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The Journal of Neuroscience, May 1, 2002, 22(9):3817-3830
Contrasting Patterns of Receptive Field Plasticity in the Hippocampus and the Entorhinal Cortex: An Adaptive Filtering Approach
Loren M. Frank1, Uri T. Eden1, Victor Solo2, Matthew A. Wilson3, and Emery N. Brown1 1 Neuroscience Statistics Research Laboratory, Department of Anesthesia and Critical Care, Massachusetts General Hospital and Harvard University/Massachusetts Institute of Technology (MIT) Division of Health Sciences and Technology, Boston, Massachusetts 02114, 2 School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, Australia, and 3 Center for Learning and Memory, RIKEN/MIT Neuroscience Research Center and Department of Brain and Cognitive Sciences, MIT, Cambridge, Massachusetts 02139
Neural receptive fields are frequently plastic: a neural response to a stimulus can change over time as a result of experience. We developed an adaptive point process filtering algorithm that allowed us to estimate the dynamics of both the spatial receptive field (spatial intensity function) and the interspike interval structure (temporal intensity function) of neural spike trains on a millisecond time scale without binning over time or space. We applied this algorithm to both simulated data and recordings of putative excitatory neurons from the CA1 region of the hippocampus and the deep layers of the entorhinal cortex (EC) of awake, behaving rats. Our simulation results demonstrate that the algorithm accurately tracks simultaneous changes in the spatial and temporal structure of the spike train. When we applied the algorithm to experimental data, we found consistent patterns of plasticity in the spatial and temporal intensity functions of both CA1 and deep EC neurons. These patterns tended to be opposite in sign, in that the spatial intensity functions of CA1 neurons showed a consistent increase over time, whereas those of deep EC neurons tended to decrease, and the temporal intensity functions of CA1 neurons showed a consistent increase only in the "theta" (75-150 msec) region, whereas those of deep EC neurons decreased in the region between 20 and 75 msec. In addition, the minority of deep EC neurons whose spatial intensity functions increased in area over time fired in a significantly more spatially specific manner than non-increasing deep EC neurons. We hypothesize that this subset of deep EC neurons may receive more direct input from CA1 and may be part of a neural circuit that transmits information about the animal's location to the neocortex.
Key words: hippocampus; CA1; entorhinal cortex; plasticity; receptive field; adaptive filtering; place field; spatial; coding
Copyright © 2002 Society for Neuroscience 0270-6474/02/2293817-14$05.00/0
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