The following labs use different Mathematical theory and computational approaches to model behavior and the function of the nervous system.
Amitai Yael Studies neuronal circuits in the mammalian neocortex with a specific focus on the membrane properties of neurons in the neocortex, the characteristics of synapses, the rules of cortical organization, and the interactions between neurons and astrocytes, the brain's supporting cells.
Aharon Bar Hillel Studies computational models of perceptual attention in humans and machines. Develops biologically inspired deep learning architectures for perception and vision problems.
Ben-Shahar Ohad Studies biological (and in particular, human) vision and machine vision from both theoretical and applied perspectives. To meet these goals, research is highly interdisciplinary, involving computational work with techniques from visual psychophysics and inquiry into visual neuroscience.
Dolev Shlomi Computation models inspired by the brain, analyzing brain activity in terms of information storing and processing.
Donchin Opher Studies motor control with behavioral, electrophysiology and neuroimaging techniques with a particular interest in understanding the function of the cerebellum.
Fleidervish Ilya Studies how molecular elements, such as voltage-gated channels, are distributed and regulated in their native environment.
Gedalin Michael Develops models of the efficient encoding of the light intensity into signals passed to brain, by the collective behavior of the retinal cell networks.
Golomb David Studies theoretical and computational neuroscience with a particular focus on the dynamics of neurons, neuronal networks and neuronal systems; the vibrissa somatosensory-motor system of rodents, and synaptic dynamics and their effect on network behavior.
Moskovitch Robert Develops novel methods for multivariate temporal data analytics, including frequent temporal patterns discovery and their use for temporal knowledge discovery, classification and prediction. Specifically in neuroscience his lab works on classifying epileptic patients, based on their history data, and on classification of mice brain cells based on their electrical activities.
Neuman Yair My fields of interest are Complex textual-symbolic, social, psychological and cognitive systems, with a specific emphasis on the development of novel research methodologies and computational models.
Nisky Ilana Applies neuroscience theories about the human sensorimotor coordination, adaptation, and learning in the development of human-operated medical and surgical robotic systems. Uses medical robots as a platform to understand the human sensorimotor system in real-life tasks like surgery.
Raviv Tammy Developes mathematical and algorithmic tools for processing and analyzing biological and medical images. Current research projects include object detection, segmentation, atlas construction, and shape analysis in high throughput microscopy and Magnetic resonance imaging (MRI) with a particular emphasis on the brain.
Shamir Maoz Studies the nature of the neural code in an effort to understand how information about external sensory stimuli or planned motor commands are represented by the activity of large neural populations. This includes research about stochastic dynamics of learning and plasticity using methods from statistical mechanics, nonlinear dynamics, theory of disordered systems, and information theory.
Shmuelof Lior Studies motor learning in humans using behavioral experiments and fMRI with a particular emphasis on learning of complex motor tasks.
Shriki Oren Studies cortical dynamics, neural coding, plasticity and learning using EEG and electric brain stimulation and are also developing new approaches to building brain-computer interfaces.
Yifrach Ofer Studies the involvement of voltage-dependent potassium channels in action potential generation, propagation and transmission.