Emergence of complex computational structures from chaotic neural networks through reward-modulated Hebbian learning.
about
Hierarchical process memory: memory as an integral component of information processing.Selection of cortical dynamics for motor behaviour by the basal gangliaToward an Integration of Deep Learning and NeuroscienceNeuromodulatory adaptive combination of correlation-based learning in cerebellum and reward-based learning in basal ganglia for goal-directed behavior control.How attention can create synaptic tags for the learning of working memories in sequential tasks.Complex Learning in Bio-plausible Memristive NetworksReward-Modulated Hebbian Plasticity as Leverage for Partially Embodied Control in Compliant RoboticsBuilding functional networks of spiking model neurons.Task-oriented interventions for children with developmental co-ordination disorder.Reward-based training of recurrent neural networks for cognitive and value-based tasksDistributed representations of action sequences in anterior cingulate cortex: A recurrent neural network approach.RM-SORN: a reward-modulated self-organizing recurrent neural network.Biologically plausible learning in recurrent neural networks reproduces neural dynamics observed during cognitive tasks.History-dependent variability in population dynamics during evidence accumulation in cortex.Predicting non-linear dynamics by stable local learning in a recurrent spiking neural network.Rich spectrum of neural field dynamics in the presence of short-term synaptic depression.Driving reservoir models with oscillations: a solution to the extreme structural sensitivity of chaotic networks.Local Dynamics in Trained Recurrent Neural Networks.Input-anticipating critical reservoirs show power law forgetting of unexpected input events.A Knowledge-Based Arrangement of Prototypical Neural Representation Prior to Experience Contributes to Selectivity in Upcoming Knowledge Acquisition.Flexibility in motor timing constrains the topology and dynamics of pattern generator circuits.Synchronization transition in neuronal networks composed of chaotic or non-chaotic oscillators.Incremental Embodied Chaotic Exploration of Self-Organized Motor Behaviors with Proprioceptor AdaptationLearning recurrent dynamics in spiking networks
P2860
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P2860
Emergence of complex computational structures from chaotic neural networks through reward-modulated Hebbian learning.
description
2012 nî lūn-bûn
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2012年の論文
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2012年学术文章
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2012年学术文章
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2012年学术文章
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2012年学术文章
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2012年学术文章
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2012年學術文章
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2012年學術文章
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name
Emergence of complex computati ...... rd-modulated Hebbian learning.
@en
Emergence of complex computati ...... rd-modulated Hebbian learning.
@nl
type
label
Emergence of complex computati ...... rd-modulated Hebbian learning.
@en
Emergence of complex computati ...... rd-modulated Hebbian learning.
@nl
prefLabel
Emergence of complex computati ...... rd-modulated Hebbian learning.
@en
Emergence of complex computati ...... rd-modulated Hebbian learning.
@nl
P2860
P356
P1433
P1476
Emergence of complex computati ...... rd-modulated Hebbian learning.
@en
P2093
Gregor M Hoerzer
P2860
P304
P356
10.1093/CERCOR/BHS348
P577
2012-11-11T00:00:00Z