Prof. György Buzsáki has published more than 300 papers and is among the top 1% most-cited neuroscientists. Prof. 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 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.
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
I joined the Buzsaki lab with a background in Electrical Engineering and Electronic Devices. I received my PhD in Organic Electronics from Ecole Polytechnique, France. My current research interest and focus is on the interactions of external electromagnetic fields with the brain.
I am neurophysiologist and I am interested in the generation of oscillations, with special emphasis on their cellular substrate, synaptic rules, and cognitive outcomes. During my PhD in Menéndez de la Prida lab I combined silicon probes together with single-cell recordings in vivo to unveil the columnar organization of the CA1 circuitry during hippocampal sharp-wave ripples, as well as to disclose the mechanisms for the cell-selective firing during SPW-Rs.
Visit my website to see my publications and CV.
When I entered science world, I was strongly impressed by the mysterious neural universal. The deeper I know about it, the more I can’t get out of this world. In my opinion, the whole neural world is very similar with human society, but much more stable than us. I believe there is a universal rule to run the whole neural world and supervise every neuron, which is the characteristic brain spread EEG-oscillation during distinctive animal behavior. However, what group of neurons makes rules? How the rules dominate other neurons and how these separated regions communicate with these rules? The most details of these questions remain unknown. I am here to try to answer these questions.
Transcranial electrical stimulation is a popular method to boost memory or treat neuropsychiatric diseases, but we still don’t completely understand how neurons can respond to externally induced electric fields. As an MD, I am trying to focus on how the findings of basic research can be utilized in clinical applications. I use high-density extracellular recordings in rodents and EEG in humans during stimulation.
I completed my BS-MS from BITS Pilani, India, and graduated in 2019 with a PhD from Stefan Leutgeb’s lab from the University of California, San Diego. During my PhD I worked on understanding how circuits within the medial septum generate theta oscillations, and whether local networks within the medial entorhinal cortex contribute towards the functional firing properties of cell types. I am interested in a broad range of questions, with the goal of further understanding how different regions within the brain interact and communicate with each other to give rise to coherent perceptions and memories.
I am a PGY-5 resident in the Department of Neurosurgery at NYU. My clinical and research interests are in epilepsy and functional neurosurgery. I received my MD from Harvard Medical School through the Harvard-MIT Division of Health Sciences and Technology where I completed my MD thesis in the Cash Lab, analyzing microelectrode recordings in individuals with epilepsy. I am interested in understanding the properties that predispose normal neural networks to abnormal function, particularly in epileptogenic regions of the brain.
Having a strong background in physics, mathematics and programming, I entered into the field of the Neuroscience for my PhD to combine math and biology for studying the mechanism of learning and memory in the brain. My goal is to understand hippocampal and cortical circuit dynamics underlying learning and memory using various experimental and computational methods.
My core interest are the brain mechanisms that enable the integration of new, unique experiences into a framework of preexisting knowledge and allow us to form an abstract, internal model of the world. This fascination has developed over the course of my training to become an MD and subsequent studies
to obtain a PhD in Biology at the University of Freiburg, Germany. In my previous research, I have applied a broad range of techniques, including patch-clamp recordings, electron microscopy and two-photon imaging of the mouse hippocampus in virtual environments to investigate the mechanisms that
allow the representation and storage of abstract information in hippocampal networks. Currently, I perform high-density electrophysiological recordings to investigate learning-related changes of single-cell activity and synaptic connectivity in the hippocampus.
Anna is our lab manager and keeps the lab running smoothly. She is an experiences scientist with a bachelor degree in biology. Daily she is managing grants, maintaining and keeping our animal protocols up to date, handles purchases, and assists with histology and animal handling.
Kathryn attended college at UC Berkeley, studying math and physics. Now, during her PhD she works on developing quantitative models of information coding in the hippocampus. She is interested in how information is combined to formulate memories and enable learning.
Short term plasticity affects the types of signals that can propagate through the synapse. For this reason, the preponderance of one subtype of short term plasticity (e.g., facilitation) is likely to constrain the neural dynamics that can emerge (e.g., LFP, cell sequences). I am currently working with existing lab data sets in order to map the short term plasticity dynamics across different states and brain regions. The long-term goal of the project is to increase our understanding of how short term plasticity affects emergent neural dynamics and, ultimately, neural computations.
I am an MD/PhD student with an interest in neural circuitry. I have been trained in peripheral nerve stimulation, various rodent brain imaging techniques, and slice electrophysiology. My current interests are in the hippocampal circuits involved in memory processing, storage, and retrieval and how theses circuits are disrupted in various neuropsychiatric disorders.
Laura is a graduate student in the lab, co-advised by John Rinzel. She completed her undergraduate degree in Integrated Science at McMaster University. She is interested in computational models of neural circuits and using these models to understand how we form memories.
Yingxi is an undergraduate student studying Neuroscience at New York University. She is interested in how the complex neuronal information is decomposed and packaged by the hierarchy of brain oscillations, as well as how the downstream reader networks interpret the information. She is now working with Kathryn on computational models of the hippocampus.
Jolin is an undergraduate student at New York University, studying neuroscience. She is interested in understanding how electromagnetic stimulation affects the brain and also in understanding the process of memory formation in the hippocampus.
I am an undergraduate student studying neuroscience and mathematics at NYU. My interest is in the fundamental learning rules in the hippocampus and using mathematical models to describe them. Now I am serving as a research assistant in the lab and am working with postdoctoral fellow Sam McKenzie.