QUICK SEARCH:   [advanced] Author: Keyword(s): Year:  Vol:  Page:

HOME  |   SEARCH  |   ARCHIVE  |   SUBSCRIBE  |   CONTACT  |   HELP

This Article Full Text Full Text (PDF) Video 1 Videos 2-4 Submit an eLetter Alert me when this article is cited Alert me when eLetters are posted Alert me if a correction is posted Citation Map Services Email this article to a friend Similar articles in this journal Similar articles in Web of Science Similar articles in PubMed Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via HighWire Citing Articles via Web of Science (14) Citing Articles via Google Scholar Google Scholar Articles by Frank, L. M. Articles by Brown, E. N. Search for Related Content PubMed PubMed Citation Articles by Frank, L. M. Articles by Brown, E. N.

 Previous Article  |  Next Article 

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

This article has been cited by other articles:

				G. Czanner, U. T. Eden, S. Wirth, M. Yanike, W. A. Suzuki, and E. N. Brown Analysis of Between-Trial and Within-Trial Neural Spiking Dynamics J Neurophysiol, May 1, 2008; 99(5): 2672 - 2693. [Abstract] [Full Text] [PDF]

				W. A. Suzuki and E. N. Brown Behavioral and Neurophysiological Analyses of Dynamic Learning Processes Behav Cogn Neurosci Rev, June 1, 2005; 4(2): 67 - 95. [Abstract] [PDF]

				W. Truccolo, U. T. Eden, M. R. Fellows, J. P. Donoghue, and E. N. Brown A Point Process Framework for Relating Neural Spiking Activity to Spiking History, Neural Ensemble, and Extrinsic Covariate Effects J Neurophysiol, February 1, 2005; 93(2): 1074 - 1089. [Abstract] [Full Text] [PDF]

				L. M. Frank, G. B. Stanley, and E. N. Brown Hippocampal Plasticity across Multiple Days of Exposure to Novel Environments J. Neurosci., September 1, 2004; 24(35): 7681 - 7689. [Abstract] [Full Text] [PDF]

Home  |   Search  |   Archive  |   Subscribe  |   Contact  |   Help