Top down or bottom up? measuring, modeling and understanding cross-scale neural interactions: Difference between revisions

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'''Cosyne 2008 Workshop'''<br>
'''March 3-4, 2008 '''<br>
'''The Canyons, Utah'''
== Organizers ==
Tim Blanche (UC Berkeley) [mailto:timblanche_at_fastmail.fm timblanche_at_fastmail.fm]
<br>
Kilian Koepsell (UC Berkeley) [mailto:kilian_at_berkeley.edu kilian_at_berkeley.edu]
== Abstract ==
The brain functions on multiple spatial and temporal scales spanning several orders of magnitude. Most experimental neuroscientists and theoreticians tend to measure and model the brain at a single scale, regarding lower scales as 'implementational detail' and higher scales as phenomena to explain using the scale under study. While much progress has been made using this approach, the success of this paradigm rests on the assumption that the process or mechanism being studied at one scale operates largely independently of lower and higher scales, despite the fact that descriptions at different scales are descriptions of the same thing at different resolutions. The central themes of this workshop are thus: to what extent can overall brain function be understood one scale at a time? What has been learned by measuring and modeling brain processes across scales? Is there an optimal scale to model brain function? What are the correlational dependencies across levels in neural data? What information is processed at a given scale, how much redundancy is there, and what are the upward and downward flows of information across time?
The brain functions on multiple spatial and temporal scales spanning several orders of magnitude. Most experimental neuroscientists and theoreticians tend to measure and model the brain at a single scale, regarding lower scales as 'implementational detail' and higher scales as phenomena to explain using the scale under study. While much progress has been made using this approach, the success of this paradigm rests on the assumption that the process or mechanism being studied at one scale operates largely independently of lower and higher scales, despite the fact that descriptions at different scales are descriptions of the same thing at different resolutions. The central themes of this workshop are thus: to what extent can overall brain function be understood one scale at a time? What has been learned by measuring and modeling brain processes across scales? Is there an optimal scale to model brain function? What are the correlational dependencies across levels in neural data? What information is processed at a given scale, how much redundancy is there, and what are the upward and downward flows of information across time?


These are not new questions, but the tools emerging to answer them are. Our invited speakers use experimental and theoretical techniques that give a window on brain dynamics from single neurons to whole brains, modeling data obtained from whole cell recordings, implantable multi-electrode arrays, high-density EEG and epidural electrode arrays, fMRI, and MEG. The risk with such a workshop is that it fades into a series of loosely connected talks. We hope to avoid this veritable "Tower of Babel" by having speakers who not only have diverse multidisciplinary backgrounds, but whose research endeavors explicitly span two or more scales of measurement and analysis:  
These are not new questions, but the tools emerging to answer them are. Our invited speakers use experimental and theoretical techniques that give a window on brain dynamics from single neurons to whole brains, modeling data obtained from whole cell recordings, implantable multi-electrode arrays, high-density EEG and epidural electrode arrays, fMRI, and MEG. The risk with such a workshop is that it fades into a series of loosely connected talks. We hope to avoid this veritable "Tower of Babel" by having speakers who not only have diverse multidisciplinary backgrounds, but whose research endeavors explicitly span two or more scales of measurement and analysis:  


List of invitees:
== List of invitees ==


* Tony Bell
* Tony Bell
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* Ryan Canolty
* Ryan Canolty
* Pascal Fries
* Pascal Fries
* Eugene Izhikevich
* Jean-Philippe Lachaux
* Jean-Philippe Lachaux
* Rafael Malach
* Rafael Malach
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* Peter Robinson
* Peter Robinson
* Charles Schroeder
* Charles Schroeder
* Others TBA...


We hope you will join us for discussion and debate at what promises to be a very exciting workshop!
We hope you will join us for discussion and debate at what promises to be a very exciting workshop!

Latest revision as of 15:50, 17 October 2007

Cosyne 2008 Workshop
March 3-4, 2008
The Canyons, Utah


Organizers

Tim Blanche (UC Berkeley) timblanche_at_fastmail.fm
Kilian Koepsell (UC Berkeley) kilian_at_berkeley.edu

Abstract

The brain functions on multiple spatial and temporal scales spanning several orders of magnitude. Most experimental neuroscientists and theoreticians tend to measure and model the brain at a single scale, regarding lower scales as 'implementational detail' and higher scales as phenomena to explain using the scale under study. While much progress has been made using this approach, the success of this paradigm rests on the assumption that the process or mechanism being studied at one scale operates largely independently of lower and higher scales, despite the fact that descriptions at different scales are descriptions of the same thing at different resolutions. The central themes of this workshop are thus: to what extent can overall brain function be understood one scale at a time? What has been learned by measuring and modeling brain processes across scales? Is there an optimal scale to model brain function? What are the correlational dependencies across levels in neural data? What information is processed at a given scale, how much redundancy is there, and what are the upward and downward flows of information across time?

These are not new questions, but the tools emerging to answer them are. Our invited speakers use experimental and theoretical techniques that give a window on brain dynamics from single neurons to whole brains, modeling data obtained from whole cell recordings, implantable multi-electrode arrays, high-density EEG and epidural electrode arrays, fMRI, and MEG. The risk with such a workshop is that it fades into a series of loosely connected talks. We hope to avoid this veritable "Tower of Babel" by having speakers who not only have diverse multidisciplinary backgrounds, but whose research endeavors explicitly span two or more scales of measurement and analysis:

List of invitees

  • Tony Bell
  • Gyorgy Buzsaki
  • Ryan Canolty
  • Pascal Fries
  • Eugene Izhikevich
  • Jean-Philippe Lachaux
  • Rafael Malach
  • David Mc Cormick
  • Peter Robinson
  • Charles Schroeder
  • Others TBA...


We hope you will join us for discussion and debate at what promises to be a very exciting workshop!