S. R. Kulkarni, A. Tabassum, S. H. Lim, C. D. Schuman, B. H. Theilman, F. Rothganger, F. Wang and J. B. Aimone

April, 2024

Neuro Inspired Computational Elements (NICE)

https://ieeexplore.ieee.org/document/10549689

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Abstract

With significant improvements in large-scale simulations of brain models, there is a growing need to develop tools for rapid analysis and interpreting the simulation results. In this work, we explore the potential of sequential deep learning models to understand and explain the network dynamics among the neurons extracted from a large-scale neural simulation in STACS (Simulation Tool for Asynchronous Cortical Stream). Our method employs a representative neuroscience model that abstracts the cortical dynamics with a reservoir of randomly connected spiking neurons with a low stable spike firing rate throughout the simulation duration. We subsequently analyze the spike dynamics of the simulated spiking neural network through an autoencoder model and an attention-based mechanism.

Citation Information

Text

author     S. R. Kulkarni and A. Tabassum and S. H. Lim and C. D. Schuman and
           B. H. Theilman and F. Rothganger and F. Wang and J. B. Aimone
title      Explaining Neural Spike Activity for Simulated Bio-plausible Network through Deep Sequence Learning
booktitle  Neuro Inspired Computational Elements (NICE)
address    La Jolla, CA
month      April
year       2024
doi        10.1109/NICE61972.2024.10549689
url        https://ieeexplore.ieee.org/document/10549689

Bibtex

@INPROCEEDINGS{ktl:24:ens,
    author = "S. R. Kulkarni and A. Tabassum and S. H. Lim and C. D. Schuman and
               B. H. Theilman and F. Rothganger and F. Wang and J. B. Aimone",
    title = "Explaining Neural Spike Activity for Simulated Bio-plausible Network through Deep Sequence Learning",
    booktitle = "Neuro Inspired Computational Elements (NICE)",
    address = "La Jolla, CA",
    month = "April",
    year = "2024",
    doi = "10.1109/NICE61972.2024.10549689",
    url = "https://ieeexplore.ieee.org/document/10549689"
}