Publication Type : Conference Paper
Thematic Areas : Learning-Technologies, Medical Sciences, Biotech
Publisher : 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI), IEEE, Jaipur, India.
Source : 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI), IEEE, Jaipur, India (2016)
Url : https://ieeexplore.ieee.org/document/7732020/
Keywords : Auditory, auditory patterns, auditory stimuli, biology computing, brain function, Brain models, cable compartmental model, cerebellum, cerebellum granule neuron responses, computational characterization, Computational neuroscience, excitatory inputs, Firing, firing patterns, granule neuron, granule neuron properties, hearing, in vivo behavior, input-output behavior, mossy fiber input patterns, mossy fiber-granule cell relay, multicompartment biophysical model, multiple information modality, Neurons, Neurophysiology, Optical fiber cables, Optical fiber communication, Optical fiber sensors, Optical fiber theory, real neurons, response, response patterns, sensory inputs, stimulus, tactile inputs, touch (physiological), Vision, Visual, visual patterns, visual stimuli, Visualization
Campus : Amritapuri
School : School of Biotechnology
Center : Amrita Mind Brain Center, Biotechnology, Computational Neuroscience and Neurophysiology
Department : biotechnology
Year : 2016
Abstract : The multimodal nature of sensory and tactile inputs to cerebellum is of significance for understanding brain function. Granule neuron properties in modifying auditory and visual stimuli was mathematically modeled in this study. Cerebellum granule neuron is a small electrotonically compact neuron and is among the largest number of neurons in the cerebellum. Granule neurons receives four excitatory inputs from four different mossy fibers. We mathematically reconstructed the firing patterns of both auditory and visual responses and decode the mossy fiber input patterns from both modalities. A detailed multicompartment biophysical model of granule neuron was used and in vivo behavior was modeled with short and long bursts. The cable compartmental model could reproduce input-output behavior as seen in real neurons to specific inputs. The response patterns reveal how auditory and visual patterns are encoded by the mossy fiber-granule cell relay and how multiple information modalities are processed by cerebellum granule neuron as responses of auditory and visual stimuli.
Cite this Research Publication : Chaitanya Medini, Arathi G. Rajendran, Aiswarya Jijibai, Dr. Bipin G. Nair, and Dr. Shyam Diwakar, “Computational characterization of cerebellum granule neuron responses to auditory and visual inputs”, in Proceedings of 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI 2016), Jaipur, India, Sept 21-24,2016.
