Name
Title | ||
|---|---|---|
Tracking the changes of hippocampal population nonlinear dynamics in rats learning a memory-dependent task. |
Abstract | ||
|---|---|---|
Neurobiological processes associated with learning are known to be highly nonlinear, dynamical, and time-varying. Characterizing the time-varying functional input-output properties of neural systems is a critical step to understand the neurobiological basis of learning. In this paper, we present a study on tracking of the changes of neural dynamics in rat hippocampus during learning of a memory-dependent delayed nonmatch-to-sample (DNMS) task. The rats were first trained to perform the DNMS task without a delay between the sample and response events. After reaching a performance level, they were subjected to the DNMS task with variable delays with a 5s mean duration. Spike trains were recorded from hippocampal CA3 (input) and CA1 (output) regions during all training sessions and constitute the input-output data for modeling. We applied the time-varying Generalized Laguerre-Volterra Model to study the changes of the CA3-CA1 nonlinear dynamics using these data. Result showed significant changes in the Volterra kernels after the introduction of delays. This result suggests that the CA3-CA1 nonlinear dynamics established in the initial training sessions underwent a functional reorganization as animals were learning to perform the task that now requires delays. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/IEMBS.2011.6090902 | EMBC |
Keywords | Field | DocType |
change tracking,cognition,rats,generalized laguerre-volterra model,hippocampal population nonlinear dynamics,neurophysiology,neural systems,neurobiological processes,time varying functional input-output properties,delayed nonmatch-to-sample task,memory dependent task,ca3-ca1 nonlinear dynamics,hippocampus,nonlinear dynamics,kernel,input output | Kernel (linear algebra),Computer vision,Population,Neuroscience,Nonlinear system,Neurophysiology,Computer science,Neural system,Artificial intelligence,Cognition,Hippocampal formation,Hippocampus | Conference |
Volume | ISSN | ISBN |
2011 | 1557-170X | 978-1-4244-4122-8 |
Citations | PageRank | References |
6 | 0.60 | 2 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rosa H M Chan | 1 | 182 | 22.79 |
| Song Dong | 2 | 6 | 0.60 |
| Anushka V. Goonawardena | 3 | 6 | 0.60 |
| Bough Sarah | 4 | 6 | 0.60 |
| Sesay John | 5 | 6 | 0.60 |
| Robert E. Hampson | 6 | 8 | 1.00 |
| Sam A. Deadwyler | 7 | 8 | 1.67 |
| theodore w berger | 8 | 380 | 87.26 |