About Site Map Submit Contact Us Log in | Create an account
Create an account Log In
Average Rating
User Rating:
Visitors Rating:
My rating:

Write review
See full specifications

scripts default iconSimple cells (visual cortex) (Scripts) Publisher's description

This software has been realized by Ben Chandler at the CNS Technology Lab at Boston University

This software has been realized by Ben Chandler at the CNS Technology Lab at Boston University (http://techlab.bu.edu/). The main author of the software is Ben Chandler ( http://www.neurdon.com/about-2/editors/ben-chandler/ )

This is a one-dimensional stand-alone implementation of the Grossberg and Todorović model of a cortical simple cell.

Grossberg, S. , Todorovic, D., Neural dynamics of 1-D and 2-D brightness perception: A unified model of classical and recent phenomena, Perception and Psychophysics, 43, 241-277 (1988).

Computer simulations of a neural network model of I-D and 2-D brightness phenomena are presented. The simulations indicate how configural image properties trigger interactions among spatially organized contrastive, boundary segmentation, and filling-in processes to generate emergent percepts. They provide the first unified mechanistic explanation of this set of phenomena, a number of which have received no previous mechanistic explanation. Network interactions between a Boundary Contour (BC) System and a Feature Contour (FC) System comprise the model. The BC System consists of a hierarchy of contrast-sensitive and orientationally tuned interactions, leading to a boundary segmentation. On and off geniculate cells and simple and complex cortical cells are modeled. Output signals from the BC System segmentation generate compartmental boundaries within the FC System. Contrast-sensitive inputs to the FC System generate a lateral filling-in of activation within FC System compartments. The filling-in process is defined by a nonlinear diffusion mechanism. Simulated phenomena include network responses to stimulus distributions that involve combinations of luminance steps, gradients, cusps, and corners of various sizes. These images include impossible staircases, bull's-eyes, nested combinations of luminance profiles, and images viewed under nonuniform illumination conditions. Simulated phenomena include variants of brightness constancy, brightness contrast, brightness assimilation, the Craik-O'Brien-Cornsweet effect, the Kofika-Benussi ring, the Kanizsa-Minguzzi anomalous brightness differentiation, the Hermann grid, and a Land Mondrian viewed under constant and gradient illumination that cannot be explained by retinex theory.
Code Description

This Matlab implementation includes stand-alone source code, simplecell.m, as well as documentation and a GUI-based example. For stand-alone use instructions, see how_to_run.pdf. Otherwise, run main_gui from Matlab to see the full GUI example.

System Requirements:

MATLAB 7.5 (R2007b)
Program Release Status: New Release
Program Install Support: Install and Uninstall

Simple cells (visual cortex) (Scripts) Tags:

Click on a tag to find related softwares

Is Simple cells (visual cortex) (Scripts) your software?

Manage your software

Most Popular

scripts default icon ASK, OOK, FSK, BPSK, QPSK, 8PSK modulation 1.1
ASK, OOK, FSK, BPSK, QPSK, 8PSK modulation contain several functions for digital modulation simulation
scripts default icon Simulink Communication Labs 1.1
Simulink Communication Labs allows you to learn communication systems in greater depth.
scripts default icon M-QAM modulation and demodulation 1.1
M-QAM modulation and demodulation is the QAM modulation and demodulation tech.
scripts default icon LZW Compression/Decompression 1.1
LZW Compression/Decompression - Updated LZW compressor and decompressor with reasonable performance
scripts default icon InSPIRE utility to plot a 2D displacement field (Scripts) 1.0
This program plots the deformation field (displace vectors) contained in vector.txt.