Information theory and neural coding

A Borst, FE Theunissen - Nature neuroscience, 1999 - nature.com
Abstract Information theory quantifies how much information a neural response carries about
the stimulus. This can be compared to the information transferred in particular models of the …

[HTML][HTML] Color in the cortex: single-and double-opponent cells

R Shapley, MJ Hawken - Vision research, 2011 - Elsevier
This is a review of the research during the past 25years on cortical processing of color
signals. At the beginning of the period the modular view of cortical processing …

[图书][B] Neuronal dynamics: From single neurons to networks and models of cognition

W Gerstner, WM Kistler, R Naud, L Paninski - 2014 - books.google.com
What happens in our brain when we make a decision? What triggers a neuron to send out a
signal? What is the neural code? This textbook for advanced undergraduate and beginning …

Surf: Speeded up robust features

H Bay, T Tuytelaars, L Van Gool - … on Computer Vision, Graz, Austria, May …, 2006 - Springer
In this paper, we present a novel scale-and rotation-invariant interest point detector and
descriptor, coined SURF (Speeded Up Robust Features). It approximates or even …

[图书][B] Theoretical neuroscience: computational and mathematical modeling of neural systems

P Dayan, LF Abbott - 2005 - books.google.com
Theoretical neuroscience provides a quantitative basis for describing what nervous systems
do, determining how they function, and uncovering the general principles by which they …

[图书][B] Spiking neuron models: Single neurons, populations, plasticity

W Gerstner, WM Kistler - 2002 - books.google.com
Neurons in the brain communicate by short electrical pulses, the so-called action potentials
or spikes. How can we understand the process of spike generation? How can we …

[图书][B] Natural image statistics: A probabilistic approach to early computational vision.

A Hyvärinen, J Hurri, PO Hoyer - 2009 - books.google.com
Aims and Scope This book is both an introductory textbook and a research monograph on
modeling the statistical structure of natural images. In very simple terms,“natural images” are …

A biologically inspired system for action recognition

H Jhuang, T Serre, L Wolf… - 2007 IEEE 11th …, 2007 - ieeexplore.ieee.org
We present a biologically-motivated system for the recognition of actions from video
sequences. The approach builds on recent work on object recognition based on hierarchical …

Natural image statistics and efficient coding

BA Olshausen, DJ Field - Network: computation in neural …, 1996 - iopscience.iop.org
Natural images contain characteristic statistical regularities that set them apart from purely
random images. Understanding what these regularities are can enable natural images to be …

Spectral-temporal receptive fields of nonlinear auditory neurons obtained using natural sounds

FE Theunissen, K Sen, AJ Doupe - Journal of neuroscience, 2000 - Soc Neuroscience
The stimulus–response function of many visual and auditory neurons has been described by
a spatial-temporal receptive field (STRF), a linear model that for mathematical reasons has …