A5023431990- Face Recognition and Perception
- Neural dynamics and brain function
- Visual perception and processing mechanisms
- Visual Attention and Saliency Detection
- Functional Brain Connectivity Studies
- Face recognition and analysis
- Primate Behavior and Ecology
- Cell Image Analysis Techniques
- Advanced MRI Techniques and Applications
- Advanced Memory and Neural Computing
- Neuroscience and Neural Engineering
- Olfactory and Sensory Function Studies
- Ultrasound and Hyperthermia Applications
- Neural Networks and Applications
- Photoacoustic and Ultrasonic Imaging
- Photoreceptor and optogenetics research
- Neurobiology and Insect Physiology Research
- Ultrasound and Cavitation Phenomena
- Generative Adversarial Networks and Image Synthesis
- Advanced Neuroimaging Techniques and Applications
- Color Science and Applications
- Neural Networks and Reservoir Computing
- Memory and Neural Mechanisms
- Reinforcement Learning in Robotics
- Evolutionary Psychology and Human Behavior
University of California, Berkeley
2022-2024
Howard Hughes Medical Institute
2013-2024
California Institute of Technology
2014-2024
Berkeley College
2023
Biological E (India)
2020-2021
Mathematical Systems & Solutions (United States)
2020
University of Surrey
2020
Instituto de Ciencias Agrarias
2020
Neural Analytics (United States)
2020
Harvard University
1997-2013
Face perception is a skill crucial to primates. In both humans and macaque monkeys, functional magnetic resonance imaging (fMRI) reveals system of cortical regions that show increased blood flow when the subject views images faces, compared with objects. However, stimulus selectivity single neurons within these fMRI-identified has not been studied. We used fMRI identify target largest face-selective region in two macaques for single-unit recording. Almost all (97%) visually responsive this...
Primates can recognize faces across a range of viewing conditions. Representations individual identity should thus exist that are invariant to accidental image transformations like view direction. We targeted the recently discovered face-processing network macaque monkey consists six interconnected face-selective regions and recorded from two middle patches (ML, lateral, MF, fundus) anterior (AL, AM, medial). found anatomical position face patch was associated with unique functional...
Face recognition is of central importance for primate social behavior. In both humans and macaques, the visual analysis faces supported by a set specialized face areas. The precise organization these areas correspondence between individual macaque human face-selective are debated. Here, we examined regions across temporal lobe in large number subjects. Macaques showed 6 cortex arranged stereotypical pattern along lobe. Human subjects showed, addition to 3 reported (the occipital, fusiform,...
The brain processes objects through a series of regions along the ventral visual pathway, but circuitry subserving analysis specific complex forms remains unknown. One form category, faces, selectively activates six patches cortex in macaque pathway. To identify connectivity these face patches, we used electrical microstimulation combined with simultaneous functional magnetic resonance imaging. Stimulation each four targeted produced strong activation, specifically within subset other...
Non-human primate neuroimaging is a rapidly growing area of research that promises to transform and scale translational cross-species comparative neuroscience. Unfortunately, the technological methodological advances past two decades have outpaced accrual data, which particularly challenging given relatively few centers necessary facilities capabilities. The PRIMatE Data Exchange (PRIME-DE) addresses this challenge by aggregating independently acquired non-human magnetic resonance imaging...
Abstract In order to better understand how the brain perceives faces, it is important know what objective drives learning in ventral visual stream. To answer this question, we model neural responses faces macaque inferotemporal (IT) cortex with a deep self-supervised generative model, β -VAE, which disentangles sensory data into interpretable latent factors, such as gender or age. Our results demonstrate strong correspondence between factors discovered by -VAE and those coded single IT...
Abstract High-density, integrated silicon electrodes have begun to transform systems neuroscience, by enabling large-scale neural population recordings with single cell resolution. Existing technologies, however, provided limited functionality in nonhuman primate species such as macaques, which offer close models of human cognition and behavior. Here, we report the design, fabrication, performance Neuropixels 1.0-NHP, a high channel count linear electrode array designed enable simultaneous...
It has been only a decade since functional magnetic resonance imaging (fMRI) was introduced, but approximately four fMRI papers are now published every working day. Here we review this progress in well studied system: primate visual cortex. ### From pseudocolor to action potentials, and back One
Multivariate pattern analysis (MVPA) of fMRI data has become an important technique for cognitive neuroscientists in recent years; however, the relationship between MVPA and underlying neural population activity remains unexamined. Here, we performed single-unit same species, macaque monkey. Facial recognition is subserved by a well characterized system cortical patches, which provided test bed our comparison. We showed that information about face viewpoint was readily accessible with from...