Martin and Deutscher’s causal theory of remembering holds that a memory trace serves as a necessary causal link between any genuine episode of remembering and the event it enables one to recall. In recent years, the causal theory has come under fire from researchers across philosophy and cognitive science, who argue that results from the scientific study of memory are incompatible with the kinds of memory traces that Martin and Deutscher hold essential to remembering. Of special note, these critics observe, (...) is that a single memory trace can be shaped by multiple past experiences. This appears to prevent traces from underwriting Martin and Deutscher’s distinction between remembering an event and merely forming an accurate representation of it. This paper accepts such criticisms of the standard causal theory and, through considering the phenomenon forgetting through repetition, raises several others. A substantially revised causal theory is then developed, compatible with the thesis that individual memory traces are shaped by multiple past experiences. The key strategy is to conceive of episodic remembering not as the simple retrieval and projection of a static memory trace, but as a complex quasi-inferential process that makes use of multiple forms of information and cues—“prop-like” memory traces included—in generating the experience known as episodic remembering. When remembering is understood as a multi-componential process, there are a variety of ways in which a representation of the past may be appropriately causally dependent upon a prior experience of the event remembered. (shrink)

Functional decomposition is an important goal in the life sciences, and is central to mechanistic explanation and explanatory reduction. A growing literature in philosophy of science, however, has challenged decomposition-based notions of explanation. ‘Holists’ posit that complex systems exhibit context-sensitivity, dynamic interaction, and network dependence, and that these properties undermine decomposition. They then infer from the failure of decomposition to the failure of mechanistic explanation and reduction. I argue that complexity, so construed, is only incompatible with one notion of decomposition, (...) which I call ‘atomism’, and not with decomposition writ large. Atomism posits that function ascriptions must be made to parts with minimal reference to the surrounding system. Complexity does indeed falsify atomism, but I contend that there is a weaker, ‘contextualist’ notion of decomposition that is fully compatible with the properties that holists cite. Contextualism suggests that the function of parts can shift with external context, and that interactions with other parts might help determine their context-appropriate functions. This still admits of functional decomposition within a given context. I will give examples based on the notion of oscillatory multiplexing in systems neuroscience. If contextualism is feasible, then holist inferences are faulty—one cannot infer from the presence of complexity to the failure of decomposition, mechanism, and reductionism. (shrink)

The notion of representation in neuroscience has largely been predicated on localizing the components of computational processes that explain cognitive function. On this view, which I call “algorithmic homuncularism,” individual, spatially and temporally distinct parts of the brain serve as vehicles for distinct contents, and the causal relationships between them implement the transformations specified by an algorithm. This view has a widespread influence in philosophy and cognitive neuroscience, and has recently been ably articulated and defended by Shea. Still, I am (...) skeptical about algorithmic homuncularism, and I argue against it by focusing on recent methods for complex data analysis in systems neuroscience. I claim that analyses such as principle components analysis and linear discriminant analysis prevent individuating vehicles as algorithmic homuncularism recommends. Rather, each individual part contributes to a global state space, trajectories of which vary with important task parameters. I argue that, while homuncularism is false, this view still supports a kind of “vehicle realism,” and I apply this view to debates about the explanatory role of representation. (shrink)