Network topology determines neuronal phase-of-firing codes
M. R. Pratyush, Collins G. Assisi
The paper shows that network symmetry determines the stability of rhythmic firing patterns in phase-of-firing codes, using Sudoku-inspired model networks.
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Indian Institute of Science Education and Research PuneORCID 0000-0003-0108-582XUnclaimed ORCID profile · follow to get notified of new preprints
5 papers
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M. R. Pratyush, Collins G. Assisi
The paper shows that network symmetry determines the stability of rhythmic firing patterns in phase-of-firing codes, using Sudoku-inspired model networks.
Inayath Shaikh, Collins G. Assisi
The paper develops a grid cell network model to show how predictive coding in spatial navigation arises from intrinsic cellular mechanisms and circuit-level asymmetry in inhibition.
The paper shows how theta oscillations in the medial entorhinal cortex ensure reliable neural sequences by modulating inhibition and timing of rebound spikes.
Sandeep Chowdhary, Collins G. Assisi
The paper investigates how structural attributes of neuronal networks affect their capacity to generate stable spatiotemporal patterns by simulating a Sudoku-inspired network of pulse-coupled oscillators.
Collins G. Assisi, Mark Stopfer, Maxim Bazhenov
The paper develops a computational model of olfactory processing in insects, showing that sparse KC representations optimally separate odorants in MBONs, and that synaptic plasticity preserves this separation.