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Ascribing psychological attributes to the brain

Leading figures of the first two generations of modern brain-neuroscientists were fundamentally Cartesian. Like Descartes, they distinguished the mind from the brain, and ascribed psychological attributes to the mind. The ascription of such attributes to human beings was, accordingly, derivative – as in Cartesian metaphysics. The third generation of neuroscientists, however, repudiated the dualism of their teachers. In the course of explaining the possession of psychological attributes by human beings, they ascribed such attributes not to the mind but to the brain or parts of the brain.

Neuroscientists assume that the brain has a wide range of cognitive, cogitative, perceptual and volitional powers. Francis Crick asserts:

What you see is not what is really there; it is what your brain believes is there.… Your brain makes the best interpretation it can according to its previous experience and the limited and ambiguous information provided by your eyes.… the brain combines the information provided by the many distinct features of the visual scene (aspects of shape, colour, movement, etc.) and settles on the most plausible interpretation of all these various clues taken together.… what the brain has to build up is a many-levelled interpretation of the visual scene.… [Filling-in] allows the brain to guess a complete picture from only partial information – a very useful ability.¹

So the brain has experiences, believes things, interprets clues on the basis of information made available to it, and makes guesses. Gerald Edelman holds that structures within the brain ‘categorize, discriminate, and recombine the various brain activities occurring in different kinds of global mappings’, and that the brain ‘recursively relates semantic to phonological sequences and then generates syntactic correspondences, not from preexisting rules, but by treating rules developing in memory as objects for conceptual manipulation’.² Accordingly, the brain categorizes; indeed, it ‘categorizes its own activities (particularly its perceptual categorizations)’, and conceptually manipulates rules. Colin Blakemore argues that

We seem driven to say that such neurons [as respond in a highly specific manner to, e.g., line orientation] have knowledge. They have intelligence, for they are able to estimate the probability of outside events – events that are important to the animal in question. And the brain gains its knowledge by a process analogous to the inductive reasoning of the classical scientific method. Neurons present arguments to the brain based on the specific features that they detect, arguments on which the brain constructs its hypothesis of perception.³

So the brain knows things, reasons inductively, and constructs hypotheses on the basis of arguments, and its constituent neurons are intelligent, can estimate probabilities, and present arguments. J. Z. Young shared much the same view. He argued that ‘we can regard all seeing as a continual search for the answers to questions posed by the brain. The signals from the retina constitute “messages” conveying these answers. The brain then uses this information to construct a suitable hypothesis about what is there.’⁴ Accordingly, the brain poses questions, searches for answers and constructs hypotheses. Antonio Damasio claimed that ‘our brains can often decide well, in seconds, or minutes, depending on the time frame we set as appropriate for the goal we want to achieve, and if they can do so, they must do the marvellous job with more than just pure reason’,⁵ and Benjamin Libet suggested that ‘the brain “decides” to initiate or, at least, to prepare to initiate the act before there is any reportable subjective awareness that such a decision has taken place’.⁶ So brains decide, or at least ‘decide’, and initiate voluntary action.

Psychologists concur. J. P. Frisby contended that ‘there must be a symbolic description in the brain of the outside world, a description cast in symbols which stand for the various aspects of the world of which sight makes us aware’.⁷ So there are symbols in the brain, and the brain uses, and presumably understands, symbols. Richard Gregory conceived of seeing as ‘probably the most sophisticated of all the brain’ s activities: calling upon its stores of memory data; requiring subtle classifications, comparisons and logical decisions for sensory data to become perception’.⁸ So the brain sees, makes classifications, comparisons, and decisions. And cognitive scientists think likewise. David Marr held that ‘our brains must somehow be capable of representing … information … The study of vision must therefore include … also an inquiry into the nature of the internal representations by which we capture this information and make it available as a basis for decisions about our thoughts and actions.’⁹ And Philip Johnson-Laird suggested that the brain ‘has access to a partial model of its own capabilities’, and has the ‘recursive machinery to embed models within models’; consciousness, he contended, ‘is the property of a class of parallel algorithms’.¹⁰