Jacob Alan Westerberg

Visual cortical dynamics supporting predictable attentional capture

The paper investigates how predictable visual stimuli influence cortical processing and attentional capture in macaques, finding distinct mechanisms for target enhancement and distractor suppression.

V1 interlaminar coherence decreases with interocular conflict

The paper examines how interocular conflict affects interlaminar coherence in macaque V1, finding that coherence decreases during binocular rivalry flash suppression even when firing rates remain unchanged.

Ubiquitous predictive processing in the spectral domain of sensory cortex

The paper tests predictive processing hypotheses in mouse visual cortex using LFPs from multi-area laminar recordings during a visual oddball task, finding that gamma, beta, and theta bands signal different types of prediction errors.

Hierarchical substrates of prediction in visual cortical spiking

This study challenges hierarchical predictive coding models by showing that prediction error responses in visual cortex do not involve feedforward processing and that predictive suppression is not mediated by inhibitory interneurons.

Conserved Laminar-Cellular Architecture Predicts the Spectrolaminar Motif

The paper identifies a conserved cellular-to-spectral rule in primate cortex that predicts the spectrolaminar motif across brain areas and validates it in schizophrenia post-mortem data.

A ubiquitous spectrolaminar motif of local field potential power across the primate cortex

The paper identifies a consistent spectrolaminar pattern of LFP power across primate cortex, showing distinct frequency gradients in superficial and deep layers.

Feedforward attentional selection in sensory cortex

The paper shows that attentional pop-out is computed in the earliest sensory response in V4, with reaction times and accuracy linked to the magnitude of this response.

Near-field potentials index local neural computations more accurately than population spiking

This study compares information content in local field potentials (LFP) and near-field LFP (nfLFP) to determine which better indexes local neural computations, finding nfLFP more informative for stimulus processing.

Cortical Contributions to Medial Frontal β-Bursts during Executive Control

The paper investigates whether cortical β-bursts are more directly linked to response inhibition than EEG β-bursts, finding they are less frequent and not synchronized with EEG signals.

Resolving the mesoscopic missing link: Biophysical modeling of EEG from cortical columns in primates

The paper models EEG from cortical columns in primates using biophysical simulations of laminar activity and shows it accurately predicts ERP components.

Laminar microcircuitry of visual cortex producing attention-associated electric fields

The paper identifies the laminar cortical circuitry in visual area V4 that generates attention-associated electric fields measurable via EEG.

Stimulus-specific information flow across the canonical cortical microcircuit

The paper uses machine learning to track stimulus-specific information flow across layers of visual cortex, confirming prior model predictions about how information is processed in the canonical cortical microcircuit.

Binocular modulation of monocular V1 neurons

The paper shows that monocular V1 neurons in all layers, including input layers, respond to both eyes, suggesting binocular processing occurs earlier than previously thought.

Adaptation of Intracortical Signaling Concurs with Enhanced Encoding Efficiency

The paper shows that stimulus repetition enhances encoding efficiency in V1 by altering intracortical signaling and increasing neural synchrony and tuning sharpness.

Binocular Integration Manifests as a Transient Spiking Increase Followed by Selective Suppression in Primary Visual Cortex

The paper investigates the temporal dynamics of binocular integration in primate V1, revealing two distinct phases: an initial transient increase in activity followed by selective suppression based on stimulus congruence.