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Fear The Mindreading Scientists! March 6, 2007

Posted by Johan in Mathematical Cognition, Neuroscience.
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Best headline this week: Mindreading Scientists Predict Behavior. Second only to the neurotic Freudian analyst in cliches about psychologists is the idea that psychologists can “read minds.”

Of course, to the extent that psychology is concerned with predicting human behaviour, and your mind is expressed in your behaviour, they are absolutely right. What people do tend to get wrong is the accuracy with which this is possible. As any number of factors influence a psychological trait, you generally end up with probabilistic estimates. In this case, Haynes and colleagues were able to predict with 71 percent accuracy whether the participant was mentally adding or subtracting numbers. This looks good until you realize that the level of chance in such a study is 50 percent. This, incidentally, is unimpressive compared to previous results of Daniel Langleben (the subject of a previous post) who achieved 85 percent accuracy at predicting whether subjects were lying or telling the truth about having viewed a particular playing card.

The two paradigms are not directly comparable, but they both point to a very real development in cognitive neuroscience: as scanner resolutions and methods improve, we are already at the point where predictions can be made about what someone’s internal events are, at a given point in time, and for a given task.

This may have ethical consequences, as Haynes and Rees (2006) outline. Conceivably, the ability to “read minds” could be used for sinister purposes by totalitarian states and others. However, I’m personally not that concerned, for a practical reason: in a real-life context, the predictions are never going to be good enough to be useful.

Psychologists have been able to make predictions about human behaviour for quite some time. What a hundred years or so of experimental psychology has taught us is that you rarely see a measure with enough accuracy to make it safe to conclude anything about the individual, based on their score on that measure alone. We can learn plenty about groups, but keep in mind that psychologists tend to get excited about any correlations over .5 (sometimes far less than that), and no one really gets over .8 outside of perception and other basic processes.

This is in part because psychological measures are not terribly good – direct measures of neural activity may indeed offer a way around the traditional problems of socially desirable responding and limited self-insight. But the limited predictive validity of these measures is also to do with the fact that human behaviour is the result of a complex interplay of disposition and environment. No matter how much you know about someone’s disposition, you cannot predict the environment – save for the gene-environment interactions often reported in behavioural genetics, i.e., the fact that people’s dispositions shape their environment: if you’re bright, you get put in the Magnet class; if you have a short temper, people will enjoy baiting you.

Outside of the laboratory, longer-term predictions based on neural activity will remain about as probabilistic as the behaviour-based predictions that psychologists have been making for decades. Advances in Neuroscience will not bring about Minority Report anytime soon.

Haynes, J.D., & Rees, G. (2006). Decoding Mental States from Brain Activity in Humans. Nature Reviews Neuroscience, 7, 523-534.

The Mental Number Line February 9, 2007

Posted by Johan in Cognition, Mathematical Cognition, Neuroscience.

If you close your eyes and imagine the numbers 1 through 9 on a line, what does the image that appears in your head look like? Most people will say that they imagine a horizontal line, with 1 on the left, and an orderly progression to 9 on the right. Naturally, this finding could be an effect of cultural convention in societies that use arabic numerals, but research indicates that there may be more to it than that. In this post I will outline some research in the field of mathematical cognition (sometimes known as numerical cognition), which suggests that this anecdotal finding may reveal a fundamental characteristic of how numbers are represented in the brain.

If you ask participants to press a key to the left for numbers larger than a reference number, and to press a key to the right for smaller numbers, an interesting pattern appears, after counterbalancing with the converse condition. On average, participants respond faster to smaller numbers with the left key, and to larger numbers with the right key. This is known as the Spatial-Numerical Association of Response Codes (or as its more catchy acronym, SNARC) (Dehaene et al, 1993). This finding has been interpreted as evidence that numbers are coded spatially in the brain. The coding appears to be relative: the same number will show a left-side advantage if it is smaller than the reference number in one condition, and a right-side advantage if it is larger than the reference in the next condition. The effect appears when numbers are presented as arabic digits or as written words, suggesting that the effect is mediated by abstract representations, rather than any characteristics of the visual form of the stimuli (Fias & Fischer, 2005).

At this point, you might think that the SNARC effect has something to do with lateralization: perhaps the left hemisphere is simply better at small numbers, and the right hemisphere is better at larger numbers. Aside fomr the difficulty in joining such a notion with the previously described relative coding, Dehaene et al (1993) showed convincingly that the effect is not a mere consequence of slower processing when information has to cross the corpus callosum: when participants responded with their hands crossed over, the left-side advantage for smaller numbers still appeared, even though the participant was now responding with the right hand, and vice versa. Other investigators have found SNARC effects when participants respond with a single hand (Fias & Fischer, 2005).

Turning to the brain, the hunt for a tidy line of neurons arranged in a line from left to right, has, unsurprisingly, been fruitless (Fias & Fischer, 2005). Still, some evidence suggests that the intraparietal sulcus is involved in number comparison tasks (Göbel et al, 2004). However, this area also responded to the spatial control task that was used in this particular experiment. The same pattern emerged when repeated transcranial magnet stimulation was applied to a nearby area, in order to disrupt neural activity. The SNARC effect was diminished, and so was performance in a visuospatial search task (Göbel, Walsh & Rushmore, 2001).

The failure to find specific neural activity for number comparison tasks in contrast to visuospatial tasks is not necessarily bad news for the idea of a mental number line: if number comparison and visuospatial search tasks activate the same areas, it could be viewed as converging evidence for a spatial organization of numbers. Same areas, and thus, the same form of processing. This sounds good, but runs into conceptual problems, as you are essentially trying to prove your hypothesis with a null result. The core of the problem with current paradigms appears to be that the control conditions which show no SNARC effect (e.g., visuospatial search) still produce activation patterns in fMRI that are not significantly different from that produced by the number comparison task.

Regardless, this area of neuroscience is in its infancy. It will be interesting to see if a neuroimaging approach can inform mathematical cognition in general and the SNARC paradigm in particular, beyond providing a probable brain location.

If you’d like to learn more about the mental number line, the chapter by Fias and Fischer (2005) is a good starting point.


Dehaene, S., Bossini, S., & Giraux, P. (1993). The Mental Representation of Parity and Number Magnitude. Journal of Experimental Psychology: General, 122, 371-396.

Fias, W., & Fischer, M.H. (2005). Spatial Representation of Numbers. In J.I.D. Campbell (ed.) Handbook of Mathematical Cognition. Hove: Psychology Press.

Göbel, S.M., Johansen-Berg, H., Behrens, T., & Rushworth, M.F.S. (2004). Response-Selection-Related Parietal Activation during Number Comparison. Journal of Cognitive Neuroscience, 16, 1-17.

Göbel, S., Walsh, V., & Rushworth, M.F.S. (2001). The Mental Number Line and the Human Angular Gyrus. Neuroimage, 14, 1278-1289.


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