Mon, May 21, 2012 - 12:15am
| M | T | W | T | F | S | S |
|---|---|---|---|---|---|---|
|
|
1
|
2
|
3
|
4
|
|
|
|
7
|
8
|
9
|
10
|
|
12
|
|
|
14
|
15
|
16
|
17
|
18
|
|
|
|
21
|
|
23
|
|
|
|
|
|
|
|
30
|
31
|
|
|
|
Keywords:
MRI
Social Cognition
Neuroscience
Bcs-talks
Cognition
MEG
Individual Differences
Working Memory
Development
Neural Development
Neural Plasticity
Computational Modeling
Resting State
HMS-CHB
Spatial Navigation
Dopamine
Motion
Optogenetics
Autism
Decision Making
Alzheimer's Disease
Olfaction
Aging
Prefrontal Cortex
Eye Tracking
Circuits
ICCNS11
Motor
Martinos Center
Reinforcement
PET
Oscillations
Neurodegeneration
HRC
Entorhinal Cortex
Genes
Visual Search
Addiction
MBC-Talks
EEG
Memory
Emotion
Consciousness
Parkinson's Disease
Synapses
Attention
Drugs
Neural Architecture
CELEST
CogLunch
Brain-Machine Interface
Hearing
Diseases
Perception
Neural Networks
Vision
Language
Parietal Cortex
Cognitive Control
Hippocampus
Speech
Songbirds
Functional Connectivity
Stem Cells
Basal Ganglia
Neuphi
Brainmap
Visionlabtalks-list
Neurochemistry
Audition
Neurodegenerative Disorders
Bayesian
Learning
Object Recognition
Rhythms
Thesis Defense
IGCC2011
SERI
Action
Conference
Molecules
Genetics
Motor Control
Connectome
Neurophilosophy
Neuroimaging
fMRI
Scene Statistics
Psychiatry
CBS
HMS
Categorization
Neural Codes
BrainLunch
Saccades
Neurogenesis
CBB_sem-list
Faces
Artificial Intelligence
Brain Disorders
| Time | Talks |
|---|---|
| All day |
|
| 12:00 pm |
12:00pm - 01:00pm
Todd Horowitz - Remembering the present: Multiple Object Tracking as a continuous visual working memory taskTodd Horowitz, Visual Attention Lab, Brigham and Women's
Classical accounts assume that multiple object tracking is a purely spatial task, involving spatial indexes, spatial attention, or spatial grouping processes which encode little or no information about target features. Yet the ability to track the positions of multiple targets but not their identity would be a pyrrhic accomplishment by the visual system. Indeed, multiple identity tracking experiments demonstrate that the visual system does know which objects are where. I will describe studies demonstrating that identity (featural) and spatial information are encoded in a common representation during tracking. Prioritizing location information reduces fidelity of identity information and vice versa. Improving encoding of identity information frees up space for positional information. Electrophysiological, and neuroimaging studies demonstrate a substantial overlap between the brain networks implicated in visual working memory tasks and those implicated in tracking (particularly in intraparietal sulcus); though tracking evokes additional activity presumably reflecting updating processes. Tracking can be seen as a continuous visual working memory task; alternatively, we can see visual working memory as a degenerate tracking task.
12:00pm - 01:00pm
Amy Cuddy - Fake it ‘til You Make It: Power Posing Change Hormones, Risk Tolerance, and Job Interview SuccessAmy Cuddy (Harvard Business)
http://www.hcs.harvard.edu/decision-ws/Spring_2012.html
12:00pm - 01:00pm
Keith Johnson - Molecular, structural and functional imaging in preclinical Alzheimer's diseaseKeith A. Johnson, M.D.
Radiology and Neurology, Harvard Medical School Division of Nuclear Medicine and Molecular Imaging, MGH Abstract: Converging evidence suggests that the pathophysiological process of Alzheimer’s disease (AD) begins more than a decade before the clinical stage we now recognize as AD dementia. Even by the stage of mild impairment, the neurodegeneration of AD is thought to be well entrenched, and amyloid deposition has already been present for years. Attempts to clarify the pathogenetic chain of events have proceeded in parallel with the related task of human AD biomarker development. In this talk, I will review recent data from normal older adults in which amyloid deposition is related to brain volume and brain glucose metabolism, in an attempt to characterize the preclinical state and to develop therapeutic trial endpoints. |
| 01:00 pm |
01:00pm - 02:00pm
Timothy Buschman - Evidence from Capacity Limitations for a Dual-Model of Working MemoryTimothy Buschman (MIT, Miller Lab)
Abstract: Cognition has a severely limited capacity: Adult humans can retain only about four items “in mind”. This limitation is fundamental to human brain function: Individual capacity is highly correlated with intelligence measures and capacity is reduced in neuropsychiatric diseases. Although human capacity limitations are well studied, their mechanisms have not been investigated at the single-neuron level. Simultaneous recordings from monkey parietal and frontal cortex revealed that visual capacity limitations occurred immediately upon stimulus encoding and in a bottom-up manner. Capacity limitations were found to reflect a dual model of working memory. The left and right halves of visual space had independent capacities and thus are discrete resources. However, within each hemifield, neural information about successfully remembered objects was reduced by adding further objects, indicating that resources are shared. Together, these results suggest visual capacity limitation is due to discrete, slot-like, resources, each containing limited pools of neural information that can be divided among objects. |
Collective intelligence of world-leading neuroscientists
Upcoming:
-
11 hours 59 min from now:Liqun LuoLiqun Luo (Stanford University)
http://tech.groups.yahoo.com/group/boston-neurotalks/message/7228 -
2 days 11 hours from now:Darin Dougherty - Neurotherapeutic Interventions in PsychiatryDarin Dougherty, MD, MSc
MGH
Abstract:
While the majority of patients with psychiatric illness respond to conventional treatments (e.g., psychotherapy, pharmacotherapy), a minority do not and are considered treatment-resistant. For these patients, neurotherapeutic interventions may be warranted. Neurotherapeutic interventions refer to surgical and/or device-related treatments and include electroconvulsive therapy (ECT), transcranial magnetic stimulation (TMS), ablative limbic system surgery (e.g., anterior cingulotomy, limbic leukotomy), epidural cortical stimulation (EpCS), and deep brain stimulation (DBS). I will review our experience with each of these procedures at MGH and will include results from concurrent imaging studies regarding the pathophysiology of these illnesses, changes associated with these interventions, and the potential utility of using pretreatment neuroimaging to predict subsequent response. I will conclude with a review of possible future directions within the field of psychiatric neurotherapeutics including targeted delivery of neurotransmitters or neurotrophic growth factors and optogenetics. -
1 week 2 days from now:International Conference on Cognitive and Neural Systemshttp://cns.bu.edu/cns-meeting/conference.html
This interdisciplinary conference is attended each year by approximately 300 people from 30 countries around the world. As in previous years, the conference will focus on solutions to the questions:
HOW DOES THE BRAIN CONTROL BEHAVIOR?
HOW CAN TECHNOLOGY EMULATE BIOLOGICAL INTELLIGENCE?
The conference is aimed at researchers and students of computational neuroscience, cognitive science, neural networks, neuromorphic engineering, and artificial intelligence. It includes invited lectures and contributed lectures and posters by experts on the biology and technology of how the brain and other intelligent systems adapt to a changing world. The conference is particularly interested in exploring how the brain and biologically-inspired algorithms and systems in engineering and technology can learn. Single-track oral and poster sessions enable all presented work to be highly visible. Three-hour poster sessions with no conflicting events will be held on two of the conference days. Posters will be up all day, and can also be viewed during breaks in the talk schedule.
CONFIRMED INVITED SPEAKERS
Martin Banks (University of California, Berkeley) - Combining depth information from disparity and blur
Helen Barbas (Boston University) [Plenary Speaker] - Prefrontal pathways and flexible behavior
Nathaniel Daw (New York University) - Reinforcement learning in humans: Beyond reinforcement
Paul Glimcher (New York University) - Cortical normalization and the neural mechanisms of decision-making
Stephen Grossberg (Boston University) [Plenary Speaker] - How can children (and robots) learn to follow gaze, share joint attention, imitate their teachers, and use tools during social interactions?
Lori Holt (Carnegie Mellon University) - Using speech to listen in on auditory processing
Margaret Livingstone (Harvard Medical School) - Functional modules: How do we get them and what good are they?
Zhong-Lin Lu (Ohio State University) - Functions and mechanisms of perceptual learning
Christopher Pack (McGill University) - Hierarchical processing of complex motion along the primate dorsal visual
pathway
Max Riesenhuber (Georgetown University) - Object recognition in cortex: From pipelines to flying crossbodies
Veit Stuphorn (Johns Hopkins University) - The role of the Supplementary Eye Field in value-based decision-making
Jeffrey Taube (Dartmouth College) - Learning and memory in the head direction cell circuit: How head direction
cells guide behavior
CELEST WORKSHOP ON "BUILDING AUTONOMOUS ROBOTS"
Gary Bradski (Willow Garage) - Perception tools and systems for autonomous robots
Stefano Fusi (Columbia University) - Constructing efficient neural representations for both biological and
neuromorphic artificial systems
Jeff Krichmar (University of California, Irvine) - Design principles for biologically inspired cognitive robotics
Greg Snider (Hewlett Packard Labs) - Robot brains from dynamic fields
Max Versace (Boston University) - Intelligent machines or bust -
1 week 3 days from now:International Conference on Cognitive and Neural Systemshttp://cns.bu.edu/cns-meeting/conference.html
This interdisciplinary conference is attended each year by approximately 300 people from 30 countries around the world. As in previous years, the conference will focus on solutions to the questions:
HOW DOES THE BRAIN CONTROL BEHAVIOR?
HOW CAN TECHNOLOGY EMULATE BIOLOGICAL INTELLIGENCE?
The conference is aimed at researchers and students of computational neuroscience, cognitive science, neural networks, neuromorphic engineering, and artificial intelligence. It includes invited lectures and contributed lectures and posters by experts on the biology and technology of how the brain and other intelligent systems adapt to a changing world. The conference is particularly interested in exploring how the brain and biologically-inspired algorithms and systems in engineering and technology can learn. Single-track oral and poster sessions enable all presented work to be highly visible. Three-hour poster sessions with no conflicting events will be held on two of the conference days. Posters will be up all day, and can also be viewed during breaks in the talk schedule.
CONFIRMED INVITED SPEAKERS
Martin Banks (University of California, Berkeley) - Combining depth information from disparity and blur
Helen Barbas (Boston University) [Plenary Speaker] - Prefrontal pathways and flexible behavior
Nathaniel Daw (New York University) - Reinforcement learning in humans: Beyond reinforcement
Paul Glimcher (New York University) - Cortical normalization and the neural mechanisms of decision-making
Stephen Grossberg (Boston University) [Plenary Speaker] - How can children (and robots) learn to follow gaze, share joint attention, imitate their teachers, and use tools during social interactions?
Lori Holt (Carnegie Mellon University) - Using speech to listen in on auditory processing
Margaret Livingstone (Harvard Medical School) - Functional modules: How do we get them and what good are they?
Zhong-Lin Lu (Ohio State University) - Functions and mechanisms of perceptual learning
Christopher Pack (McGill University) - Hierarchical processing of complex motion along the primate dorsal visual
pathway
Max Riesenhuber (Georgetown University) - Object recognition in cortex: From pipelines to flying crossbodies
Veit Stuphorn (Johns Hopkins University) - The role of the Supplementary Eye Field in value-based decision-making
Jeffrey Taube (Dartmouth College) - Learning and memory in the head direction cell circuit: How head direction
cells guide behavior
CELEST WORKSHOP ON "BUILDING AUTONOMOUS ROBOTS"
Gary Bradski (Willow Garage) - Perception tools and systems for autonomous robots
Stefano Fusi (Columbia University) - Constructing efficient neural representations for both biological and
neuromorphic artificial systems
Jeff Krichmar (University of California, Irvine) - Design principles for biologically inspired cognitive robotics
Greg Snider (Hewlett Packard Labs) - Robot brains from dynamic fields
Max Versace (Boston University) - Intelligent machines or bust -
1 week 4 days from now:International Conference on Cognitive and Neural Systemshttp://cns.bu.edu/cns-meeting/conference.html
This interdisciplinary conference is attended each year by approximately 300 people from 30 countries around the world. As in previous years, the conference will focus on solutions to the questions:
HOW DOES THE BRAIN CONTROL BEHAVIOR?
HOW CAN TECHNOLOGY EMULATE BIOLOGICAL INTELLIGENCE?
The conference is aimed at researchers and students of computational neuroscience, cognitive science, neural networks, neuromorphic engineering, and artificial intelligence. It includes invited lectures and contributed lectures and posters by experts on the biology and technology of how the brain and other intelligent systems adapt to a changing world. The conference is particularly interested in exploring how the brain and biologically-inspired algorithms and systems in engineering and technology can learn. Single-track oral and poster sessions enable all presented work to be highly visible. Three-hour poster sessions with no conflicting events will be held on two of the conference days. Posters will be up all day, and can also be viewed during breaks in the talk schedule.
CONFIRMED INVITED SPEAKERS
Martin Banks (University of California, Berkeley) - Combining depth information from disparity and blur
Helen Barbas (Boston University) [Plenary Speaker] - Prefrontal pathways and flexible behavior
Nathaniel Daw (New York University) - Reinforcement learning in humans: Beyond reinforcement
Paul Glimcher (New York University) - Cortical normalization and the neural mechanisms of decision-making
Stephen Grossberg (Boston University) [Plenary Speaker] - How can children (and robots) learn to follow gaze, share joint attention, imitate their teachers, and use tools during social interactions?
Lori Holt (Carnegie Mellon University) - Using speech to listen in on auditory processing
Margaret Livingstone (Harvard Medical School) - Functional modules: How do we get them and what good are they?
Zhong-Lin Lu (Ohio State University) - Functions and mechanisms of perceptual learning
Christopher Pack (McGill University) - Hierarchical processing of complex motion along the primate dorsal visual
pathway
Max Riesenhuber (Georgetown University) - Object recognition in cortex: From pipelines to flying crossbodies
Veit Stuphorn (Johns Hopkins University) - The role of the Supplementary Eye Field in value-based decision-making
Jeffrey Taube (Dartmouth College) - Learning and memory in the head direction cell circuit: How head direction
cells guide behavior
CELEST WORKSHOP ON "BUILDING AUTONOMOUS ROBOTS"
Gary Bradski (Willow Garage) - Perception tools and systems for autonomous robots
Stefano Fusi (Columbia University) - Constructing efficient neural representations for both biological and
neuromorphic artificial systems
Jeff Krichmar (University of California, Irvine) - Design principles for biologically inspired cognitive robotics
Greg Snider (Hewlett Packard Labs) - Robot brains from dynamic fields
Max Versace (Boston University) - Intelligent machines or bust -
2 weeks 11 hours from now:Bliss-Moreau, Lindquist, Somerville, & Zaki: Emerging Perspectives in Affective ScienceA Northeastern University Affective Science Institute symposium, featuring talks by four young investigators followed by a poster session and reception.
http://www.northeastern.edu/asi/emerging-prospectives-symposium/
Eliza Bliss-Moreau, California National Primate Research Center, University of California, Davis
Comparative Affective Science: What can we learn from nonhuman primates?
- This talk will explore the utility and promise of studying affect in nonhuman primates (Rhesus macaques; Macaca mulatta). I will first discuss how two translational metrics can be used to explore individual differences in affective processing in both humans and nonhuman animals. I will then present data from two studies demonstrating that measures of cardiac physiology and behavioral reactivity can be used to assess macaque affective states. Finally, I will address the unique contributions of animal models to the study of affect by presenting data documenting individual differences in macaque affect following experimentally induced changes in brain structure. Together, these findings suggest that animal models of affect can help answer questions about the evolution and fundamental properties of the mind that would be untenable if studying only humans.
Kristen A. Lindquist, Harvard University Mind/Brain/Behavior Initiative
Emotions emerge from core affect and conceptualization
- Emotions form the fabric of memories, social interactions, and culture. They affect our health, our ability to make decisions, and can make our break relationships with others. Together, the existing evidence suggests that emotions are important mental events—but amongst great agreement about the importance of emotions exists much disagreement about what they actually are. In this talk, I will weigh in on this question by presenting evidence that emotions are mental states that emerge from the combination of more basic psychological parts that are not specific to emotion. I will present behavioral, psychophysiological, neuropsychological, and neuroimaging evidence demonstrating that emotion experiences and perceptions emerge in consciousness when people use representations of prior experiences to make meaning of body states in a given instance. I close by discussing how such a constructionist model of emotion changes how scientists might think of the mind more generally.
Leah Somerville, Sackler Institute for Developmental Psychobiology, Weill Medical College of Cornell University
- Interactions between emotional processes across timescales: The case of fear and anxiety
Psychological accounts have long recognized the diversity of emotional experience in terms of intensity, timescale, and cognitive consequences However, our understanding of the brain circuitries that support these processes is limited by the type of emotion assayed in the laboratory – which is typically a brief response to a valenced cue. In my talk, I will present approaches my colleagues and I have taken to target anxiety-relevant emotional processes across a broader range of timescales. I will present data demonstrating that anxiety maintenance draws on distinct neural circuitries relative to the detection of anxiety-relevant emotional cues. Further, these circuitries interact across timescales, providing insight into how emotional states can up- or down-regulate moment to moment emotional processes. Finally, I will feature ongoing research considering linkages between neurodevelopmental properties of these circuitries and the staggered emergence of key symptoms of anxiety disorders during the first two decades of life.
Jamil Zaki, Department of Psychology, Stanford University
- A sensory integration approach to emotion perception
For as long as scientists have studied how people understand others’ minds, they have thought this task must be something like perceiving the physical world. Here I focus on extending this classic simile in a new direction: towards the study of “multi-modal” emotion perception. When encountering complex social cues—as they almost always do—perceivers use multiple processes for understanding others’ emotions. Like physical senses (e.g., vision or audition), emotion perception processes have often been studied as thought they operate in relative isolation. In the domain of physical perception, this assumption has broken down, following evidence that perception instead involves pervasive interactions between the senses. Recent data—including those from two studies I will present here—demonstrate that emotion perception processes similarly interact in ways that shape judgments about others’ affective states. These parallels suggest that researchers can leverage insights about physical perception to move towards a more complete understanding of emotion perception. Such a sensory integration approach further offers hints about Bayesian models that could formally describe how people understand each other’s internal states based on complex, multifaceted cues. -
2 weeks 2 days from now:Rudolf Jaenisch - iPS technology and disease researchPlease RSVP to lmavros@mit.edu
Rudolf Jaenisch, MD
Professor of Biology, MIT
Member, Whitehead Institute
Hosted by Mriganka Sur, Ph.D., FRS, Director, Simons Center for the Social Brain, MIT
http://web.mit.edu/scsb/ -
15 weeks 2 days from now:Janine LaSalleThe Simons Center for the Social Brain Colloquium Series
Please RSVP to lmavros@mit.edu
http://web.mit.edu/scsb/