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A novel digital neuromorphic architecture efficiently facilitating complex synaptic response functions applied to liquid state machines.

, , , , , , , , , and . IJCNN, page 2421-2428. IEEE, (2017)

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Neurogenesis deep learning: Extending deep networks to accommodate new classes., , , , , , , , and . IJCNN, page 526-533. IEEE, (2017)Biologically plausible models of homeostasis and STDP: Stability and learning in spiking neural networks., , , and . IJCNN, page 1-8. IEEE, (2013)Design space exploration and parameter tuning for neuromorphic applications., , , and . CODES+ISSS, page 20:1-20:2. IEEE, (2013)A novel digital neuromorphic architecture efficiently facilitating complex synaptic response functions applied to liquid state machines., , , , , , , , , and . IJCNN, page 2421-2428. IEEE, (2017)CARLsim 3: A user-friendly and highly optimized library for the creation of neurobiologically detailed spiking neural networks., , , , and . IJCNN, page 1-8. IEEE, (2015)GPGPU accelerated simulation and parameter tuning for neuromorphic applications., , , and . ASP-DAC, page 570-577. IEEE, (2014)Interplay of the magnitude and time-course of postsynaptic Ca2 + concentration in producing spike timing-dependent plasticity., and . J. Comput. Neurosci., 30 (3): 747-758 (2011)Bringing Touch to the Edge: A Neuromorphic Processing Approach For Event-Based Tactile Systems., , , and . AICAS, page 1-5. IEEE, (2023)Spiking network algorithms for scientific computing., , , , and . ICRC, page 1-8. IEEE Computer Society, (2016)