Eyal Seidemann

This study measures contrast-encoding in macaque V1 using Gaussian stimuli across a wide contrast range, finding that neural responses continue to increase beyond 100% Weber contrast.

The paper analyzes subthreshold variability in neuronal models under different levels of synaptic synchrony, finding that asynchronous states require restricted synapses for realistic variability, while dense inputs need weak synchrony.

This study investigates how similarity masking affects V1 responses in macaques, finding initial enhancement followed by suppression and proposing a model to explain these dynamics.

The paper develops a delayed normalization model to capture nonlinear neural dynamics in macaque and human V1 across different measurement techniques, finding that responses are near-additive in time.

The paper investigates how much choice-related variability in perceptual decisions originates from early sensory cortex by analyzing neural responses in V1 during a visual detection task.

The paper tests if low-power optogenetic stimulation in primate V1 can mimic visual masking effects, finding it reduces detection sensitivity and shows spatial selectivity.

This paper demonstrates an optical brain-computer interface (oBCI) using dendritic calcium signals from rhesus macaques during motor tasks, achieving stable decoding of movement direction.

The paper compares human and macaque detection performance in natural backgrounds with neural responses in V1, finding quantitative agreement and support for population decoding.