Philosophers of neuroscience critically examine aspects of neuroscience
as a science. They work to understand its goals, methods, techniques and
theoretical commitments, to regiment the inferences used in constructing
theories, to understand the assumptions, limitations and pitfalls of particular
investigative practices, and to promote clarity in the formation and use
of theoretical concepts in explaining and exploring the mind-brain.
Issues in the philosophy of neuroscience include:
- Explanation:
What are the phenomena to be explained in neuroscience? What constitutes
an adequate neuroscientific explanation? Is it different from the kinds
of explanations accepted in physics, chemistry, or elsewhere in biology?
What is the difference, for example, between explaining the behavior
of the brain in terms of "dynamical systems" and in understanding
it by localizing functions and describing neural mechanisms?
- Theory
Structure and Theory Building: What is/are the structure(s)
of neuroscientific theories? How are neuroscientific theories represented?
How does the structure and representation of a theory guide scientific
practices, e.g., experimental design and theory building? What sorts
of strategies are likely to be fruitful in building neuroscientific
theories? Should one expect or work toward a unified theory of neuroscience?
- Levels:
What is meant by the suggestion that theories in neuroscience span multiple
levels of organization? Are these levels of size, theory, explanation,
organization, or science? What is the relationship between these different
kinds of levels? What does it mean to say that lower-level mechanisms
"implement," "realize," or "provide the substrate
for" higher level phenomena? If all higher-level phenomena are
realized in lower-level mechanisms, does this threaten the existence
or causal efficacy of higher-level phenomena?
- Integrating
Fields:
How are the results from different subfields of neuroscience integrated
together into a single theoretical framework? Is there a privileged
field in neuroscience (e.g., molecular biology or computational neuroscience)
that is most likely to construct the deepest or most explanatorily fruitful
theories? Can or ought one study higher levels of organization in the
central nervous system independently of work done by fields attending
to other levels of organization?
- Reduction
and Emergence: What would be involved in reducing some mental
phenomenon to, e.g., neurophysiological or molecular phenomena? Is this
the same thing that one means when one speaks of reducing, e.g. lightening
to electrical discharge or gasses to populations of molecules? Does
the idea of emergence (as popularized by, e.g., Roger Sperry) make any
sense? Is emergence consistent with reduction? How is reduction related
to mechanistic explanation? Are higher level phenomena multiply realized
by lower level realizers? What are the implications of multiple realization
for different formulations of reductionism?
- Laws,
Causality, and Mechanisms: Are there laws of neuroscience?
If so, are they interestingly different from the laws found in physics
or elsewhere in biology? What is a neural mechanism? How is a mechanistic
understanding different from, e.g., dynamical systems? To what extent
can the brain be understood mechanistically? What are the reliable strategies
or methods for discovering the causal structure of the nervous system?
Is it explanatory to identify "neural correlates" of psychological
functions? What more is required beyond correlation?
- Localization
of Function: Given individual variability and developmental
plasticity, what does it mean to say that a given function localizes
to a particular region? What is a function? What is a location? Can
parts of the brain be defined without reference to the functions that
they perform? Are the functions of the brain multiply realized in the
wet-ware of the nervous system? Should functions be understood as adaptations,
or as something else (e.g., as merely a capacity in a system)? Is localization
an unjustified dogma of neuroscience, built into its techniques and
practices, or is there good evidence that cognitive functions can be
localized?
- Computation
and Simulation: To what extent can computer simulations play
the role of experimental systems in our investigation of the brain?
How can simulations teach us something new about the brain and its function?
What is the difference between simulation and explanation? To what extent
must useful simulations be biologically plausible?
- Taxonomy
and Concept Formation: How are psychological functions to be
individuated? Does the existence of two distinct and dissociable mechanisms
force the conclusion that there are two distinct functions being performed?
What is the inferential relationship between performance in an experimental
task (e.g., sorting cards or rhyming nonsense syllables) and component
psychological functions? By virtue of what criteria should one distinguish
different psychiatric disorders from one another?
- Evidence
and Experimentation: What types of evidence are relevant to
evaluating theories in neuroscience? What are the assumptions involved
in the use of a given technique (e.g., lesion methods or imaging studies)?
What are the strengths and weaknesses of different techniques? How can
the results from one technique influence the interpretation of results
collected with others? How are new experimental techniques introduced
and justified? Under what conditions can introspection legitimately
be used as evidence? To what extent (and under what conditions) can
reliable inferences be drawn about brain structure based on evidence
from single cases? To what extent (and under what conditions) can reliable
data be generated by averaging across different subjects? What is an
acceptable signal-to-noise ratio in PET and MRI studies? How ought one
to proceed with the meta-analysis of different PET and MRI studies?
- Animal
Experimentation and Experimental Models: How does one infer
from the psychological and physiological traits in animal models to
the psychological and physiological traits in other species? What makes
for a good experimental model? To what extent do animal breeding and
cloning practices affect the ability to draw inferences based on experimental
organisms? How can results obtained in isolated experimental preparations
(individual receptors or neurons, hippocampal slices, or decerebrate
organisms) be applied back to the intact systems from which they were
drawn? How are new experimental models introduced and justified? And
how do they change over time in the course of a research program?
- Theoretical
Neuroscience: Is the brain a computer? Does it process information
or represent features of the world? Is such description mere metaphor,
or does it make a substantive empirical claim about the brain's organization?
What evidence can help to assess that claim? How are we to make sense
of reference to "information," "representation,"
and "coding" in neuroscientific theories? To what extent must
the explanation of mental phenomena be located within the organism?
Must explanations necessarily appeal to features of an organism's natural
and social environment?
- Philosophical
Psychopathology: Given the putative explanatory and therapeutic
successes of the neurosciences, what is mental about mental disorder?
And in what sense are people with mental disorders disordered? Can natural
selection help to distinguish mental disorder from proper mental function?
What criteria and principles should guide taxonomic classification in
works such as the Diagnostic and Statistical Manual (DSM)? To what extent
are specific mental disorders natural kinds?
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