Temporal sequence learning, prediction, and control: a review of different models and their relation to biological mechanisms.
about
Adaptive, fast walking in a biped robot under neuronal control and learningThe Use of Hebbian Cell Assemblies for Nonlinear Computation.Circuit to construct mapping: a mathematical tool for assisting the diagnosis and treatment in major depressive disorderWriting memories with light-addressable reinforcement circuitry.Spike-Based Bayesian-Hebbian Learning of Temporal SequencesDopaminergic system in birdsong learning and maintenanceA Simple Aplysia-Like Spiking Neural Network to Generate Adaptive Behavior in Autonomous RobotsDistinct Eligibility Traces for LTP and LTD in Cortical Synapses.Syntactic sequencing in Hebbian cell assemblies.Neuromodulatory adaptive combination of correlation-based learning in cerebellum and reward-based learning in basal ganglia for goal-directed behavior control.Combining fMRI and behavioral measures to examine the process of human learning.Spike-based reinforcement learning in continuous state and action space: when policy gradient methods failReinforcement learning or active inference?Temporal-difference reinforcement learning with distributed representationsExperimental and computational aspects of signaling mechanisms of spike-timing-dependent plasticity.An imperfect dopaminergic error signal can drive temporal-difference learning.Depression-biased reverse plasticity rule is required for stable learning at top-down connections.Path-finding in real and simulated rats: assessing the influence of path characteristics on navigation learning.A new framework for cortico-striatal plasticity: behavioural theory meets in vitro data at the reinforcement-action interface.Individual differences and the neural representations of reward expectation and reward prediction errorA Simple Network Architecture Accounts for Diverse Reward Time Responses in Primary Visual CortexReward and neurocomputational processesMathematical properties of neuronal TD-rules and differential Hebbian learning: a comparisonDecision making in recurrent neuronal circuits.Neurocomputational models of basal ganglia function in learning, memory and choiceComputational models of reinforcement learning: the role of dopamine as a reward signal.The feeling of action tendencies: on the emotional regulation of goal-directed behaviorImplementing Signature Neural Networks with Spiking Neurons.Action understanding and active inference.Large-Scale Simulations of Plastic Neural Networks on Neuromorphic Hardware.Robots emulating children. Scientists are developing robots using biology as their inspiration. Will they succeed in building cognitive agents?Closed-Form Treatment of the Interactions between Neuronal Activity and Timing-Dependent Plasticity in Networks of Linear NeuronsPostsynaptic signal transduction models for long-term potentiation and depression.A model of human motor sequence learning explains facilitation and interference effects based on spike-timing dependent plasticity.A biologically plausible learning rule for the Infomax on recurrent neural networks.On the relation between bursts and dynamic synapse properties: a modulation-based ansatz.The role of reward in dynamic decision making.Learning to reach by reinforcement learning using a receptive field based function approximation approach with continuous actions.Associative learning of classical conditioning as an emergent property of spatially extended spiking neural circuits with synaptic plasticityFinding minimal action sequences with a simple evaluation of actions.
P2860
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P2860
Temporal sequence learning, prediction, and control: a review of different models and their relation to biological mechanisms.
description
2005 nî lūn-bûn
@nan
2005年の論文
@ja
2005年論文
@yue
2005年論文
@zh-hant
2005年論文
@zh-hk
2005年論文
@zh-mo
2005年論文
@zh-tw
2005年论文
@wuu
2005年论文
@zh
2005年论文
@zh-cn
name
Temporal sequence learning, pr ...... tion to biological mechanisms.
@ast
Temporal sequence learning, pr ...... tion to biological mechanisms.
@en
type
label
Temporal sequence learning, pr ...... tion to biological mechanisms.
@ast
Temporal sequence learning, pr ...... tion to biological mechanisms.
@en
prefLabel
Temporal sequence learning, pr ...... tion to biological mechanisms.
@ast
Temporal sequence learning, pr ...... tion to biological mechanisms.
@en
P2860
P356
P1433
P1476
Temporal sequence learning, pr ...... tion to biological mechanisms.
@en
P2093
Bernd Porr
Florentin Wörgötter
P2860
P304
P356
10.1162/0899766053011555
P577
2005-02-01T00:00:00Z