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 […]

April 23, 2021 – Patrick Bissett

Severe issues and solutions for the response inhibition data from the ABCD study and beyond   The stop-signal paradigm, a primary paradigm for measuring response inhibition, rests on the theoretical foundations of race models, which assumes independence between the overt go process and the inhibitory stop process. We show severe violations of independence across various […]

May 14, 2021 – Andrew Nam

What underlies rapid learning and out-of-distribution transfer in humans? Humans can sometimes learn a procedure from one or a small number of examples and then apply what they have learned to a much larger range of examples. Here, we explore this ability as it arises in learning a strategy from Sudoku. Participants naive to Sudoku […]

March 19, 2021 – Akshay Jagadeesh

Texture-like representations support object perception in dCNNs and the human brain.  Humans identify objects by the presence of complex visual features arranged in particular configurations. How does the visual system represent objects? In one widely held account (“holistic object” hypothesis), the ventral temporal cortex (VTC) explicitly represents objects as a whole, such that it is […]

March 12, 2021 – Faculty Lightning Talks

For the 2021 Admissions Weekend, FriSem will be hosting a panel of faculty speakers to present their ongoing research. Mike Frank: Towards predictive models of early language learningTobi Gerstenberg: Understanding “why”: The role of causality in cognitionNoah Goodman: Research in the Goodman LabKalanit Grill-Spector: Neural investigations of high-level vision in the Vision and Perception Neuroscience […]

March 5, 2021 – Tyler Bonnen

When the ventral visual stream is not enough: A deep learning account of medial temporal lobe involvement in perception Animals seamlessly integrate sensory activity with previously encountered, behaviorally relevant experience. Neuroanatomical structures within the medial temporal lobe, such as perirhinal cortex (PRC), are known to enable these memory-related behaviors. Yet there is an enduring debate […]

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