About

While deep learning gained a lot of attraction in artificial intelligence, it also offers a new functional view of the brain and challenges biological theories of learning and synaptic plasticity.  This symposium is about exchanging ideas from both sides, biology or deep learning,  and brainstorming on new concepts.

The EPFL Neuro Symposium is organized by the Brain Mind Institute at the School of Life Sciences.

Speakers

Yoshua Bengio
University of Montreal

Deep Learning in Machines and Brains, from Synapses to Cognition

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Yoshua Bengio
University of Montreal
Surya Ganguli
Stanford University

Stanford University - Stanford-USA

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Surya Ganguli
Stanford University
Nikolaus Kriegeskorte
Columbia University

Cognitive computational neuroscience of vision

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Nikolaus Kriegeskorte
Columbia University
Pieter Roelfsema
Netherlands Institute for Neuroscience

Netherlands Institute for Neuroscience - Ams - Nethederlans

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Pieter Roelfsema
Netherlands Institute for Neuroscience
Rafal Bogacz
University of Oxford

Error driven learning in hierarchical striatal networks

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Rafal Bogacz
University of Oxford
Brea Johanni
EPFL

Deep learning without backprop in spiking neural networks

Brea Johanni
EPFL
Timothy Lillicrap
Google Deep Mind

How deep reinforcement learning can be implemented in the brain

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Timothy Lillicrap
Google Deep Mind
Nicole Rust
University of Pennsilvania

The role of deep neural networks in pinpointing the origins of cognition in brains

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Nicole Rust
University of Pennsilvania
Sue Yeon Chung
Columbia / MIT

Emergence of Separable Geometry of Object Manifolds in Deep Networks and the Brain

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Sue Yeon Chung
Columbia / MIT
Benjamin Grewe
ETHZ

Learning representations in deep brain neuronal networks

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Benjamin Grewe
ETHZ
Richard Naud
University of Ottawa

University of Ottawa - Ottawa - Canada

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Richard Naud
University of Ottawa
Dan Yamins
Stanford University

Self-supervised Learning of Visual Representations

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Dan Yamins
Stanford University
James Di Carlo
MIT

Reverse engineering human visual intelligence

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James Di Carlo
MIT
Konrad Körding
University of Pennsilvania

Inverse Deep Learning

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Konrad Körding
University of Pennsilvania
Walter Senn
University of Bern

Deriving the neuronal and synaptic dynamics from the principle of least action

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Walter Senn
University of Bern
Friedemann Zenke
FMI, CH

Credit assignment in space and time
Training spiking neural networks with surrogate gradients

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Friedemann Zenke
FMI, CH

Scientific Committee

Yoshua Bengio
University of Montreal

University of Montreal - Quebec - CA

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Yoshua Bengio
University of Montreal
Wulfram Gerstner
EPFL

EPFL - Lausanne - Switzerland

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Wulfram Gerstner
EPFL
Walter Senn
University of Bern

University of Bern - Bern - Switzerland

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Walter Senn
University of Bern
Konrad Körding
University of Pennsilvania

University of Pennsilvania - Philadelphia - USA

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Konrad Körding
University of Pennsilvania
08:20-08:50

08:50-09:00

Session 1 –  THEORIES OF BIOPLAUSIBLE DEEP LEARNING

Yoshua Bengio - University of Montreal, CA

09:30-09:45

Timothy Lillicrap, Google Deep Mind, London, UK

10:15-10:30

10:30-11:00

11:30-11:45

12:15-12:30

Session 2 DEEP LEARNING AS A TOOL FOR NEUROSCIENCE

James DiCarlo, MIT, USA

14:30-14:45

Nicole Rust, University of Pennsylvania, USA

15:15-15:30

15:30-16:00

Nikolaus Kriegeskorte, Columbia University, USA

16:30-16:45

Konrad Koerding, University of Pennsylvania, USA

17:15-17:30

Session 3 – NEURAL REPRESENTATION AND LEARNING

09:30-09:45

10:30-11:00

Pieter Roelfsema, Netherland Institute for Neuroscience, NL

11:30-11:45

Dan Yamins, Stanford University, USA

12:15-12:30

Session 4 – TOWARD LEARNING RULES FOR BIOPLAUSIBLE NETWORKS

14:30-14:45

15:15-15:30

15:30-16:00

Rafal Bogacz, University of Oxford, UK

16:30-16:45

Richard Naud, University of Ottawa, CA

17:15-17:30

Sponsors

Registration Fees

Registrations are now closed

All presentations will be available via ZOOM : https://epfl.zoom.us/j/980568331

Students
For all Master & PhD students
50 CHF
Included :
Access to lecture room
Coffee breaks
Lunch
Others
.
150 CHF
Included :
Access to lecture room
Coffee breaks
Lunch

Cancellation policy

We kindly request you to notify us in advance if you cannot attend the symposium but have already registered. Unfortunately, attendance fees cannot be returned, but you can transfer your place to another person from your institution by emailing brain_mind@epfl.ch.

Abstract submission

Abstract submissions are now closed

Please submit abstracts by emailing : brain_mind@epfl.ch with subject : “BMS 07.2019  abstract submission”.

If your contribution has been accepted for poster, please prepare a poster size A0 : 119 × 84 cm (height x width) // Vertical. The posters do not have to be sent in advance; please take yours along on the first day of the conference, where they can be put up before the welcome address.

Abstract preparation and format

Please submit a title of no more than 20 words, and keep your abstract to no more than 300 words. Together with this, please also submit affiliations of all authors, sticking to the following format.

Adams, A.(1), Smith, S.(1,2), & Jones, J.(2),
1 Center for Brain Science, Harvard University, USA
2 Brain Mind Institute, EPFL, Switzerland.
Corresponding author: a.adams@harvard.edu

Practical information

Check out the FAQs to find the answers to common questions. Can't find your question answered here? Contact us.

When will the conference take place ?

The conference will take place from 8 to 9 July 2019.

Where will the conference take place ?

The conference will take place in the SV1717 room located on the EPFL campus.

Accomodation

Recommended options for accommodation include the Starling Hotel and the Swisstech Hotel for proximity of the conference venue, the Lausanne Guesthouse for budget accommodation.

Other options include the Hotel Ibis-Centre, Hotel Elite and Hotel Alpha-Palmiers.

Please also see the Lausanne Tourist Office for a comprehensive list of hotels in Lausanne.

Other options include the Hotel Ibis-Centre, Hotel Elite and Hotel Alpha-Palmiers.

Please also see the Lausanne Tourist Office for a comprehensive list of hotels in Lausanne.

Unfortunately, we will not be able to assist attendees with the booking of their accommodation.

From Geneve airport (Cointrin) to Lausanne

The journey to Lausanne takes about 45 minutes. There are 3 departures per hour. Most connections are direct from the “Geneve aéroport” bus station to Lausanne.

You will find the timetables at this adress :

From Zurich airport (Kloten) to Lausanne

The journey to Lausanne takes about 2½ hours. There are 2 departures per hour. Some trains have a connection in Bern or  Zürich Hauptbahnhof (Zürich HB). Follow the link below and type as your departure location : “Zürich Flughafen”.

From Bâle airport (EuroAirport) to Lausanne

There isn’t any train station in the airport. You’ll have to take a shuttle to the central railway station (Basel SBB) which takes about 20 minutes. The journey to Lausanne takes about 2½ hours. There are 2 departures per hour. There will be a connection weather in Berne or Bienne. Follow the link below and type as your departure location : “Basel Airport”.

Coming by train

All train timetables can be find through this link :

From Paris to Lausanne

4 TGV per day connect Paris-Gare de Lyon to Lausanne. The journey is direct and takes about 4 hours.

From Lyon to Lausanne

The journey from Lyon-Part-Dieu” to Lausanne takes 2½ heures. There is a train every 2 hours. Please note that there is a connection in Genève.

From Milan to Lausanne

From Milan central train station, the journey takes 4 hours (3 hours with the cisalpin). There is a departure every 2 hours. Usually there is no connection.

Getting to the conference

Due to severely restricted parking availabilities on EPFL grounds, we strongly recommend using taxi or public transportation to get there. You can reach EPFL using metro line M1 from Lausanne or Renens, bus lines 701 from Morges and 31 from Ecublens/Renens/Prilly.

If driving is the only option, you can purchase parking tickets at the meeting reception desk (CHF 10 for the day).

Public transportation

Please buy a ticket for the needed number of zones (between 3 and 4CHF)

  • From Lausanne (20 to 30 minutes)

From Lausanne, take the M2 from the CFF train station (next to the Mc Donald). Go down at the Flon stop and take the M1 in direction of Renens and go down at the EPFL stop. Then walk across the EPFL campus to the SV building.

  • From Renens (20mn)

Take the bus n°31 in direction of “Venoge Sud” go down at the stop “Paqueret”, don’t forget to press the red button in the bus to ask the bus to stop. Then walk to the SV building.

Or take the metro m1 in direction of Lausanne Flon, go down at the EPFL stop. Then walk across the EPFL to the SV building.

  • By Uber

There are Uber drivers in Lausanne. Please download the app on your phone to book a ride.

  • By taxi

Find below the link to the website of Lausanne taxis.

Meals

EPFL Campus offers a variety of restaurants open to the public.

The coffee breaks, lunch and aperitif are included in the registration fee and will be served in the SV hall.

Will I be able to connect to the internet ?

Wireless internet access will be granted to the symposium participants:

  • Network :             Public-epfl
  • Username :          x-bmisympo
  • Password :           fiason24

EPFL

BMI

Event location

Here, you will find directions to the conference venue. More space to meet and network!

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