Noise as a Resource for Computation and Learning in Networks of Spiking Neurons

Temporal structure of motor variability is dynamically regulated and predicts motor learning ability

(2014) Howard G Wu et al.   NATURE NEUROSCIENCE

Motor variability is not noise, but grist for the learning mill

(2014) David J Herzfeld et al.   NATURE NEUROSCIENCE

Engineering intelligent electronic systems based on computational neuroscience [scanning the issue]

(2014) Mark D. McDonnell et al.   PROCEEDINGS OF THE IEEE

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

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

Stochastic Electronics: A Neuro-Inspired Design Paradigm for Integrated Circuits

(2014) Tara Julia Hamilton et al.   PROCEEDINGS OF THE IEEE

STDP Installs in Winner-Take-All Circuits an Online Approximation to Hidden Markov Model Learning

(2014) David Kappel et al.   PLoS Computational Biology

Survey of Stochastic Computing

(2013) Armin Alaghi et al.   ACM Transactions on Embedded Computing Systems

Emergence of Dynamic Memory Traces in Cortical Microcircuit Models through STDP

(2013) S. Klampfl et al.   JOURNAL OF NEUROSCIENCE

Hippocampal place-cell sequences depict future paths to remembered goals

(2013) Brad E. Pfeiffer et al.   NATURE

Context-dependent computation by recurrent dynamics in prefrontal cortex

(2013) Valerio Mante et al.   NATURE

The importance of mixed selectivity in complex cognitive tasks

(2013) Mattia Rigotti et al.   NATURE

Probabilistic brains: knowns and unknowns

(2013) Alexandre Pouget et al.   NATURE NEUROSCIENCE

Spontaneous cortical activity alternates between motifs defined by regional axonal projections

(2013) Majid H Mohajerani et al.   NATURE NEUROSCIENCE

Emergence of Optimal Decoding of Population Codes Through STDP

(2013) Stefan Habenschuss et al.   NEURAL COMPUTATION

Cortical dynamics revisited

(2013) Wolf Singer   TRENDS IN COGNITIVE SCIENCES

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

(2013) Bernhard Nessler et al.   PLoS Computational Biology

Stochastic Computations in Cortical Microcircuit Models

(2013) Stefan Habenschuss et al.   PLoS Computational Biology

Predictive Coding of Dynamical Variables in Balanced Spiking Networks

(2013) Martin Boerlin et al.   PLoS Computational Biology

Emergence of Complex Computational Structures From Chaotic Neural Networks Through Reward-Modulated Hebbian Learning

(2012) Gregor M. Hoerzer et al.   CEREBRAL CORTEX

Population Rate Dynamics and Multineuron Firing Patterns in Sensory Cortex

(2012) M. Okun et al.   JOURNAL OF NEUROSCIENCE

Two layers of neural variability

(2012) Mark M Churchland et al.   NATURE NEUROSCIENCE

Slow dynamics and high variability in balanced cortical networks with clustered connections

(2012) Ashok Litwin-Kumar et al.   NATURE NEUROSCIENCE

An Efficient Learning Procedure for Deep Boltzmann Machines

(2012) Ruslan Salakhutdinov et al.   NEURAL COMPUTATION

The Future of Memory: Remembering, Imagining, and the Brain

(2012) Daniel L. Schacter et al.   NEURON

The limits of brain determinacy

(2012) P. G. H. Clarke   PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES

Bayesian just-so stories in psychology and neuroscience.

(2012) Jeffrey S. Bowers et al.   PSYCHOLOGICAL BULLETIN

How the Bayesians got their beliefs (and what those beliefs actually are): Comment on Bowers and Davis (2012).

(2012) Thomas L. Griffiths et al.   PSYCHOLOGICAL BULLETIN

Planning as inference

(2012) Matthew Botvinick et al.   TRENDS IN COGNITIVE SCIENCES

Decorrelation of Neural-Network Activity by Inhibitory Feedback

(2012) Tom Tetzlaff et al.   PLoS Computational Biology

Neural processing as causal inference

(2011) Timm Lochmann et al.   CURRENT OPINION IN NEUROBIOLOGY

The benefits of noise in neural systems: bridging theory and experiment

(2011) Mark D. McDonnell et al.   NATURE REVIEWS NEUROSCIENCE

Multistability and Perceptual Inference

(2011) Samuel J. Gershman et al.   NEURAL COMPUTATION

Voltage Fluctuations in Neurons: Signal or Noise?

(2011) Yosef Yarom et al.   PHYSIOLOGICAL REVIEWS

How to Grow a Mind: Statistics, Structure, and Abstraction

(2011) J. B. Tenenbaum et al.   SCIENCE

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

(2011) P. Berkes et al.   SCIENCE

Probabilistic Inference in General Graphical Models through Sampling in Stochastic Networks of Spiking Neurons

(2011) Dejan Pecevski et al.   PLoS Computational Biology

Neural Dynamics as Sampling: A Model for Stochastic Computation in Recurrent Networks of Spiking Neurons

(2011) Lars Buesing et al.   PLoS Computational Biology

Neural Syntax: Cell Assemblies, Synapsembles, and Readers

(2010) György Buzsáki   NEURON

Two views of brain function

(2010) Marcus E. Raichle   TRENDS IN COGNITIVE SCIENCES

The low synaptic release probability in vivo

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

Belief Propagation in Networks of Spiking Neurons

(2009) Andreas Steimer et al.   NEURAL COMPUTATION

Phase-dependent neuronal coding of objects in short-term memory

(2009) Markus Siegel et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Spike Timing–Dependent Plasticity: A Hebbian Learning Rule

(2008) Natalia Caporale et al.   Annual Review of Neuroscience

Noise in the nervous system

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

Searching for Memories, Sudoku, Implicit Check Bits, and the Iterative Use of Not-Always-Correct Rapid Neural Computation

(2008) J. J. Hopfield   NEURAL COMPUTATION

A Learning Theory for Reward-Modulated Spike-Timing-Dependent Plasticity with Application to Biofeedback

(2008) Robert Legenstein et al.   PLoS Computational Biology

Bayesian Spiking Neurons I: Inference

(2007) Sophie Deneve   NEURAL COMPUTATION