cognition at the shore

ucsd la jolla shores

Once per quarter we meet to share a meal and hear informal talks about research from all research areas in the department.

Please join us for our next Cognition at the Shore evening seminar on Thursday, May 11 (week 6) at Martin Johnson House at Scripps from 6-9pm. Dinner at 6pm; Talks at 6:30pm.

Steven Dow: Advancing Systems for  Community-Driven Creativity
Sean Trott: In (cautious) defense of LLM-ology
James Nieh: This Hive's Got Talent: Honey bees use social learning and, potentially, cultural transmission to learn how to waggle dance from seasoned dancers.
Pamela Riviere: Inhibitory Organization of Olfactory & Visuospatial Inputs During Associative Memory Processing
Homero Esmeraldo: Fasting and Chemotherapy

Special thanks are offered to the UCSD Department of Cognitive Science for sponsorship, and Graduate Representative Quirine Van-engen for coordinating the event.

Winter 2023

Garrison (Gary) Cottrell: The Model 2.0: An Anatomically-inspired Model of the Primate Visual System

Sana Ali: Now I Know My ABCD: A Global Resource Hub for Researchers using the ABCD Study

Spring 2020

Eran Mukamel: How many cell types are in the brain?

Shuai Tang: Distributed Representations & Symbolic Computing

Arthur Semenuks: Linguistic diversity: variation, constrains and importance

Federico Rossano: Social cognition in young children: an urban vs. rural comparison

Winter 2019

Virginia de Sa: Explorations of EEG data in recognition memory experiments
Tricia Ngoon & Ailie Fraser: Replay: Contextually Presenting Learning Videos Across Applications
Carson Miller Rigoli: Cultural Evolution for Language and Music: Benefits and Hurdles
Ben Bergen: The Emergence of a New System of Linguistic Metaphors for Time

Fall 2018

Scott Cole: A quantitative analysis of San Diego's burritos"
Alexander Johnson: Place versus places: The subiculum spatial codes for structural similarities between paths
Weiqi Zhao: Understanding the influence of brain phenotypes on reading variability
Robert Loughnan: Predicting post-stroke language recovery from clinical CT scans
Tom Donoghue: Parameterizing Neural Power Spectra