Like economics, the history of the neuroscientific study of behavior also reflects an interaction between two approaches – in this case, a neurological approach and a physiological approach. In the standard neurological approach of the last century, human patients or experimental animals with brain lesions were studied in a range of behavioral tasks. The behavioral deficits of the subjects were then correlated with their neurological injuries and the correlation used to infer function. The classic example of this is probably the work of the British neurologist David Ferrier (1878) , who demonstrated that destruction of the precentral gyrus of the cortex led to quite precise deficits in movement generation. What marks many of these studies during the classical period in neurology is that they often focused on damage to either sensory systems or movement control systems. The reason for this should be obvious; the sensory stimuli presented to a subject are easy to control and quantify – they are observables in the economic sense of the word. The same is true for movements that we instruct a subject to produce. Movements are directly observable and easily quantified. In contrast, mental state is much more elusive. Although there has for centuries been clear evidence that neurological damage influences mental state, relating damage to mental state is difficult specifically because mental state is not directly observable. Indeed, relating mental state to neurological damage requires some kind of theory (often a global one), and it was this theory that was largely absent during the classical period in neurology.
In contrast to the neurological approach, the physiological approach to the study of the brain involves correlating direct measurements of biological state, such as the firing of action potentials in neurons, changes in blood flow, and changes in neurotransmitters, with events in the outside world. During the classical period this more precise set of methodological tools was extremely powerful for elucidating basic features of nervous function, but was extremely limited in its applicability to complex mental states.
Initially this limitation arose from a methodological constraint. Physiological measurements are invasive and often destructive. This limits their use in animals and, in the classical period, in anesthetized animals. The result was an almost complete restriction of physiological approaches during the classical period to the study of sensory encoding in the nervous system. A number of critical advances during the period from the 1960s to the 1980s, however, led to both a broadening of these approaches and, later, a fusion of these two approaches. Within the domain of neurology, models from psychology began to be used to understand the relationship between brain and behavior. Although the classes of models that were explored were highly heterogeneous and often not very quantitative, these early steps made it possible to study mental state, at least in a limited way. Within the physiological tradition, technical advances that led to the development of humane methods made it possible to make measurements in awake, behaving animals, also opening the way to the study of mental state, this time in animals. What followed was a period in which a heterogeneous group of scholars began to develop models of mental processes and then correlate intermediate variables in these models with either physiological measurements or lesion-induced deficits. However, these scholars faced two very significant problems. First, there was a surplus of models.
Dozens of related models could often account for the same phenomena, and it was hard to discriminate between these models. Second, there was a paucity of data. Physiological experiments are notoriously difficult and slow, and although they yield precise data they do so at an agonizingly slow rate. Neurological experiments (at least in humans) move more quickly but are less precise, because the researcher does not have control over the placement of lesions.
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