Neural field description suggests feedforward mechanism of state-dependent visual receptive field changes

1999 ◽  
Author(s):  
K. Suder
Keyword(s):  
Receptive Field ◽  
Neural Field ◽  
Visual Receptive Field ◽  
State Dependent

Neural field description of state-dependent visual receptive field changes

2000 ◽  
Vol 32-33 ◽  
pp. 545-551
Author(s):  
Katrin Suder ◽  
Florentin Wörgötter ◽  
Thomas Wennekers
Keyword(s):  
Receptive Field ◽  
Neural Field ◽  
Visual Receptive Field ◽  
State Dependent

Neural Field Model of Receptive Field Restructuring in Primary Visual Cortex

2001 ◽  
Vol 13 (1) ◽  
pp. 139-159 ◽  
Author(s):  
Katrin Suder ◽  
Florentin Wörgötter ◽  
Thomas Wennekers
Keyword(s):  
Visual Cortex ◽  
Membrane Potential ◽  
Receptive Field ◽  
Receptive Fields ◽  
Neural Field ◽  
Potential Profile ◽  
Model Parameters ◽  
Neural Field Model ◽  
State Dependent ◽  
The Individual

Receptive fields (RF) in the visual cortex can change their size depending on the state of the individual. This reflects a changing visual resolution according to different demands on information processing during drowsiness. So far, however, the possible mechanisms that underlie these size changes have not been tested rigorously. Only qualitatively has it been suggested that state-dependent lateral geniculate nucleus (LGN) firing patterns (burst versus tonic firing) are mainly responsible for the observed cortical receptive field restructuring. Here, we employ a neural field approach to describe the changes of cortical RF properties analytically. Expressions to describe the spatiotemporal receptive fields are given for pure feedforward networks. The model predicts that visual latencies increase nonlinearly with the distance of the stimulus location from the RF center. RF restructuring effects are faithfully reproduced. Despite the changing RF sizes, the model demonstrates that the width of the spatial membrane potential profile (as measured by the variance σ of a gaussian) remains constant in cortex. In contrast, it is shown for recurrent networks that both the RF width and the width of the membrane potential profile generically depend on time and can even increase if lateral cortical excitatory connections extend further than fibers from LGN to cortex. In order to differentiate between a feedforward and a recurrent mechanism causing the experimental RF changes, we fitted the data to the analytically derived point-spread functions. Results of the fits provide estimates for model parameters consistent with the literature data and support the hypothesis that the observed RF sharpening is indeed mainly driven by input from LGN, not by recurrent intracortical connections.

Stochastic dynamics of a neural field lattice model with state dependent nonlinear noise

2021 ◽  
Vol 28 (4) ◽  
Author(s):  
Xiaoli Wang ◽  
Peter E. Kloeden ◽  
Xiaoying Han
Keyword(s):  
Lattice Model ◽  
Stochastic Dynamics ◽  
Neural Field ◽  
State Dependent ◽  
Nonlinear Noise

Visual receptive-field characteristics of superior colliculus neurons after cortical lesions in the rabbit

1973 ◽  
Vol 13 (10) ◽  
pp. 1965-1977 ◽  
Author(s):  
David L. Stewart ◽  
Dorwin Birt ◽  
Lex C. Towns
Keyword(s):  
Receptive Field ◽  
Superior Colliculus ◽  
Cortical Lesions ◽  
Visual Receptive Field ◽  
Superior Colliculus Neurons

Visual receptive field types in the nucleus dorsalateralis anterior of the pigeon's thalamus

1976 ◽  
Vol 108 (2) ◽  
pp. 295-306 ◽  
Author(s):  
D. Jassik-Gerschenfeld ◽  
J. Teulon ◽  
N. Ropert
Keyword(s):  
Receptive Field ◽  
Visual Receptive Field

Visual receptive field properties of excitatory neurons in the substantia nigra

Neuroscience ◽  
2005 ◽  
Vol 130 (2) ◽  
pp. 513-518 ◽  
Author(s):  
A. Nagy ◽  
G. Eördegh ◽  
M. Norita ◽  
G. Benedek
Keyword(s):  
Substantia Nigra ◽  
Receptive Field ◽  
Visual Receptive Field ◽  
Receptive Field Properties ◽  
Excitatory Neurons

scholarly journals Visual Receptive Field Structure of Cortical Inhibitory Neurons Revealed by Two-Photon Imaging Guided Recording

2009 ◽  
Vol 29 (34) ◽  
pp. 10520-10532 ◽  
Author(s):  
B.-h. Liu ◽  
P. Li ◽  
Y.-t. Li ◽  
Y. J. Sun ◽  
Y. Yanagawa ◽  
...  
Keyword(s):  
Receptive Field ◽  
Field Structure ◽  
Inhibitory Neurons ◽  
Two Photon ◽  
Visual Receptive Field ◽  
Photon Imaging ◽  
Two Photon Imaging

Visual receptive field properties of neurons in the caudate nucleus

2003 ◽  
Vol 18 (2) ◽  
pp. 449-452 ◽  
Author(s):  
Attila Nagy ◽  
Gabriella Eordegh ◽  
Masao Norita ◽  
Gyorgy Benedek
Keyword(s):  
Receptive Field ◽  
Caudate Nucleus ◽  
Visual Receptive Field ◽  
Receptive Field Properties
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