May 28, 2021 – Drew Linsley

Uncovering the circuit mechanisms that shape contextual phenomena  Neurons in visual cortex are sensitive to context. Neural responses to stimuli presented within their classical receptive fields (CRFs) are modulated by the presence of other stimuli – in their CRF and their surrounding extra-classical receptive field (eCRF). While CRF and eCRF phenomena have been extensively studied […]

May 21, 2021 – Chris Honey

Timescales in Natural and Artificial Intelligence I study how people integrate information over time, as they seek to understand their environment and learn from it. Temporal integration is ubiquitous, because our world unfolds over time: hearing a fragment of sound, we perceive it as part of a mockingbird’s melody; reading one word, we understand it […]

May 7, 2021 – Kohitij Kar

Towards a neurally mechanistic understanding of visual cognition I am interested in developing a neurally mechanistic understanding of how primate brains represent the world through its visual system and how such representations enable a remarkable set of intelligent behaviors. In this talk, I will primarily highlight aspects of my current research that focuses on dissecting […]

April 30, 2021 – Jesse Mu

Towards more human-like language in multi-agent communication Recent research has trained artificial agents to communicate with each other via task-oriented language, for the dual aims of (1) improving agent collaboration and (2) studying language evolution in artificial settings.  This talk will describe two studies of the emergent linguistic phenomena in these multi-agent systems. First, pragmatics: I’ll […]

October 9, 2020 – Weidong Cai

Dynamic brain mechanism underlying cognitive control deficits in childhood ADHD ADHD is a prevalent neurodevelopment disorder affecting 5-10% of children worldwide. Children with ADHD have prominent deficits in attention and cognitive control. Cognitive control relies on dynamic interactions between large-scale brain networks, in particular the salience, frontoparietal and default mode networks. However, little is known […]

May 22, 2020 – Juan Eugenio Iglesias

Building a high-resolution computational atlas of the whole human brain with histology, deep learning, and Bayesian modeling: open-source implementation and application to neuroimaging studies Widespread neuroimaging packages like FreeSurfer, FSL or SPM enable morphometric, functional, and connectivity studies of the human brain in vivo using MRI. While these packages are frequently updated to stay near […]

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