Strong attentional modulation of V1/V2 activity implements a robust, contrast-invariant control mechanism for selective information processing
When selective attention is devoted to one of multiple stimuli within receptive fields of neurons in visual area V4, cells respond as if only the attended stimulus was present. The underlying neural mechanisms are still debated, but computational studies suggest that a small rate advantage for neural populations passing the attended signal to V4 suffices to establish such selective processing. We challenged this theory by pairing stimuli with different luminance contrasts, such that attention on a weak target stimulus would have to overcome a large activation difference to a strong distracter. In this situation we found unexpectedly large attentional target facilitation in macaque V1/V2 which far surpasses known magnitudes of attentional modulation. Target facilitation scales with contrast difference and combines with distracter suppression to achieve the required rate advantage. These effects can be explained by a contrast-independent attentional control mechanism with excitatory centre and suppressive surround targeting divisive normalization units.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Cross-Modal Contrastive Learning for Text-to-Image Generation
The output of text-to-image synthesis systems should be coherent, clear, photo-realistic scenes with high semantic fidelity to their conditioned text descriptions. Our Cross-Modal Contrastive Generative Adversarial Netwo…
Contrastive LearningGenerative Adversarial NetworkImage GenerationText to Image Generation+1A State-Space Model for Decoding Auditory Attentional Modulation from MEG in a Competing-Speaker Environment
Humans are able to segregate auditory objects in a complex acoustic scene, through an interplay of bottom-up feature extraction and top-down selective attention in the brain. The detailed mechanism underlying this proces…
DecoderAction-modulated midbrain dopamine activity arises from distributed control policies
Animal behavior is driven by multiple brain regions working in parallel with distinct control policies. We present a biologically plausible model of off-policy reinforcement learning in the basal ganglia, which enables l…
Q-Learningreinforcement-learningReinforcement Learning (RL)EEG in the classroom: Synchronised neural recordings during video presentation
We performed simultaneous recordings of electroencephalography (EEG) from multiple students in a classroom, and measured the inter-subject correlation (ISC) of activity evoked by a common video stimulus. The neural relia…
EEGElectroencephalogram (EEG)Gap junctions and synchronization clusters in the Thalamic Reticular Nuclei
The Thalamic Reticular Nuclei (TRN) mediate processes like attentional modulation, sensory gating and sleep spindles. The GABAergic inter neurons in the TRN are know to exhibit widespread synchronized activity patterns. …
Clustering