Stochastic Synapses Enable Efficient Brain-Inspired Learning Machines

Bioinspired Programming of Memory Devices for Implementing an Inference Engine

(2015) Damien Querlioz et al.   PROCEEDINGS OF THE IEEE

Probabilistic inference in discrete spaces can be implemented into networks of LIF neurons

(2015) Dimitri Probst et al.   Frontiers in Computational Neuroscience

Unsupervised learning of digit recognition using spike-timing-dependent plasticity

(2015) Peter U. Diehl et al.   Frontiers in Computational Neuroscience

Real time unsupervised learning of visual stimuli in neuromorphic VLSI systems

(2015) Massimiliano Giulioni et al.   Scientific Reports

Robustness of spiking Deep Belief Networks to noise and reduced bit precision of neuro-inspired hardware platforms

(2015) Evangelos Stromatias et al.   Frontiers in Neuroscience

Plasticity in memristive devices for spiking neural networks

(2015) Sylvain Saïghi et al.   Frontiers in Neuroscience

Spiking Deep Convolutional Neural Networks for Energy-Efficient Object Recognition

(2014) Yongqiang Cao et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

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

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

Spike-Based Synaptic Plasticity in Silicon: Design, Implementation, Application, and Challenges

(2014) Mostafa Rahimi Azghadi et al.   PROCEEDINGS OF THE IEEE

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

(2014) P. A. Merolla et al.   SCIENCE

Poisson-Like Spiking in Circuits with Probabilistic Synapses

(2014) Rubén Moreno-Bote   PLoS Computational Biology

Limits to high-speed simulations of spiking neural networks using general-purpose computers

(2014) Friedemann Zenke et al.   Frontiers in Neuroinformatics

Event-driven contrastive divergence for spiking neuromorphic systems

(2014) Emre Neftci et al.   Frontiers in Neuroscience

An Event-Based Neural Network Architecture With an Asynchronous Programmable Synaptic Memory

(2013) Saber Moradi et al.   IEEE Transactions on Biomedical Circuits and Systems

Categorization and decision-making in a neurobiologically plausible spiking network using a STDP-like learning rule

(2013) Michael Beyeler et al.   NEURAL NETWORKS

Stochastic learning in oxide binary synaptic device for neuromorphic computing

(2013) Shimeng Yu et al.   Frontiers in Neuroscience

Real-time classification and sensor fusion with a spiking deep belief network

(2013) Peter O'Connor et al.   Frontiers in Neuroscience

Voltage Fluctuations in Neurons: Signal or Noise?

(2011) Yosef Yarom et al.   PHYSIOLOGICAL REVIEWS

Spontaneous Cortical Activity Reveals Hallmarks of an Optimal Internal Model of the Environment

(2011) P. Berkes et al.   SCIENCE

Statistically optimal perception and learning: from behavior to neural representations

(2010) József Fiser et al.   TRENDS IN COGNITIVE SCIENCES

The low synaptic release probability in vivo

(2010) J. Gerard G. Borst   TRENDS IN NEUROSCIENCES

The probability of neurotransmitter release: variability and feedback control at single synapses

(2009) Tiago Branco et al.   NATURE REVIEWS NEUROSCIENCE

Noise in the nervous system

(2008) A. Aldo Faisal et al.   NATURE REVIEWS NEUROSCIENCE

The Dynamic Brain: From Spiking Neurons to Neural Masses and Cortical Fields

(2008) Gustavo Deco et al.   PLoS Computational Biology