A neuromorphic implementation of multiple spike-timing synaptic plasticity rules for large-scale neural networks

Large-scale neural circuit mapping data analysis accelerated with the graphical processing unit (GPU)

(2015) Yulin Shi et al.   JOURNAL OF NEUROSCIENCE METHODS

A framework for plasticity implementation on the SpiNNaker neural architecture

(2015) Francesco Galluppi et al.   Frontiers in Neuroscience

A mixed-signal implementation of a polychronous spiking neural network with delay adaptation

(2014) Runchun M. Wang et al.   Frontiers in Neuroscience

SpiNNaker: A 1-W 18-Core System-on-Chip for Massively-Parallel Neural Network Simulation

(2013) Eustace Painkras et al.   IEEE JOURNAL OF SOLID-STATE CIRCUITS

The adaptation of spike backpropagation delays in cortical neurons

(2013) Yossi Buskila et al.   Frontiers in Cellular Neuroscience

Are we merely the sum of our neurons?

(2012) Terrence J. Sejnowski   NEW SCIENTIST

Calcium-based plasticity model explains sensitivity of synaptic changes to spike pattern, rate, and dendritic location

(2012) M. Graupner et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Programming Time-Multiplexed Reconfigurable Hardware Using a Scalable Neuromorphic Compiler

(2012) K. Minkovich et al.   IEEE Transactions on Neural Networks and Learning Systems

Understanding the Human Brain

(2011) S. Brenner et al.   SCIENCE

Performance/price estimates for cortex-scale hardware: A design space exploration

(2010) Mazad S. Zaveri et al.   NEURAL NETWORKS

Real-Time Classification of Complex Patterns Using Spike-Based Learning in Neuromorphic VLSI

(2008) Srinjoy Mitra et al.   IEEE Transactions on Biomedical Circuits and Systems

Large-scale model of mammalian thalamocortical systems

(2008) E. M. Izhikevich et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA