Back to Search
Start Over
Symmetric temporal patterns in cortical spike trains during performance of a short-term memory task
- Source :
- Neurological research. 19(5)
- Publication Year :
- 1997
-
Abstract
- The trion model is a highly structured representation of cortical organization, which predicts families of symmetric spatial-temporal firing patterns inherent in cortical activity. The symmetries of these inherent firing patterns are used by the brain in short-term memory to perform higher level computations. In the present study, symmetric temporal patterns were searched for in spike trains recorded from cells in parietal cortex of a monkey performing a short-term memory task. A new method of analysis was used to map neuronal firing into sequences of integers representing relative levels of firing rate about the mean (i.e. -1, 0 and 1). The results of this analysis show families of patterns related by symmetry operations. These operations are: i. the interchanging of all the +1's and -1's in a given pattern sequence (C symmetry), ii. the inverting of the temporal sequence of the mapping (T symmetry), and iii. the combination of the two previous operations (CT symmetry). Patterns of a given family are found across cells, especially in the memory periods of the task; in most cases they reoccur within a given spike train. The pattern families predicted by the model and reported here should be further investigated in multiple microelectrode and EEG recordings.
- Subjects :
- Symmetry operation
Time Factors
Short-term memory
Posterior parietal cortex
Action Potentials
Electroencephalography
Neuropsychological Tests
Parietal Lobe
medicine
Animals
Representation (mathematics)
Mathematics
Sequence
Communication
Quantitative Biology::Neurons and Cognition
medicine.diagnostic_test
business.industry
Pattern recognition
General Medicine
Haplorhini
Memory, Short-Term
Neurology
Spike (software development)
Neurology (clinical)
Artificial intelligence
Symmetry (geometry)
business
Subjects
Details
- ISSN :
- 01616412
- Volume :
- 19
- Issue :
- 5
- Database :
- OpenAIRE
- Journal :
- Neurological research
- Accession number :
- edsair.doi.dedup.....74b1718b7cd6f32fcbcd8bed107c8349