NECO 2007 - PDF Preprint Papers

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NECO
2007

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Reinforcement Learning Through Modulation of Spike-Timing-Dependent Synaptic Plasticity

13 years 12 months ago

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The persistent modiﬁcation of synaptic efﬁcacy as a function of the relative timing of pre- and postsynaptic spikes is a phenomenon known as spiketiming-dependent plasticity (...

Razvan V. Florian

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Id	Views	Title	Status

1	258	Reinforcement Learning Through Modulation of Spike-Timing-Dependent Synaptic Plasticity	claim
2	152	3D Periodic Human Motion Reconstruction from 2D Motion Sequences	claim
3	150	Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule	claim
4	129	Variational Bayes Solution of Linear Neural Networks and Its Generalization Performance	claim
5	127	Visual Recognition and Inference Using Dynamic Overcomplete Sparse Learning	claim
6	115	Training Recurrent Networks by Evolino	claim
7	112	Distortion of Neural Signals by Spike Coding	claim
8	110	Exact Simulation of Integrate-and-Fire Models with Exponential Currents	claim
9	108	Spike-Frequency Adapting Neural Ensembles: Beyond Mean Adaptation and Renewal Theories	claim
10	107	Training a Support Vector Machine in the Primal	claim
11	105	Learning the Lie Groups of Visual Invariance	claim
12	101	A Multichip Neuromorphic System for Spike-Based Visual Information Processing	claim
13	100	Feature Selection via Coalitional Game Theory	claim
14	95	Support Vector Ordinal Regression	claim
15	93	An Augmented Extended Kalman Filter Algorithm for Complex-Valued Recurrent Neural Networks	claim
16	93	Exact Inferences in a Neural Implementation of a Hidden Markov Model	claim
17	93	MISEP Method for Postnonlinear Blind Source Separation	claim
18	90	Neighborhood Property-Based Pattern Selection for Support Vector Machines	claim
19	87	Reinforcement Learning State Estimator	claim
20	84	Recurrent Cerebellar Loops Simplify Adaptive Control of Redundant and Nonlinear Motor Systems	claim
21	78	Combining Reconstruction and Discrimination with Class-Specific Sparse Coding	claim
22	76	The Astrocyte as a Gatekeeper of Synaptic Information Transfer	claim
23	74	Phase Transition and Hysteresis in an Ensemble of Stochastic Spiking Neurons	claim
24	71	Nonparametric Modeling of Neural Point Processes via Stochastic Gradient Boosting Regression	claim
25	70	Solution Methods for a New Class of Simple Model Neurons	claim
26	69	Fast Generalized Cross-Validation Algorithm for Sparse Model Learning	claim
27	68	Single Neuron Computation: From Dynamical System to Feature Detector	claim
28	68	Competition Between Synaptic Depression and Facilitation in Attractor Neural Networks	claim
29	67	Thermodynamically Equivalent Silicon Models of Voltage-Dependent Ion Channels	claim
30	65	Fast Population Coding	claim
31	65	Optimality Model of Unsupervised Spike-Timing-Dependent Plasticity: Synaptic Memory and Weight Distribution	claim
32	61	Exact Subthreshold Integration with Continuous Spike Times in Discrete-Time Neural Network Simulations	claim
33	61	On the Consistency of Bayesian Function Approximation Using Step Functions	claim
34	60	Multiplicative Updates for Nonnegative Quadratic Programming	claim
35	59	Free-Lunch Learning: Modeling Spontaneous Recovery of Memory	claim
36	59	Mean-Driven and Fluctuation-Driven Persistent Activity in Recurrent Networks	claim
37	59	Elman Backpropagation as Reinforcement for Simple Recurrent Networks	claim
38	56	Optimal Coding Predicts Attentional Modulation of Activity in Neural Systems	claim
39	56	Tight Data-Robust Bounds to Mutual Information Combining Shuffling and Model Selection Techniques	claim
40	56	Spike-Timing-Dependent Plasticity in Balanced Random Networks	claim
41	55	SVDD-Based Pattern Denoising	claim
42	53	Recursive Finite Newton Algorithm for Support Vector Regression in the Primal	claim
43	53	A Method for Selecting the Bin Size of a Time Histogram	claim
44	52	A Maximum-Likelihood Interpretation for Slow Feature Analysis	claim
45	51	Models Wagging the Dog: Are Circuits Constructed with Disparate Parameters?	claim
46	50	Invariant Global Motion Recognition in the Dorsal Visual System: A Unifying Theory	claim
47	50	Synergies Between Intrinsic and Synaptic Plasticity Mechanisms	claim
48	50	Dynamics of Nonlinear Feedback Control	claim
49	50	Input-Driven Oscillations in Networks with Excitatory and Inhibitory Neurons with Dynamic Synapses	claim
50	49	Temporal Symmetry in Primary Auditory Cortex: Implications for Cortical Connectivity	claim
51	47	Synchrony of Neuronal Oscillations Controlled by GABAergic Reversal Potentials	claim
52	43	Self-Organizing Maps with Asymmetric Neighborhood Function	claim
53	42	What Is the Optimal Architecture for Visual Information Routing?	claim

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