By Manan Suri
This e-book covers all significant features of state-of-the-art learn within the box of neuromorphic engineering concerning rising nanoscale units. distinctive emphasis is given to top works in hybrid low-power CMOS-Nanodevice layout. The e-book deals readers a bidirectional (top-down and bottom-up) standpoint on designing effective bio-inspired undefined. on the nanodevice point, it makes a speciality of numerous flavors of rising resistive reminiscence (RRAM) know-how. on the set of rules point, it addresses optimized implementations of supervised and stochastic studying paradigms akin to: spike-time-dependent plasticity (STDP), long term potentiation (LTP), long term melancholy (LTD), severe studying machines (ELM) and early adoptions of constrained Boltzmann machines (RBM) to call a number of. The contributions talk about system-level power/energy/parasitic trade-offs, and intricate real-world functions. The ebook is suited to either complex researchers and scholars drawn to the field.
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Additional resources for Advances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices
Dominique Vuillaume for careful reading of the manuscript and Dr. Damien Querlioz for fruitful discussions. This work was supported by ANR-12PDOC- 0027-01 (Grant DINAMO). References 1. : Synaptic depression and cortical gain control. Science 275(5297), 221–224 (1997) 2. : Synaptic plasticity: taming the beast. Nat. Neurosci. 3, 1178–1183 (2000) 42 S. La Barbera and F. Alibart 3. : An organic nanoparticle transistor behaving as a biological spiking synapse. Adv. Funct. Mater. 20(2), 330–337 (2010) 4.
Synaptic depression and cortical gain control. Science 275(5297), 221–224 (1997) 2. : Synaptic plasticity: taming the beast. Nat. Neurosci. 3, 1178–1183 (2000) 42 S. La Barbera and F. Alibart 3. : An organic nanoparticle transistor behaving as a biological spiking synapse. Adv. Funct. Mater. 20(2), 330–337 (2010) 4. : Synaptic modifications in cultured hippocampal neurons: dependence on spike timing, synaptic strength, and postsynaptic cell type. J. Neurosci. 18(24), 10464–10472 (1998) 5. : Theory for the development of neuron selectivity: orientation specificity and binocular interaction in visual cortex.
A On the right: the modulated second-order state variable exhibits short-term dynamics and naturally encodes information on the relative timing and synapse activity. , each spike consists of a programming pulse and a heating pulse) . b On the right Simulation results illustrating how the short-term behavior affected long-term weight change. The difference in long-term weight is caused by the different values of residue of the second state variable at the moment when the second pulse is applied.
Advances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices by Manan Suri