Fast odor learning improves reliability of odor responses in the locust antennal lobe.
about
A model of stimulus-specific neural assemblies in the insect antennal lobeSensory representation and learning-related plasticity in mushroom body extrinsic feedback neurons of the protocerebral tractRhythm Generation and Rhythm Perception in Insects: The Evolution of Synchronous Choruses.Behavioral states, network states, and sensory response variabilityNeural Encoding of Odors during Active Sampling and in Turbulent PlumesSynaptic learning rules and sparse coding in a model sensory systemMechanisms explaining transitions between tonic and phasic firing in neuronal populations as predicted by a low dimensional firing rate modelSensory processing in the Drosophila antennal lobe increases reliability and separability of ensemble odor representationsAdaptive regulation of sparseness by feedforward inhibitionObject repetition leads to local increases in the temporal coordination of neural responses.Moving sensory adaptation beyond suppressive effects in single neuronsLearning modifies odor mixture processing to improve detection of relevant componentsTrade-off between information format and capacity in the olfactory systemUsing the structure of inhibitory networks to unravel mechanisms of spatiotemporal patterningRepetition Priming and Repetition Suppression: A Case for Enhanced Efficiency Through Neural Synchronization.Heterosynaptic plasticity prevents runaway synaptic dynamicsReliable and precise neuronal firing during sensory plasticity in superficial layers of primary somatosensory cortex.Insect olfactory coding and memory at multiple timescales.Using Biophysical Models to Understand the Effect of tDCS on Neurorehabilitation: Searching for Optimal Covariates to Enhance Poststroke Recovery.Chemosensor-driven artificial antennal lobe transient dynamics enable fast recognition and working memory.Encoding a temporally structured stimulus with a temporally structured neural representation.Self body-size perception in an insect.Circuit properties generating gamma oscillations in a network model of the olfactory bulb.A Neural Basis Computational Model of Emotional Brain for Online Visual Object Recognition
P2860
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P2860
Fast odor learning improves reliability of odor responses in the locust antennal lobe.
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
Fast odor learning improves reliability of odor responses in the locust antennal lobe.
@en
Fast odor learning improves reliability of odor responses in the locust antennal lobe.
@nl
type
label
Fast odor learning improves reliability of odor responses in the locust antennal lobe.
@en
Fast odor learning improves reliability of odor responses in the locust antennal lobe.
@nl
prefLabel
Fast odor learning improves reliability of odor responses in the locust antennal lobe.
@en
Fast odor learning improves reliability of odor responses in the locust antennal lobe.
@nl
P2093
P2860
P1433
P1476
Fast odor learning improves reliability of odor responses in the locust antennal lobe.
@en
P2093
Gilles Laurent
Mark Stopfer
Maxim Bazhenov
P2860
P304
P356
10.1016/J.NEURON.2005.03.022
P407
P577
2005-05-01T00:00:00Z