SummaryHumans are able to efficiently learn and remember complex visual patterns after only a few seconds of exposure [1]. At a cellular level, such learning is thought to involve changes in synaptic efficacy, which have been linked to the precise timing of action potentials relative to synaptic inputs [2–4]. Previous experiments have tapped into the timing of neural spiking events by using repeated asynchronous presentation of visual stimuli to induce changes in both the tuning properties of visual neurons and the perception of simple stimulus attributes [5, 6]. Here we used a similar approach to investigate potential mechanisms underlying the perceptual learning of face identity, a high-level stimulus property based on the spatial configu...
Humans can reliably recognize faces across viewpoints. Although suboptimal, their performance is qui...
We examined how the perception of face identity was influenced by prior exposure to a different face...
Humans can often recognize faces across viewpoints despite the large changes in low-level image prop...
SummaryHumans are able to efficiently learn and remember complex visual patterns after only a few se...
1. Introduction – Temporal constraints imposed by both psychophysical and electrophysiological data ...
AbstractThe relative timing of presynaptic and postsynaptic spikes plays a critical role in activity...
The short response latencies of face selective neurons in the inferotemporal cortex impose major con...
Several recent demonstrations using visual adaptation have revealed high-level aftereffects for comp...
Establishing consistent relationships between neural activity and behavior is a challenge in human c...
In this review, we describe our recent attempts to model the neural correlates of visual perception ...
We review here our recent attempts to model the neural correlates of visual perception with biologic...
1. Synaptic plasticity is thought to underlie learning and memory formation in the brain. However, h...
International audienceSpike timing dependent plasticity (STDP) is a learning rule that modifies syna...
Psychological models suggest that perceptual similarity can be divided into geometric effects, such ...
We see the world as it unfolds in both space and time. Neuroscience research so far, however, has la...
Humans can reliably recognize faces across viewpoints. Although suboptimal, their performance is qui...
We examined how the perception of face identity was influenced by prior exposure to a different face...
Humans can often recognize faces across viewpoints despite the large changes in low-level image prop...
SummaryHumans are able to efficiently learn and remember complex visual patterns after only a few se...
1. Introduction – Temporal constraints imposed by both psychophysical and electrophysiological data ...
AbstractThe relative timing of presynaptic and postsynaptic spikes plays a critical role in activity...
The short response latencies of face selective neurons in the inferotemporal cortex impose major con...
Several recent demonstrations using visual adaptation have revealed high-level aftereffects for comp...
Establishing consistent relationships between neural activity and behavior is a challenge in human c...
In this review, we describe our recent attempts to model the neural correlates of visual perception ...
We review here our recent attempts to model the neural correlates of visual perception with biologic...
1. Synaptic plasticity is thought to underlie learning and memory formation in the brain. However, h...
International audienceSpike timing dependent plasticity (STDP) is a learning rule that modifies syna...
Psychological models suggest that perceptual similarity can be divided into geometric effects, such ...
We see the world as it unfolds in both space and time. Neuroscience research so far, however, has la...
Humans can reliably recognize faces across viewpoints. Although suboptimal, their performance is qui...
We examined how the perception of face identity was influenced by prior exposure to a different face...
Humans can often recognize faces across viewpoints despite the large changes in low-level image prop...