Search Results - Nageswaran, Jayram M

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  1. 1
    An efficient automated parameter tuning framework for spiking neural networks

    An efficient automated parameter tuning framework for spiking neural networks by Carlson, Kristofor D, Nageswaran, Jayram Moorkanikara, Dutt, Nikil, Krichmar, Jeffrey L

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  2. 2
    Temporally evolving surround suppression helps decoding in a spiking model of motion processing

    Temporally evolving surround suppression helps decoding in a spiking model of motion processing by Meier, Philip M, Richert, Micah, Nageswaran, Jayram M, Izhikevich, Eugene

    Published in BMC neuroscience
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  3. 3
    Neuromorphic modeling abstractions and simulation of large-scale cortical networks

    Neuromorphic modeling abstractions and simulation of large-scale cortical networks by Krichmar, J. L., Dutt, N., Nageswaran, J. M., Richert, M.

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  4. 4
    Emergence of bottom-up saliency in a spiking model of V1

    Emergence of bottom-up saliency in a spiking model of V1 by Szatmáry, Botond, Richer, Micah, Nageswaran, Jayram Moorkanikara, Petre, Csaba, Piekniewski, Filip, Sokol, Sach, Izhikevich, Eugene M

    Published in BMC neuroscience
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  5. 5
    Spontaneous emergence of simple and complex receptive fields in a spiking model of V1

    Spontaneous emergence of simple and complex receptive fields in a spiking model of V1 by Izhikevich, Eugene M, Piekniewski, Filip, Nageswaran, Jayram, Petre, Csaba, Richert, Micah, Sokol, Sach, Meier, Philip, Buibas, Marius, Fisher, Dimitry, Szatmary, Botond

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  6. 6
    Towards reverse engineering the brain: Modeling abstractions and simulation frameworks

    Towards reverse engineering the brain: Modeling abstractions and simulation frameworks by Nageswaran, J M, Richert, M, Dutt, N, Krichmar, J L

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