Spotlight image
1 2 3 4 5 6 7 8 9 10 11 12 13 14 Hide

Metaphors for grad school

The broad nature of Cognitive Science means that the research in our department is incredibly diverse. (more)



Bregman, M. R., & Creel, S. C. (2014). Gradient language dominance affects talker learning. Cognition, 130(1), 85–95. doi:10.1016/j.cognition.2013.09.010
Traditional conceptions of spoken language assume that speech recognition and talker identification are computed separately. Neuropsychological and neuroimaging studies imply some separation between the two faculties, but recent perceptual studies suggest better talker recognition in familiar languages than unfamiliar languages. A familiar-language benefit in talker recognition potentially implies strong ties between the two domains. However, little is known about the nature of this language familiarity effect. The current study investigated the relationship between speech and talker processing by assessing bilingual and monolingual listeners’ ability to learn voices as a function of language familiarity and age of acquisition. Two effects emerged. First, bilinguals learned to recognize talkers in their first language (Korean) more rapidly than they learned to recognize talkers in their second language (English), while English-speaking participants showed the opposite pattern (learning English talkers faster than Korean talkers). Second, bilinguals’ learning rate for talkers in their second language (English) correlated with age of English acquisition. Taken together, these results suggest that language background materially affects talker encoding, implying a tight relationship between speech and talker representations.
Borovsky, A., & Creel, S. C. (2014). Children and adults integrate talker and verb information in online processing. Developmental Psychology, 50(5), 1600–13. doi:10.1037/a0035591
Children seem able to efficiently interpret a variety of linguistic cues during speech comprehension, yet have difficulty interpreting sources of nonlinguistic and paralinguistic information that accompany speech. The current study asked whether (paralinguistic) voice-activated role knowledge is rapidly interpreted in coordination with a linguistic cue (a sentential action) during speech comprehension in an eye-tracked sentence comprehension task with children (ages 3–10 years) and college-aged adults. Participants were initially familiarized with 2 talkers who identified their respective roles (e.g., PRINCESS and PIRATE) before hearing a previously introduced talker name an action and object (“I want to hold the sword,” in the pirate’s voice). As the sentence was spoken, eye movements were recorded to 4 objects that varied in relationship to the sentential talker and action (target: SWORD, talker-related: SHIP, action-related: WAND, and unrelated: CARRIAGE). The task was to select the named image. Even young child listeners rapidly combined inferences about talker identity with the action, allowing them to fixate on the target before it was mentioned, although there were developmental and vocabulary differences on this task. Results suggest that children, like adults, store real-world knowledge of a talker’s role and actively use this information to interpret speech.
Wang B., Mezlini A. M., Demir F., Fiume M., Tu Z., Brudno M., Haibe-Kains B., Goldenberg A. (2014). Similarity Network Fusion for Aggregating Data Types on a Genomic Scale. Nature Methods, Jan. 26.
recent technologies have made it cost-effective to collect diverse types of genome-wide data. computational methods are needed to combine these data to create a comprehensive view of a given disease or a biological process. similarity network fusion (snF) solves this problem by constructing networks of samples (e.g., patients) for each available data type and then efficiently fusing these into one network that represents the full spectrum of underlying data. For example, to create a comprehensive view of a disease given a cohort of patients, snF computes and fuses patient similarity networks obtained from each of their data types separately, taking advantage of the complementarity in the data. We used snF to combine mrnA expression, dnA methylation and micrornA (mirnA) expression data for five cancer data sets. snF substantially outperforms single data type analysis and established integrative approaches when identifying cancer subtypes and is effective for predicting survival.

Featured Classes
Fall 2014:
  • COGS9: Introduction to Data Science
    Concepts of data and its role in science will be introduced, as well as the ideas behind data-mining, text-mining, machine learning, and graph theory and how scientists and companies are leveraging those methods to uncover new insights into human cognition.
  • COGS160: Cognitive Ethnomusicology
    Music is ubiquitously present in human culture. As much as it is ubiquitous, music is diverse in both form and usage. From sacred ritual to war, music is a component of many human activities. Free from the semantic necessities of language, music is constrained only by the aesthetics of those making it. Ethnomusicology seeks to understand music in its cultural context--how and why people make the specific types of music they do. Cognitive ethnomusicology takes a broad approach to the study of musical culture, perception, and processing. The course will explore fundamental components of musical behavior, such as synchronized rhythm or the use of visual symbols to enhance recall of musical ideas, while also exploring specific genres or styles of music that have unique characteristics, such as the timbre-melodies of Tuvan vocal music or the complex rhythmic patterns of Carnatic Mrdangam playing.
  • COGS219: Prog. for Behavioral Sci.
    Students learn how to use Matlab and the Psychophysics toolbox for experimental research in cognitive science, neuroscience, psychology, linguistics and related fields… Topics include stimulus presentation, response collection, analyzing and displaying data. Programming is an applied skill; like playing an instrument or a sport, it needs to be practiced. COGS219 provides information, support, motivation, structure, and "coaching”. Students acquire skills they can apply at graduate school and beyond, feel more confident in their programming and research abilities, and develop code that can be adapted for research projects. For cognitive science students, 219 counts as a methods course; with professor approval, it can count as behavioral or computational issues course.
  • COGS160: Interaction Design Research
    Prepares students to conduct original HCI research by reading and discussing seminal and cutting-edge research papers. Topics include design, social software, input techniques, mobile, and ubiquitous computing. Student pairs perform a quarter-long mini research project that leverages campus research efforts. TuTh 3:30pm-4:50pm in CSE 2154. Prerequisites: (Cogs14a or CSE20) and (an A- or higher in Cogs120 or Cogs102C). Please contact Thanh Maxwell at tmaxwell@ucsd.edu for departmental approval.

Research Opportunities (199s)
  • Sound Recognition in Language
    The Language Acquisition & Sound Research lab is seeking enthusiastic, motivated, and reliable undergraduate research assistants to assist with a study. The study investigates how different people interpret sounds when processing language. Successful applicants will receive course credit and gain valuable experience with language research! Interested students should contact Prof. ...
    (click for details)
  • Language Development and Remediation in Children
    We are evaluating two interventions for dyslexia that involve training the temporal dynamics of the visual system (magnocellular pathway) and the auditory system, and whether the two interventions together have super-additive effects. As a Research Assistant, you would be traveling to one or two of five participating local elementary schools ...
    (click for details)
  • Dr. Edward Vul's Cognition and Inference Lab
    We study human cognition and decision making: how do people combine sparse information with their prior knowledge about the world to make decisions? And how do limitations of memory and attention influence this process? Different projects investigate these issues in different domains; examples include: visual attention, consumer behavior, intuitive reasoning, ...
    (click for details)
  • Entrepreneur Connect
    Help shape the future of entrepreneurship at UCSD. What is E-Connect? Part LinkedIn, part Kickstarter, UCSD Entrepreneur Connect (E-Connect) is the future for entrepreneurialminded students. Meet, share ideas, form teams, create - this is the aim of E-Connect. E-Connect is an idea. We need creative individuals looking to broaden their ...
    (click for details)
  • Brain Mechanisms Meditating Attentional Sets and Navigational Decisions
    Movement through the environment demands constant change in how we take in information (our attentional set) and how we use that information to make decisions. The Nitz laboratory studies this dynamic process at its core, by directly examining the neural substrates of attention and spatial cognition through multiple single neuron ...
    (click for details)
  • Brain Development and Cognitive Function in Children
    The Center for Human Development (CHD) at UCSD conducts research projects focusing on factors that influence developing minds and personalities. For example, researchers at the CHD ask questions like how and why do we become individuals? What role is played by our experiences? By our genes? How does developing behavior ...
    (click for details)

Recent News & Links (see all)


Jamie Alexandre is awarded a Chancellor's Dissertation Medal - 2014

The purpose of the Chancellor's Dissertation Medal is to recognize outstanding PhD research in one of six divisional 
areas.


Andrea Chiba, one of four UCSD Faculty to receive "Early Concept" grants from Obama's BRAIN Initiative

Andrea Chiba, associate professor of cognitive science, for “Socially Situated Neuroscience: Creating a Suite of Tools for Studying Sociality and Interoception.” “The “interoceptive” system is said to be a neural system that is critical to our physiological self-awareness and the feelings we share with others,” said Chiba.“This project aims to co-develop light, wireless, flexible recording sensors, an iRat (a robotic ‘animat’ with rat-like social behavior) and a set of experiments to interrogate the ‘interoceptive system’ by simultaneously examining physiological measures, neural activity and complex social behavior.” Primary researchers on the grant, in addition to Chiba, are Laleh Quinn, Todd Coleman and Marcelo Aguilar-Rivera of UC San Diego and Janet Wiles of the University of Queensland Australia.


UCSD Cognitive Science graduate receives modeling award at the 36th Annual Meeting of the Cognitive Science Society

Former graduate student Ben Cipollini received a modeling award and $1000 prize at the 36th annual meeting of the Cognitive Science Society, for his work with Prof. Gary Cottrell on lateralization in visual processing.


Department Events (see all)

Sebastian Thrun (Design at Large talk)

Educating Millions Online - A Revolution?

Sebastian Thrun, CEO of Udacity, will tell his story of accidentally creating an early MOOC, all the way to a mid-size company offering alternatives to college degrees to millions of online learners. Udacity focuses on education for jobs in the tech industry. Its content is built by leading Silicon Valley companies, like Cloudera, Facebook, and Google. Thrun will discuss a new style of pedagogy for learning on mobile devices, online services, and new ...
(click for details)

Wed, Oct 1st, 4:00pm-5:00pm (Atkinson Hall Auditorium)
(1 week, 3 days from now)


Campus-wide Events (see all)

Garrison Cottrell (Dart NeuroScience & TDLC talk)

A single model explains both visual and auditory precortical coding
Precortical neural systems encode information collected by the senses, but the driving principles of the encoding used have remained a subject of debate. We present a model of retinal coding that is based on three constraints: information preservation, minimization of the neural wiring, and response equalization. The resulting novel version of sparse principal components analysis successfully captures a number of known characteristics of the retinal coding system, such as center-surround ...
(click for details)

Wed, Sep 24th, 3:00pm-4:00pm (Sanford Consortium - Duane J. Roth Auditorium)
(3 days, 15 hours from now)