TY - JOUR
T1 - Localized activity patterns in excitatory neuronal networks
AU - Rubin, Jonathan
AU - Bose, Amitabha
N1 - Funding Information:
Our primary interest in the problem considered in this paper was sparked by a talk given by Bard Ermentrout at a workshop in March 2003 at the Mathematical Biosciences Institute at Ohio State University. We thank the organizers of the MBI workshop for their support. This work was also supported, in part, by grants DMS-0108857 (JR) and DMS-0315862 (AB) from the National Science Foundation. JR thanks Carson Chow for comments on the scaling of bump robustness with synaptic footprint size in the continuum limit.
PY - 2004/5
Y1 - 2004/5
N2 - The existence of localized activity patterns, or bumps, has been investigated in a variety of spatially distributed neuronal network models that contain both excitatory and inhibitory coupling between cells. Here we show that a neuronal network with purely excitatory synaptic coupling can exhibit localized activity. Bump formation ensues from an initial transient synchrony of a localized group of cells, followed by the emergence of desynchronized activity within the group. Transient synchrony is shown to promote recruitment of cells into the bump, while desynchrony is shown to be good for curtailing recruitment and sustaining oscillations of those cells already within the bump. These arguments are based on the geometric structure of the phase space in which solutions of the model equations evolve. We explain why bump formation and bump size are very sensitive to initial conditions and changes in parameters in this type of purely excitatory network, and we examine how short-term synaptic depression influences the characteristics of bump formation.
AB - The existence of localized activity patterns, or bumps, has been investigated in a variety of spatially distributed neuronal network models that contain both excitatory and inhibitory coupling between cells. Here we show that a neuronal network with purely excitatory synaptic coupling can exhibit localized activity. Bump formation ensues from an initial transient synchrony of a localized group of cells, followed by the emergence of desynchronized activity within the group. Transient synchrony is shown to promote recruitment of cells into the bump, while desynchrony is shown to be good for curtailing recruitment and sustaining oscillations of those cells already within the bump. These arguments are based on the geometric structure of the phase space in which solutions of the model equations evolve. We explain why bump formation and bump size are very sensitive to initial conditions and changes in parameters in this type of purely excitatory network, and we examine how short-term synaptic depression influences the characteristics of bump formation.
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U2 - 10.1088/0954-898X_15_2_004
DO - 10.1088/0954-898X_15_2_004
M3 - Article
C2 - 15214703
AN - SCOPUS:2942620923
SN - 0954-898X
VL - 15
SP - 133
EP - 158
JO - Network: Computation in Neural Systems
JF - Network: Computation in Neural Systems
IS - 2
ER -