An unsupervised neuromorphic clustering algorithm

Loihi: A Neuromorphic Manycore Processor with On-Chip Learning

(2018) Mike Davies et al.   IEEE MICRO

A Scalable Multicore Architecture With Heterogeneous Memory Structures for Dynamic Neuromorphic Asynchronous Processors (DYNAPs)

(2018) Saber Moradi et al.   IEEE Transactions on Biomedical Circuits and Systems

Behavioral Context Determines Network State and Variability Dynamics in Monkey Motor Cortex

(2018) Alexa Riehle et al.   Frontiers in Neural Circuits

GPUs Outperform Current HPC and Neuromorphic Solutions in Terms of Speed and Energy When Simulating a Highly-Connected Cortical Model

(2018) James C. Knight et al.   Frontiers in Neuroscience

Similarity in Neuronal Firing Regimes across Mammalian Species

(2016) Y. Mochizuki et al.   JOURNAL OF NEUROSCIENCE

GeNN: a code generation framework for accelerated brain simulations

(2016) Esin Yavuz et al.   Scientific Reports

Comparing Neuromorphic Solutions in Action: Implementing a Bio-Inspired Solution to a Benchmark Classification Task on Three Parallel-Computing Platforms

(2016) Alan Diamond et al.   Frontiers in Neuroscience

Minitaur, an Event-Driven FPGA-Based Spiking Network Accelerator

(2014) Daniel Neil et al.   IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS

Neurogrid: A Mixed-Analog-Digital Multichip System for Large-Scale Neural Simulations

(2014) Ben Varkey Benjamin et al.   PROCEEDINGS OF THE IEEE

A neuromorphic network for generic multivariate data classification

(2014) Michael Schmuker et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

A million spiking-neuron integrated circuit with a scalable communication network and interface

(2014) P. A. Merolla et al.   SCIENCE

Bayesian Computation Emerges in Generic Cortical Microcircuits through Spike-Timing-Dependent Plasticity

(2013) Bernhard Nessler et al.   PLoS Computational Biology

Overview of the SpiNNaker System Architecture

(2012) Steve B. Furber et al.   IEEE TRANSACTIONS ON COMPUTERS

Reinforcement learning in populations of spiking neurons

(2009) Robert Urbanczik et al.   NATURE NEUROSCIENCE

Competitive STDP-Based Spike Pattern Learning

(2009) Timothée Masquelier et al.   NEURAL COMPUTATION

PyNN: a common interface for neuronal network simulators

(2009) Andrew P Davison   Frontiers in Neuroinformatics

Measurement of variability dynamics in cortical spike trains

(2007) Martin P. Nawrot et al.   JOURNAL OF NEUROSCIENCE METHODS