about
Optimal learning rules for discrete synapsesState based model of long-term potentiation and synaptic tagging and captureMeasuring symmetry, asymmetry and randomness in neural network connectivity.Energy Efficient Sparse Connectivity from Imbalanced Synaptic Plasticity RulesSloppiness in spontaneously active neuronal networks.Stability of Neuronal Networks with Homeostatic Regulation.Investigating the functional interaction between semantic and episodic memory: convergent behavioral and electrophysiological evidence for the role of familiarity.Integrating Hebbian and homeostatic plasticity: the current state of the field and future research directions.Independent theta phase coding accounts for CA1 population sequences and enables flexible remapping.Functional consequences of pre- and postsynaptic expression of synaptic plasticity.A unified account of tilt illusions, association fields, and contour detection based on elastica.Cellular mechanisms underlying behavioral state-dependent bidirectional modulation of motor cortex output.Memory retention and spike-timing-dependent plasticity.Probabilistic inference of short-term synaptic plasticity in neocortical microcircuits.The effect of neural adaptation on population coding accuracy.Flexible theta sequence compression mediated via phase precessing interneurons.Noise promotes independent control of gamma oscillations and grid firing within recurrent attractor networks.Unified pre- and postsynaptic long-term plasticity enables reliable and flexible learningSystematic analysis of the contributions of stochastic voltage gated channels to neuronal noise.Correction: Unified pre- and postsynaptic long-term plasticity enables reliable and flexible learning.Homeostasis of intrinsic excitability in hippocampal neurones: dynamics and mechanism of the response to chronic depolarization.Effects of noise on the spike timing precision of retinal ganglion cells.Decoding spiking activity in V4, but not V1, correlates with behavioural performance in perceptual learning task.A model of hippocampal cell assembly dynamics based on single-cell theta phase precession.Probabilistic inference of synaptic dynamics in neocortical microcircuits.Impact of noise on theta-nested gamma oscillations in a spiking continuous attractor model of grid cells.Optimal information encoding for multiple, simultaneously presented stimuli.Feedback inhibition enables θ-nested γ oscillations and grid firing fields.Modelling phase precession in the hippocampus.Adaptive integration in the visual cortex by depressing recurrent cortical circuits.The optimal synapse for sparse, binary signals in the rod pathway.Accurate multiplication with noisy spiking neurons.Fast propagation of firing rates through layered networks of noisy neurons.The transient precision of integrate and fire neurons: effect of background activity and noise.A novel spike distance.Dynamics and robustness of familiarity memory.Recurrent networks with short term synaptic depression.A single-trace dual-process model of episodic memory: a novel computational account of familiarity and recollection.Extraction of Synaptic Input Properties in Vivo.Dendritic spine dynamics regulate the long-term stability of synaptic plasticity.
P50
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P50
description
hulumtues
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researcher
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wetenschapper
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հետազոտող
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name
Mark Van Rossum
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Mark Van Rossum
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Mark Van Rossum
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Mark Van Rossum
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Mark Van Rossum
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type
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Mark Van Rossum
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Mark Van Rossum
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Mark Van Rossum
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Mark Van Rossum
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Mark Van Rossum
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prefLabel
Mark Van Rossum
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Mark Van Rossum
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Mark Van Rossum
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Mark Van Rossum
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Mark Van Rossum
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P106
P1153
35276202800
P21
P2456
P31
P496
0000-0001-6525-6814