Cognition, Brain, & Behavior Research Seminar
(Psychology 3340. Research Seminar in Cognition, Brain, and Behavior)
 
Fall 2004  
09/23 Fiery Cushman & Liane Young (Harvard Psychology)
Intuition and Moral Judgment [more...]  
09/30 Tom Griffiths (Stanford / MIT)
Theory-Based Causal Induction [more...]
10/07 Andrew Shtulman (Harvard Psychology)
Differences in the Conceptualization of Believable and Unbelievable Supernatural Entities [more...]
10/14 Irene Pepperberg (Radcliffe Fellow)
Cognitive and Communicative Abilities of Grey Parrots [more...]  
10/21 Rebecca Saxe (Harvard Fellow)
Infants' Concept of an Agent: Blurring the Boundaries of Domains [more...]
10/28 Aude Oliva (MIT Brain & Cognitive Sciences)
The Representation of Visual Complexity [more...]
11/04 Elizabeth Kensinger (Harvard Psychology)
Neuroimaging Accurate and Distorted Memories: Effects of Emotional Content [more...]
11/11   Veteran's Day
11/18 Joan Chiao (Harvard Psychology)
Seeing Race, Hearing Race: Neural and Behavioral Investigations into the Role of Race in Social Perception [more...]
11/25 Thanksgiving Day   
12/02 Yi Ting Huang (Harvard Psychology)
What Exactly Do Numbers Mean? [more...]  
12/09 Niels Janssen (Harvard Psychology)
The Interplay of Word Positional and Word Form Processes During Language Production [more...]  
12/16 Alison Harris (Harvard Psychology)
How Selective Is the "Face-Selective" M170 Response? Evidence from Developmental Prosopagnosia and Double-Pulse Adaptation [more...]
 

Thursdays at 12:00-1:30pm
William James Hall 765

Interested parties from outside the
Harvard community are welcome to attend.

E-mail Laura to subscribe to weekly e-mail reminders

Links:
Past speakers
Social Lunch
Social and Affective Neuroscience Series
Psychology Department

Questions?
Contact:
Laura Gibson (gibson@wjh)


Spring 2005
2/03/05 Joy Geren (Harvard Psychology)                          
2/10/05 Steve Franconeri (University of British Columbia)
2/17/05 Rachel Garoff (Harvard Psychology)
2/24/05 Won Mok Shim (Harvard Psychology)
3/03/05 Helen Tager-Flusberg (Boston University)
3/10/05 Gary Marcus (NYU)
3/17/05 Dave Barner (Harvard Psychology)
3/24/05 Mathieu LeCorre (Harvard Psychology)
3/31/05 Spring Break
4/07/05 Jodi Davenport (MIT Brain & Cognitive Sciences)
4/14/05 Josh McDermott (MIT Brain & Cognitive Sciences)
4/21/05 Anna Shusterman (Harvard Psychology)
4/28/05 Richard Russell (MIT Brain & Cognitive Sciences)
5/05/05 Peter Gordon (Columbia University)
Fiery Cushman & Liane Young
Intuition and Moral Judgment


How do we determine what is right and what is wrong? Many philosophers and social scientists think that moral judgments are derived from conscious consideration of moral principles. This perspective predicts that individuals will be able to provide consistent principles supporting their moral judgments, and that cultural factors influencing the adoption of moral principles should likewise influence the judgments themselves. We challenge this view with data from a web-based study in which subjects were often unable to support moral judgments with consistent principles, and in which factors like exposure to moral philosophy had small or inconsistent effects on moral judgment. We argue that at least some aspect of moral judgment is an intuitive process grounded in the unconscious analysis of actions and events. We also discuss research with cognitively impaired populations that can illuminate the mechanisms underlying intuitive moral judgment.
Tom Griffiths
Theory-Based Causal Induction


The ability to infer causal relationships from data is central to the growth of both scientific and everyday knowledge. Traditional explanations of human causal induction have tended to emphasize either domain-general covariation-based learning, or domain-specific knowledge about causal mechanisms. However, it is clear that both of these factors interact in most interesting cases of causal induction - the key questions are what prior knowledge is used, and how it is combined with statistical inference. I will present a computational framework that addresses these two questions, formulating the problem of causal induction as a Bayesian decision among a set of causal models generated by a domain theory. I will apply this framework to two phenomena of causal induction - inferring causal relationships from contingency data and learning the structure of physical systems.
Andrew Shtulman
Differences in the Conceptualization of Believable and Unbelievable Supernatural Entities


Across time periods and cultures, human beings tend to depict the supernatural entities in which they believe (e.g., gods, angels, demons) as persons with special properties (e.g., the ability to fly, the ability to evade death). Interestingly, human beings also tend to depict the supernatural entities in which they do not believe (e.g., fairies, vampires, Santa Claus) as persons with special properties. If what determines the believability of an unencountered entity is its conformity to preexisting theoretical commitments, then why might individuals believe in some supernatural entities but not others? I will present three studies that explore this question in the context of the cognitive assumption that anything conceptualized as a person is also conceptualized as an animal, as an organism, as an object, and as matter. Data from both linguistic and nonlinguistic tasks suggests that individuals bothered by inconsistencies (e.g., Harvard undergraduates) may retain belief in entities initially inconsistent with their theoretical commitments by reconceptualizing those entities, removing them from the material-kinds categories whose properties they defy (e.g., objects, organisms) and placing them into new, nonmaterial-kinds categories (e.g., forces, energy).
Irene Pepperberg
Cognitive and Communicative Abilities of Grey Parrots


For over 25 years, Pepperberg has used a modeling (M/R) technique to train Grey parrots to use an allospecific code (English speech) referentially; she then uses the code to test their cognitive abilities. The oldest bird, Alex, labels over 50 exemplars, 7 colors, 5 shapes, quantities to 6, 3 categories (color, shape, material) and uses "no", "come here", "wanna go X" and "want Y" (X and Y are appropriate location or item labels). He combines labels to identify, request, comment upon or refuse more than 100 items and alter his environment. He processes queries to judge category, relative size, quantity, presence or absence of similarity/difference in attributes, and show label comprehension. He semantically separates labeling from requesting. He thus exhibits capacities once presumed limited to humans or nonhuman primates.

Studies on this bird and other Greys show that parrots given training that lacks some aspect of input present in M/R protocols (reference, functionality, social interaction) fail to acquire referential English speech. Other data suggest that the extent of learning also depends on the form of input. Studies on how parrots acquire an allospecific code may elucidate mechanisms of other forms of exceptional learning: learning unlikely in the normal course of development but that can occur under certain conditions.
Rebecca Saxe
Young Infants' Concept of an Agent: Blurring the Boundaries of Domains


Very young infants expect inanimate objects to be solid and cohesive, to move along continuous paths, and to be caused to move (only) by contact. Infants take humans, on the other hand, to be exempt from the requirement of contact, and instead interpret humans^R behaviour in terms the pursuit of goals. These early abilities have been characterised as reflecting "core knowledge" of two fundamentally separate domains of cognition: naove physics and naove psychology. However, data from a series of behavioural studies with infants challenge this separation between domains. First, even 5-month-olds know that human action is constrained by physical laws, such as the principle of solidity. Second, 7 to 12 month old infants possess causal principles that relate entities across ontological categories, and allow them to infer an invisible human being as the cause of motion of (only) an inanimate object. Thus, even very young, pre-verbal infants make flexible and sophisticated causal inferences that cross the boundaries of the traditional domains of "core knowledge."
Aude Oliva
The Representation of Visual Complexity


Real-world scenes are characterized by their variability in objects, textures, colors, and spatial layouts. Yet, we recognize novel scenes quickly and effortlessly, independently of the variety of information they contain. How do human observers represent the visual complexity of a scene? Intuitively, a visual pattern appears more complex when we perceive more variety in its parts and in the connections between its parts. In this talk, I will present a series of behavioral experiments that address more specifically the following questions: what are the visual regularities observers may use to spontaneously organize a pattern into a single unit? Is visual complexity a perceptual property simple enough so that it can be compressed along a unique perceptual dimension, or is visual complexity better represented by a multi-dimensional space of perceptual dimensions (which ones?)? Finally, how is the perceived visual complexity of a scene modulated by task constraints?
Elizabeth Kensinger
Neuroimaging Accurate and Distorted Memories: Effects of Emotional Content


Emotion infuses many of life's experiences. Numerous studies have demonstrated that the likelihood of remembering a particular experience can be affected by its emotional content, with emotional experiences more often remembered than neutral ones. I will present behavioral data examining whether emotion also influences the accruacy of memory. I also will discuss neuroimaging evidence that engagement of limbic regions (particularly the amygdala and orbitofrontal cortex) during encoding and retrieval mediates the effect of emotional content on the frequency of memory distortion.
Joan Chiao
Seeing Race, Hearing Race: Neural and Behavioral Investigations into the Role of Race in Social Perception


Is race an important feature in social perception? The ability to transform perceptual input conveyed through the face and voice into social information about a person's identity or emotional state is critical to everyday social interaction and survival. Humans are endowed with flexible mechanisms that support these abilities from the beginning of life. Moreover, convergent evidence from neuroimaging, TMS and lesion studies suggest that social perception is a process subserved by a core system of neural structures, including the amygdala, prefrontal cortex and superior temporal gyrus. In this talk, I will present behavioral, FMRI and ERP studies that investigate the effect of racial group membership on the ability to recognize the identity and emotions of others. I will argue that race affects social perception to the extent that 1) perceptual exposure to people of various races differs, 2) race is visually, as opposed to auditorally, cued, and 3) social status between racial groups differs.
Yi Ting Huang
What Exactly Do Numbers Mean?


There is an ongoing dispute about the meanings of number words. Neo-Gricean theories (Horn, 1989; Levinson, 2000) posit that numbers have lower-bounded semantics and receive exact interpretations via scalar implicature. Others (Koenig, 1991; Breheny, 2003) argue that numbers have exact semantics and that apparent lower-bounded interpretations are achieved by contextual restriction or reference to subsets of the array. To distinguish these accounts we tested children and adults in a new experimental task in which scalar implicatures are canceled and contextual restriction is minimized. Both groups consistently gave exact interpretations for "two" but lower-bounded interpretations of "some".
Niels Janssen
The Interplay of Word Positional and Word Form Processes During Language Production


During speaking we select words that convey our thoughts and order these words according to the grammar of our language. The experiments I present in my talk address the question of how the ordering of words, or positional processing, occurs during language production. I will discuss two sets of experiments; the first set deals with the question whether positional information of words plays a role during their phonological encoding. Current models of language production all predict positional and phonological information to be processed independently. I will discuss linguistic evidence that calls into question this independence assumption and discuss a recently proposed model in which it is assumed that positional and phonological processing interact. Two experiments directly test this assumption by manipulating positional and phonological processing. The results of these experiments support a model that assumes interactive processing of positional and phonological information. The second set of experiments addresses the nature of this positional information. Finally, the general implications of this work are discussed.
Alison Harris
How Selective Is the "Face-Selective" M170 Response? Evidence from Developmental Prosopagnosia and Double-Pulse Adaptation


Faces form an extremely important class of visual stimuli, and converging evidence from different methodologies has suggested that faces undergo specialized visual processing in the brain. Here I present data from two sets of experiments examining different aspects of "face-selectivity" in the M170, a component measured with magnetoencephalography (MEG) which shows a larger response to faces than to a wide variety of other stimuli. First, I examine the question of whether the face-selectivity of the M170 is related to behavioral performance on face recognition by testing developmental prosopagnosics, individuals with a lifelong impairment in face perception. While three out of five developmental prosopagnosics tested show a "non-selective" M170 response with equal amplitudes to face and house stimuli, the remaining two prosopagnosic subjects are indistinguishable from normal controls. Thus, though the face-selectivity of the M170 is sometimes correlated with behavioral impairments in face processing, developmental prosopagnosics show substantial variation in M170 selectivity. It is therefore unclear what "face-selectivity" in the M170 actually means. I attempt to address this issue through adaptation of the M170 response using a "double-pulse" stimulus presentation paradigm (Jeffreys, 1996). In this paradigm, two stimuli (S1 and S2) are presented successively with an intervening ISI, and the effect of S1 on the response to S2 is measured. I find face-selective adaptation of the M170 response, with S1 faces producing a greater reduction in the S2 response than S1 houses. This differential effect of S1 stimulus holds even when face and house S1 stimuli are equated for amplitude. Adaptation may therefore provide a more sensitive measure of M170 selectivity than the M170 response itself.