Wolf Singer

The functional role of oscillatory dynamics of neocortical circuits: a computational perspective

This paper introduces HORNs, oscillatory recurrent networks that outperform non-oscillatory architectures in learning speed, noise tolerance, and parameter efficiency, and reproduce features of neuronal systems.

Paying attention to natural scenes in area V1

The paper shows attention enhances decoding of natural scenes in V1 by aligning with low-dimensional subspaces of natural stimuli, but not synthetic ones.

Dynamic Fading Memory and Expectancy Effects in Monkey Primary Visual Cortex

The paper investigates the role of monkey primary visual cortex in working memory using recordings during a delayed match-to-sample task, finding that V1 maintains a fading trace of the sample stimulus and that test responses depend on probabilistic contingencies.

Dynamic signatures of the Eureka effect: An EEG study

This study investigates the neural dynamics of the Eureka effect using EEG, finding increased alpha and theta band coherence in the right hemisphere associated with problem-solving.

Visual exposure enhances stimulus encoding and persistence in primary cortex

The paper shows that visual exposure enhances stimulus encoding and persistence in primary visual cortex by reducing neuronal selectivity and increasing response range, leading to better stimulus reconstruction.

Perceptual phenotypes: Perceptual gains and losses in synesthesia and schizophrenia

This study compares perceptual thresholds in schizophrenia patients, synesthetes, and controls to explore differences in how sensory evidence and prior knowledge influence perception.

Predictive coding of natural images by V1 activity revealed by self-supervised deep neural networks

The paper uses self-supervised deep neural networks to study how V1 activity predicts natural images, finding distinct roles for synchronization and firing rates in predictive coding.

Spontaneous variability in gamma dynamics described by a linear harmonic oscillator driven by noise

The paper analyzes gamma oscillations in macaque V1, showing they can be modeled by a linear harmonic oscillator driven by noise, capturing amplitude-duration correlations and other features.

Why not record from every electrode with a CMOS scanning probe?

This paper introduces a high-density CMOS scanning probe for neural recording, demonstrating its ability to capture neural activity across multiple brain regions with improved resolution compared to lower density devices.

A distinct class of bursting neurons with strong gamma synchronization and stimulus selectivity in monkey V1

The paper identifies a distinct class of bursting neurons in monkey V1 that show strong gamma synchronization and stimulus selectivity, suggesting a role in encoding visual information.

Surface color and predictability determine contextual modulation of V1 firing and gamma oscillations

The paper shows that surface color and predictability modulate V1 firing rates and gamma oscillations, with synchrony indicating predictability from spatial context.

Stimulus content shapes cortical response statistics

The paper shows that stimulus-specific spike count correlations in V1 are shaped by feedback interactions and high-order stimulus structure, independent of response means.

Untangling cross-frequency coupling in neuroscience

This paper identifies methodological issues in cross-frequency coupling analysis and offers recommendations to improve its interpretability without solving all problems.