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Tuesday December 10, 2013 2 :00pm-2:50pm

MATH:7450 (22M:305) Topics in Topology: Scientific and Engineering Applications of Algebraic Topology Dec 2, 2013: Hippocampal spatial map formation Fall 2013 course offered through the University of Iowa Division of Continuing Education Isabel K. Darcy, Department of Mathematics

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Tuesday December 10, 2013 2 :00pm-2:50pm

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  1. MATH:7450 (22M:305) Topics in Topology: Scientific and Engineering Applications of Algebraic Topology Dec 2, 2013: Hippocampal spatial map formation Fall 2013 course offered through the University of Iowa Division of Continuing Education Isabel K. Darcy, Department of Mathematics Applied Mathematical and Computational Sciences, University of Iowa http://www.math.uiowa.edu/~idarcy/AppliedTopology.html

  2. Tuesday December 10, 2013 2:00pm-2:50pm A Topological Model of the Hippocampal Spatial Map, Yuri Dabaghian (Rice University) Wednesday December 11, 2013 9:00am-9:50am Topological Structures of Ensemble Neuronal Codes in the Rat Hippocampus, Zhe (Sage) Chen (Massachusetts Institute of Technology) 3:15pm-4:05pm Topological tools for detecting hidden geometric structure in neural data, Carina Curto (University of Nebraska)

  3. http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1000205http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1000205 First paper to use only the spiking activity of place cells to determine the topology (and geometry) of the environment using homology (and graphs).

  4. place cells = neurons in the hippocampus that are involved in spatial navigation http://en.wikipedia.org/wiki/File:Gray739-emphasizing-hippocampus.png http://en.wikipedia.org/wiki/File:Hippocampus.gif http://en.wikipedia.org/wiki/File:Hippocampal-pyramidal-cell.png

  5. How can the brain understand the spatial environment based only on action potentials (spikes) of place cells? http://upload.wikimedia.org/wikipedia/en/5/5e/Place_Cell_Spiking_Activity_Example.png

  6. How can the brain understand the spatial environment based only on action potentials (spikes) of place cells? http://upload.wikimedia.org/wikipedia/en/5/5e/Place_Cell_Spiking_Activity_Example.png

  7. http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1000205http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1000205

  8. Place field = region in space where the firing rates are significantly above baseline http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1000205

  9. Idea: Can recover the topology of the space traversed by the mouse by looking only at the spiking activity of place cells. http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1000205

  10. Creating the Čech simplicial complex 1.) B1 … Bk+1 ≠ ⁄ , create k-simplex {v1, ... , vk+1}. 0 U U

  11. Creating the Čech simplicial complex 1.) B1 … Bk+1 ≠ ⁄ , create k-simplex {v1, ... , vk+1}. 0 U U

  12. Consider X an arbitrary topological space. Let V= {Vi | i = 1, …, n } where Vi X , The nerve of V = N(V) where The k -simplices of N(V) = nonempty intersections of k +1 distinct elements of V. For example, Vertices = elements of V Edges = pairs in Vwhich intersect nontrivially. Triangles = triples in V which intersect nontrivially. http://www.math.upenn.edu/~ghrist/EAT/EATchapter2.pdf

  13. Nerve Lemma:If Vis a finite collection of subsets of X with all non-empty intersections of subcollections of Vcontractible, then N(V) is homotopicto the union of elements of V. http://www.math.upenn.edu/~ghrist/EAT/EATchapter2.pdf

  14. Idea: Can recover the topology of the space traversed by the mouse by looking only at the spiking activity of place cells. Vertices = place cells Add simplex if place cells co-fare within a specified time period http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1000205

  15. Cell group = collection of place cells that co-fire within a specified time period (above a specified threshold) . Simplices correspond to cell groups. dimension of simplex = number of place cells in cell group - 1 http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1000205

  16. Idea: Can recover the topology of the space traversed by the mouse by looking only at the spiking activity of place cells. Proof of concept: Data obtained via computer simulations of mouse trajectories using biologically relevant parameters. http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1000205

  17. a smoothed random-walk trajectory was generated, with speed = 0.1 L/s, which was constrained to ‘‘bounce’’ off boundaries and stay within the environment. The total duration of each simulated trajectory was 50 minutes. http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1000205

  18. For each of 300 trials, N= 70 place fields were generated as disks of radii 0.1 L to 0.15 L, with radii and centers chosen uniformly at random. • Centers were chosen initially uniformly at random from uncovered space. Once all space covered, remaining centers chosen at random. http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1000205

  19. For each place cell in each trial, an average firing rate was chosen uniformly at random from the interval 2–3 Hz. A spike train was generated from the trajectory and corresponding place field as an inhomogeneous Poisson process with constant rate when the trajectory passed inside the place field, and zero outside, so that the overall firing rate was preserved.

  20. Add noise. r% spikes were deleted from the spike train, and then added back to the spike train at random times, irrespective of position along trajectory, so as to preserve overall firing rate. Control : ‘Shuffled’ data sets were constructed by randomly choosing cells from each of the five environments, and pooling them together to yield population spiking activity that did not come from a single environment.

  21. Assumptions about Place Fields Place fields are omni-directional I.e. direction does not affect the firing rate. http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1000205

  22. Assumptions about Place Fields Place fields are omni-directional Correct assumption in open field. Not correct in linear track. Place cells can also encode angles and directions http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1000205

  23. Assumptions about Place Fields Place fields are omni-directional (2) Place fields have been previously formed and are stable. http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1000205

  24. Assumptions about Place Fields Place fields are omni-directional (2) Place fields have been previously formed and are stable. Note: the hippocampus can undergo rapid context dependent remapping. http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1000205

  25. Assumptions about Place Fields Place fields are omni-directional (2) Place fields have been previously formed and are stable. Note: the hippocampus can undergo rapid context dependent remapping. http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1000205

  26. Assumptions about Place Fields Place fields are omni-directional (2) Place fields have been previously formed and are stable. Note: the hippocampus can undergo rapid context dependent remapping. http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1000205

  27. Assumptions about Place Fields Place fields are omni-directional (2) Place fields have been previously formed and are stable. Note: the hippocampus can undergo rapid context dependent remapping. Nature 2002, Long-term plasticity in hippocampal place-cell representation of environmental geometry, Colin Lever, Tom Wills, Francesca Cacucci, Neil Burgess, John O'Keefe http://www.nature.com/nature/journal/v416/n6876/fig_tab/416090a_F2.html

  28. Assumptions about Place Fields Place fields are omni-directional (2) Place fields have been previously formed and are stable. (3) The collection of place fields corresponding to observed cells covers the entire traversed environment. I.e., the trajectory must be dense enough to sample the majority of cell groups. http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1000205

  29. Assumptions about Place Fields Place fields are omni-directional (2) Place fields have been previously formed and are stable. (3) The collection of place fields corresponding to observed cells covers the entire traversed environment. Biologically: place cells multiply cover the environment. http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1000205

  30. Assumptions about Place Fields Place fields are omni-directional (2) Place fields have been previously formed and are stable. (3) The collection of place fields corresponding to observed cells covers the entire traversed environment. For accurate computation of the nth homology group Hn, we need up to (n+1)-fold intersections to be detectable via cell groups. http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1000205

  31. Assumptions about Place Fields Place fields are omni-directional (2) Place fields have been previously formed and are stable. (3) The collection of place fields corresponding to observed cells covers the entire traversed environment. (4) The holes/obstacles are larger than the diameters of place fields. http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1000205

  32. Assumptions about Place Fields (5) Each (connected) component field of a single or multipeakedplace field is convex. (6) Background activity is low compared to the firing inside the place fields. (7) Place fields are roughly circular and have similar sizes, as is typical in dorsal hippocampus [41,42]. http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1000205

  33. For each place cell in each trial, an average firing rate was chosen uniformly at random from the interval 2–3 Hz. A spike train was generated from the trajectory and corresponding place field as an inhomogeneous Poisson process with constant rate when the trajectory passed inside the place field, and zero outside, so that the overall firing rate was preserved. Noise added.

  34. Cell group = collection of place cells that co-fire within a specified time period (above a specified threshold) . Simplices correspond to cell groups. dimension of simplex = number of place cells in cell group - 1 http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1000205

  35. Homology calculated via the GAP software package: http://www.cis.udel.edu/linbox/gap.html Simplices correspond to cell groups. dimension of simplex = number of place cells in cell group - 1 http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1000205

  36. Recovering the topology Trial is correct if Hi correct for i = 0, 1, 2, 3, 4. http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1000205

  37. Geometry???

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