slow time scale
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Author(s):  
Xiao-Bo Rao ◽  
Xu-Ping Zhao ◽  
Jian-She Gao ◽  
Jian-Gang Zhang
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2018 ◽  
Author(s):  
Wilten Nicola ◽  
Claudia Clopath

AbstractThe hippocampus is capable of rapidly learning incoming information, even if that information is only observed once. Further, this information can be replayed in a compressed format in either forward or reversed modes during Sharp Wave Ripples (SPW-R). We leveraged state-of-the-art techniques in training recurrent spiking networks to demonstrate how primarily inhibitory networks of neurons in CA3 and CA1 can: 1) generate internal theta sequences or “time-cells” to bind externally elicited spikes in the presence of septal inhibition, 2) reversibly compress the learned representation in the form of a SPW-R when septal inhibition is removed, 3) generate and refine gamma-assemblies during SPW-R mediated compression, and 4) regulate the inter-ripple-interval timing between SPW-R’s in ripple clusters. From the fast time scale of neurons to the slow time scale of behaviors, inhibitory networks serve as the scaffolding for one-shot learning by replaying, reversing, refining, and regulating spike sequences.


2007 ◽  
Vol 40 (7) ◽  
pp. 1629-1634 ◽  
Author(s):  
Jonathan B. Dingwell ◽  
Domenic F. Napolitano ◽  
David Chelidze

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