György Buzsáki has published more than 300 papers and is among the top 1% most-cited neuroscientists. Dr. Buzsáki is a member of the National Academy of Sciences, USA, Academia Europaea, Hungarian Academy of Sciences, Fellow of the American Association for the Advancement of Science, and foreign member of the Hungarian Academy of Sciences. He sits on the editorial boards of several leading neuroscience journals.
I am interested in the development of gene-based approaches for the treatment of addiction. To this end, I am studying the effect of modulating activity in various interneuron populations during addiction-related behaviors in awake behaving rodents.
I am a neuroscientist and technologist. My work in neuroscience investigates how biological systems transform information about the external world into action policies that maximize reinforcement. I take cognition to be a byproduct of this dynamic. My recent work falls along 2 lines: system identification and design. I use 3D reconstruction techniques to quantify and analyze behavior as it relates to neural processes during learning. I also combine various camera sensors with gpgpus to enable designed systems to map environments, recognize objects, and make inferences in real-time. I’m interested in inter-disciplinary collaborations between neuroscience, medicine, robotics, computer science and mathematics.
The fundamental question I am interested in is how does the brain store and retrieve information to produce adapted behaviors based on prior experience. I joined the Buzsáki Lab in January 2012, after a PhD on neuroglial network interactions in the olfactory bulb. My initial work as a postdoctoral fellow contributed to the understanding of the cellular mechanisms involved in two types of network oscillations, fundamental to memory function in the hippocampus: theta and sharp wave ripple oscillations. My most recent study uncovers a key role played by sharp wave ripple oscillations in the maintenance of the hippocampal “cognitive map” during spatial learning. My skillset combines multi-electrode recordings and optogenetic manipulations of large neuronal ensembles in the freely moving animal.
I am interested in neural circuits, and how synaptic, cellular and network physiology interact to produce precisely timed neuronal and behavioral functions.
For my PhD thesis I combined optogenetic techniques with in vitro whole cell recordings and in vivo single unit recordings to discover novel cholinergic-GABAergic microcircuitry in the neostriatum.
I am an electrophysiologist and I am interested in neuronal networks dynamics. My current research is focused on perturbation of theta oscillations in behaving rats and its effect on spatial navigation. I have a Master of Science in Engineering Physics and did my PhD at University of Copenhagen, in the lab of Rune Berg. In my PhD I did combined high density silicon probes together with intracellular- and electroneurogram recordings from the turtle spinal cord to address the network architecture behind motor pattern generation.
Visit my website to see my publications and CV.
How do we filter out irrelevant information while storing those that are important for our survival? How is the collection of stimuli that bombard us every moment converted into life-changing experiences? And what happens in our brain when our mood swings from happiness to despair and back or our actions are entrapped by seemingly endless repetitions? All of these questions are connected to subcortical modulation, the activity of relatively small groups of brain cells with powerful influence on behavior. I aim to dive deep into the intricately complex world of subcortical modulators in order to answer the questions (and others) raised above. I record the activity of neurons simultaneously with the behavior of the animal in response to manipulations of subcortical modulatory neurons. I had done my PhD in Budapest under the supervision of Bernat Kocsis and then moved to Tamas Freund’s group. Currently, I am a Marie-Curie fellow in the Buzsaki lab. When not in the lab I try to spend as much time as possible with my wife and two kids.
I am working in neural oscillations and population coding mechanisms in behaving rodents. I use a range of experimental and computational methods to study hippocampal and cortical circuit dynamics underlying learning and memory.
My long term goals are:
- Finding general principles of information processing in cortical circuits
- Understanding the cellular mechanisms of memory guided decision making
- Developing a comprehensive approach to study neural circuit function
Yuta is a quiet Japanese man, from a quiet Japanese city, Kyoto. After getting bored with courses in medical school, he somehow decided to come to a noisy city, New York, to start his graduate school. His favorite activities in New York include going around the city as well as exploring around the “noisy” hippocampal circuits to find something beautiful and interesting, e.g. fireflies in the Central Park or mossy cells in the dentate gyrus, which help him to restore quietness in his mind.