output
20112026
most citedEnd-to-End Neural Ad-hoc Ranking with Kernel Pooling

575 citations

Showing 2016Show all

6 papers · 1 filter

q-bio.NC2016

Predictive coding in area V4: dynamic shape discrimination under partial occlusion

Hannah Choi, Anitha Pasupathy, Eric Shea-Brown

The primate visual system has an exquisite ability to discriminate partially occluded shapes. Recent electrophysiological recordings suggest that response dynamics in intermediate…

cs.CV2016★ 18 cited

Probabilistic Fluorescence-Based Synapse Detection

Anish K. Simhal, Cecilia Aguerrebere, Forrest Collman +5

Brain function results from communication between neurons connected by complex synaptic networks. Synapses are themselves highly complex and diverse signaling machines, containing…

cs.CV2016★ 163 cited

Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning

Yuke Zhu, Roozbeh Mottaghi, Eric Kolve +4

Two less addressed issues of deep reinforcement learning are (1) lack of generalization capability to new target goals, and (2) data inefficiency i.e., the model requires several (…

q-bio.NC2016★ 46 cited

A Computational Analysis of the Function of Three Inhibitory Cell Types in Contextual Visual Processing

Jung H. Lee, Christof Koch, Stefan Mihalas

Most cortical inhibitory cell types exclusively express one of three genes, parvalbumin, somatostatin and 5HT3a. The visual responses of cortical neurons are affected not only by l…

q-bio.NC2016★ 1 cited

Training and spontaneous reinforcement of neuronal assemblies by spike timing

Gabriel Koch Ocker, Brent Doiron

The synaptic connectivity of cortex is plastic, with experience shaping the ongoing interactions between neurons. Theoretical studies of spike timing-dependent plasticity (STDP) ha…

cs.CV2016★ 279 cited

XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

Mohammad Rastegari, Vicente Ordonez, Joseph Redmon +1

We propose two efficient approximations to standard convolutional neural networks: Binary-Weight-Networks and XNOR-Networks. In Binary-Weight-Networks, the filters are approximated…