research-article

Information processing via post-synaptic EPSP-spike complex and model-based predictions of induced changes during plasticity in cerebellar granular neuron

Authors:

Nidheesh Melethadathil,

Shyam DiwakarAuthors Info & Claims

A2CWiC '10: Proceedings of the 1st Amrita ACM-W Celebration on Women in Computing in India

Article No.: 5, Pages 1 - 8

https://doi.org/10.1145/1858378.1858383

Published: 16 September 2010 Publication History

Abstract

Understanding functional role of spike bursts in the brain circuits is vital in analyzing coding of sensory information. Information coding in neurons or brain cells happen as spikes or action potentials and excitatory post-synaptic potentials (EPSPs). Information transmission at the Mossy fiber- Granule cell synaptic relay is crucial to understand mechanisms of signal coding in the cerebellum. We analyzed spiking in granule cells via a detailed computational model and computed the spiking-potentiation contributing to signal recoding in granular layer. Plasticity is simulated in the granule cell model by changing the intrinsic excitability and release probability of the cells.

Excitatory post synaptic potentials and spikes on varying Golgi cell (GoC) inhibition and Mossy fiber(MF) excitation were analyzed simultaneously with the effect of induced plasticity changes based on the timing and amplitude of the postsynaptic signals. It is found that a set of EPSPs reaching maximum threshold amplitude are converted to less number of high amplitude EPSPs or spikes. Exploring the EPSP-spike complex in granular neurons reveal possible mechanisms and quantification of information encoding in individual neurons of the cerebellar granular layer. Therefore, our study is potentially an important estimation of cerebellar function.

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Cited By

Nair MLaji RMohan R(2021)Spike Correlations and Synchrony Affect the Information Encoding of NeuronsProceedings of International Conference on Intelligent Computing, Information and Control Systems10.1007/978-981-15-8443-5_65(763-773)Online publication date: 25-Jan-2021
https://doi.org/10.1007/978-981-15-8443-5_65

Index Terms

Information processing via post-synaptic EPSP-spike complex and model-based predictions of induced changes during plasticity in cerebellar granular neuron
1. Applied computing
  1. Life and medical sciences
    1. Health care information systems
2. Computing methodologies
  1. Machine learning
    1. Machine learning approaches
      1. Neural networks
  2. Modeling and simulation
    1. Model development and analysis
      1. Model verification and validation
    2. Simulation evaluation

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cover image ACM Other conferences

A2CWiC '10: Proceedings of the 1st Amrita ACM-W Celebration on Women in Computing in India

September 2010

425 pages

ISBN:9781450301947

DOI:10.1145/1858378

Conference Chairs:
Krishnashree Achuthan
Amrita University, India
,
Gayatri Buragohain
ACM-W India Ambassador

Copyright © 2010 ACM.

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Published: 16 September 2010

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A2CWiC '10

A2CWiC '10: Emerging Trends in Computing

September 16 - 17, 2010

Coimbatore, India

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Cited By

Nair MLaji RMohan R(2021)Spike Correlations and Synchrony Affect the Information Encoding of NeuronsProceedings of International Conference on Intelligent Computing, Information and Control Systems10.1007/978-981-15-8443-5_65(763-773)Online publication date: 25-Jan-2021
https://doi.org/10.1007/978-981-15-8443-5_65

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