Feature detection using spikes: the greedy approach

Details Feature detection using spikes: the greedy approach Feature detection using spikes: the greedy approach

2006-11-01

arxiv.org/abs/q-bio/0611003v2

Journal of physiology, Paris. 98 (28/11/2005) 530--9

Biology

Quantitative Biology

Neurons and Cognition

This work links Matching Pursuit with bayesian inference by providing the underlying hypotheses (linear model, uniform prior,

Scientific paper

10.1016/j.jphysparis.2005.09.012

A goal of low-level neural processes is to build an efficient code extracting the relevant information from the sensory input. It is believed that this is implemented in cortical areas by elementary inferential computations dynamically extracting the most likely parameters corresponding to the sensory signal. We explore here a neuro-mimetic feed-forward model of the primary visual area (VI) solving this problem in the case where the signal may be described by a robust linear generative model. This model uses an over-complete dictionary of primitives which provides a distributed probabilistic representation of input features. Relying on an efficiency criterion, we derive an algorithm as an approximate solution which uses incremental greedy inference processes. This algorithm is similar to 'Matching Pursuit' and mimics the parallel architecture of neural computations. We propose here a simple implementation using a network of spiking integrate-and-fire neurons which communicate using lateral interactions. Numerical simulations show that this Sparse Spike Coding strategy provides an efficient model for representing visual data from a set of natural images. Even though it is simplistic, this transformation of spatial data into a spatio-temporal pattern of binary events provides an accurate description of some complex neural patterns observed in the spiking activity of biological neural networks.

Affiliated with

Also associated with

No associations

Rating

Feature detection using spikes: the greedy approach does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Feature detection using spikes: the greedy approach, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Feature detection using spikes: the greedy approach will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-292444