Past Events | Dominick P. Purpura Department of Neuroscience | Dominick P. Purpura Department of Neuroscience

Access to the seminars, lectures, and content therein are limited to authorized personnel at Einstein and Montefiore. These contents are intended for internal personal use only, and may not be modified, published or shared without written permission of the College, including but not limited to: copying the recording, issuing copies of it to the public, renting or lending copies of it to the public, playing it in public or broadcasting it.

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27 March Mar

Pasta Night: Dr. Jon Krakauer

Wed Mar 27 2024, 4:00 PM

100B, Rose F Kennedy Center

kevin.fisher@einsteinmed.edu

Dr. Jon Krakauer

Johns Hopkins University School of Medicine

Hosted by: Saleem Nicola

28 November Nov

Seminar: Light Microscopy Fundamentals, Javier Jara, Ph.D. (Nikon)

Tue Nov 28 2023, 12:00 PM

100B, Rose F Kennedy Center

peri.kurshan@einsteinmed.edu

Dr. Javier Jara, Ph.D. (Nikon, Bioscience Sales Specialist) will present a Light Microscopy Seminar, Part 1: Microscopy Fundamentals detailing:

How a microscope makes an image
Basic concepts to understand light properties
What does numerical apeture mean?
Light aberrations and why do we care
Magnification vs. Resolution

Lunch will be provided

15 November Nov

Society for Neuroscience Conference

Wed Nov 15 2023, 9:00 AM

SfN, Rose F Kennedy Center

kevin.fisher@einsteinmed.edu

Society for Neuroscience Conference

13 September Sep

Neuroscience Retreat

Wed Sep 13 2023, 9:00 AM

Tishman Auditorium, Kennedy Center

kevin.fisher@einsteinmed.edu

Neuroscience Retreat

Hosted by: Adam Kohn

21 June Jun

Neuroscience Retreat

Tue Jun 21 2022, 9:00 AM

Offsite

kevin.fisher@einsteinmed.edu

20 June Jun

Neuroscience Retreat

Mon Jun 20 2022, 9:00 AM

Offsite

kevin.fisher@einsteinmed.edu

9 May May

Machine Learning Reading Group: Ilker Yildirim

Mon May 09 2022, 12:00 PM

Zoom, Zoom

ruben.coen-cagli@einsteinmed.edu

Please join us at the next meeting of the Reading Group on Recent Advances in Machine Learning!

Speaker: Ilker Yildirim (Yale)

Title: Reverse-engineering the neural code in the language of objects and generative models

Background reading: Efficient inverse graphics in biological face processing (2020) Science Advances

Everyone is welcome to attend and join the interactive discussion!

For the full schedule, speakers list, and updates please check the webpage.

11 April Apr

Reading Group on Recent Advances in Machine Learning

Mon Apr 11 2022, 12:00 PM

Zoom, Zoom

ruben.coen-cagli@einsteinmed.edu

The next meeting of the Reading Group on Recent Advances in Machine Learning will be held at noon, 4/11/22. Dr. Oliver Henaff (Deep Mind) will present "Towards general self-supervised learning."

Background reading: The original SimCLR paper (https://arxiv.org/abs/2002.05709) and two of Olivier's recent papers which build on it (Efficient visual pretraining with contrastive detection, https://arxiv.org/abs/2103.10957 and Object discovery and representation networks, https://arxiv.org/abs/2203.08777).

Everyone is welcome to attend and join the interactive discussion!

For the full schedule, speakers list, and updates please check the webpage.

25 January Jan

Faculty Meeting and Chalk Talk

Tue Jan 25 2022, 12:30 PM

Zoom, Zoom

chelsea.pegues2@einsteinmed.org

Faculty Meeting and Chalk Talk

7 December Dec

Faculty Meeting and Chalk Talk

Tue Dec 07 2021, 12:30 PM

Zoom, Zoom

chelsea.pegues2@einsteinmed.org

Faculty Meeting and Chalk Talk

9 November Nov

Faculty Meeting and Chalk Talk

Tue Nov 09 2021, 12:30 PM

Zoom, Zoom

chelsea.pegues2@einsteinmed.org

Faculty Meeting and Chalk Talk

8 November Nov

Machine Learning Reading Group: Thomas Serre

Mon Nov 08 2021, 12:00 PM

Zoom, Zoom

joanne.leone@einsteinmed.org

12 October Oct

Faculty Meeting and Chalk Talk

Tue Oct 12 2021, 12:30 PM

Zoom, Zoom

chelsea.pegues2@einsteinmed.org

30 April Apr

Club Syn: Peri Kurshan

Fri Apr 30 2021, 12:15 PM

Zoom, Rose F Kennedy Center

kevin.fisher@einsteinmed.org

Club Syn: Hosted by Peri Kurshan, who will be presenting "Structure and function of a neocortical synapse". Nature 591, 111–116 (2021) from the Stratford lab.

5 April Apr

Machine Learning Reading Group: Luigi Acerbi

Mon Apr 05 2021, 11:00 AM

Zoom Meeting, Zoom Meeting

chelsea.pegues2@einsteinmed.org

This month's speaker is Luigi Acerbi, Assistant Professor at the Department of Computer Science of the University of Helsinki, where he leads the Machine and Human Intelligence research group. He is a member of the Finnish Center for Artificial Intelligence (FCAI), an affiliate researcher of the International Brain Laboratory, and an off-site visiting scholar at New York University.

Title:

Practical sample-efficient Bayesian inference for models with and without likelihoods

Abstract:
Bayesian inference in applied fields of science and engineering can be challenging because in the best-case scenario the likelihood is a black-box (e.g., mildly-to-very expensive, no gradients) and more often than not it is not even available, with the researcher being only able to simulate data from the model. In this talk, I review a recent sample-efficient framework for approximate Bayesian inference, Variational Bayesian Monte Carlo (VBMC), which uses only a limited number of potentially noisy log-likelihood evaluations. VBMC produces both a nonparametric approximation of the posterior distribution and an approximate lower bound of the model evidence, useful for model selection. VBMC combines well with a technique we (re)introduced, inverse binomial sampling (IBS), that obtains unbiased and normally-distributed estimates of the log-likelihood via simulation. VBMC has been tested on many real problems (up to 10 dimensions) from computational and cognitive neuroscience, with and without likelihoods. Our method performed consistently well in reconstructing the ground-truth posterior and model evidence with a limited budget of evaluations, showing promise as a general tool for black-box, sample-efficient approximate inference — with exciting potential extensions to more complex cases.

Links:

1. MATLAB toolbox: https://github.com/lacerbi/vbmc
2. VBMC paper: https://arxiv.org/abs/1810.05558
3. VBMC with noisy likelihoods paper: https://arxiv.org/abs/2006.08655
4. Inverse binomial sampling preprint: https://arxiv.org/abs/2001.03985

8 March Mar

Machine Learning Reading Group: Saad Kahn

Mon Mar 08 2021, 12:00 PM

Zoom Meeting, Zoom Meeting

chelsea.pegues2@einsteinmed.org

Please join the Machine Learning Reading Group on Monday, March 8th, 2021 at 12:00pm/Noon for the next meeting of the 2020/2021 reading group on recent advances in machine learning. Zoom information was emailed to the department.

Saad Kahn (Kelly Lab, EInstein) will introduce a topic that we haven't touched upon yet, namely Reinforcement Learning (RL). Saad will explain how RL works, and will present some relevant applications.

You can find a review of RL in biological systems (here) that also integrates ideas from neuroscience into artificial RL. Also, here is a general overview of RL.

22 February Feb

Thesis Seminar: Morgan Porch

Mon Feb 22 2021, 2:00 PM

Zoom Meeting

chelsea.pegues2@einsteinmed.org

Mechanisms underlying the regulation of synaptic plasticity

Morgan Porch

Einstein

Hosted by: Dr. Suzanne Zukin

27 January Jan

Seminar: Dr. Marija Kundakovic

Wed Jan 27 2021, 12:00 PM

Zoom Meeting

chelsea.pegues2@einsteinmed.org

Sex-specific chromatin dynamics in the brain: Implications for anxiety disorders and depression

Dr. Marija Kundakovic

Fordham University

Hosted by: Dr. Steven U. Walkley

25 January Jan

Machine Learning Reading Group: Judy Wawira Gichoya

Mon Jan 25 2021, 12:00 PM

Zoom Meeting, Zoom Meeting

chelsea.pegues@einsteinmed.org

Please join us today Monday Jan 25, at 12-noon, for the next meeting of the 2020/21 reading group on recent advances in machine learning.

This month we have an external speaker, Judy Wawira Gichoya, Assistant Professor in Radiology at Emory and co-director of HITI lab.

Judy's talk "Machine Learning for Health in Real Life" will cover some practical aspects to consider when deploying ML in real life scenarios.

14 December Dec

Machine Learning Reading Group -Meeting

Mon Dec 14 2020, 12:00 PM

Zoom

kevin.fisher@einsteinmed.org

Ingmar Kanitscheider, research scientist at Open AI will present at the next Recent Advances in Machine Learning reading group, hosted by Dr. Ruben Coen-Cagli.

Dr. Kanitscheider will present his recent work on multi-agent Reinforcement Learning, you can find his paper "Emergent tool use from multi-agent autocurricula" here:

https://openreview.net/pdf?id=SkxpxJBKwS

This session is hosted in Zoom, session credentials have been emailed to department members.

9 December Dec