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| Neuroscience
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| A. David Redish, Ph.D.
Associate Professor, Department of Neuroscience
redish@umn.edu
Office: MCB 4-142
Phone: (612) 626-3738
Personal Home Page: Click here.
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 Spatial
reasoning and navigation: from neurons to behavior
Because
we understand the mathematics of space, spatial reasoning can serve
as an entry point into our understanding of brain function.
My lab studies spatial cognition in rodents using three major
paradigms. (1) Experimental studies.
Recording from neuronal ensembles from awake, behaving animals.
This allows us to record the neural activity of up to 100 cells
simultaneously; we can determine the activity of each cell separately.
In a sense, knowing the activity of such a large population
allows us to "read the code."
In other words, it allows the neural representation to be measured
on small time-scales. We study how those neural codes change as an animal navigates
around an environment. (2)
Computational studies. Using
simulations of neural systems, we attempt to model the experimental
data recorded in the experiments described above.
(3) Theoretical studies.
We try to bring together our data and the data of numerous
other labs into a coherent picture of how animals navigate through
their world.
I
believe that it is very important for students interested in doing
theory or modeling to have experimental experience and for students
interested in experiments to have theory and modeling experience.
Including all three stages of this research process in a
single lab allows one to design experiments to answer specific hypotheses
in the theory, to create models which match the experiments quantitatively,
and to bring the results of both into a theory which addresses the
experiments directly, which then produces explicit hypotheses to
be tested by future experiments.
The figure above shows average waveforms from six cells simultaneously
recorded from a striatal tetrode. Because the cells are recorded
from a tetrode, each "waveform" has four components.
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Selected Publications
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 | Masimore B, Schmitzer-Torbert NC, Kakalios J, Redish AD.
Transient striatal gamma local field potentials signal movement initiation in rats.
Neuroreport. 2005 Dec 19;16(18):2021-4. | | Venkateswaran R, Boldt C, Parthasarathy J, Ziaie B, Erdman AG, Redish AD.
A motorized microdrive for recording of neural ensembles in awake behaving rats.
J Biomech Eng. 2005 Nov;127(6):1035-40. | | Johnson A, Redish AD.
Hippocampal replay contributes to within session learning in a temporal difference reinforcement learning model.
Neural Netw. 2005 Nov;18(9):1163-71. Epub 2005 Sep 29. | | Johnson A, Seeland K, Redish AD.
Reconstruction of the postsubiculum head direction signal from neural ensembles.
Hippocampus. 2005;15(1):86-96. | | Schmitzer-Torbert N, Jackson J, Henze D, Harris K, Redish AD.
Quantitative measures of cluster quality for use in extracellular recordings.
Neuroscience. 2005;131(1):1-11. | | Redish AD.
Addiction as a computational process gone awry.
Science. 2004 Dec 10;306(5703):1944-7. | | Masimore B, Kakalios J, Redish AD.
Measuring fundamental frequencies in local field potentials.
J Neurosci Methods. 2004 Sep 30;138(1-2):97-105. Erratum in: J Neurosci Methods. 2005 Feb 15;141(2):333. |
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Jackson JC, Redish AD
Detecting dynamical changes within a simulated neural ensemble using a measure of representational quality.
Network. 2003 Nov;14(4):629-45 |
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Rosenzweig ES, Redish AD, McNaughton BL, Barnes CA
Hippocampal map realignment and spatial learning.
Nat Neurosci. 2003 Jun;6(6):609-15 |
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Redish AD
Beyond
the Cognitive Map
1999, MIT Press |
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