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CMU-CS-97-166
Computer Science Department
School of Computer Science, Carnegie Mellon University
CMU-CS-97-166
Beyond the Cognitive Map: Contributions to a Computational
Neuroscience Theory of Rodent Navigation
A. David Redish
May 1997
Ph.D. Thesis
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Keywords: Theoretical neuroscience, computational neuroscience,
spatial cognition, place cell, head direction cell, path integration
Rodent navigation is a unique domain for studying information
processing in the brain because there is a vast literature of
experimental results at many levels of description, including
anatomical, behavioral, neurophysiological, and neuropharmacological.
This literature provides many constraints on candidate
theories. This thesis presents contributions to a theory of how
rodents navigate as well as an overview of that theory and how it
relates to the experimental literature.
In the first half of the thesis, I present a review and overview of
the rodent navigation literature, both experimental and theoretical.
The key claim of the theory is that navigation can be divided into two
categories: taxon/praxic navigation and locale navigation (O'Keefe and
Nadel, 1978), and that locale navigation can be understood as an
interaction between five subsystems: local view, head direction, path
integration, place code, and goal memory (Redish and Touretzky, 1997).
I bring ideas together from the extensive work done on rodent
navigation over the last century to show how the interaction of these
systems forms a comprehensive, computational theory of navigation.
This comprehensive theory has implications for an understanding of the
role of the hippocampus, suggesting that it shows three different
modes: storage, recall, and replay.
In the second half of the thesis, I show specific contributions to
this overall theory.
- I report the first simulation of the head direction system
that can track multiple head direction speeds accurately. The
simulations show that the theory implies that head direction
tuning curves in the anterior thalamic nuclei should deform
during rotations. This observation has been confirmed
experimentally by Blair et al. (1997)
- By examining the computational requirements and the anatomical
data, I suggest that the anatomical locus of the path
integrator is in a loop comprised of the subiculum, the
parasubiculum, and the superficial entorhinal cortex. This
contrasts with other hypotheses of the anatomical locus of
path integration (e.g. hippocampus, McNaughton et al. 1996)
and predicts that the hippocampus should not be involved in
path integration. This prediction has been recently tested
and confirmed by Alyan et al. (1997).
- I present simulations demonstrating the viability of the
three-mode hippocampal proposal, including storage and recall
of locations within single environments, with ambiguous
inputs, and in multiple environments.
- I present simulations demonstrating the viability of the
dual-role hippocampus (recall and replay), showing that the
two modes can coexist within the hippocampus even though the
two roles seem to require incompatible connection matrices.
In addition, I present simulations of specific experiments, including
- a simulation of the recent result from Barnes et al. (1997),
showing that the model produces a bimodality in the
correlations of representations of an environment in animals
with deficient LTP. These simulations show that the
Barnes et al. (1997) result does not necessarily imply that
the intra-hippocampal connections are pre-wired to form
separate charts as suggested by Samsonovich (1997).
- a simulation of Sharp et al.\s (1990) data on the interaction
between entry point and external cues, showing the first
simulations capable of replicating all the single place field
conditions reported by Sharp et al.
- simulations of Cheng (1986) and Margules and Gallistel (1988)
showing the importance of disorientation in self-localization.
- simulations of Morris et al. (1981), showing that the model
can replicate navigation in the water maze.
- simulations of Collett et al. (1986) and our own gerbil
navigation results, showing that the model can replicate a
number of reactions to different manipulations of landmark
arrays.
340 pages
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