Neuroscience Graduate Program

Anderson, Garret, Ph.D.

Phone: 951-827-5849 garret.anderson@ucr.edu

Andersen, G. John Ph.D.

Phone: 951-827-4383,
Fax: 951-827-3985
andersen@ucr.edu

Phone: 951-827-2546            ilana.bennett@ucr.edu

Phone: 951-827-2392,
Fax: 951-827-3985
curt@ucr.edu
http://locutus.ucr.edu/

Left and right hemisphere contributions to language comprehension in the normal brain; neural bases of word meaning interpretation; mechanisms of cerebral hemispheric interaction.

Phone: 951-827-2560,
Fax: 951-827-3087
juncho@ucr.edu 

To understand hypothalamic and pituitary regulation of reproductive function and fertility. Elucidating how the neuroendocrine cell in the hypothalamus integrates the panoply of metabolic cues, food intake, stress, peripheral hormonal signals and environmental insults, to regulate development, puberty and reproductive cycle that are necessary for the survival of the species.

Phone: 951-827-3560,
Fax: 951-827-3087  Sachiko.yamanaka@ucr.edu

Hormones and pheromones: Internal and external control of animal behaviors. We focus on the mouse vomeronasal sensory system that detects and discriminates specific molecular cues provided as pheromones. Neurons in the brain that respond to pheromone signals express a variety of hormone receptors, suggesting a potential mechanistic link between the pheromone-processing circuitry and endocrine hormones. Using an in vitro cell culture system and in vivo mouse models, our lab aims to elucidate how the brain controls behavior through integration of external sensory signals and internal hormonal state.

Professor and Chair, Department of Bioengineering

Phone: 951-827-2925         Fax: 951-827-6416         xiaoping.hu@ucr.edu

Neurodevelopmental trajectories of emotion understanding in typically developing children and youth with dysregulated emotions, including children with disruptive behavior problems and those with social anxiety. Variation in maternal parenting and links with mechanisms of risk for atypical socioemotional functioning in early childhood. 

Phone: 951-827-4267,
jernej.murn@ucr.edu

mpeters@engr.ucr.edu

We combine neuroimaging (fMRI, EEG, ECoG), computational modeling, brain stimulation (TMS, tDCS). and machine learning to understand how perception, awareness/consciousness, and computations of uncertainty are accomplished in humans and animals.

Our research focus is to determine how connectivity and modulation of inhibitory circuits shapes emergent network behavior in the normal brain and in diseases. Our work combines slice and in vivo electro- and opto-physiology with computational modeling of networks to gain an in depth understanding of how inhibitory neuronal circuits, neuro-immune interactions and adult neurogenesis contribute to epilepsy and behavioral deficits after brain injury and prolonged seizures.

Phone: 951-827-5625
Fax: 951-827-3985 glenn.stanley@ucr.edu

Using high field animal MRI to investigate CNS neurodegeneration, inflammation, and demyelination to better understand Multiple Sclerosis and Alzheimer's Disease. Especially interested in characterizing the functional and structural profiles of degeneration in the visual system.

Dr. Tiwari-Woodruff’s laboratory research is focused on understanding the molecular events involved in neurodegeneration and neuroprotection of the demyelinating central nervous system.

Phone: 951-827-3897    jon.willits@ucr.edu

Computational Neuroscience, Neuro-Cognitive Development, Computational Models and Behavior Experiments of Human Learning and Memory.

Phone: 951-827-5269
Fax 951-827-3985
rachelw@ucr.edu

Assistant Professor, Department of Molecular, Cell & Systems Biology

Phone: 951-827-5414 hongdian@ucr.edu  www.hyanglab.com

We employ multi-disciplinary approaches, including state-of-the-art in vivo electrophysiology and calcium imaging, optogenetics, mouse behavior, computational modeling and theory, to link cellular-level physiology to circuit dynamics and network analysis in behaving animals, with the ultimate goal to understand the organizational principles of neuronal ensembles and the basis of information processing by single neurons and neural circuits in health and disease.

Capacity and precision of visual perception, attention, and memory; Hierarchical Representations in visual memory; Feature-based attention; Cognitive modeling; ERPs; Transcranial Electrical Stimulation.