A sparse coding model with imperfect feed-forward circuitry

نویسندگان

چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Sparse spike coding in an asynchronous feed-forward multi-layer neural network using matching pursuit

In order to account for the rapidity of visual processing, we explore visual coding strategies using a one-pass feed-forward spiking neural network. Following the work of Van Rullen and Thorpe [9], which constructs a spike code for progressive retinal transmission using a wavelet-like transform and rank order coding, we extend this model to arbitrary linear generative models by constructing lat...

متن کامل

A feed-forward spiking model of shape-coding by IT cells

The ability to recognize a shape is linked to figure-ground (FG) organization. Cell preferences appear to be correlated across contrast-polarity reversals and mirror reversals of polygon displays, but not so much across FG reversals. Here we present a network structure which explains both shape-coding by simulated IT cells and suppression of responses to FG reversed stimuli. In our model FG seg...

متن کامل

A Bilinear Model for Sparse Coding

Recent algorithms for sparse coding and independent component analysis (ICA) have demonstrated how localized features can be learned from natural images. However, these approaches do not take image transformations into account. As a result, they produce image codes that are redundant because the same feature is learned at multiple locations. We describe an algorithm for sparse coding based on a...

متن کامل

A Selective Sparse Coding Model with Embedded Attention Mechanism

Sparse coding theory demonstrates that the neurons in the primary visual cortex form a sparse representation of natural scenes in the viewpoint of statistics, but a typical scene contains many different patterns (corresponding to neurons in cortex) competing for neural representation because of the limited processing capacity of the visual system. We propose an attention-guided sparse coding mo...

متن کامل

A Mathematical Model for Feed � Forward Neural Networks

We present a general model for di erentiable feed forward neural networks Its general mathemat ical description includes the standard multi layer perceptron as well as its common derivatives These standard structures assume a strong relationship between the network links and the neuron weights Our generalization takes advantage of the suppression of this assumption Since our model is especially...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Frontiers in Systems Neuroscience

سال: 2009

ISSN: 1662-5137

DOI: 10.3389/conf.neuro.06.2009.03.340