4.6 Article

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

Related references

Note: Only part of the references are listed.
Article Neurosciences

Reinforcement learning with modulated spike timing-dependent synaptic plasticity

Michael A. Farries et al.

JOURNAL OF NEUROPHYSIOLOGY (2007)

Article Neurosciences

Solving the distal reward problem through linkage of STDP and dopamine signaling

Eugene M. Izhikevich

CEREBRAL CORTEX (2007)

Article Computer Science, Artificial Intelligence

Reinforcement learning, spike-time-dependent plasticity, and the BCM rule

Dorit Baras et al.

NEURAL COMPUTATION (2007)

Article Computer Science, Artificial Intelligence

Spike-timing-dependent plasticity in balanced random networks

Abigail Morrison et al.

NEURAL COMPUTATION (2007)

Article Computer Science, Artificial Intelligence

Reinforcement learning through modulation of spike-timing-dependent synaptic plasticity

Razvan V. Florian

NEURAL COMPUTATION (2007)

Review Neurosciences

Behavioral dopamine signals

Wolfram Schultz

TRENDS IN NEUROSCIENCES (2007)

Article Neurosciences

Volitional control of neural activity: implications for brain-computer interfaces

Eberhard E. Fetz

JOURNAL OF PHYSIOLOGY-LONDON (2007)

Article Neurosciences

Spike timing-dependent synaptic depression in the in vivo barrel cortex of the rat

Vincent Jacob et al.

JOURNAL OF NEUROSCIENCE (2007)

Article Biochemical Research Methods

Computational aspects of feedback in neural circuits

Wolfgang Maass et al.

PLOS COMPUTATIONAL BIOLOGY (2007)

Article Physics, Multidisciplinary

Gradient learning in spiking neural networks by dynamic perturbation of conductances

Ila R. Fiete et al.

PHYSICAL REVIEW LETTERS (2006)

Article Computer Science, Artificial Intelligence

Optimal spike-timing-dependent plasticity for precise action potential firing in supervised learning

Jean-Pascal Pfister et al.

NEURAL COMPUTATION (2006)

Article Neurosciences

The tempotron:: a neuron that learns spike timing-based decisions

R Gütig et al.

NATURE NEUROSCIENCE (2006)

Article Computer Science, Information Systems

Isolated word recognition with the Liquid State Machine:: a case study

D Verstraeten et al.

INFORMATION PROCESSING LETTERS (2005)

Article Neurosciences

Dynamics of population rate codes in ensembles of neocortical neurons

G Silberberg et al.

JOURNAL OF NEUROPHYSIOLOGY (2004)

Article Neurosciences

Fading memory and kernel properties of generic cortical microcircuit models

W Maass et al.

JOURNAL OF PHYSIOLOGY-PARIS (2004)

Article Multidisciplinary Sciences

Plasticity in single neuron and circuit computations

A Destexhe et al.

NATURE (2004)

Article Computer Science, Artificial Intelligence

Real-time computing without stable states:: A new framework for neural computation based on perturbations

W Maass et al.

NEURAL COMPUTATION (2002)

Review Computer Science, Artificial Intelligence

Dopamine-dependent plasticity of corticostriatal synapses

JNJ Reynolds et al.

NEURAL NETWORKS (2002)

Article Computer Science, Artificial Intelligence

Synapses as dynamic memory buffers

W Maass et al.

NEURAL NETWORKS (2002)

Article Computer Science, Artificial Intelligence

Intrinsic stabilization of output rates by spike-based Hebbian learning

R Kempter et al.

NEURAL COMPUTATION (2001)

Article Multidisciplinary Sciences

A cellular mechanism of reward-related learning

JNJ Reynolds et al.

NATURE (2001)

Review Neurosciences

Synaptic plasticity: taming the beast

L. F. Abbott et al.

NATURE NEUROSCIENCE (2000)

Review Neurosciences

Is heterosynaptic modulation essential for stabilizing Hebbian plasticity and memory?

CH Bailey et al.

NATURE REVIEWS NEUROSCIENCE (2000)

Article Multidisciplinary Sciences

A neuronal analogue of state-dependent learning

DE Shulz et al.

NATURE (2000)