Publication Type : Conference Paper
Thematic Areas : Learning-Technologies, Medical Sciences, Biotech
Publisher : ACM Digital Library
Source : Proceedings of the 1st Amrita ACM-W Celebration of Women in Computing in India, A2CWiC'10, Coimbatore, Sept 16-17, 2010.
Url : http://www.scopus.com/inward/record.url?eid=2-s2.0-78649393703&partnerID=40&md5=97c02b4acb29ad819f880ad1cb003793
ISBN : 9781450301947
Keywords : Action Potentials, bioinformatics, Brain, cerebellum, Computational neuroscience, Computer simulation, Data processing, Electrophysiology, EPSP, Granulation, Granule cells, Plasticity
Campus : Amritapuri, Kochi
School : Center for Nanosciences, School of Biotechnology, School of Engineering
Center : Amrita Center for Nanosciences and Molecular Medicine Move, Amrita Mind Brain Center, Biotechnology, Computational Neuroscience and Neurophysiology, Nanosciences
Department : Nanosciences and Molecular Medicine, Computer Science, Nanosciences, biotechnology
Verified : Yes
Year : 2010
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. © 2010 ACM.
Cite this Research Publication : Nair, M., Melethadathil, N., Nair, B., & Diwakar, S. (2010). Information processing via post-synaptic EPSP-spike complex and model-based predictions of induced changes during plasticity in cerebellar granular neuron. Paper presented at the Proceedings of the 1st Amrita ACM-W Celebration of Women in Computing in India, A2CWiC'10, doi:10.1145/1858378.1858383