<--- Back to Details
First PageDocument Content
Nervous system / Cognitive science / Visual cortex / Complex cell / Receptive field / David H. Hubel / Lateral geniculate nucleus / Simple cell / Torsten Wiesel / Anatomy / Cerebrum / Visual system
Date: 2012-06-21 16:38:37
Nervous system
Cognitive science
Visual cortex
Complex cell
Receptive field
David H. Hubel
Lateral geniculate nucleus
Simple cell
Torsten Wiesel
Anatomy
Cerebrum
Visual system

Computer Science and Artificial Intelligence Laboratory Technical Report MIT-CSAIL-TR[removed]CBCL-309 June 21, 2012

Add to Reading List

Source URL: cbcl.mit.edu

Download Document from Source Website

File Size: 560,52 KB

Share Document on Facebook

Similar Documents

Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images  Space size: 5.2×5.2×2.5 m3 Receptive field: m3  Softmax

Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images Space size: 5.2×5.2×2.5 m3 Receptive field: m3 Softmax

DocID: 1rNWk - View Document

Operations in Multi-Dimensional Neural Fields Summer School Neural Dynamics for Cognitive Robotics September 2013

Operations in Multi-Dimensional Neural Fields Summer School Neural Dynamics for Cognitive Robotics September 2013

DocID: 1rj4q - View Document

LETTER  Communicated by Friedrich Sommer A Sparse Generative Model of V1 Simple Cells with Intrinsic Plasticity

LETTER Communicated by Friedrich Sommer A Sparse Generative Model of V1 Simple Cells with Intrinsic Plasticity

DocID: 1rhHL - View Document

a r t ic l e s  Spatiotemporal receptive fields of barrel cortex revealed by reverse correlation of synaptic input  npg

a r t ic l e s Spatiotemporal receptive fields of barrel cortex revealed by reverse correlation of synaptic input npg

DocID: 1rfC7 - View Document

Published at International Joint Conference on Neural Networks (IJCNN), 2015  Recurrent Convolutional Neural Networks for Object-Class Segmentation of RGB-D Video Mircea Serban Pavel, Hannes Schulz, and Sven Behnke Unive

Published at International Joint Conference on Neural Networks (IJCNN), 2015 Recurrent Convolutional Neural Networks for Object-Class Segmentation of RGB-D Video Mircea Serban Pavel, Hannes Schulz, and Sven Behnke Unive

DocID: 1rcuQ - View Document