Rapid spatial map formation and remapping by competing over grid cell inputs
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My doctoral dissertation was defended on April 10, 2009, at the Columbia University Medical Center. This file is a Quicktime Movie rendering of the slides that I used to deliver the public thesis seminar. The file has manual progression, so that viewers can navigate through the slides and view embedded data visualization videos. Please download the file and view with Apple Quicktime software (n.b., the streaming video will just fly through the whole presentation automatically).
The seminar introduces the functional and anatomical structure of the hippocampal formation and its inputs, and proceeds to describe a feedforward model of place fields based on grid-cell inputs. The place-cell network uses strong recurrent inhibition as the primary mechanism for producing sparsity and the spatial specificity of place-cell activity. The grid-cell inputs are divided into discrete modules which are independently manipulated to provoke hippocampal remapping. Basic associative learning mechanisms are also demonstrated to show how novel environments may remap and become familiar over time.
The dissertation itself is available on ProQuest as UMI publication # 3393609. Some of the main results were published in the Journal of Neuroscience:
Monaco JD and Abbott LF. (2011). Modular realignment of entorhinal grid cell activity as a basis for hippocampal remapping. J. Neurosci., 31(25), 9414-9425. DOI: 10.1523/jneurosci.1433-11.2011.