Computational Neuroscience: Hippocampus

2016 ◽  
pp. 1-15
Author(s):  
Michael E. Hasselmo ◽  
James R. Hinman
Keyword(s):  
Computational Neuroscience

Perception

2018 ◽  
Author(s):  
Joel Z. Leibo ◽  
Tomaso Poggio
Keyword(s):  
Computational Neuroscience ◽  
Feature Detection ◽  
Pedestrian Detection ◽  
Detection Systems ◽  
Catching Up ◽  
Feature Detectors ◽  
Recognition Systems ◽  
Engineered Systems ◽  
Perceptual Systems ◽  
The Brain

This chapter provides an overview of biological perceptual systems and their underlying computational principles focusing on the sensory sheets of the retina and cochlea and exploring how complex feature detection emerges by combining simple feature detectors in a hierarchical fashion. We also explore how the microcircuits of the neocortex implement such schemes pointing out similarities to progress in the field of machine vision driven deep learning algorithms. We see signs that engineered systems are catching up with the brain. For example, vision-based pedestrian detection systems are now accurate enough to be installed as safety devices in (for now) human-driven vehicles and the speech recognition systems embedded in smartphones have become increasingly impressive. While not being entirely biologically based, we note that computational neuroscience, as described in this chapter, makes up a considerable portion of such systems’ intellectual pedigree.

scholarly journals Code Generation in Computational Neuroscience: A Review of Tools and Techniques

2018 ◽  
Vol 12 ◽  
Author(s):  
Inga Blundell ◽  
Romain Brette ◽  
Thomas A. Cleland ◽  
Thomas G. Close ◽  
Daniel Coca ◽  
...  
Keyword(s):  
Computational Neuroscience ◽  
Code Generation ◽  
Tools And Techniques

The Qualitative Reasoning Neuron: a New Approach to Modeling in Computational Neuroscience

1998 ◽  
pp. 609-614 ◽  
Author(s):  
Jeffrey L. Krichmar ◽  
Giorgio A. Ascoli ◽  
James L. Olds ◽  
Lawrence Hunter
Keyword(s):  
Computational Neuroscience ◽  
Qualitative Reasoning ◽  
New Approach
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