Neuroscience 2003 Abstract
| Presentation Number: | 518.11 |
|---|---|
| Abstract Title: | Monitoring of online hippocampal neural activity for closed-loop control of memory dependent performance. |
| Authors: |
Deadwyler, S. A.*1
; West, C. L.1
; Morgan, A. R.1
; Ramirez, S.1
; Konstantopoulos, J. K.1
; Simeral, J. D.1
; Hampson, R. E.1
1Physiology & Pharmacol., Wake Forest Univ. Hlth. Sci., Winston-Salem, NC |
| Primary Theme and Topics |
Cognition and Behavior - Animal Cognition and Behavior -- Learning & memory: Physiology and imaging |
| Secondary Theme and Topics | Cognition and Behavior<br />- Animal Cognition and Behavior<br />-- Associative, nonassociative and skill learning & memory systems |
| Session: |
518. Learning & Memory: Physiology & Imaging I Poster |
| Presentation Time: | Monday, November 10, 2003 3:00 PM-4:00 PM |
| Location: | Morial Convention Center - Hall F-I, Board # BB1 |
| Keywords: | RAT, BEHAVIOR, ensemble, linear discriminant |
We have recently demonstrated encoding of task-specific information for individual hippocampal neurons recorded in rats (Hampson et al. J Neurosci 22:RC198, 2002) as well as in nonhuman primates (Hampson et al. SFN Abstr. v28, 2002). By assessing neural activity on single trials using linear discriminant analyses it was possible to detect on-line neural patterns indicative of correct or incorrect decisions. These procedures were used to implement a closed feedback loop tied directly to task parameters to enhance cognitive performance. The on-line discriminant analyses demonstrated patterns of neural firing that correlated to specific behavioral and/or cognitive events. Multiple neuron activity was represented as a “waterfall” display in which recurring spatiotemporal firing patterns could be observed in real time. These patterns were reliably detected and identified (80-85%) on single trials using analysis templates derived from neural activity recorded in previous sessions. Two methods for “closing the loop” and altering the behavioral outcome predicted by the neural patterns were tested. The first involved detection of neural codes for specific behavioral events, then altering the behavioral program in a corresponding manner to force correct or error responses based what codes were detected by the algorithm. The second technique involved injecting direct electrical stimulation of hippocampal neurons to simulate the output patterns in an attempt to adjust hippocampal “coded” firing if incorrect. The platform will test other predications regarding the significance of hippocampal representations in real-time.
Supported by NIH DA00119, DA06634, DA03502, DA08549, MH61397, DARPA (SPAWAR) #N66001-02-C-8058
Sample Citation:
[Authors]. [Abstract Title]. Program No. XXX.XX. 2003 Neuroscience Meeting Planner. New Orleans, LA: Society for Neuroscience, 2003. Online.
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