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Publication Type : Conference Paper
Thematic Areas : Learning-Technologies, Medical Sciences, Biotech
Publisher : XXXV Annual Meeting of Indian Academy of Neurosciences (IAN), Ravenshaw University, Cuttack, Odisha, India.
Source : XXXV Annual Meeting of Indian Academy of Neurosciences (IAN), Ravenshaw University, Cuttack, Odisha, India, 2017.
Campus : Amritapuri
School : School of Biotechnology
Center : Amrita Mind Brain Center, Biotechnology, Computational Neuroscience and Neurophysiology
Department : Computational Neuroscience Laboratory, biotechnology
Year : 2017
Abstract : The mammalian cerebellum is a highly multimodal structure, receiving inputs from multiple sensory modalities and integrating them during complex sensorimotor coordination tasks. Previously, using cell-type-specific anatomical projection mapping, it was shown that multimodal pathways converge onto individual cerebellar granule cells (Huang et al., 2013). Here we directly measure synaptic currents using in vivo patch-clamp recordings and confirm that a subset of single granule cells receive convergent functional multimodal (somatosensory, auditory, and visual) inputs via separate mossy fibers. Furthermore, we show that the integration of multimodal signals by granule cells can enhance action potential output. These recordings directly demonstrate functional convergence of multimodal signals onto single granule cells.
Cite this Research Publication : Dr. Bipin G. Nair, Dr. Shyam Diwakar, and A. Rajendran, “Pattern Abstraction and Sensory Encoding of Auditory and Visual Stimuli in Cerebellum Granular Layer Network”, in XXXV Annual Meeting of Indian Academy of Neurosciences (IAN), Ravenshaw University, Cuttack, Odisha, India, 2017.