Christopher C. Pack

The paper investigates how training curriculum affects generalization in visual learning using human experiments and neural networks, finding that easy-to-hard sequences improve performance through low-dimensional neural representations.

The paper investigates decision-related signals in primate visual cortex using LFPs, finding that high-frequency LFPs correlate with decisions and are causally involved, while lower frequencies reflect non-causal feedback and trial history.

This study analyzes 59 macaque studies to assess factors influencing choice probability, finding consistent patterns across tasks and regions with exceptions in bistable percepts and area V1.

The paper investigates how inactivating primate area V4 affects visual learning, finding that simpler perceptual readouts are favored over optimal information extraction.

The paper investigates how brain stimulation affects long-range projections in non-human primates and finds that these projections are more strongly influenced by stimulation than other cells.

This study investigates how microsaccades prevent perceptual filling-in during fixation, finding that color contrast and retinal eccentricity affect this process differently.

The paper investigates corticocortical feedback in the primate visual pathway, finding that inhibitory feedback is more common between neurons with different stimulus preferences and stronger suppression between similar ones.

This study shows temporal interference stimulation alters spiking timing in non-human primates but is less effective than other non-invasive methods.

The paper shows that choice probability in primate visual cortex reflects movement selection rather than direct decision causation, using a visual motion discrimination task.

This study shows that perceptual learning in humans is biased by cortical asymmetries, with suboptimal learning strategies observed when training on motion stimuli with asymmetric representations.

This study investigates how abrupt visual learning in adults is supported by long-range cortical synchronization between inferotemporal and prefrontal cortices.

This study uses MEG to track perisaccadic visual signals, revealing beta-band activity propagating from parietal to visual cortex, indicating remapping of visual signals during eye movements.

This study shows that tACS competes with endogenous brain oscillations to control spike timing, with its effect depending on the relative strength of stimulation and neural entrainment.

A 3D ResNet trained to estimate an agent's own motion from simulated visual input predicts selectivity of primate dorsal-stream neurons, whereas action-recognition networks on naturalistic video do not.

Training a two-pathway deep neural network with a single self-supervised predictive loss function models both dorsal and ventral pathways of mouse visual cortex and outperforms competing models.

This study shows that visual perceptual learning transfers fully between manual and oculomotor responses, suggesting it involves a generalizable decision rule.

The paper investigates direction selectivity of V3A neurons in macaques using electrophysiological recordings and finds similar levels of direction selectivity to MT neurons, with V3A showing greater selectivity for complex optic flow patterns.

This study tests whether tACS directly or indirectly affects neural activity by blocking somatosensory input, finding that neural entrainment occurs even when somatosensory pathways are blocked.

This study investigates the role of subthalamic nucleus (STN) deep brain stimulation (DBS) in anti-saccade behavior in Parkinson’s disease patients, finding STN DBS increases error rates and interacts with dopamine therapy.

This study investigates how stimulus complexity affects the specificity of visual perceptual learning and finds that more complex stimuli reduce specificity by increasing spatial integration.

The paper introduces an open-source software suite for analyzing and managing invasive neurophysiology data, enhancing reproducibility and transparency in electrophysiology research.

The paper tests the stabilized supralinear network model in the MT area of macaque visual cortex, finding similar modulatory effects as observed in V1 for motion direction stimuli.

This study shows that the contribution of area MT to motion perception changes based on training, with neural readouts shifting between MT and lower-level areas.