TY - JOUR
T1 - Broadband macroscopic cortical oscillations emerge from intrinsic neuronal response failures
AU - Goldental, Amir
AU - Vardi, Roni
AU - Sardi, Shira
AU - Sabo, Pinhas
AU - Kanter, Ido
N1 - Publisher Copyright:
© 2015 Goldental, Vardi, Sardi,Sabo and Kanter.
PY - 2015/10/30
Y1 - 2015/10/30
N2 - Broadband spontaneous macroscopic neural oscillations are rhythmic cortical firing which were extensively examined during the last century, however, their possible origination is still controversial. In this work we show how macroscopic oscillations emerge in solely excitatory random networks and without topological constraints. We experimentally and theoretically show that these oscillations stem from the counterintuitive underlying mechanism—the intrinsic stochastic neuronal response failures (NRFs). These NRFs, which are characterized by short-term memory, lead to cooperation among neurons, resulting in sub- or several- Hertz macroscopic oscillations which coexist with high frequency gamma oscillations. A quantitative interplay between the statistical network properties and the emerging oscillations is supported by simulations of large networks based on single-neuron in-vitro experiments and a Langevin equation describing the network dynamics. Results call for the examination of these oscillations in the presence of inhibition and external drives.
AB - Broadband spontaneous macroscopic neural oscillations are rhythmic cortical firing which were extensively examined during the last century, however, their possible origination is still controversial. In this work we show how macroscopic oscillations emerge in solely excitatory random networks and without topological constraints. We experimentally and theoretically show that these oscillations stem from the counterintuitive underlying mechanism—the intrinsic stochastic neuronal response failures (NRFs). These NRFs, which are characterized by short-term memory, lead to cooperation among neurons, resulting in sub- or several- Hertz macroscopic oscillations which coexist with high frequency gamma oscillations. A quantitative interplay between the statistical network properties and the emerging oscillations is supported by simulations of large networks based on single-neuron in-vitro experiments and a Langevin equation describing the network dynamics. Results call for the examination of these oscillations in the presence of inhibition and external drives.
KW - Cortical oscillations
KW - Neual networks
KW - Neuronal plasticity
KW - Neuronal response failures
KW - Neuronal response latency
UR - http://www.scopus.com/inward/record.url?scp=84948772246&partnerID=8YFLogxK
U2 - 10.3389/fncir.2015.00065
DO - 10.3389/fncir.2015.00065
M3 - ???researchoutput.researchoutputtypes.contributiontojournal.article???
C2 - 26578893
SN - 1662-5110
VL - 9
SP - 1
EP - 11
JO - Frontiers in Neural Circuits
JF - Frontiers in Neural Circuits
IS - OCTOBER
ER -