children left off. And so on.

My kids are already way ahead of me, since they started where I left off long, long ago, and also vastly ahead of cro-magnon humans. By contrast, chimpanzees start where their ancestors left off, and stay there. They don’t move from this place (chimps are still very cute, though).

Thus, humans can produce science and technology, and pass it on to their descendents. This gives human beings the chance to deploy science and AI tech to create increasingly accurate representations of ‘mind’, ‘DNA’, ‘autism’, ‘pain’, ‘happiness’, and so on. The ratchet game takes us beyond the familiar into exciting new territories.

(I wonder: Can academic philosophy play life’s ‘ratchet game’? It seems to me that philosophy is not terribly good at reaching out to other disciplines, and learning from them in the way that children naturally learn from parents.)

Does science make things disappear?

If a science reduces a macro phenomenon to a micro phenomenon, then the macro phenomenon either is not real or ‘goes away’. Is this true? Does science make things disappear?

Obstetrics is true, and babies are born every day. Or, are babies born in spite of obstetrics? Does understanding gynecology make women sterile?

At the same time, a science of pain will hopefully reduce – or eliminate – much pain (mammalian and non-mammalian). Science makes pain ‘go away’. Surely a good thing.

The nature of consciousness

‘The nature of consciousness is a conceptual problem’ – mainstream academic philosopher.

This seems mostly positioning to me: it characterizes philosophy as more fundamental than science and thereby sets the limits of science.

But, what is actually known about the target phenomena of consciousness (e.g., pain)?

Computers will soon act like human beings – then what?

One day, artificial thought will be achieved.

An artificially intelligent computer will say, “that makes me happy.”

Will it feel happy? Assume it will not.

Still: it will act as if it did.  It will act like an intelligent human being. And then what?

My hunch is that adult human beings will view intelligent computers as simplified versions of  themselves (child-like). Human children will view them as peers; ‘friendships’ will form between children and intelligent computers.

Why? I am reminded of Wittgenstein’s remark: ‘The human body is the best picture of the human soul’.

Look at this video of ASIMO.

How would you interact with ASIMO? What would your reactions be?

It is also remarkable that ASIMO does not possess any physiology.