E. Neftci

Latest

• Online Few-Shot Gesture Learning on a Neuromorphic Processor
• On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic Processor
• Building a Better Lie Detector with BERT: The Difference Between Truth and Lies
• Embodied Neuromorphic Vision with Continuous Random Backpropagation
• High-Speed, Real-Time, Spike-Based Object Tracking and Path Prediction on Google Edge TPU
• Zero Velocity Detector for Foot-mounted Inertial Navigation System Assisted by a Dynamic Vision Sensor
• Reinforcement Learning in Artificial and Biological Systems
• Synaptic Plasticity for Deep Continuous Local Learning
• Independent Component Analysis Using RRAMs
• Synaptic Plasticity for Deep Continuous Local Learning
• Training a Probabilistic Graphical Model With Resistive Switching Electronic Synapses
• Synaptic sampling in hardware spiking neural networks
• Learning Non-deterministic Representations with Energy-based Ensembles
• Neural generative models with stochastic synapses capture richer representations
• Inherently Stochastic Spiking Neurons for Probabilistic Neural Computation
• Neuromorphic Engineering
• A 65k-Neuron 73-Mevents/S 22-pJ/Event Asynchronous Micro-Pipelined Integrate-and-Fire Array Transceiver
• PyNCS: a kernel for high-level configuration and definition of neuromorphic electronic systems
• Learning, Inference, and Replay of Hidden State Sequences in Recurrent Spiking Neural Networks
• Event-Driven Contrastive Divergence for Spiking Neuromorphic Systems
• Synthesizing cognition in neuromorphic electronic systems
• Restricted Boltzmann Machines and Continuous-time Contrastive Divergence in Spiking Neuromorphic Systems
• Dynamic State and Parameter Estimation applied to Neuromorphic Systems
• Systematic Construction of Finite State Automata Using VLSI Spiking Neurons
• Function approximation with uncertainty propagation in a VLSI spiking neural network
• Real-time inference in a VLSI spiking neural network
• A systematic method for configuring VLSI networks of spiking neurons
• Systematic configuration and automatic tuning of neuromorphic systems
• Towards VLSI Spiking Neuron Assemblies as General-Purpose Processors
• A Device Mismatch Compensation Method for VLSI Spiking Neural Networks
• State-Dependent Sensory Processing in Networks of VLSI Spiking Neurons
• Contraction Properties of VLSI Cooperative Competitive Neural Networks of Spiking Neurons
• Study of a Quantum Plaquette Model on a Triangular Lattice