Events

Lecture Session – Mach 1, 2022

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10:00am – 11.00am EDT

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4:00pm – 5.00pm CET

Zoom

Max Happel

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.

 

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Lecture Session
November 30, 2021
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10:00am – 11.00am EDT

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4:00pm – 5.00pm CET

Zoom

Mike X Cohen

Mike X Cohen

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 source-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” analyses generally have the goal of taking weighted combinations of electrodes to obtain a single component, thus reducing the number of dimensions from M electrodes to 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.

 

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10:00am – 11.00am EDT

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4:00pm – 5.00pm CET

Zoom

Information Session

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)

 

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9:00am – 11.30am EDT

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3:00pm – 5.30pm CEST

Zoom

Ceremonial Inauguration

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)

 

Scientific Talks

Viola Priesemann

Self-organization and learning in neural Systems

Sean Hill

A multiscale approach to brain disorders

Metin Sitti

Wireless miniature medical robots for neurological applications

Sheena Josselyn

Making memories in mice

Register Now!

Upon registration you will be provided a confirmation e-mail with your unique join information for the event. A reminder e-mail will be sent a day prior to the event. You will be able to view the event via your mobile or desktop device.

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