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This is the official website of my Marie Skłodowska-Curie project (Acronym: TOPEX, GA n°: 703662) which was hosted at the IHPST (CNRS-Sorbonne Pantheon Paris 1) in France, from 01 June 2016-31 May 2018. This was the first-ever  European project at this institute. 
For current information about my work please visit my personal website.



Philosophical Foundations of Topological Explanations

Call: H2020-MSCA-IF-2015
Funding scheme: Standard EF
Proposal number: 703662
Proposal acronym: TOPEX
Duration (months): 24
Proposal title: Philosophical Foundations of Topological Explanations
Total cost: 185,076 €

This project develops a philosophical account of a new kind of explanations that recently became prominent in neuroscience. On this approach, systems such as brain are represented as networks of their elements and their interactions. The explanation is then given in terms of features of connectedness (that is why it is called topological) of a network representing a system.

    The aim of this project is to develop a comprehensive account of topological explanations and to systematically introduce it to the mainstream debates in philosophy of mind and philosophy of neuroscience. Doing so will allow us to come in a position to solve a set of some of the most vexing problems in these two major areas of philosophy, such as transparency of explanations in the philosophy of mind and universality of explanations in the philosophy of neuroscience.

    The novelty, originality, and timeliness of my project is that it provides a new and compelling way of looking at how a major set of problems in the philosophy of mind and philosophy of neuroscience is both formulated and addressed in the light of the new way of doing science. This will be accomplished by developing a systematic framework for understanding how target systems and phenomena are represented in topological explanations (models), what are the constraints on what is represented (explanatory limits), and by showing how exactly topological explanations provide a better basis for the transparency and universality of explanations.