about
25th Annual Computational Neuroscience Meeting: CNS-2016Spike-based reinforcement learning in continuous state and action space: when policy gradient methods failAdaptive gain modulation in V1 explains contextual modifications during bisection learning.An algorithm for modifying neurotransmitter release probability based on pre- and postsynaptic spike timing.Spatio-temporal credit assignment in neuronal population learning.Transmitter concentration profiles in the synaptic cleft: an analytical model of release and diffusion.Spike-based decision learning of Nash equilibria in two-player gamesA normative theory of forgetting: lessons from the fruit flyHuman and machine learning in non-Markovian decision makingScale-Free Navigational Planning by Neuronal Traveling Waves.Hierarchical Novelty-Familiarity Representation in the Visual System by Modular Predictive CodingSomato-dendritic Synaptic Plasticity and Error-backpropagation in Active Dendrites.Perceptual learning via modification of cortical top-down signals.Gradient estimation in dendritic reinforcement learningProspective Coding by Spiking Neurons.Eluding oblivion with smart stochastic selection of synaptic updates.Modulating the granularity of category formation by global cortical States.The response of cortical neurons to in vivo-like input current: theory and experiment : I. Noisy inputs with stationary statistics.The response of cortical neurons to in vivo-like input current: theory and experiment: II. Time-varying and spatially distributed inputs.Modulation of orientation-selective neurons by motion: when additive, when multiplicative?Matching recall and storage in sequence learning with spiking neural networks.Neocortical pyramidal cells respond as integrate-and-fire neurons to in vivo-like input currents.Hyperpolarization-activated current Ih disconnects somatic and dendritic spike initiation zones in layer V pyramidal neurons.Top-down dendritic input increases the gain of layer 5 pyramidal neurons.Minimal models of adapted neuronal response to in vivo-like input currents.Code-specific learning rules improve action selection by populations of spiking neurons.Policy gradient rules for populations of spiking neurons.Reinforcement learning in dendritic structures.Dendritic encoding of sensory stimuli controlled by deep cortical interneurons.Dopamine increases the gain of the input-output response of rat prefrontal pyramidal neurons.A gradient learning rule for the tempotron.Learning real-world stimuli in a neural network with spike-driven synaptic dynamics.Activity-dependent development of axonal and dendritic delays, or, why synaptic transmission should be unreliable.Spike-time-dependent plasticity and heterosynaptic competition organize networks to produce long scale-free sequences of neural activity.Extending lifetime of plastic changes in the human brain.Repetitive TMS over the human oculomotor cortex: comparison of 1-Hz and theta burst stimulation.Spike-based synaptic plasticity and the emergence of direction selective simple cells: mathematical analysis.A synaptic explanation of suppression in visual cortex.Multiple time scales of temporal response in pyramidal and fast spiking cortical neurons.Spike-based synaptic plasticity and the emergence of direction selective simple cells: simulation results.
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Zwitsers onderzoeker
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հետազոտող
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Walter Senn
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Walter Senn
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Walter Senn
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Walter Senn
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Walter Senn
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