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CBMM Postdoc Group Meeting

Feb 10, 2014 - 4:00 pm
Venue:  MIT: McGovern Institute Reading Room, 46-5165 Address:  43 Vassar Street MIT Bldg 46 Cambridge, MA 02139 United States

Agenda:

  • Organizational meeting in order to start the activities of the group.

Notes:

  • Toggle meetings location between MIT and Harvard (preferably just before the CBMM meetings)
  • Meet regularly every two or three weeks (possibly more often during the first couple of months)
  • Focus on both scientific and career topics
  • Hold a short research presentation of each participant, possibly followed by a scientific discussion and collaboration suggestions
  • Meet with representatives of the CBMM’s industry outreach (possibly visit industrial facilities and research groups)
  • Meet and share individual experience of CBMM PI’s on both scientific and career issues
  • Hold mini-workshops/tutorials to allow first-person experience with the various research disciplines of the CBMM.

CBMM Weekly Research Meeting

Feb 7, 2014 - 4:30 pm
Venue:  MIT: McGovern Institute Reading Room, 46-5165 Address:  43 Vassar Street MIT Bldg 46 Cambridge, MA 02139 United States

Presentation: Research Thrust 2 – Circuits for Intelligence: Datasets and Metrics for the CBMM Challenge
Speakers: Prof. Gabriel Kreiman, Leyla Isik and Andrea Tacchetti

Abstract:
The performance of humans, computational models, or a population of neurons on a given task can be measured by single numbers such as ROC, but importantly, also by the consistency between their responses. For example, one can compare the correlation between the readout from a group of neurons and from a layer or module in a computational model.
In this meeting we will begin the important discussion of:
1) The various parts of an open database of videos and images to be used for the CBMM challenge over the next 5-10 years, and
2) Metrics that we will use to measure absolute performance of models, and their consistency with human behavioral performance and physiology.
We will discuss an example of preliminary work to compare model and human MEG performance on an action recognition task. In addition we will brainstorm datasets, metrics and related questions. The goal is to encourage a discussion about stimuli that can be useful to several groups at CBMM and have early feedback on the design of datasets and measurements to use.

Workshop on Broadening Participation in the Science of Intelligence

Jan 8, 2014 - 9:00 am
Venue:  Massachusetts Institute of Technology: MIT Address:  77 Massachusetts Ave Cambridge, MA 02139 United States

Free

Registration by invitation only

Agenda:

Wednesday:
Participants arrive in Cambridge
5:30-7:30 PM, Room 46-3015

Introductions:
Welcoming remarks: Tommy Poggio
Overview: Mandana Sassanfar
Research presentation: Ed Boyden

Thursday:     EDUCATION PROGRAMS – Moderator: Ellen Hildreth

Morning: 9:00 -12:00  in Room 46-3015
-       Overview of the CBMM education program and goals:

  • Ellen Hildreth

-     Curriculum and building bridges between neuroscience and CS within each institution:

  • UPR: Irving Vega
  • UCC: Maria Bykhovskaia
  • CUNY: Susan Epstein
  • Howard: Mohamed Chouikha
  • Wellesley: Mike Wiest

-       CBMM courses and summer course:

  • Ellen Hildreth
  • L. Mahadavan

-       Preparation for graduate and postdoctoral work in intelligence science:

  • Matt Wilson

-       General discussion: Building collaborations on course and curriculum development across institutions.

Afternoon: 1:00 -5:00 – Quantitative Biology Workshop in Room 32-080

Visiting faculty attend Quantitative Biology Workshop session on the use of MATLAB in Neuroscience, to experience a model for future January workshops
https://biology.mit.edu/outreach_initiatives/quantitative_biology_workshop

Evening:  - Networking and discussions

Friday:           RESEARCH PROGRAMS – Moderator: Patrick Winston

Morning: : 9:00 -12:00  in Room 46-3015

-       Overview of CBMM research goals and four thrusts

  • Patrick Winston: Research Overview
  • Gabriel Kreiman: Circuits for Intelligence
  • Boris Katz: Visual Intelligence
  • Nancy Kanwisher: Social Intelligence
  • Josh Tennenbaum: Development of Intelligence

-       Specific research lab overviews

  • Robert Desimone
  • Matt Wilson

-       Research at each partner institution

  • UPR:
  • UCC: Maria Bykhovskaia
  • CUNY: Susan Epstein
  • Howard: Kebreten Manaye, Robert Rwebangira
  • Wellesley: Bevil Conway

-       Discussion of research interests of CBMM and visiting faculty

Afternoon: 1:00 – 5:00

Individual and small-group meetings with MIT/Harvard CBMM faculty in faculty individual offices and labs(exploring synergies for summer sabbaticals, faculty seminars, and students research opportunities)

1:00 -2:00   fMRI demo in Martinos Imaging Center –Room 46-1171)
2:00 -3:00   Microscopy facilities:  Confocal Microscopy on 6th floor
2-photon microscopy on 5th floor

Evening: 5:30 – 7:30                        Networking  and discussion

Saturday Morning: 9:00 -12:00

-     Continue discussion of education and research programs and possible areas of collaboration.

-       Develop concrete plans for future efforts at individual schools and across partner institutions for the advancement of the study of intelligence

-       Goals for years 1, 2, 3 and 4.

Participants:

CBMM Broadening Participation Partners:

Howard University
Kebreten Manaye, Chair, Physiology and Biophysics
Mohamed Chouikha, Chair, Electrical & Computer Engineering
Mugizi (Robert) Rwebangira, Computer Science

CUNY- Hunter College
Susan Epstein, Computer Science
Martin Chodorow , Professor of Psychology and Linguistics
Williams Sakas, Computer Science Department Chair

CUNY- Queens College
Josh Brumberg, Psychology, Director – Brain, Behavior and Cognition Doctoral Programs

University of Puerto Rico at Rio Piedras
Patricia Odonez, Computer Science,
Rafael Arce Nazario  Computer Science Department Chair, rafael.arce@upr.edu
Irving Vega, Prof of Biology and Assistant Dean of Research, irvingvega@gmail.com

Universidad Central del Caribe
Maria Bykhovskaia, Chair, Neuroscience Department

Wellesley College
Ellen Hildreth, Chair, Computer Science Department
Bevil Conway, Neuroscience Program
Mike Wiest, Neuroscience Program

CBMM faculty at MIT and Harvard:

*Tomaso Poggio, Director, CBMM

*Ed Boyden, MIT BCS
*Robert Desimone, MIT BCS
Leslie Kaelbling, MIT Electrical Engineering & Computer Science
*Nancy Kanwisher, MIT BCS
*Boris Katz, MIT Computer Science & Artificial Intelligence Lab
*Gabriel Kreiman, Harvard Medical School
L. Mahadevan, Harvard, Applied Mathematics, Organismic & Evolutionary Biology, and Physics
Ken Nakayama, Harvard Department of Psychology
Rebecca Saxe, MIT Department of Brain & Cognitive Sciences
*Laura Schulz, MIT BCS
Haim Sompolinsky, Harvard Center for Brain Science and Hebrew University
Liz Spelke, Harvard Psychology
*Josh Tenenbaum, MIT BCS
Shimon Ullman, MIT BCS and Weizmann Institute of Science
*Leslie Valiant, Harvard Computer Science and Applied Mathematics
*Matt Wilson, MIT BCS
*Patrick Winston, MIT Electrical Engineering & Computer Science

* Available to meet with visiting faculty during the CBMM Workshop on Broadening Participation in the Science of Intelligence

Organizer:  Mandana Sassanfar

CBMM Weekly Research Meeting

Nov 8, 2013 - 4:30 pm
Venue:  Harvard University: Northwest Bldg, Room 243 Address:  52 Oxford Street Harvard University Northwest Building Cambridge, 02138

There will be a presentation on the Research Thrust 5 “Theories for Intelligence.”
T. Poggio:

Thrust 5:  Theory is the common language between thrusts but it is not a goal in itself.  The CBMM challenge question what is there and m-theory

  • Theory: Invariances reduce sample complexity
  • Algorithm: how the ventral stream may learn/compute invariant features

Speakers:

  • Qianli Liao  – Computational test: algorithm performs well in face verification
  • Joel Leibo – Neuroscience test: algorithm is consistent with physiology of face cells
  • Leslie Valiant – The neuroidal model: modeling how neural circuits are cumulatively learned

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