Eavan Boland and Paula Meehan : Irish voices of the past

History, myth, exile, identity—for generations those have been the themes of Irish poetry, an Irish poetry written almost exclusively by male poets. As women moved in to claim a voice the themes were often the same, though reworked in essential ways. The key to that reworking, the pivot for an Irish women’s poetry, was the development of a female poetic identity. Eavan Boland led the way. In particular, Boland’s struggles as the first prominent female poet of modern Irish Literature emphasize a search for self-identity. At the forefront of this movement and a precedent for those around her, she establishes themes that pave the way for Irish women writers. With Boland, comes a hopeful recovery of the contemporary female literary experience, with the perspective and approach towards self-identity endlessly evolving over time with each new poet. Inspired by Boland, but a generation younger, Paula Meehan explores similar themes of female constraint, yet raises her own distinctive concerns, in particular the division of male and female roles and generational conflict, exploring what is real and ordinary.

Studying conscious and unconscious vision with functional Magnetic Resonance Imaging : the BOLD promise

Waking up from a dreamless sleep, I open my eyes, recognize my wife’s face and am filled with joy. In this thesis, I used functional Magnetic Resonance Imaging (fMRI) to gain insights into the mechanisms involved in this seemingly simple daily occurrence, which poses at least three great challenges to neuroscience: how does conscious experience arise from the activity of the brain? How does the brain process visual input to the point of recognizing individual faces? How does the brain store semantic knowledge about people that we know? To start tackling the first question, I studied the neural correlates of unconscious processing of invisible faces. I was unable to image significant activations related to the processing of completely invisible faces, despite existing reports in the literature. I thus moved on to the next question and studied how recognition of a familiar person was achieved in the brain; I focused on finding invariant representations of person identity – representations that would be activated any time we think of a familiar person, read their name, see their picture, hear them talk, etc. There again, I could not find significant evidence for such representations with fMRI, even in regions where they had previously been found with single unit recordings in human patients (the Jennifer Aniston neurons). Faced with these null outcomes, the scope of my investigations eventually turned back towards the technique that I had been using, fMRI, and the recently praised analytical tools that I had been trusting, Multivariate Pattern Analysis. After a mostly disappointing attempt at replicating a strong single unit finding of a categorical response to animals in the right human amygdala with fMRI, I put fMRI decoding to an ultimate test with a unique dataset acquired in the macaque monkey. There I showed a dissociation between the ability of fMRI to pick up face viewpoint information and its inability to pick up face identity information, which I mostly traced back to the poor clustering of identity selective units. Though fMRI decoding is a powerful new analytical tool, it does not rid fMRI of its inherent limitations as a hemodynamics-based measure.