Network Oscillation

2016 ◽  
Vol 2 (4) ◽  
pp. 368-391 ◽  
Author(s):  
Ronald S. Burt ◽  
Jennifer Merluzzi
Keyword(s):  
Network Oscillation

scholarly journals The role of voltage dependence of the NMDA receptor in cellular and network oscillation

2012 ◽  
Vol 36 (2) ◽  
pp. 2121-2136 ◽  
Author(s):  
Amber L. Martell ◽  
Jan-Marino Ramirez ◽  
Robert E. Lasky ◽  
Jennifer E. Dwyer ◽  
Michael Kohrman ◽  
...  
Keyword(s):  
Nmda Receptor ◽  
Voltage Dependence ◽  
Network Oscillation

scholarly journals Cooperation and competition of gamma oscillation mechanisms

2016 ◽  
Vol 116 (2) ◽  
pp. 232-251 ◽  
Author(s):  
Atthaphon Viriyopase ◽  
Raoul-Martin Memmesheimer ◽  
Stan Gielen
Keyword(s):  
Oscillation Frequency ◽  
Pyramidal Cells ◽  
Inhibitory Neurons ◽  
Oscillatory Activity ◽  
Inhibitory Synapses ◽  
Type I ◽  
Type Ii ◽  
Network Oscillation ◽  
Experimental Approaches ◽  
Chemical Synapses

Oscillations of neuronal activity in different frequency ranges are thought to reflect important aspects of cortical network dynamics. Here we investigate how various mechanisms that contribute to oscillations in neuronal networks may interact. We focus on networks with inhibitory, excitatory, and electrical synapses, where the subnetwork of inhibitory interneurons alone can generate interneuron gamma (ING) oscillations and the interactions between interneurons and pyramidal cells allow for pyramidal-interneuron gamma (PING) oscillations. What type of oscillation will such a network generate? We find that ING and PING oscillations compete: The mechanism generating the higher oscillation frequency “wins”; it determines the frequency of the network oscillation and suppresses the other mechanism. For type I interneurons, the network oscillation frequency is equal to or slightly above the higher of the ING and PING frequencies in corresponding reduced networks that can generate only either of them; if the interneurons belong to the type II class, it is in between. In contrast to ING and PING, oscillations mediated by gap junctions and oscillations mediated by inhibitory synapses may cooperate or compete, depending on the type (I or II) of interneurons and the strengths of the electrical and chemical synapses. We support our computer simulations by a theoretical model that allows a full theoretical analysis of the main results. Our study suggests experimental approaches to deciding to what extent oscillatory activity in networks of interacting excitatory and inhibitory neurons is dominated by ING or PING oscillations and of which class the participating interneurons are.

scholarly journals Author response: Network oscillation rules imposed by species-specific electrical coupling

2018 ◽  
Author(s):  
Stefanos Stagkourakis ◽  
Carolina Thörn Pérez ◽  
Arash Hellysaz ◽  
Rachida Ammari ◽  
Christian Broberger
Keyword(s):  
Electrical Coupling ◽  
Author Response ◽  
Network Oscillation ◽  
Response Network ◽  
Species Specific

In Vitro Odor-Aversion Conditioning in a Terrestrial Mollusk

2006 ◽  
Vol 95 (6) ◽  
pp. 3898-3903 ◽  
Author(s):  
Tsuyoshi Inoue ◽  
Masayoshi Murakami ◽  
Satoshi Watanabe ◽  
Yasuko Inokuma ◽  
Yutaka Kirino
Keyword(s):  
Avoidance Behavior ◽  
Oscillation Frequency ◽  
Neural Mechanism ◽  
Odor Aversion ◽  
Terrestrial Mollusk ◽  
Network Oscillation ◽  
Odor Learning ◽  
Aversion Conditioning

We developed an in vitro odor-aversion conditioning system in the terrestrial mollusk, Limax, and found a behavioral correlate of network oscillation in the olfactory CNS. We first examined the odor-induced behavior of Limax, after odor-aversion conditioning in vivo. Shortening of mantle muscles was specifically observed in response to aversively conditioned odors. We previously identified that parietal nerves, which project to the mantle muscle in Limax, regulate shortening of the mantle muscle. We therefore isolated whole brains containing noses (sensory organs) and parietal nerves (motor output), and applied an odor-aversion conditioning paradigm to these in vitro preparations. Before the in vitro conditioning, application of attractive odors to the noses did not elicit any discharge in the parietal nerves. However, after odor-aversion conditioning, discharges in the parietal nerves were observed in response to the natively attractive but aversively conditioned odors. We also found that network oscillation frequency in the procerebrum (PC), the olfactory CNS of Limax, increased specifically in response to the aversively conditioned odors that elicited avoidance behavior. In naive (nonconditioned) preparations, increases in the PC oscillation frequency were observed specifically in response to innately aversive odors. These results indicate that the isolated brains have an ability of odor learning. They also suggest that changes in PC network oscillation are associated with aversively conditioned and innately aversive odors, both of which elicit avoidance behavior. This in vitro conditioning system would be an effective approach for exploring the neural mechanism to determine the aversion to odors.

High-frequency network oscillation in the hippocampus

Science ◽  
1992 ◽  
Vol 256 (5059) ◽  
pp. 1025-1027 ◽  
Author(s):  
G Buzsaki ◽  
Z Horvath ◽  
R Urioste ◽  
J Hetke ◽  
K Wise
Keyword(s):  
High Frequency ◽  
Network Oscillation

The Neuronal Network Oscillation as a Critical Phenomenon

2014 ◽  
pp. 293-318 ◽  
Author(s):  
Richard Hardstone ◽  
Huibert D. Mansvelder ◽  
Klaus Linkenkaer-Hansen
Keyword(s):  
Neuronal Network ◽  
Critical Phenomenon ◽  
Network Oscillation

scholarly journals Effects of the γ-secretase inhibitor semagacestat on hippocampal neuronal network oscillation

2013 ◽  
Vol 4 ◽  
Author(s):  
Mihály Hajós ◽  
Elena Morozova ◽  
Chester Siok ◽  
Kevin Atchison ◽  
Charles E. Nolan ◽  
...  
Keyword(s):  
Neuronal Network ◽  
Network Oscillation ◽  
Secretase Inhibitor ◽  
Hippocampal Neuronal Network
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