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Seminar✓ Recording AvailableNeuroscience

Wiring Minimization of Deep Neural Networks Reveal Conditions in which Multiple Visuotopic Areas Emerge

Dina Obeid

Harvard University

Schedule
Wednesday, December 15, 2021

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Schedule

Wednesday, December 15, 2021

12:00 AM America/New_York

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Host: van Vreeswijk TNS

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Recording provided by the organiser.

Event Information

Domain

Neuroscience

Original Event

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Host

van Vreeswijk TNS

Duration

70 minutes

Abstract

The visual system is characterized by multiple mirrored visuotopic maps, with each repetition corresponding to a different visual area. In this work we explore whether such visuotopic organization can emerge as a result of minimizing the total wire length between neurons connected in a deep hierarchical network. Our results show that networks with purely feedforward connectivity typically result in a single visuotopic map, and in certain cases no visuotopic map emerges. However, when we modify the network by introducing lateral connections, with sufficient lateral connectivity among neurons within layers, multiple visuotopic maps emerge, where some connectivity motifs yield mirrored alternations of visuotopic maps–a signature of biological visual system areas. These results demonstrate that different connectivity profiles have different emergent organizations under the minimum total wire length hypothesis, and highlight that characterizing the large-scale spatial organizing of tuning properties in a biological system might also provide insights into the underlying connectivity.

Topics

biological visual systemdeep neural networksemergent organizationfeedforward connectivityhierarchical networklateral connectionsminimum wire lengthneural connectivityvisuotopic maps

About the Speaker

Dina Obeid

Harvard University

Contact & Resources

Personal Website

seas.harvard.edu/person/dina-obeid

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