<p><a href="http://www.sciencedirect.com/science/article/pii/S0301008298000124" rel="nofollow">Neural Mechanisms of Stereoscopic Vision</a>:<br>
This paper is a 1998 review of the experimental data surrounding stereoscopic vision.</p>

<p><a href="http://www.cs.utoronto.ca/~fleet/research/Papers/visRes-96.pdf" rel="nofollow">Neural Encoding of Binocular Disparity: Energy Models, Position Shifts, and Phase Shifts</a>:<br>
In this paper, Heeger puts forward computational models of binocular disparity using phenomenological models of neurons (i.e., using receptive fields of neurons, not using biophysical mechanisms).</p>

<p><a href="http://www.sciencedirect.com/science/article/pii/016622369190043T" rel="nofollow">Neural Models of Stereoscopic Vision</a>:<br>
A 1991 review of computational models of neural responses to binocular disparity.</p>

CC BY-SA 3.0
2014-05-06T02:08:23.157Z
Could you elaborate on how the references relate to the question?
Jeromy Anglim
CC BY-SA 3.0
2014-05-05T21:18:27.467Z
2014-05-06T17:31:29.283Z
2014-05-06T17:31:29.283Z
honi
<p>I figure there is a vast body of literature on stereovision, both neurophysiological and computational studies. Computer Vision also provides some algorithmic insight on implementing binocular disparity. Although a lot of people are doing that and have research the topic in the past, I'm lost to find a simplest/standard yet biologically plausible approach to account for binocular disparity in a neurodynamical model.</p>

<vision><computational-modeling><theoretical-neuroscience>
What are biologically plausible ways to model binocular disparity?
compephys
# What are biologically plausible ways to model binocular disparity?

(Asked by: username_0 on 2013-10-10)

I figure there is a vast body of literature on stereovision, both neurophysiological and computational studies. Computer Vision also provides some algorithmic insight on implementing binocular disparity. Although a lot of people are doing that and have research the topic in the past, I'm lost to find a simplest/standard yet biologically plausible approach to account for binocular disparity in a neurodynamical model.

**Tags:** vision, computational-modeling, theoretical-neuroscience


---

## 1 answers

### Answer by username_1 on 2014-05-05. Score: 3 | Accepted answer

[Neural Mechanisms of Stereoscopic Vision](http://www.sciencedirect.com/science/article/pii/S0301008298000124):  
This paper is a 1998 review of the experimental data surrounding stereoscopic vision.

[Neural Encoding of Binocular Disparity: Energy Models, Position Shifts, and Phase Shifts](http://www.cs.utoronto.ca/~fleet/research/Papers/visRes-96.pdf):  
In this paper, Heeger puts forward computational models of binocular disparity using phenomenological models of neurons (i.e., using receptive fields of neurons, not using biophysical mechanisms).

[Neural Models of Stereoscopic Vision](http://www.sciencedirect.com/science/article/pii/016622369190043T):  
A 1991 review of computational models of neural responses to binocular disparity.

> **Comments:**
> **username_2**: Could you elaborate on how the references relate to the question?  

---

