Brain Science as a Mutual Opportunity for the Physical Sciences, Mathematics, Computational Sciences, and Engineering - PowerPoint PPT Presentation

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Brain Science as a Mutual Opportunity for the Physical Sciences, Mathematics, Computational Sciences, and Engineering

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Title: Brain Science as a Mutual Opportunity for the Physical Sciences, Mathematics, Computational Sciences, and Engineering


1
Neuroscience at NSF Status and Prosepctives
Rae Silver Senior Advisor OIA/OD November 16
2006 ENG Advisory Committee
2
Why Now
  • The 2006 OMB-OSTP memo calls for more research in
    complex biological systems systems that are
    non-linear, multi-scale, and difficult to predict

3
Why NSF
  • NSF is the one agency that can bring to bear the
    necessary scientific, mathematical and
    engineering disciplines to explore complex
    biological systems systems that are non-linear,
    multi-scale, and difficult to predict
  • Opportunity Potential
  • Instrumentation and computational tools
  • Education

4
Planning process Neuroscience at NSF
BIO CISE GEO ENG MPS SBE
Instrumentation -development -purchase
behavioral and physiologic measurement
data analysis, modeling, and informatics
conceptual and theoretical approaches
building brain-like devices and systems
5
Our Challenge
  • Articulate future research opportunities
  • new scientific directions
  • broader benefits to society
  • Develop a series of workshops to identify
    transformative opportunities
  • research
  • education

6
  • Workshop recommendations
  • BIO SBE July 06
  • Promising work in cognition neuroscience
  • Adaptive Plasticity, Conflict and Cooperation,
    Spatial knowledge, Time, Language, Causal
    Understanding
  • http//www.nsf.gov/sbe/grand_chall.pdf 
  • CISE ENG MPS August 06
  • Identified 4 broad areas of opportunity
  • Instrumentation and Measurement
  • Data Analysis, Statistical Modeling, Informatics
  • Conceptual and Theoretical Approaches
  • Building Brain-like Devices and Systems

7
Timing Time measurement Talk about
engineering principles!
  • A central master clock in the SCN.
  • Many cells in different organs throughout the
    body have clocks, each of which have a circadian
    cycle in gene expression for large number of
    genes
  • Similar to motor system loops within loops
    exactly how one should build a complicated
    engineered system.
  • Its a bit like how computers are coordinated
    over the internet in terms of time each
    computer has a local clock, and they can be
    coordinated overall using the NNTP (network time
    protocol).

Partha Mitra ColdSpringHarborLab
8
Circadian Body Clocks
  • 1972 Daily clock located in hypothalamus-SCN
  • 1971 Clock mutants in flies
  • 1982 Cloning of fly clock gene (Period)
  • 1997-98 Period gene in mammals
  • Discovery of cell based circa-dian clock

DAY
NIGHT
9
Brain Computer Interfaces Biomimetic
Microelectronics as Implantable Neural Prostheses
Ted Berger Aug 06
  • Problem Integration of Brain and Computing
    Systems
  • Multi-Disciplinary Components
  • Biomimetic modeling of neurons and neural systems
    (neuroscience, mathematics, biomedical
    engineering)
  • Hardware implementation (VLSI) of neural models
    for parallelism, rapid computational speed, and
    miniaturization (computer science, computer
    engineering, electrical engineering)
  • Multi-site electrode recording/stimulation arrays
    to interface devices with the brain (material
    science, physics, chemistry)

short-term memory
long-term memory
10
Functional Neuroimaging of Information Flows
within the Brain Mechanisms of cognitive
processes and brain functions
ITR High-Resolution Cortical Imaging of Brain
Electrical Activity. Bin He, U Minnesota
11
Implementation Workshops
  • BIOSBE Mind and Brain Strategies and
    Directions for Future July 18-19, 2006
  • CISEENGMPS Brain Science as a Mutual
    Opportunity for the Physical Mathematical
    Sciences, Computer Science Engineering 21-22
    August 2006
  • BIOCISEENGMPSSBE March 5-6
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