<--- Back to Details
First PageDocument Content
Mind / Cybernetics / Nervous system / Feedback / Receptive field / Visual cortex / Normalization model / Visual perception / Anatomy / Control theory
Date: 2014-05-30 10:08:45
Mind
Cybernetics
Nervous system
Feedback
Receptive field
Visual cortex
Normalization model
Visual perception
Anatomy
Control theory

ORIGINAL RESEARCH ARTICLE published: 30 May 2014 doi: fnsysSYSTEMS NEUROSCIENCE

Add to Reading List

Source URL: klab.tch.harvard.edu

Download Document from Source Website

File Size: 2,88 MB

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

DocID: 1rNWk - View Document

Nervous system / Neuroscience / Perception / Sensory systems / Brain / Computational neuroscience / Visual system / Receptive field / Visual space / Superior colliculus / Visual cortex / Convolutional neural network

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

DocID: 1rj4q - View Document

Nervous system / Computational neuroscience / Neuroscience / Computational statistics / Artificial neural network / Mathematical psychology / Receptive field / Biological neuron model / Hebbian theory / Visual cortex / Feature learning / Visual tilt effects

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

DocID: 1rhHL - View Document

Neuroscience / Nervous system / Biology / Neurophysiology / Computational neuroscience / Electrophysiology / Barrel cortex / Surround suppression / Receptive field / Neuron / Spike-triggered average / Visual cortex

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

Artificial neural networks / Neuroscience / Cybernetics / Artificial intelligence / Convolutional neural network / Recurrent neural network / Image segmentation / Speech recognition / Receptive field / Feature learning / Rectifier / Biological neural network

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