A Single Pyramidal-Cell and Network Computational Model of the Hippocampal CA3 Region

U. Celikok, Eva Navarro Lopez, N.S. Sengor

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

112 Downloads (Pure)

Abstract

Hippocampal subarea CA3 has long drawn attention for its major role in encoding spatial representations and episodic memories [1]. Due to the presence of rich recurrent feedback connections, CA3 has been considered to play a key role in long-term memory formation. Moreover, CA3 has long been proposed as an auto-associative network capable of pattern completion and path integration for the retrieval and storage of episodic/declarative memory traces [2]. A broad range of experimental studies have supported the idea that hippocampal oscillations must be taken into consideration while investigating the region as a memory network. Empirically-validated studies on freely moving rats have identified two major oscillatory patterns of hippocampal activity in a behaviour-dependent context: theta- (4–8 Hz) and gamma-band (30–100 Hz) frequency rhythms [3, 4]. In rodents and humans, gamma rhythms embedded into theta oscillations become prominent during memory functions, object exploration, and spatial navigation [1]. The consideration of the spiking patterns of the neurons during oscillatory regimes is key to uncover the significance of hippocampal network oscillations in different processes. When the broad electrophysiological repertoire of CA3 pyramidal cells is considered, the computational description of the network requires a neural model. This model has to be simple enough to support a large hippocampal network, but still rich enough to capture complex pyramidal-cell dynamics. This is precisely what we propose here: a single-cell computational model for a CA3 pyramidal neuron that is used as the basic element to form a CA3 network model which will be able to reproduce key hippocampal oscillatory patterns. The spiking patterns of the offered single-cell model capture some essential features of well-known hippocampal spiking behaviour, such as: spike broadening at the end of a burst, rebound bursting, low-frequency bursts, and high-frequency tonic spiking (Figure 1). Moreover, the model for the CA3 population is also able to generate theta and gamma-band oscillations, known to be present in the CA3 region.
Original languageEnglish
Title of host publication26th Annual Computational Neuroscience Meeting, CNS2017, (July 15–20, 2017, Antwerp, Belgium).
Number of pages3
Volume1
Edition1
Publication statusPublished - 15 Jul 2017

Fingerprint

Dive into the research topics of 'A Single Pyramidal-Cell and Network Computational Model of the Hippocampal CA3 Region'. Together they form a unique fingerprint.

Cite this