For those who might be interested, Milena Rabovsky, a Postdoctoral Researcher (Marie Curie fellow) at the Neurocomputation and Neuroimaging Unit of Freie Universität Berlin (Germany), will present on work she conducted with McClelland at Stanford during Amitai Shenhav’s lab meeting. Details of her talk are as follows:
The N400 component of the event-related brain potential has aroused much interest because it is thought to provide an online measure of meaning processing in the brain. Yet, the underlying process of meaning construction remains incompletely understood. In the talk, I will present a computationally explicit account of this process and the emerging representation of sentence meaning. We simulate N400 amplitudes as the change induced by an incoming stimulus in an implicit and probabilistic representation of meaning captured by the hidden unit activation pattern in a neural network model of sentence comprehension, and propose that the process underlying the N400 also drives implicit learning in the network. We account for a broad range of empirically observed N400 effects which have previously been difficult to capture within a single integrated framework (Rabovsky, Hansen, & McClelland, bioRxiv).
More information about the speaker can be found here.