- Title Information
- Title
- Mathematical model of neocortex predicts that dendritic calcium spikes are visible in human EEG signals
- Abstract
- Computational modeling is a powerful tool for studying how the activity of cells in a neural network is read out into human electroencephalography (EEG) signals. Suzuki and Larkum (2017) found that calcium spikes in the dendrites of layer 5 neocortical pyramidal neurons (PN) are visible in recordings on the cortical surface of rats. We used our lab’s model of neocortex to investigate and expand on this claim in relationship to human EEG. After adapting the model PNs to have more realistic electrophysiological properties, we found calcium spikes are indeed visible in the EEG. Furthermore, calcium spikes are visible in the absence of somatic spiking, and the polarity of the corresponding EEG indicates the direction of calcium flow in the dendrite.
- Name:
Personal
- Name Part
- Pugliese, Sarah
- Role
- Role Term:
Text
- creator
- Name:
Personal
- Name Part
- Jones, Stephanie
- Role
- Role Term:
Text
- creator
- Name:
Personal
- Name Part
- Jones, Stephanie
- Role
- Role Term:
Text
- advisor
- affiliation
- Brown University. Neuroscience
- Name:
Corporate
- Name Part
- Brown University. Karen T. Romer Undergraduate Teaching and Research Awards
- Role
- Role Term:
Text
- research program
- Subject (fast)
(authorityURI="http://id.worldcat.org/fast", valueURI="http://id.worldcat.org/fast/01400410")
- Topic
- Applied mathematics
- Subject (fast)
(authorityURI="http://id.worldcat.org/fast", valueURI="http://id.worldcat.org/fast/00890267")
- Topic
- Dendrites
- Subject (fast)
(authorityURI="http://id.worldcat.org/fast", valueURI="http://id.worldcat.org/fast/00890268")
- Topic
- Dendrites--Mathematical models
- Subject (fast)
(authorityURI="http://id.worldcat.org/fast", valueURI="http://id.worldcat.org/fast/00844063")
- Topic
- Calcium channels
- Subject (fast)
(authorityURI="http://id.worldcat.org/fast", valueURI="http://id.worldcat.org/fast/00906450")
- Topic
- Electroencephalography--Mathematical models
- Subject (fast)
(authorityURI="http://id.worldcat.org/fast", valueURI="http://id.worldcat.org/fast/00906445")
- Topic
- Electroencephalography
- Subject (fast)
(authorityURI="http://id.worldcat.org/fast", valueURI="http://id.worldcat.org/fast/01036436")
- Topic
- Neurons
- Subject (fast)
(authorityURI="http://id.worldcat.org/fast", valueURI="http://id.worldcat.org/fast/00872004")
- Topic
- Computational neuroscience
- Subject (fast)
(authorityURI="http://id.worldcat.org/fast", valueURI="http://id.worldcat.org/fast/01035778")
- Topic
- Neocortex
- Subject (fast)
(authorityURI="http://id.worldcat.org/fast", valueURI="http://id.worldcat.org/fast/01036273")
- Topic
- Neural networks (Neurobiology)--Mathematical models
- Language
- Language Term:
Text (ISO639-2B)
- English
- Type of Resource
- still image
- Genre (aat)
- posters
- Origin Information
- Place
- Place Term:
Code (MARC Country Code)
- riu
- Place
- Place Term:
Text
- Providence, RI
- Publisher
- Brown University
- Date Created
(keyDate="yes", encoding="w3cdtf")
- 2019
- Physical Description
- Extent
- 1 poster
- digitalOrigin
- born digital
- Access Condition:
use and reproduction
-
This work is licensed under a All rights reserved license
- Identifier:
DOI
- 10.26300/gp2h-m470