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Methodological problems of neuroscience

In David Rose & Vernon G. Dobson (eds.), Models of the Visual Cortex. New York: Wiley (1985)

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  1. What’s Wrong With Science? Towards a People’s Rational Science of Delight and Compassion, Second Edition.Nicholas Maxwell - 2009 - London: Pentire Press.
    What ought to be the aims of science? How can science best serve humanity? What would an ideal science be like, a science that is sensitively and humanely responsive to the needs, problems and aspirations of people? How ought the institutional enterprise of science to be related to the rest of society? What ought to be the relationship between science and art, thought and feeling, reason and desire, mind and heart? Should the social sciences model themselves on the natural sciences: (...)
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  • (1 other version)Analyzing vision at the complexity level.John K. Tsotsos - 1990 - Behavioral and Brain Sciences 13 (3):423-445.
    The general problem of visual search can be shown to be computationally intractable in a formal, complexity-theoretic sense, yet visual search is extensively involved in everyday perception, and biological systems manage to perform it remarkably well. Complexity level analysis may resolve this contradiction. Visual search can be reshaped into tractability through approximations and by optimizing the resources devoted to visual processing. Architectural constraints can be derived using the minimum cost principle to rule out a large class of potential solutions. The (...)
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  • Three philosophical problems about consciousness and their possible resolution.Nicholas Maxwell - 2011 - Open Journal of Philosophy 1 (1):1.
    Three big philosophical problems about consciousness are: Why does it exist? How do we explain and understand it? How can we explain brain-consciousness correlations? If functionalism were true, all three problems would be solved. But it is false, and that means all three problems remain unsolved (in that there is no other obvious candidate for a solution). Here, it is argued that the first problem cannot have a solution; this is inherent in the nature of explanation. The second problem is (...)
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  • Complexity, guided search, and the data.Jeremy M. Wolfe - 1990 - Behavioral and Brain Sciences 13 (3):457-458.
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  • Analyzing vision at the complexity level: Misplaced complexity?Lester E. Krueger & Chiou-Yueh Tsav - 1990 - Behavioral and Brain Sciences 13 (3):449-450.
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  • On brains and models.William R. Uttal - 1990 - Behavioral and Brain Sciences 13 (3):456-457.
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  • How can life of value best flourish in the real world?Nicholas Maxwell - 2009 - In Leemon McHenry (ed.), Science and the Pursuit of Wisdom: Studies in the Philosophy of Nicholas Maxwell. Frankfurt, Germany: Ontos Verlag.
    The Urgent Need for an Intellectual Revolution For much of my working life (from 1972 onwards) I have argued, in and out of print, that we need to bring about a revolution in the aims and methods of science – and of academic inquiry more generally. Instead of giving priority to the search for knowledge, academia needs to devote itself to seeking and promoting wisdom by rational means, wisdom being the capacity to realize what is of value in life, for (...)
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  • How Can Life of Value Best Flourish in the Real World?Nicholas Maxwell (ed.) - 2009
    1. The Urgent Need for an Intellectual Revolution 2. Two Fundamental Problems 3. Autobiographical Remarks 4. What Kind of Inquiry Can Best Help Life of Value to Flourish? 5. How is Life of Value Possible in the Physical Universe? 6. Connections between the Two Problems .
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  • Task-dependent constraints on perceptual architectures.Roy Eagleson - 1990 - Behavioral and Brain Sciences 13 (3):447-448.
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  • The theory and practice of attention.Kyle R. Cave - 1990 - Behavioral and Brain Sciences 13 (3):445-446.
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  • Some important constraints on complexity.Leonard Uhr - 1990 - Behavioral and Brain Sciences 13 (3):455-456.
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  • Computation, complexity, and systems in nature.Bradley W. Dickinson - 1990 - Behavioral and Brain Sciences 13 (3):447-447.
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  • Adaptation and attention.Steven W. Zucker - 1990 - Behavioral and Brain Sciences 13 (3):458-458.
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  • A little complexity analysis goes a long way.John K. Tsotsos - 1990 - Behavioral and Brain Sciences 13 (3):458-469.
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  • Search and the detection and integration of features.Anne Treisman - 1990 - Behavioral and Brain Sciences 13 (3):454-455.
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  • Algorithmic complexity analysis does not apply to behaving organisms.Gary W. Strong - 1990 - Behavioral and Brain Sciences 13 (3):453-454.
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  • Is it really that complex? After all, there are no green elephants.Ralph M. Siegel - 1990 - Behavioral and Brain Sciences 13 (3):453-453.
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  • Support for an intermediate pictorial representation.Michael Mohnhaupt & Bernd Neumann - 1990 - Behavioral and Brain Sciences 13 (3):452-453.
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  • Probability theory as an alternative to complexity.David G. Lowe - 1990 - Behavioral and Brain Sciences 13 (3):451-452.
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  • Complexity is complicated.Paul R. Kube - 1990 - Behavioral and Brain Sciences 13 (3):450-451.
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  • Is unbounded visual search intractable?Andrew Heathcote & D. J. K. Mewhort - 1990 - Behavioral and Brain Sciences 13 (3):449-449.
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  • What are the insights gained train the complexity analysis?Jan-Olof Eklundh - 1990 - Behavioral and Brain Sciences 13 (3):448-449.
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  • Complexity at the neuronal level.Robert Desimone - 1990 - Behavioral and Brain Sciences 13 (3):446-446.
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