The MPUTC Research Day, co-organized with the Collaborative Program In Neuroscience (CPIN), will take place on Friday, May 19th, 2023 in person at the U of T campus.  Registration is now open to all members of MPUTC and CPIN at CPIN&MPUTC Research Day Registration untill Wednesday, April 19th, 2023 at 11:59 PM, ET. 

Speakers:

Marcelo Wood, PhD. Professor and Chair, Department of Neurobiology and Behavior. University of California.

Dr. Wood received his BS in Chemical Engineering from the University of Colorado in Boulder. From there he changed fields to study the molecular mechanisms underlying cancer biology in the Department of Molecular Biology at Princeton University, where he received his PhD. His graduate work focused on epigenetic mechanisms of cancer biology. He then switched fields again to study the role of epigenetic mechanisms underlying long-term memory in his Postdoctoral research with Dr. Ted Abel at the University of Pennsylvania. Dr. Wood is a pioneer and at the forefront of studying cognitive neuroepigenetics. His lab currently focuses on the role of epigenetic mechanisms involved in synaptic plasticity, normal long-term memory processes, memory processes associated with drugs of abuse, and age-related memory impairments.Image The goal in the Wood lab is to understand the molecular mechanisms underlying normal long-term memory processes so that we may be able to one day develop approaches to ameliorate memory dysfunction associated with intellectual disability disorders as well as age-dependent memory impairment. In addition, because memory circuits in the brain are affected by drugs of abuse, the lab also examines memory processes associated with drugs of abuse, and how to extinguish those memories. His lab has been continuously funded by NIDA, NIA, NIMH, private foundations, and sponsored research agreements. He works closely with several industry partners to develop therapeutics based on fundamental basic research discoveries in the field. In addition, Dr. Wood has a deep commitment to training, mentorship and education, serving as Director of the NIDA T32 Training Program in Substance Use and Use Disorders, Founding Director of the UC Irvine Center for Addiction Neuroscience, Steering Committee Member of the Minority Science Programs at UC Irvine, and most recently awarded an HHMI Gilliam Advisor award.

Florian Mormann, Group Leader, Lichtenberg,  Professor of Cognitive and Clinical Neurophysiology, Department of Epileptology, University of Bonn Medical Center.

Dr. Mormann’s Research Focus:
Cognitive Neurophysiology:
We are interested in the neurobiology of perception and memory. We explore neuronal behavior in the medial temporal lobe to understand how conscious percepts are transferred into episodic memory traces.

Clinical Neurophysiology:
We investigate the pathophysiological mechanisms that lead to the occurence of epileptic seizures. Our particular focus is on microscopic phenomena such as high frequency oscillations, microseizures, cellular and network behavior.

Title: Effects of Deep Brain Stimulation on Brain and Body Metabolism: New Challenges in Personalized Medicine

Abstract: Neurodegenerative disorders are an increasing global burden and therefore the major health challenge of the 21^st century. Most brain diseases are network or circuit disorders in which a certain dysfunction within a circuitry causes the development and expression of functional impairments in individual patients. Although patients may share the same signs, symptoms, or diagnoses, the underlying causal circuit changes can substantially differ from patient to patient. Considering the heterogeneity of neuropathology, disease mechanisms, and diversity of presentation, brain-circuit-based precision medicine is a cornerstone for personalized therapies for movement disorders. Deep brain stimulation (DBS) is a well-established and effective treatment option for movement disorders like Parkinson’s disease (PD), essential tremor, and dystonia. Numerous studies have demonstrated the sustained reduction of both motor and non-motor symptoms and, in particular, the consecutive improvement in quality of life in patients with PD. While the use of DBS is steadily increasing, certain target symptoms and potential side effects are persistently considered as therapeutic challenges. Very common side effects of DBS are body weight and body fat mass gain, as well as alterations in peripheral metabolism in patients with PD. Currently, our treatment strategies do not sufficiently address these treatment-specific side effects, although neuromodulation has been undergoing a revolutionary upgrading in the past decades with the focus on multidimensional data-driven approaches to achieve a higher level of individualization in therapy. Innovative and multidisciplinary approaches are needed to address these risks and side effects to prevent adverse health implications and to enable better ways of personalized medicine in the future. From the perspective of precision medicine, one of the key considerations in DBS is to select the most effective target area individually. Therefore, growing knowledge of individual DBS effects allows for better patient counseling and selection with the goal of satisfactory therapy. This talk aims to discuss the potential of stimulation-based precision medicine in movement disorders to address chances and challenges in the field of neuromodulation.

Title: Uncovering Neural Latent Dynamics with Joint Modeling of Neural Data and Behavior

Abstract: Mapping behavioral actions to neural activity is a fundamental goal of neuroscience. As our ability to record large neural and behavioral data increases, there is growing interest in modeling neural dynamics during adaptive behaviors to probe neural representations. In particular, neural latent embeddings can reveal underlying correlates of behavior, yet, we lack non-linear techniques that can explicitly and flexibly leverage joint behavior and neural data to uncover neural dynamics. Here, we fill this gap with a novel encoding method, CEBRA, that jointly uses behavioral and neural data in a (supervised) hypothesis- or (self-supervised) discovery-driven manner to produce both consistent and high-performance latent spaces. We show that consistency can be used as a metric for uncovering meaningful differences, and the inferred latents can be used for decoding. We validate its accuracy and demonstrate our tool’s utility for both calcium and electrophysiology datasets, across sensory and motor tasks, and in simple or complex behaviors across species. It allows for single and multi-session datasets to be leveraged for hypothesis testing or can be used label-free. Lastly, we show that CEBRA can be used for the mapping of space, uncovering complex kinematic features, produces consistent latent spaces across 2-photon and Neuropixels data, and can provide rapid, high-accuracy decoding of natural movies from visual cortex.

Title: Bioluminescent Optogenetics – Molecular Control with Biological Light

Abstract:  Optogenetic elements, such as channelrhodopsins, are activated in nature by sunlight, and in the laboratory generally by lasers or LEDs. However, they also respond to ‘biological light’, bioluminescence emitted when a luciferase enzyme oxidizes its small molecule luciferin. This BioLuminescent OptoGenetics (BL-OG) technology offers a highly modular and versatile approach for activating light sensing molecules. When the luciferase is tethered to an opsin in a luminescent opsin, or luminopsin (LMO), light emitted from the luciferase leads to opening of a channelrhodopsin or activation of a pump, and to a change in the cell’s membrane potential. As in BL-OG both light emitter and light sensor are genetically encoded, they can be expressed in different cells. If they are expressed in synaptically connected neurons, this Interluminescence functions as a real-time optical synapse. Biological light can be used to activate light-sensing proteins other than opsins (photoreceptors in general, including transcription factors and recombinases), and can thus be employed widely for genetic activation and protein transformation. BL-OG is being applied to the study of brain circuits and their corrective manipulation in pathological conditions.

The Max Planck-University of Toronto Centre for Neural Science and Technology (MPUTC)  offers a joint Ph.D. program between the Max Planck Society (MPG) and the University of Toronto (U of T) in the following research areas:

• Developing novel tools for observing and stimulating neural activity
• Conducting neurobiology experiments that use advance tools
• Analyzing data, creating models, and making predictions about neural activity

The MPUTC will fund U of T-registered Ph.D. students who are jointly supervised by an MPG scientist (e.g., director, group leader, senior scientist) and a U of T faculty carrying research in the above themes.

The jointly supervised Ph.D. student in selected U of T departments/graduate units will receive a stipend award with a value of up to $18,000, and the Ph.D. student’s income will be covered by a Ph.D. contract at the partner Max Planck Institute during the research phase of the Ph.D. program. The Max Planck co-supervisor will receive funding support from the MPG.

To submit a proposal for a joint Ph.D. project, please complete this MPUTC Joint Ph.D. Project Proposal template by November 30, 2022.  Successful applicants will be notified before December 16, 2022.

A virtual information session about the MPUTC joint Ph.D. program is scheduled on Friday, October 21, 2022, 11AM – 12PM (ET) / 5 – 6PM (CET).  Please register now to receive your link to the info session and reach out to max.planck@utoronto.ca if you have any questions.

Title: Episodic Memory Mechanisms in Health and Disease

Abstract: Memory is the sum of who we are. It is the bridge to our past and future. It takes a fleeting moment in our experience and allows it to last indefinitely. It stretches our consciousness over a lifetime and allows us to enjoy meaningful and fulfilling lives. Simply put, without memory, humanity as we know it could not exist. Yet, for something so essential and ubiquitous, we still know little about how it works. This talk will specifically focus on one type of memory, episodic memory, and how we can operationally define and study it using a computational or information processing approach. How does episodic memory change as we get older? What neurobiological mechanisms underlie age-related memory loss? Can we distinguish between normal age-related changes in cognition and changes related to Alzheimer’s disease? Finally, how we can use this circuit-based approach to studying cognition to better diagnose cognitive disorders?

The 2022 Neuroscience Conference, co-organized by the Collaborative Program In Neuroscience (CPIN),  Southern Ontario Neuroscience Association (SONA), and Max Planck-University of Toronto Centre (MPUTC) for Neural Science and Technology, will take place virtually on Friday, May 27, 2022.  The MPUTC Research Day will take place in conjunction with the conference.  Registration is still open to all members of SONA, MPUTC and CPIN ( Research Day & 2022 Neuroscience Conference Registration (utoronto.ca)). 

Professor May-Britt Moser, Norwegian University of Science and Technology, Norway, and Nobel Laureate, the CPIN Julius Axelrod Distinguished Visiting Neuroscientist Lecturer, will deliver the keynote lecture at the joined conference. 

May-Britt Moser is a Professor of Neuroscience and Scientific Director of the Centre for Neural Computation Scientific Co-Director of the Kavli Institute for Systems Neuroscience at the Norwegian University of Science and Technology (NTNU) in Trondheim. She is interested in the neural basis of spatial location and spatial memory as well as cognitive functions more generally. Her work, conducted with Edvard Moser as a long-term collaborator, includes the discovery of grid cells in the entorhinal cortex, as well as the identification of other functional cell types, including head direction cells, border cells, speed cells and object-vector cells, as well as recent mechanisms for representation of episodic time – findings that collectively point to the entorhinal cortex as a hub for the brain network for representation of space and experience. She has shown that this network has adult-like properties from very early age in rodents, pointing to a possible innate basis for spatial coding by the brain. With her collaborators, she is beginning to unravel how the neural microcircuit is organized at the level of interactions between large numbers of diverse neurons with known functional identity – an endeavour that is significantly boosted by the recent development of Neuropixels probes and 2-photon miniscopes for simultaneous recording of thousands of neurons in freely-moving rats and mice (the latter developed in her lab). The discovery of grid cells and the underlying population dynamics have led to a revision of established views of how the brain calculates self-position, and how such information is stored in memory, and spatial mapping and is becoming one of the first non-sensory cognitive functions to be characterized at a mechanistic level in neural networks.

May-Britt Moser received her initial training at the University of Oslo, under the supervision of Dr. Per Andersen, on the structural basis of hippocampal memory, but during the PhD training she had several longer visits to Edinburgh to work with Dr. Richard Morris at the University of Edinburgh. She also spent a month in London in the lab of John O’Keefe at University College of London to learn single unit recordings. She has been a professor at NTNU since 2000. She has received numerous awards for her work. Together with Edvard Moser and John O’Keefe, she was awarded the Nobel Prize in Physiology or Medicine in 2014.

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David Poeppel is a Professor of Psychology and Neural Science at NYU (since 2009) and the CEO of the Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society in Frankfurt Germany (since 2021).    

Trained at MIT in cognitive science, linguistics, and neuroscience, Poeppel did his post-doctoral training at the University of California San Francisco where he focused on functional brain imaging. From 1998 to 2008, he was a professor at the University of Maryland College Park, where he ran the Cognitive Neuroscience of Language laboratory.  From 2014-2021, he was the Director of the Department of Neuroscience at the Max Planck Institute for empirical Aesthetics in Frankfurt. He has been a Fellow at the Wissenschaftskolleg (Institute for Advanced Studies Berlin) and The American Academy Berlin, and a guest professor at many institutions. He is a Fellow of the American Association for the Advancement of Science.

Prof. Poeppel will deliver a presentation titled “Rhythms in Sounds and Brains“.

Title:  Neuronal circuit physiology of learning, motivation & decision making

In an ever-changing world, we need to detect, predict and behaviourally respond to important stimuli on short and longer time scales. Particularly in the vertebrate brain, neuronal circuit adaptations mainly generated by associative reinforcement learning are the fundament of remote memory formation and guided behavioural choices. In sensory learning, organisms have to extract and amplify a small number of sensory features with behavioural relevance to a particular situation.

In this context, the primary auditory cortex plays a fundamental role in auditory learning and memory, and decision making. Utilizing multichannel electrophysiology recordings of the auditory cortex in freely moving animals, we could demonstrate that not only sensory, but particularly task- and choice-related information is represented in the neuronal population code distributed across cortical layers. By optogenetic stimulation of reward circuits, we shed light on the underlying functional circuit mechanisms of dopaminergic neuromodulation, as a key element of coding prediction and surprise in the brain.

The first lecture session of the Max Planck-University of Toronto Centre for Neural Science and Technology started with Mike X Cohen, Professor at Radboud University Medical Centre.

Title: Nonorthogonal souses generally have the goal of taking weighted combinations of electrodes to obtain a single component, thus reducing the number of dimensions from M electrodes torce-separation for guided network discovery

Increases in the number of simultaneously recorded electrodes allow new discoveries about the spatiotemporal structure in the brain, but also presents new challenges for data analyses. In part this is because of difficulties in analyzing each electrode individually, but also because the spatiotemporal structure in the brain spans multiple electrodes (and, usually, levels of analysis). “Source separation” analy C components, where C<<M. In this talk, Mike X Cohen will introduce one family of source separation techniques, which is based on generalized eigendecomposition (GED). GED is highly accurate, fast, and is an optimal (and closed-form) mathematical solution to a straight forward problem. Mike X Cohen will show several use-cases in simulated and real data, and provide downloadable sample code (MATLAB and Python) that can be adapted to different datasets.

The Max Planck-University of Toronto Centre for Neural Science and Technology (MPUTC) was inaugurated in April 2021. The MPUTC will offer a joint Ph.D. program between the Max Planck Society (MPG) and the University of Toronto (U of T) in the following research areas:

• Developing novel tools for observing and stimulating neural activity
• Conducting neurobiology experiments that use advance tools
• Analyzing data, creating models, and making predictions about neural activity

The MPUTC will fund U of T-registered Ph.D. students who are jointly supervised by a MPG scientist (e.g., director, group leader, senior scientist) and a U of T faculty carrying research in the above themes.

Information Session
10:00 AM – 11:00 AM (EDT) | 4:00 PM – 5:00 PM (CET)

A new research partnership: The Max Planck – University of Toronto Centre for Neural Science & Technology, is launching with an inaugural event on Wednesday, April 14th, 2021.
Join the event to hear from the presidents at both partnering institutions, President Meric Gertler of University of Toronto and President Martin Stratmann of Max-Planck Gesellschaft as they celebrate this exciting collaboration.

Virtual Signing
9:00 AM – 9:50 AM (EDT) | 3:00 PM – 3:50 PM (CEST)

Scientific Talks
10:00 AM – 11:30 AM (EDT) | 4:00 PM – 5:30 PM (CEST)